aa80d65a1312c44a1c41488390f324f76beb8984 Merge parents c04d210 3a4325f max Tue Apr 5 04:35:24 2022 -0700 Adding Jarvis makedoc. Merge branch 'master' of hgwdev.gi.ucsc.edu:/data/git/kent Conflicts: src/hg/makeDb/doc/hg19.txt diff --cc src/hg/makeDb/doc/hg19.txt index c55544d,2066151..9fd19c6 --- src/hg/makeDb/doc/hg19.txt +++ src/hg/makeDb/doc/hg19.txt @@@ -1,34773 -1,34816 +1,34823 @@@ # for emacs: -*- mode: sh; -*- # This file describes how we made the browser database on # NCBI build 37 (February 2009 freeze) aka: # GRCh37 - Genome Reference Consortium Human Reference 37 # Assembly Accession: GCA_000001405.1 # "$Id: hg19.txt,v 1.118 2010/06/10 16:34:40 chinhli Exp $"; ############################################################################# # NOTE FOR NEXT HUMAN ASSEMBLY (2009-07-29 - Brooke): hg19 contains the wrong # sequence for chrM. The accession NC_001807 was replaced in GenBank with # NC_012920, with the note: "This sequence was removed since the accepted # reference sequence for the Homo sapiens mitochondrion is the rCRS/Mitomap # sequence, which is now available as the record NC_012920". # Also, from http://www.mitomap.org/mitoseq.html: # "IMPORTANT: Do not use NC_001807 as "the rCRS" as it is an African # (Yoruban) sequence with over 40 variant nucleotides from the rCRS. As of # July 8, 2009 it has been removed from GenBank as a reference sequence but # may be found, if needed, as AF347015, one of 53 African sequence deposited # in Genbank by Ingman et al in 2001." # Use NC_012920 for the chrM sequence for the next build! # Download sequence (DONE - 2009-02-04 - Hiram) mkdir -p /hive/data/genomes/hg19/download cd /hive/data/genomes/hg19/download mkdir -p assembled_chromosomes wget --cut-dirs=8 --no-parent --timestamping --no-remove-listing -m \ --directory-prefix=assembled_chromosomes \ -nH --ftp-user=anonymous --ftp-password=yourEmail@your.domain \ ftp://ftp.ncbi.nlm.nih.gov/genbank/genomes/Eukaryotes/vertebrates_mammals/Homo_sapiens/GRCh37/Primary_Assembly/assembled_chromosomes mkdir -p alternate_loci for N in 1 2 3 4 5 6 7 8 9 do wget --cut-dirs=6 --no-parent --timestamping --no-remove-listing -m \ --directory-prefix=alternate_loci \ -nH --ftp-user=anonymous --ftp-password=yourEmail@your.domain \ ftp://ftp.ncbi.nlm.nih.gov/genbank/genomes/Eukaryotes/vertebrates_mammals/Homo_sapiens/GRCh37/ALT_REF_LOCI_${N} done mkdir -p unlocalized_scaffolds wget --cut-dirs=8 --no-parent --timestamping --no-remove-listing -m \ --directory-prefix=unlocalized_scaffolds \ -nH --ftp-user=anonymous --ftp-password=yourEmail@your.domain \ ftp://ftp.ncbi.nlm.nih.gov/genbank/genomes/Eukaryotes/vertebrates_mammals/Homo_sapiens/GRCh37/Primary_Assembly/unlocalized_scaffolds mkdir -p unplaced_scaffolds wget --cut-dirs=8 --no-parent --timestamping --no-remove-listing -m \ --directory-prefix=unplaced_scaffolds \ -nH --ftp-user=anonymous --ftp-password=yourEmail@your.domain \ ftp://ftp.ncbi.nlm.nih.gov/genbank/genomes/Eukaryotes/vertebrates_mammals/Homo_sapiens/GRCh37/Primary_Assembly/unplaced_scaffolds mkdir -p placed_scaffolds wget --cut-dirs=8 --no-parent --timestamping --no-remove-listing -m \ --directory-prefix=placed_scaffolds \ -nH --ftp-user=anonymous --ftp-password=hiram@soe.ucsc.edu \ ftp://ftp.ncbi.nlm.nih.gov/genbank/genomes/Eukaryotes/vertebrates_mammals/Homo_sapiens/GRCh37/Primary_Assembly/placed_scaffolds mkdir ucscChr cd ucscChr for F in ../assembled_chromosomes/FASTA/chr*.fa do C=`basename $F` C=${C/.fa} echo -n "${C} " H=`head -1 "${F}"` chrN=`echo $H | sed -e "s/.*Homo sapiens chromosome /chr/; s/, .*//"` A=`echo $H | sed -e "s/. Homo.*//; s/.*gb.//"` echo $chrN $A grep -v "^#" ../assembled_chromosomes/AGP/${chrN}.comp.agp \ | sed -e "s/^${A}/${chrN}/" > ${chrN}.agp echo ">${chrN}" > ${chrN}.fa grep -v "^>" ../assembled_chromosomes/FASTA/${chrN}.fa >> ${chrN}.fa done rm -f scaffolds.agp find ../alternate_loci -type f | grep ".agp$" | while read F do grep "^GL" $F | sed -e \ "s/^GL000250.1/chr6_apd_hap1/" -e \ "s/^GL000251.1/chr6_cox_hap2/" -e \ "s/^GL000252.1/chr6_dbb_hap3/" -e \ "s/^GL000253.1/chr6_mann_hap4/" -e \ "s/^GL000254.1/chr6_mcf_hap5/" -e \ "s/^GL000255.1/chr6_qbl_hap6/" -e \ "s/^GL000256.1/chr6_ssto_hap7/" -e \ "s/^GL000257.1/chr4_ctg9_hap1/" -e \ "s/^GL000258.1/chr17_ctg5_hap1/" done > scaffolds.agp find ../unlocalized_scaffolds -type f | grep ".agp$" \ | while read F do C=`basename ${F}` C=${C/.unlocalized.scaf.agp} grep "^GL" ${F} | sed -e "s/^GL\([0-9]*\).1/${C}_gl\1_random/" done >> scaffolds.agp find ../unplaced_scaffolds -type f | grep ".agp$" \ | while read F do grep "^GL" ${F} | sed -e "s/^GL\([0-9]*\).1/chrUn_gl\1/" done >> scaffolds.agp rm -f scaffolds.fa find ../alternate_loci -type f | grep ".fa$" | while read F do sed -e \ "s/>.*GL000250.*/>chr6_apd_hap1/" -e \ "s/>.*GL000251.*/>chr6_cox_hap2/" -e \ "s/>.*GL000252.*/>chr6_dbb_hap3/" -e \ "s/>.*GL000253.*/>chr6_mann_hap4/" -e \ "s/>.*GL000254.*/>chr6_mcf_hap5/" -e \ "s/>.*GL000255.*/>chr6_qbl_hap6/" -e \ "s/>.*GL000256.*/>chr6_ssto_hap6/" -e \ "s/>.*GL000257.*/>chr4_ctg9_hap1/" -e \ "s/>.*GL000258.*/>chr17_ctg5_hap1/" ${F} done > scaffolds.fa find ../unlocalized_scaffolds -type f | grep ".fa$" | while read F do sed -e \ "s/^>.*GL\([0-9]*\).* chromosome \([0-9]*\).*/>chr\2_gl\1_random/" ${F} done >> scaffolds.fa find ../unplaced_scaffolds -type f | grep ".fa$" | while read F do sed -e "s/.*\(GL[0-9]*\).*/\1/; s/GL/>chrUn_gl/" $F done >> scaffolds.fa ############################################################################ ## Create database (DONE - 2009-03-04 - Hiram) cd /hive/data/genomes/hg19 cat << '_EOF_' > hg19.config.ra # Config parameters for makeGenomeDb.pl: db hg19 scientificName Homo sapiens commonName Human assemblyDate Feb. 2009 assemblyLabel GRCh37 Genome Reference Consortium Human Reference 37 (GCA_000001405.1) orderKey 14 mitoAcc NC_001807 fastaFiles /hive/data/genomes/hg19/download/ucscChr/*.fa agpFiles /hive/data/genomes/hg19/download/ucscChr/*.agp # qualFiles /dev/null dbDbSpeciesDir human taxId 9606 '_EOF_' # << happy emacs time makeGenomeDb.pl hg19.config.ra > makeGenomeDb.log 2>&1 # real 14m8.958s featureBits -countGaps hg19 gap # 239845127 bases of 3137161264 (7.645%) in intersection featureBits -noRandom -noHap -countGaps hg19 gap # 234344806 bases of 3095693983 (7.570%) in intersection # verify featureBits is properly ignorning haps and randoms: egrep -v "_" chrom.sizes | awk '{sum+=$2;print sum,$0}' # 3095693983 chrM 16571 # same total as in featureBits # much later on, discovered that we needed a chrM definition in the # agp files, added by hand to hg19/M/chrM.agp and hg19/hg19.agp the line: # chrM 1 16571 1 F NC001807 1 16571 + # the spaces there are tabs ############################################################################ # running repeat masker (DONE - 2009-03-05 - Hiram) screen # use screen to manage this day-long job mkdir /hive/data/genomes/hg19/bed/repeatMasker cd /hive/data/genomes/hg19/bed/repeatMasker time doRepeatMasker.pl -bigClusterHub=swarm -buildDir=`pwd` hg19 \ > do.log 2>&1 # real 525m23.521s cat faSize.rmsk.txt # 3137161264 bases (239850802 N's 2897310462 real 1431585691 # upper 1465724771 lower) in 93 sequences in 1 files # %46.72 masked total, %50.59 masked real featureBits -countGaps hg19 rmsk # 1465724774 bases of 3137161264 (46.721%) in intersection # this is odd, 3 bases more in featureBits than were masked ? # check it out, make a bed file from the featureBits: featureBits -countGaps -bed=rmsk.bed hg19 rmsk # went down a sequence of intersections with this idea, but could # not get it resolved. It appears there are 75 bases in the rmsk # table that were not masked in the 2bit file ? # Later on, realized that featureBits does not count lower case N's # in the "lower" category, but only in the N's category. # trying a non-split table: hgsql -e "show tables;" hg19 | grep _rmsk | while read T do hgsql -e "drop table ${T};" hg19 done hgLoadOut -nosplit -verbose=2 -table=rmsk hg19 hg19.fa.out bad rep range [4385, 4384] line 1348605 of hg19.fa.out bad rep range [5563, 5562] line 1563988 of hg19.fa.out bad rep range [4539, 4538] line 3111186 of hg19.fa.out # featureBits still reports 1465724774 bases in rmsk table # cleaning the hg19.fa.out file: cp hg19.fa.out hg19.clean.out # edit hg19.clean.out and remove the three lines: # 1467 20.7 1.2 17.6 chr14 35056767 35056794 (72292746) + L1ME1 LINE/L1 4385 4384 (1761) 1120962 # 1943 23.8 5.0 12.6 chr15 65775909 65775924 (36755468) + L1MC4 LINE/L1 5563 5562 (2480) 1299299 # 2463 25.1 5.0 11.6 chr3 121291056 121291083 (76731347) + L1M3 LINE/L1 4539 4538 (1608) 2589267 # reload the table hgsql -e "drop table rmsk;" hg19 hgLoadOut -nosplit -verbose=2 -table=rmsk hg19 hg19.clean.out # try masking with this clean file: twoBitMask /hive/data/genomes/hg19/hg19.unmasked.2bit hg19.clean.out \ hg19.clean.2bit twoBitToFa hg19.clean.2bit stdout | faSize stdin > faSize.clean.txt cat faSize.clean.txt # this gives the lower by 75 bases result: # 3137161264 bases (239850802 N's 2897310462 real 1431585763 upper # 1465724699 lower) in 93 sequences in 1 files # %46.72 masked total, %50.59 masked real featureBits -countGaps hg19 rmsk # 1465724774 bases of 3137161264 (46.721%) in intersection # is the countGaps interferring ? featureBits hg19 rmsk # 1465724774 bases of 2897316137 (50.589%) in intersection # nope, lets' see what the .out file has: grep chr hg19.clean.out | sed -e "s/^ *//" | awk '{print $5,$6-1,$7}' \ | sort -k1,1 -k2,2n > hg19.clean.out.bed featureBits -countGaps hg19 hg19.clean.out.bed # 1465724774 bases of 3137161264 (46.721%) in intersection # is it perhaps not masking N's ? twoBitToFa hg19.clean.2bit stdout | grep n | less # that does find some lower case n's, find all N's: findMotif -strand=+ -motif=gattaca -verbose=4 hg19.clean.2bit \ 2> findMotif.out grep "^#GAP" findMotif.out | sed -e "s/#GAP //" > nLocations.bed # which cover: featureBits -countGaps hg19 nLocations.bed # 251299071 bases of 3137161264 (8.010%) in intersection # overlapping rmsk business with these N locations: featureBits -countGaps hg19 hg19.clean.out.bed nLocations.bed # 6494740 bases of 3137161264 (0.207%) in intersection # and overlapping with gap: featureBits -countGaps hg19 gap nLocations.bed # 239845127 bases of 3137161264 (7.645%) in intersection ############################################################################ # running TRF simple repeats (DONE - 2009-03-05 - Hiram) screen # use screen to manage this day-long job mkdir /hive/data/genomes/hg19/bed/simpleRepeat cd /hive/data/genomes/hg19/bed/simpleRepeat time doSimpleRepeat.pl -bigClusterHub=pk -workhorse=hgwdev \ -smallClusterHub=pk -buildDir=`pwd` hg19 > do.log 2>&1 # real 33m25.815s twoBitMask bed/repeatMasker/hg19.clean.2bit \ -add bed/simpleRepeat/trfMask.bed hg19.2bit twoBitToFa hg19.2bit stdout | faSize stdin > faSize.hg19.2bit.txt # 3137161264 bases (239850802 N's 2897310462 real 1430387259 upper # 1466923203 lower) in 93 sequences in 1 files # %46.76 masked total, %50.63 masked real ############################################################################ # prepare cluster data (DONE - 2009-03-06 - Hiram) cd /hive/data/genomes/hg19 rm /gbdb/hg19/hg19.2bit ln -s `pwd`/hg19.2bit /gbdb/hg19/hg19.2bit time blat hg19.2bit \ /dev/null /dev/null -tileSize=11 -makeOoc=11.ooc -repMatch=1024 # Wrote 30675 overused 11-mers to 11.ooc # real 3m11.302s mkdir /hive/data/staging/data/hg19 cp -p hg19.2bit /hive/data/staging/data/hg19 cp -p 11.ooc /hive/data/staging/data/hg19 cp -p chrom.sizes /hive/data/staging/data/hg19 mkdir separateChrs cd separateChrs grep -v "_" ../chrom.sizes | awk '{print $1}' | while read C do twoBitToFa -seq="${C}" ../hg19.2bit stdout done | faToTwoBit stdin hg19.chrOnly.2bit twoBitInfo hg19.chrOnly.2bit stdout | sort -k2,2nr > chrOnly.chrom.sizes grep "_hap" ../chrom.sizes | awk '{print $1}' | while read C do twoBitToFa -seq="${C}" ../hg19.2bit stdout done | faToTwoBit stdin hg19.hapOnly.2bit twoBitInfo hg19.hapOnly.2bit stdout | sort -k2,2nr > hapOnly.chrom.sizes grep "_" ../chrom.sizes | grep -v "_hap" | awk '{print $1}' | while read C do twoBitToFa -seq="${C}" ../hg19.2bit stdout done | faToTwoBit stdin hg19.scaffolds.2bit twoBitInfo hg19.scaffolds.2bit stdout | sort -k2,2nr > scaffolds.chrom.sizes cp -p *.2bit *.sizes /hive/data/staging/data/hg19 # ask admin to sync this directory: /hive/data/staging/data/hg19/ # to the kluster nodes /scratch/data/hg19/ ############################################################################ # running cpgIsland business (DONE - 2009-03-06 - Hiram) mkdir /hive/data/genomes/hg19/bed/cpgIsland cd /hive/data/genomes/hg19/bed/cpgIsland cvs -d /projects/compbio/cvsroot checkout -P hg3rdParty/cpgIslands cd hg3rdParty/cpgIslands # comment out the following two lines if it compiles cleanly # some day (there were some other fixups too, adding include lines) sed -e "s#\(extern char\* malloc\)#// \1#" cpg_lh.c > tmp.c mv tmp.c cpg_lh.c make cd ../../ ln -s hg3rdParty/cpgIslands/cpglh.exe mkdir -p hardMaskedFa cut -f1 ../../chrom.sizes | while read C do echo ${C} twoBitToFa ../../hg19.2bit:$C stdout \ | maskOutFa stdin hard hardMaskedFa/${C}.fa done cut -f1 ../../chrom.sizes > chr.list cat << '_EOF_' > template #LOOP ./runOne $(root1) {check out line results/$(root1).cpg} #ENDLOOP '_EOF_' # << happy emacs cat << '_EOF_' > runOne #!/bin/csh -fe ./cpglh.exe hardMaskedFa/$1.fa > /scratch/tmp/$1.$$ mv /scratch/tmp/$1.$$ $2 '_EOF_' # << happy emacs gensub2 chr.list single template jobList para create jobList para try para check ... etc para time # Completed: 93 of 93 jobs # CPU time in finished jobs: 172s 2.86m 0.05h 0.00d 0.000 y # IO & Wait Time: 1748s 29.14m 0.49h 0.02d 0.000 y # Average job time: 21s 0.34m 0.01h 0.00d # Longest finished job: 34s 0.57m 0.01h 0.00d # Submission to last job: 83s 1.38m 0.02h 0.00d # Transform cpglh output to bed + catDir results | awk '{ $2 = $2 - 1; width = $3 - $2; printf("%s\t%d\t%s\t%s %s\t%s\t%s\t%0.0f\t%0.1f\t%s\t%s\n", $1, $2, $3, $5,$6, width, $6, width*$7*0.01, 100.0*2*$6/width, $7, $9); }' > cpgIsland.bed cd /hive/data/genomes/hg19/bed/cpgIsland hgLoadBed hg19 cpgIslandExt -tab \ -sqlTable=$HOME/kent/src/hg/lib/cpgIslandExt.sql cpgIsland.bed # Reading cpgIsland.bed # Loaded 28226 elements of size 10 # Sorted # Saving bed.tab # Loading hg19 ############################################################################ # create lift file on unBridged gaps for genbank splits (2009-03-09 - Hiram) mkdir /hive/data/genomes/hg19/bed/gap cd /hive/data/genomes/hg19/bed/gap gapToLift hg19 hg19.unBridged.lift -bedFile=unBridged.lift.bed cp -p hg19.unBridged.lift ../../jkStuff cp -p hg19.unBridged.lift /hive/data/staging/data/hg19 ############################################################################ # AUTO UPDATE GENBANK RUN (DONE - 2009-03-07,13 - Hiram) # align with latest genbank process. cd ~/kent/src/hg/makeDb/genbank cvsup # edit etc/genbank.conf to add hg19 just after hg18 # hg19 - GRCh37 - Genome Reference Consortium Human Reference 37 # Assembly Accession: GCA_000001405.1 hg19.serverGenome = /hive/data/genomes/hg19/hg19.2bit hg19.clusterGenome = /scratch/data/hg19/hg19.2bit hg19.ooc = /scratch/data/hg19/11.ooc hg19.lift = /hive/data/genomes/hg19/jkStuff/hg19.unBridged.lift hg19.hapRegions = /hive/data/genomes/hg19/jkStuff/hg19.haplotypes.psl hg19.refseq.mrna.native.pslCDnaFilter = ${finished.refseq.mrna.native.pslCDnaFilter} hg19.refseq.mrna.xeno.pslCDnaFilter = ${finished.refseq.mrna.xeno.pslCDnaFilter} hg19.genbank.mrna.native.pslCDnaFilter = ${finished.genbank.mrna.native.pslCDnaFilter} hg19.genbank.mrna.xeno.pslCDnaFilter = ${finished.genbank.mrna.xeno.pslCDnaFilter} hg19.genbank.est.native.pslCDnaFilter = ${finished.genbank.est.native.pslCDnaFilter} hg19.genbank.est.xeno.pslCDnaFilter = ${finished.genbank.est.xeno.pslCDnaFilter} hg19.genbank.est.xeno.load = yes hg19.refseq.mrna.xeno.load = yes hg19.refseq.mrna.xeno.loadDesc = yes hg19.mgc = yes hg19.orfeome = yes hg19.downloadDir = hg19 hg19.ccds.ncbiBuild = 37.1 hg19.upstreamGeneTbl = refGene hg19.upstreamMaf = multiz46way /hive/data/genomes/hg19/bed/multiz46way/species.list hg19.genbank.mrna.blatTargetDb = yes hg19.perChromTables = no cvs ci -m "Added hg19." etc/genbank.conf # update /cluster/data/genbank/: make etc-update ssh genbank screen # use a screen to manage this job cd /cluster/data/genbank time nice -n +19 bin/gbAlignStep -initial hg19 & # logFile: var/build/logs/2009.03.10-20:28:44.hg19.initalign.log # real 2761m13.680s # that ran on the swarm with little interference and no problems # load database when finished ssh hgwdev screen # use screen to manage this long running command cd /cluster/data/genbank time nice -n +19 ./bin/gbDbLoadStep -drop -initialLoad hg19 & # logFile: var/dbload/hgwdev/logs/2009.03.12-21:10:02.dbload.log # real 369m11.941s # enable daily alignment and update of hgwdev (DONE - 2009-02-24 - Hiram) cd ~/kent/src/hg/makeDb/genbank cvsup # add hg19 to: etc/align.dbs etc/hgwdev.dbs cvs ci -m "Added hg19 - Human - GRCh37" etc/align.dbs etc/hgwdev.dbs make etc-update ######################################################################### # BLATSERVERS ENTRY (DONE - 2009-03-09 - Hiram) # After getting a blat server assigned by the Blat Server Gods, ssh hgwdev hgsql -e 'INSERT INTO blatServers (db, host, port, isTrans, canPcr) \ VALUES ("hg19", "blat13", "17778", "1", "0"); \ INSERT INTO blatServers (db, host, port, isTrans, canPcr) \ VALUES ("hg19", "blat13", "17779", "0", "1");' \ hgcentraltest # test it with some sequence ############################################################################ # Making download files (DONE - 2009-03-13 - Hiram) cd /hive/data/genomes/hg19 makeDownloads.pl -allowMissedTrfs -noChromRoot hg19 \ > downloads.log 2>&1 ############################################################################ # Venter1 chain, net experiment (DONE - Hiram - 2009-03-15) doBlastzChainNet.pl `pwd`/DEF \ -stop=partition -bigClusterHub=swarm \ -smallClusterHub=swarm -chainMinScore=1000 -chainLinearGap=medium \ -workhorse=hgwdev -fileServer=hgwdev > partition.log 2>&1 doBlastzChainNet.pl `pwd`/DEF \ -continue=blastz -stop=blastz -bigClusterHub=swarm \ -smallClusterHub=swarm -chainMinScore=1000 -chainLinearGap=medium \ -workhorse=hgwdev -fileServer=hgwdev > blastz.log 2>&1 doBlastzChainNet.pl `pwd`/DEF \ -continue=cat -stop=net -bigClusterHub=swarm \ -smallClusterHub=swarm -chainMinScore=1000 -chainLinearGap=medium \ -workhorse=hgwdev -fileServer=hgwdev > net.log 2>&1 real 163m28.438s # to load, run it in debug, then check the load script doBlastzChainNet.pl `pwd`/DEF \ -noLoadChainSplit -continue=load -stop=load -bigClusterHub=swarm \ -debug -smallClusterHub=swarm -chainMinScore=1000 \ -chainLinearGap=medium \ -workhorse=hgwdev -fileServer=hgwdev > load.log 2>&1 # and create a synNet for multiz, run in debug, and examine script # to make sure it works correctly doBlastzChainNet.pl `pwd`/DEF \ -syntenicNet -continue=syntenicNet -stop=syntenicNet \ -debug -bigClusterHub=swarm \ -smallClusterHub=swarm -chainMinScore=1000 -chainLinearGap=medium \ -workhorse=hgwdev -fileServer=hgwdev > synNet.log 2>&1 # real 31m11.216s ############################################################################ # reset position to chr6 haplotype situation hgsql -e \ 'update dbDb set defaultPos="chr6:28343766-33555363" where name="hg19";' \ hgcentraltest # reset to a smaller range (2009-04-24 - Brooke) # this is the SOD1 gene, implicated in Lou Gehrig's disease. hgsql -e \ 'update dbDb set defaultPos="chr21:33,031,597-33,041,570" where name="hg19";' \ hgcentraltest ############################################################################ # Self Lastz run (DONE - 2009-03-19 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzSelf.2009-03-19 cd /hive/data/genomes/hg19/bed/lastzSelf.2009-03-19 cat << '_EOF_' # human vs human BLASTZ=lastz # maximum M allowed with lastz is only 255 BLASTZ_M=254 # lastz does not like the O= and E= lines in the matrix file # this copy has that removed from /scratch/data/scratch/human_chimp.v2.q BLASTZ_Q=/hive/data/genomes/hg19/bed/lastzHg19Haps.2009-03-09/human_chimp.v2.q # and place those items here BLASTZ_O=600 BLASTZ_E=150 # other parameters from hg18 vs venter1 lastz on advice from Webb BLASTZ_K=10000 BLASTZ_Y=15000 BLASTZ_T=2 # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 SEQ1_IN_CONTIGS=0 # QUERY: Human Hg19 SEQ2_DIR=/scratch/data/hg19/hg19.2bit SEQ2_LEN=/scratch/data/hg19/chrom.sizes SEQ2_CHUNK=10000000 SEQ2_LAP=0 SEQ2_IN_CONTIGS=0 BASE=/hive/data/genomes/hg19/bed/lastzSelf.2009-03-19 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs screen # use screen to manage this long-running job time nice -n +19 doBlastzChainNet.pl `pwd`/DEF -verbose=2 \ -noLoadChainSplit -chainMinScore=2000 -chainLinearGap=medium \ -workhorse=hgwdev \ -stop=net -smallClusterHub=pk -bigClusterHub=swarm > do.log 2>&1 & # cluster difficulties, finished manually, then: time nice -n +19 doBlastzChainNet.pl `pwd`/DEF -verbose=2 \ -noLoadChainSplit -chainMinScore=2000 -chainLinearGap=medium \ -continue=cat -workhorse=hgwdev \ -stop=net -smallClusterHub=pk -bigClusterHub=swarm > cat.log 2>&1 & time nice -n +19 doBlastzChainNet.pl `pwd`/DEF -verbose=2 \ -noLoadChainSplit -chainMinScore=2000 -chainLinearGap=medium \ -continue=load -debug -workhorse=hgwdev \ -stop=load -smallClusterHub=pk -bigClusterHub=swarm > load.debug.log 2>&1 & # that indicates it would do: hgLoadChain -tIndex hg19 chainSelf hg19.hg19.all.chain.gz # adding -normScore hgLoadChain -normScore -tIndex hg19 chainSelf hg19.hg19.all.chain.gz # a user asked about axtNet files, d time nice -n +19 doBlastzChainNet.pl `pwd`/DEF -verbose=2 \ -noLoadChainSplit -chainMinScore=2000 -chainLinearGap=medium \ -ignoreSelf -continue=net -workhorse=hgwdev \ -stop=net -smallClusterHub=encodek -bigClusterHub=swarm > net.log 2>&1 & # about 8m 17s cd /hive/data/genomes/hg19/bed/lastzSelf.2009-03-19/axtChain netClass -verbose=0 -noAr noClass.net hg19 hg19 hg19.hg19.net gzip hg19.hg19.net cd /usr/local/apache/htdocs-hgdownload/goldenPath/hg19/vsSelf ln -s \ /hive/data/genomes/hg19/bed/lastzSelf.2009-03-19/axtChain/hg19.hg19.net.gz . # fixup README.txt and md5sum.txt files md5sum hg19.hg19.net.gz >> md5sum.txt # Brian wants to see the track: netFilter -minGap=10 hg19.hg19.net.gz \ | hgLoadNet -verbose=0 hg19 netSelf stdin ############################################################################ # Chimp Lastz run (DONE - 2009-03-19 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzPanTro2.2009-03-19 cd /hive/data/genomes/hg19/bed/lastzPanTro2.2009-03-19 cat << '_EOF_' # human vs chimp BLASTZ=lastz # maximum M allowed with lastz is only 254 BLASTZ_M=254 # lastz does not like the O= and E= lines in the matrix file # this copy has that removed from /scratch/data/scratch/human_chimp.v2.q BLASTZ_Q=/hive/data/genomes/hg19/bed/lastzHg19Haps.2009-03-09/human_chimp.v2.q # and place those items here BLASTZ_O=600 BLASTZ_E=150 # other parameters from panTro2 vs hg18 lastz on advice from Webb BLASTZ_K=4500 BLASTZ_Y=15000 BLASTZ_T=2 # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 SEQ1_IN_CONTIGS=0 # QUERY: Chimp PanTro2 SEQ2_DIR=/scratch/data/panTro2/panTro2.2bit SEQ2_LEN=/scratch/data/panTro2/chrom.sizes SEQ2_CHUNK=10000000 SEQ2_LAP=0 SEQ2_IN_CONTIGS=0 BASE=/hive/data/genomes/hg19/bed/lastzPanTro2.2009-03-19 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs screen # use screen to manage this long-running job time nice -n +19 doBlastzChainNet.pl `pwd`/DEF -verbose=2 \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=pk -bigClusterHub=swarm > do.log 2>&1 & # real 173m22.880s # cluster problems, continuing after lastz done: time nice -n +19 doBlastzChainNet.pl `pwd`/DEF -verbose=2 -continue=cat \ -stop=net -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=pk -bigClusterHub=swarm \ > net.log 2>&1 & # real 81m20.209s # continuing with the load and adding syntenicNet time nice -n +19 doBlastzChainNet.pl `pwd`/DEF -verbose=2 -continue=load \ -syntenicNet -noLoadChainSplit -chainMinScore=5000 \ -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=pk -bigClusterHub=swarm \ > load.log 2>&1 & # real 47m17.871s cat fb.hg19.chainPanTro2Link.txt # 2747983350 bases of 2897316137 (94.846%) in intersection # running the swap - DONE - 2009-05-24 ssh swarm mkdir /hive/data/genomes/panTro2/bed/blastz.hg19.swap cd /hive/data/genomes/panTro2/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzPanTro2.2009-03-19/DEF \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=swarm -bigClusterHub=swarm \ > swap.log 2>&1 & # real 723m41.377s cat fb.panTro2.chainHg19Link.txt # 2761343871 bases of 2909485072 (94.908%) in intersection ############################################################################ # Creating the pushQ entry (DONE - 2009-03-20 - Hiram) mkdir /hive/data/genomes/hg19/pushQ cd /hive/data/genomes/hg19/pushQ makePushQSql.pl hg19 > hg19.pushQ.sql 2> make.err # many complaints about the chain and net tables from the haplotype # experiments, and this table: # orfeomeGenes # which is probably in genbank, and these usual ones: # hg19 does not have seq # hg19 does not have extFile ############################################################################ # Determine PAR region of X and Y (DONE - 2009-03-20 - Hiram) mkdir /hive/data/genomes/hg19/bed/parRegion cd /hive/data/genomes/hg19/bed/parRegion awk '$5 != "N"' ../../X/chrX.agp | awk '{print $6}' | sort > chrX.cloneList awk '$5 != "N"' ../../Y/chrY.agp | awk '{print $6}' | sort > chrY.cloneList comm -12 chrX.cloneList chrY.cloneList > chrXY.par.clone.list cat chrXY.par.clone.list \ | while read C; do grep "${C}" ../../X/chrX.agp; done \ | sort -k1,1 -k2,2n >> chrX.par.region.agp cat chrXY.par.clone.list \ | while read C; do grep "${C}" ../../Y/chrY.agp; done \ | sort -k1,1 -k2,2n >> chrY.par.region.agp awk '{printf "%s\t%d\t%d\t%s\n", $1, $2-1, $3, $6}' chrY.par.region.agp \ > chrY.par.region.bed awk '{printf "%s\t%d\t%d\t%s\n", $1, $2-1, $3, $6}' chrX.par.region.agp \ > chrX.par.region.bed # use those bed files in custom tracks on hg19 to verify that they # are two continuous regions with only gaps between these items # these location extents are: (zero relative) # chrX 60000 2722842 # chrX 154906585 155260560 # chrY 10000 2649520 # chrY 59034049 59363566 ############################################################################ # Gorilla Lastz run (DONE - 2009-03-21,05-13 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzGorGor1.2009-03-21 cd /hive/data/genomes/hg19/bed/lastzGorGor1.2009-03-21 cat << '_EOF_' # human vs gorilla BLASTZ=lastz # maximum M allowed with lastz is only 254 BLASTZ_M=254 # lastz does not like the O= and E= lines in the matrix file # this copy has that removed from /scratch/data/scratch/human_chimp.v2.q BLASTZ_Q=/hive/data/genomes/hg19/bed/lastzHg19Haps.2009-03-09/human_chimp.v2.q # and place those items here BLASTZ_O=600 BLASTZ_E=150 # other parameters from panTro2 vs hg18 lastz on advice from Webb BLASTZ_K=4500 BLASTZ_Y=15000 BLASTZ_T=2 # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=100000000 SEQ1_LAP=10000 SEQ1_IN_CONTIGS=0 # QUERY: Gorilla gorGor1 SEQ2_DIR=/scratch/data/gorGor1/gorGor1.2bit SEQ2_LEN=/scratch/data/gorGor1/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LIMIT=300 SEQ2_LAP=0 SEQ2_IN_CONTIGS=0 BASE=/hive/data/genomes/hg19/bed/lastzGorGor1.2009-03-21 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs screen # use screen to manage this long-running job time nice -n +19 doBlastzChainNet.pl `pwd`/DEF -verbose=2 \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=pk -bigClusterHub=swarm \ > do.log 2>&1 & cat fb.hg19.chainGorGor1Link.txt # 1723432141 bases of 2897316137 (59.484%) in intersection doRecipBest.pl -buildDir=`pwd` hg19 gorGor1 > rbest.log 2>&1 ############################################################################ # PREPARE LINEAGE SPECIFIC REPEAT FILES FOR LASTZ (DONE - 2009-04-02 - Hiram) ssh pk mkdir /hive/data/genomes/hg19/bed/linSpecRep cd /hive/data/genomes/hg19/bed/linSpecRep # create individual .out files from the master record in ../repeatMasker mkdir splitOut cat << '_EOF_' > split.csh #!/bin/csh -fe set C = $1 head -3 ../repeatMasker/hg19.clean.out > splitOut/${C}.out grep "${C} " ../repeatMasker/hg19.clean.out >> splitOut/${C}.out '_EOF_' # << happy emacs cat << '_EOF_' > template #LOOP split.csh $(root1) {check out line+ splitOut/$(root1).out} #ENDLOOP '_EOF_' # << happy emacs cut -f1 ../../chrom.sizes > chrom.list gensub2 chrom.list single template jobList para create jobList para try ... check ... push ... etc... # Completed: 93 of 93 jobs # CPU time in finished jobs: 127s 2.12m 0.04h 0.00d 0.000 y # IO & Wait Time: 17154s 285.90m 4.76h 0.20d 0.001 y # Average job time: 186s 3.10m 0.05h 0.00d # Longest finished job: 224s 3.73m 0.06h 0.00d # Submission to last job: 280s 4.67m 0.08h 0.00d # now, we can date and process each of those .out files # this really should be a single creation of notInOthers # These four different ones all end up to be the same anyhow # the notInMouse becomes notInOthers below and the others are removed. mkdir dateRepeats cd dateRepeats cat << '_EOF_' > mkLSR #!/bin/csh -fe rm -f $1.out_mus-musculus_rattus_canis-familiaris_bos-taurus ln -s ../splitOut/$1.out . /scratch/data/RepeatMasker/DateRepeats \ $1.out -query human -comp mouse -comp rat -comp dog -comp cow rm $1.out mkdir -p ../notInMouse ../notInRat ../notInDog ../notInCow /cluster/bin/scripts/extractRepeats 1 $1.out_mus*-taurus \ > ../notInMouse/$1.out.spec /cluster/bin/scripts/extractRepeats 2 $1.out_mus*-taurus \ > ../notInRat/$1.out.spec /cluster/bin/scripts/extractRepeats 3 $1.out_mus*-taurus \ > ../notInDog/$1.out.spec /cluster/bin/scripts/extractRepeats 4 $1.out_mus*-taurus \ > ../notInCow/$1.out.spec '_EOF_' # << happy emacs chmod +x mkLSR cat << '_EOF_' > template #LOOP ./mkLSR $(path1) {check out line+ $(path1).out_mus-musculus_rattus_canis-familiaris_bos-taurus} #ENDLOOP '_EOF_' # << happy emacs gensub2 ../chrom.list single template jobList para try ... check ... push ... etc... para time # Completed: 93 of 93 jobs # CPU time in finished jobs: 2441s 40.69m 0.68h 0.03d 0.000 y # IO & Wait Time: 332s 5.53m 0.09h 0.00d 0.000 y # Average job time: 30s 0.50m 0.01h 0.00d # Longest finished job: 125s 2.08m 0.03h 0.00d # Submission to last job: 454s 7.57m 0.13h 0.01d done # these four types of out.spec results all turn out to be identical # To check identical cd /hive/data/genomes/hg19/bed/linSpecRep find . -name "*.out.spec" | \ while read FN; do echo `cat ${FN} | sum -r` ${FN}; done \ | sort -k1,1n | sort -t"/" -k3,3 | sed -e "s#./notIn.*/##" \ | sort | uniq -c | less # You will see they are all a count of 4 # Set them up on scratch data and get to all the kluster nodes: mkdir /hive/data/staging/data/hg19/lineageSpecificRepeats cd notInMouse rsync -a --progress ./ /hive/data/staging/data/hg19/lineageSpecificRepeats cd .. mv notInMouse notInOthers # do not need to keep all of these rm -fr notInRat notInDog notInCow # We also need the nibs for blastz runs with lineage specific repeats mkdir /hive/data/genomes/hg19/bed/nibs cd /hive/data/genomes/hg19/bed/nibs cut -f1 ../../chrom.sizes | while read C do twoBitToFa -seq=${C} ../../hg19.2bit stdout \ | faToNib -softMask stdin ${C}.nib echo "${C} done" done mkdir /hive/data/staging/data/hg19/nib rsync -a --progress ./ /hive/data/staging/data/hg19/nib # Ask cluster-admin to sync /scratch/ filesystem to kluster nodes ############################################################################# # create gc5Base download file (DONE - 2009-04-24 - Hiram) cd /hive/data/genomes/hg19/bed/gc5Base hgGcPercent -wigOut -doGaps -file=stdout -win=5 -verbose=0 hg19 \ /cluster/data/hg19/hg19.2bit | gzip -c > hg19.gc5Base.txt.gz ############################################################################# # Physical Map Contigs - ctgPos (DONE - 2009-04-23 - Hiram) (Alt. haplotypes added 4/12/10 angie) mkdir /hive/data/genomes/hg19/bed/ctgPos cd /hive/data/genomes/hg19/bed/ctgPos cat << '_EOF_' > mkCtgPos.sh AGP="/hive/data/genomes/hg19/download/assembled_chromosomes/AGP" export AGP for F in `(cd ${AGP}; ls chr*.agp | grep -v ".comp.agp")` do C=${F/.agp/} grep "^CM" "${AGP}/${F}" | awk '$5 != "N"' | awk ' { printf "%s\t%d\t%s\t%d\t%d\n", $6, $8-$7+1, "'${C}'", $2-1+$7-1, $2-1+$8 } ' done '_EOF_' # << happy emacs chmod +x mkCtgPos.sh ./mkCtgPos.sh > ctgPos.tab cat << '_EOF_' > mkRanCtgPos.sh AGP="/hive/data/genomes/hg19/download/unlocalized_scaffolds/AGP" export AGP for F in `(cd ${AGP}; ls chr*.agp)` do C=${F/.unlocalized.scaf.agp/} c=${C/chr/} export C c grep "^GL" "${AGP}/${F}" | awk '$5 != "N"' | awk ' BEGIN { ctgName="" ctgStart=0 ctgEnd=0 chrom="'${c}'" ctgNameLower="" } { if (match(ctgName,$1)) { ctgEnd = $3 } else { if (length(ctgName) > 0) { size=ctgEnd - ctgStart printf "%s\t%d\tchr%s_%s_random\t%d\t%d\n", ctgName, size, chrom, ctgNameLower, ctgStart, ctgEnd } ctgStart = $2 - 1 ctgEnd = $3 ctgName = $1 ctgNameLower = tolower($1) sub(".1$","",ctgNameLower) } } END { size=ctgEnd - ctgStart printf "%s\t%d\tchr%s_%s_random\t%d\t%d\n", ctgName, size, chrom, ctgNameLower, ctgStart, ctgEnd } ' done '_EOF_' # << happy emacs chmod +x mkRanCtgPos.sh ./mkRanCtgPos.sh >> ctgPos.tab # fetch .sql definition from hg18 chmod 777 . hgsqldump --all -c --tab=. hg18 ctgPos # Don't confuse us w/hg18 data: rm ctgPos.txt chmod 775 . hgsql hg19 < ctgPos.sql hgsql -e 'load data local infile "ctgPos.tab" into table ctgPos;' hg19 # 4/12/10 (angie): add the alt loci: perl -we 'while (<>) { \ next if (/^#/); chomp; @w = split; \ $w[0] = lc($w[0]); $w[0] =~ s/^hs//; $w[0] =~ s/_mhc_/_/; $w[0] =~ s/_ctg1$//; \ $w[0] =~ s/_apd$/_apd_hap1/; $w[0] =~ s/_cox$/_cox_hap2/; \ $w[0] =~ s/_dbb$/_dbb_hap3/; $w[0] =~ s/_mann$/_mann_hap4/; \ $w[0] =~ s/_mcf$/_mcf_hap5/; $w[0] =~ s/_qbl$/_qbl_hap6/; \ $w[0] =~ s/_ssto$/_ssto_hap7/; \ $w[0] =~ s/_1(_ctg\d)/${1}_hap1/; \ if ($w[0] eq "chr6_cox_hap2" && $w[8] == 4873745) { $w[8] = 4795371; } # yep, inconsistent \ print join("\t", $w[1], $w[8], $w[0], 0, $w[8]) . "\n"; }' \ /hive/data/genomes/hg19/download/alternate_loci/*/placed_scaffolds/alt_locus_scaf2primary.pos \ >> ctgPos.tab sort -k 3,3 -k4n,4n ctgPos.tab \ | hgLoadSqlTab hg19 ctgPos ctgPos.sql stdin # TODO: tell NCBI alternate_loci/ALT_REF_LOCI_2/placed_scaffolds/alt_locus_scaf2primary.pos # has size inconsistent w/AGP, FASTA ############################################################################# # CLONE ENDS - first step for BACEND/CytoBand tracks # (DONE - 2009-04-28 - Hiram) mkdir -p /hive/data/genomes/hg19/bed/cloneend/ncbi cd /hive/data/genomes/hg19/bed/cloneend/ncbi wget --timestamping \ 'ftp://ftp.ncbi.nih.gov/genomes/CLONEEND/homo_sapiens/9606_clone_ends*.mfa.gz' wget --timestamping \ 'ftp://ftp.ncbi.nih.gov/genomes/CLONEEND/homo_sapiens/9606_clone_info*.txt.gz' cd /hive/data/genomes/hg19/bed/cloneend # seems like the *.mfa files were split just for convenience # concatenate for F in ncbi/*.mfa.gz do zcat "${F}" echo "${F}" 1>&2 done | gzip > all.mfa.gz # that 1>&2 echos to stderr so you can see the file name and not # interfere with the pipe stdout output to gzip # Convert the title line of the all.mfa file zcat all.mfa.gz \ | sed -e "s#^>gi.[0-9]*.gb.#>#; s#^>gi.[0-9]*.emb.#>#; s#\.[0-9]|.*##" \ | gzip > cloneEnds.fa.gz zcat all.mfa | ./convert.pl | gzip > cloneEnds.fa.gz # make sure nothing got broken: faSize all.mfa.gz # 400901385 bases (5941742 N's 394959643 real 255835696 upper 139123947 lower) # in 833173 sequences in 1 files faSize cloneEnds.fa.gz # 400901385 bases (5941742 N's 394959643 real 255835696 upper 139123947 lower) # in 833173 sequences in 1 files # identical numbers # you can also carefully check the names: zcat all.mfa.gz | grep "^>" | awk -F'|' '{print $4}' \ | sed -e "s/\.[0-9]$//" | sort > mfa.names # should be the same as: zcat cloneEnds.fa.gz | grep "^>" | sed -e "s/>//" | sort > clone.names # concatenate the text files, too bash for F in ncbi/*.txt.gz do zcat "${F}" echo "${F}" 1>&2 done | gzip > all.txt.gz # generate cloneEndPairs.txt and cloneEndSingles.txt zcat all.txt.gz >all.txt $HOME/kent/src/hg/utils/cloneEndParse.pl all.txt # Reading in end info # Writing out pair info # Writing out singleton info # 302264 pairs and 203094 singles # examined all the clone names and all the bac end names in these two # files and compared with business from all.txt to make sure we properly # classified all of them correctly. We had 833,173 clone sequences, # and 501,135 bac end names # faSplit does not function correctly if given a .gz source file # AND, we need the unzipped file for sequence loading below gunzip cloneEnds.fa.gz # split mkdir splitdir cd splitdir faSplit sequence ../cloneEnds.fa 100 cloneEnds # Check to ensure no breakage: cat *.fa | faSize stdin # 400901385 bases (5941742 N's 394959643 real 255835696 upper 139123947 lower) # in 833173 sequences in 1 files # same numbers as before # load sequences ssh hgwdev mkdir /gbdb/hg19/cloneend cd /gbdb/hg19/cloneend ln -s /hive/data/genomes/hg19/bed/cloneend/cloneEnds.fa . cd /tmp hgLoadSeq hg19 /gbdb/hg19/cloneend/cloneEnds.fa # Advisory lock created # Creating .tab file # Adding /gbdb/hg19/cloneend/cloneEnds.fa # 833173 sequences # Updating seq table # Advisory lock has been released # All done ############################################################################## # BACEND SEQUENCE ALIGNMENTS (DONE - 2009-04-28,05-20 - Hiram) mkdir -p /hive/data/genomes/hg19/bed/bacends/run.blat cd /hive/data/genomes/hg19/bed/bacends/run.blat # going to run separate runs for the golden path sequence vs. the # randoms, haplotypes, chrUn and chrM partitionSequence.pl 5000000 20000 /scratch/data/hg19/hg19.2bit \ /scratch/data/hg19/chrom.sizes 100 -xdir xdir.sh -lstDir tParts \ | egrep -v "tParts|random|_hap|chrUn" \ | sed -e "s/.*2bit://; s/:/./" > hg19.list ls -1S /hive/data/genomes/hg19/bed/cloneend/splitdir/cloneEnds*.fa \ > bacEnds.list ssh swarm cd /hive/data/genomes/hg19/bed/bacends/run.blat cat > template << '_EOF_' #LOOP runOne.csh $(file1) $(path2) {check out line+ psl/$(root1)/$(file1).$(root2).psl} #ENDLOOP '_EOF_' # << happy emacs cat > runOne.csh << '_EOF_' #!/bin/csh -fe set target = $1 set query = $2 set result = $3 set partSpec = `echo $target | sed -e "s/\./:/"` set start = `echo $partSpec | sed -e "s/.*://; s/-/ /" | awk '{print $1}'` set end = `echo $partSpec | sed -e "s/.*://; s/-/ /" | awk '{print $2}'` set range = `echo $start $end | awk '{print $2-$1}'` set dir = $result:h set chr = `echo $target | sed -e "s/\..*//"` set chrSize = `grep -P "^$chr\t" /scratch/data/hg19/chrom.sizes | cut -f2` set tmpFile = `echo $result | sed -e "s#psl/$chr/#/scratch/tmp/#; s/.psl//"` # echo $tmpFile # echo "chr: $chr $start $end -> size: $chrSize, range: $range" /bin/echo -e "$start\t$partSpec\t$range\t$chr\t$chrSize" > $tmpFile.lift /bin/mkdir -p $dir /cluster/bin/x86_64/blat -ooc=/scratch/data/hg19/11.ooc \ /scratch/data/hg19/hg19.2bit:$partSpec $query $tmpFile.psl rm -f $result liftUp -type=.psl $result $tmpFile.lift error $tmpFile.psl rm -f $tmpFile.lift $tmpFile.psl '_EOF_' # << happy emacs gensub2 hg19.list bacEnds.list template jobList para create jobList # 62034 jobs in batch # these jobs run quickly, limit them to 250 at a time para try, check, -maxJob=250 push, etc ... # Completed: 62034 of 62034 jobs # CPU time in finished jobs: 506023s 8433.72m 140.56h 5.86d 0.016 y # IO & Wait Time: 175853s 2930.88m 48.85h 2.04d 0.006 y # Average job time: 11s 0.18m 0.00h 0.00d # Longest finished job: 752s 12.53m 0.21h 0.01d # Submission to last job: 3533s 58.88m 0.98h 0.04d # combine the alignments time pslSort dirs raw.psl temp psl/chr* # 62034 files in 24 dirs # Got 62034 files 249 files per mid file # real 81m2.820s # -rw-rw-r-- 1 13410334441 Apr 29 12:00 raw.psl # cleanup rmdir temp time pslReps -nearTop=0.02 -minCover=0.60 -minAli=0.85 -noIntrons \ raw.psl bacEnds.psl /dev/null > pslReps.out 2>&1 & # real 5m55.990s # Processed 106254032 alignments # -rw-rw-r-- 1 372734361 Apr 29 12:56 bacEnds.psl wc -l bacEnds.psl # 2852977 bacEnds.psl time pslPairs -tInsert=10000 -minId=0.91 -noBin -min=25000 -max=350000 \ -slopval=10000 -hardMax=500000 -slop -short -long -orphan \ -mismatch -verbose bacEnds.psl \ /cluster/data/hg19/bed/cloneend/cloneEndPairs.txt \ all_bacends bacEnds # Reading pair file # Reading psl file # Creating Pairs # Writing to files # real 0m18.851s # this creates the files: # -rw-rw-r-- 1 21178741 Apr 29 13:00 bacEnds.pairs # -rw-rw-r-- 1 5250873 Apr 29 13:00 bacEnds.orphan # -rw-rw-r-- 1 738045 Apr 29 13:00 bacEnds.short # -rw-rw-r-- 1 463560 Apr 29 13:00 bacEnds.slop # -rw-rw-r-- 1 146369 Apr 29 13:00 bacEnds.mismatch # -rw-rw-r-- 1 3528 Apr 29 13:00 bacEnds.long # filter and sort awk '$5 >= 300' bacEnds.pairs | sort -k1,1 -k2,2n > bacEndPairs.bed awk '$5 >= 300' bacEnds.slop bacEnds.short bacEnds.long \ bacEnds.mismatch bacEnds.orphan | sort -k1,1 -k2,2n > bacEndPairsBad.bed extractPslLoad -noBin bacEnds.psl bacEndPairs.bed \ bacEndPairsBad.bed | headRest 2 stdin | sort -k14,14 -k16,16n \ > bacEndPairs.load.psl ############################################################################ # BACEND Randoms SEQUENCE ALIGNMENTS (DONE - 2009-04-28,05-20 - Hiram) mkdir -p /hive/data/genomes/hg19/bed/bacends/run.randoms cd /hive/data/genomes/hg19/bed/bacends/run.randoms # this separate run for the randoms, haplotypes, chrUn and chrM partitionSequence.pl 5000000 20000 /scratch/data/hg19/hg19.2bit \ /scratch/data/hg19/chrom.sizes 100 -xdir xdir.sh -lstDir tParts \ | egrep "random|_hap|chrUn" \ | sed -e "s/.*2bit://; s/:/./" > random.list cat tParts/*.lst | sed -e "s/.*2bit://; s/:/./" >> random.list ls -1S /hive/data/genomes/hg19/bed/cloneend/splitdir/cloneEnds*.fa \ > bacEnds.list ssh swarm cd /hive/data/genomes/hg19/bed/bacends/run.randoms gensub2 random.list bacEnds.list ../run.blat/template jobList # very similar runOne.csh script as above, but it doesn't need to do # the lift cat > runOne.csh << '_EOF_' #!/bin/csh -fe set target = $1 set query = $2 set result = $3 set partSpec = `echo $target | sed -e "s/\./:/"` set start = `echo $partSpec | sed -e "s/.*://; s/-/ /" | awk '{print $1}'` set end = `echo $partSpec | sed -e "s/.*://; s/-/ /" | awk '{print $2}'` set range = `echo $start $end | awk '{print $2-$1}'` set dir = $result:h set chr = `echo $target | sed -e "s/\..*//"` set chrSize = `grep -P "^$chr\t" /scratch/data/hg19/chrom.sizes | cut -f2` set tmpFile = `echo $result | sed -e "s#psl/$chr/#/scratch/tmp/#; s/.psl//"` # echo $tmpFile # echo "chr: $chr $start $end -> size: $chrSize, range: $range" /bin/echo -e "$start\t$partSpec\t$range\t$chr\t$chrSize" > $tmpFile.lift /bin/mkdir -p $dir /cluster/bin/x86_64/blat -ooc=/scratch/data/hg19/11.ooc \ /scratch/data/hg19/hg19.2bit:$partSpec $query $tmpFile.psl rm -f $result mv $tmpFile.psl $result echo rm -f $tmpFile.lift '_EOF_' # << happy emacs # these jobs run fast, do not let too many of them run para -maxJob=100 try...check...push para time # Completed: 6762 of 6762 jobs # CPU time in finished jobs: 20357s 339.29m 5.65h 0.24d 0.001 y # IO & Wait Time: 17839s 297.31m 4.96h 0.21d 0.001 y # Average job time: 6s 0.09m 0.00h 0.00d # Longest finished job: 261s 4.35m 0.07h 0.00d # Submission to last job: 508s 8.47m 0.14h 0.01d time pslSort dirs raw.psl temp psl/chr* # 6762 files in 69 dirs # Got 6762 files 82 files per mid file # real 6m37.177s # 37044 files in 98 dirs # Got 37044 files 192 files per mid file # real 32m24.804s # -rw-rw-r-- 1 6487445210 Feb 2 21:08 raw.psl time pslReps -nearTop=0.02 -minCover=0.60 -minAli=0.85 -noIntrons \ raw.psl randomEnds.psl randomReps.psr > pslReps.out 2>&1 & # real 0m5.761s # Processed 1254273 alignments # cleanup rmdir temp wc -l randomEnds.psl # 367567 randomEnds.psl time pslPairs -tInsert=10000 -minId=0.91 -noBin -min=25000 -max=350000 \ -slopval=10000 -hardMax=500000 -slop -short -long -orphan \ -mismatch -verbose randomEnds.psl \ /cluster/data/hg19/bed/cloneend/cloneEndPairs.txt \ all_bacends bacEnds # Reading pair file # Reading psl file # Creating Pairs # Writing to files # real 0m11.221s # this creates the files: # -rw-rw-r-- 1 0 Apr 29 14:53 bacEnds.slop # -rw-rw-r-- 1 0 Apr 29 14:53 bacEnds.short # -rw-rw-r-- 1 0 Apr 29 14:53 bacEnds.mismatch # -rw-rw-r-- 1 0 Apr 29 14:53 bacEnds.long # -rw-rw-r-- 1 141836 Apr 29 14:53 bacEnds.pairs # -rw-rw-r-- 1 649907 Apr 29 14:53 bacEnds.orphan ############################################################################## # BacEnds track - both results loaded together (DONE - 2009-04-29 - Hiram) ssh hgwdev cd /hive/data/genomes/hg19/bed/bacends # filter and sort awk '$5 >= 300' run.blat/bacEnds.pairs run.randoms/bacEnds.pairs \ | sort -k1,1 -k2,2n > bacEndPairs.bed awk '$5 >= 300' run.blat/bacEnds.slop run.blat/bacEnds.short \ run.blat/bacEnds.long run.blat/bacEnds.mismatch \ run.blat/bacEnds.orphan run.randoms/bacEnds.slop \ run.randoms/bacEnds.short run.randoms/bacEnds.long \ run.randoms/bacEnds.mismatch run.randoms/bacEnds.orphan \ | sort -k1,1 -k2,2n > bacEndPairsBad.bed head -5 run.blat/bacEnds.psl > bacEnds.psl headRest 5 run.blat/bacEnds.psl > t.psl headRest 5 run.randoms/randomEnds.psl >> t.psl sort -k14,14 -k16,16n t.psl >> bacEnds.psl extractPslLoad -noBin bacEnds.psl bacEndPairs.bed \ bacEndPairsBad.bed | headRest 2 stdin | sort -k14,14 -k16,16n \ > bacEnds.load.psl # load them into the database ssh hgwdev cd /hive/data/genomes/hg19/bed/bacends # CHECK bacEndPairs.bed ID's to make sure they have no blanks in them awk '{print $4}' bacEndPairs.bed | grep " " awk '{print $5}' bacEndPairs.bed | sort | uniq -c # result should be the scores, no extraneous strings: # 156984 1000 # 195 300 # 316 375 # 297 500 # 1476 750 # edit the file and fix it if it has a bad name. hgLoadBed -notItemRgb hg19 bacEndPairs bacEndPairs.bed \ -sqlTable=$HOME/kent/src/hg/lib/bacEndPairs.sql # Loaded 208922 elements of size 11 # note - this track isn't pushed to RR, just used for assembly QA hgLoadBed -notItemRgb hg19 bacEndPairsBad bacEndPairsBad.bed \ -sqlTable=$HOME/kent/src/hg/lib/bacEndPairsBad.sql # Loaded 79004 elements of size 11 #hgLoadPsl hg18 -nobin -table=all_bacends bacEnds.load.psl # NOTE: truncates file to 0 if -nobin is used hgLoadPsl hg19 -table=all_bacends bacEnds.load.psl # one complaint, there appears to be a bogus insert count in one # of the blat results: # < 585 797 67 0 3 2 -63 9 79188 + AQ743980 852 42 846 chr19_gl000208_random 92689 4045 84100 11 14,124,84,496,53,6,20,28,28,10,4, 42,56,180,200,696,750,756,776,804,832,842, 4045,5767,7086,83449,83946,83999,84006,84027,84056,84085,84096, Became: # > 585 797 67 0 3 2 0 9 79188 + AQ743980 852 42 846 chr19_gl000208_random 92689 4045 84100 11 14,124,84,496,53,6,20,28,28,10,4, 42,56,180,200,696,750,756,776,804,832,842, 4045,5767,7086,83449,83946,83999,84006,84027,84056,84085,84096, hgsql -N -e "select count(*) from all_bacends;" hg19 # 2289275 hgsql -N -e "select count(*) from all_bacends;" hg18 # 1727387 hgsql -N -e "select count(*) from all_bacends;" hg17 # 1729146 nice featureBits hg19 all_bacends # 230917362 bases of 2897316137 (7.970%) in intersection nice featureBits hg18 all_bacends # 227770876 bases of 2881515245 (7.905%) in intersectio nice featureBits hg17 all_bacends # 225763317 bases of 2866216770 (7.877%) in intersection nice featureBits hg19 bacEndPairs # 236889607 bases of 2897316137 (8.176%) in intersection nice featureBits hg18 bacEndPairs # 162690030 bases of 2881515245 (5.646%) in intersection nice featureBits hg17 bacEndPairs # 162099487 bases of 2866216770 (5.656%) in intersection nice featureBits hg19 bacEndPairsBad # 38344094 bases of 2897316137 (1.323%) in intersection nice featureBits hg18 bacEndPairsBad # 37326990 bases of 2881515245 (1.295%) in intersection nice featureBits hg17 bacEndPairsBad # 37437558 bases of 2866216770 (1.306%) in intersection ############################################################################ # STS MARKERS (DONE - 2009-04-30 - 2009-05-06 - Hiram) mkdir /hive/data/outside/ncbi/sts.2009-04 cd /hive/data/outside/ncbi ln -s sts.2009-04 sts.11 cd /hive/data/outside/ncbi/sts.2009-04 wget --timestamping ftp://ftp.ncbi.nih.gov/repository/UniSTS/UniSTS.sts wget --timestamping ftp://ftp.ncbi.nih.gov/repository/UniSTS/UniSTS.aliases wget --timestamping ftp://ftp.ncbi.nih.gov/blast/db/FASTA/sts.gz gunzip sts.gz mv sts dbSTS.fa # these items are copied in from the previous builds cp -p /cluster/data/ncbi/sts.10/all.STS.fa ./all.STS.fa.prev cp -p /cluster/data/ncbi/sts.10/stsInfo2.bed ./stsInfo2.bed.prev # edit stsInfo2.bed.prev for a # manual fixup of error that is in the hg18 bed file, replace # the line for AFM067XA9 to fix bogus long list of aliases to be: # 22788^IAFM067XA9^I1^IZ66598^I1^IGDB:1221611,^I5^I067XA9,GDB:1221611,W202,Z66598,SWSS2303^I69047^I0^I^ITCTTGGGGTTTAATTGCTTT^ICTTTGCCACAATCTTACACA^I149^IHomo sapiens^I1^I2^I6453,6454,^I0^I^I^I^I0^I0^I^I^I0^I0^IAFM067XA9^Ichr7^I145^I0^I^I^I0^I0^I^I^I0^I0^I^I^I0^I0^I^I^I0^I0^I^I^I0^I0 # as taken directly out of the hg18.stsInfo2 table which was fixed # by Bob and Archana # Convert the title line of the dbSTS.fa file # Verify that column 3 only contains gb emb dbj grep "^>" dbSTS.fa | awk -F'|' '{print $3}' | sort | uniq -c # 39124 dbj # 57375 emb # 1212541 gb # if that is true, this sed will work: cat dbSTS.fa \ | sed -e "s#^>gi.[0-9]*.gb.#>#; s#^>gi.[0-9]*.emb.#>#; s#^>gi.[0-9]*.dbj.#>#; s#\.[0-9]|.*##" \ > UniSTS.convert.fa # get accessions grep ">" UniSTS.convert.fa | sed -e "s/^>//" | sort > UniSTS.acc # head and tail that to ensure names are reasonable, odd names would # show up at the beginning or end wc -l UniSTS.acc # 1309040 UniSTS.acc # NOTE: updateStsInfo creates new stsInfo2.bed, all.primers, # all.STS.fa, stsAlias.bed files updateStsInfo -verbose=1 -gb=UniSTS.acc stsInfo2.bed.prev all.STS.fa.prev \ UniSTS.sts UniSTS.aliases UniSTS.convert.fa new # verify the number of aliases is reasonable: awk '{print $3}' new.alias | sort | uniq -c | sort -rn | less # 50 D7S831 # 34 CHLC.GATA2B06.465 # 24 CHLC.GATA11E11 # 23 AFM276ZF5 # 23 AFM273YH9 # 22 SHGC-133043 # ... etc ... # verify there are no unusually long or short lines: awk '{printf "%d\n", length($0)}' new.info | sort -n | head -3 # 143 # 144 # 144 awk '{printf "%d\n", length($0)}' new.info | sort -n | tail -3 # 552 # 553 # 644 # check for null in the new files: grep -i null new.* # if the new files look good, they can become the set to use: mv new.info stsInfo2.bed mv new.primers all.primers mv new.alias stsAlias.bed mv new.fa all.STS.fa # get list of all STS id's in the fasta file sed -n 's/^>\([0-9][0-9]*\) .*/\1/p' all.STS.fa | sort -n > all.STS.id wc -l all.STS.id # 100520 total sequences # in hg18 this was: 93698 total sequences $HOME/kent/src/hg/stsMarkers/convertPrimerToFA all.primers > all.primers.fa # check that fasta file for unusual length sequences: faSize all.primers.fa # 97815329 bases (83677626 N's 14137703 real 14137703 upper 0 lower) in 317592 sequences in 1 files # Total size: mean 308.0 sd 279.3 min 40 (dbSTS_144) max 30000 (dbSTS_156892) median 244 # Copy stsInfo2.bed and stsAlias.bed to data directory becuase # these will be loaded into the database later mkdir -p /hive/data/genomes/hg19/bed/sts cp -p stsInfo2.bed /hive/data/genomes/hg19/bed/sts/ cp -p stsAlias.bed /hive/data/genomes/hg19/bed/sts/ # Create sts sequence alignments mkdir /hive/data/genomes/hg19/bed/sts/split faSplit sequence all.STS.fa 100 /hive/data/genomes/hg19/bed/sts/split/sts ssh swarm mkdir /hive/data/genomes/hg19/bed/sts/run cd /hive/data/genomes/hg19/bed/sts/run # going to run separate runs for the golden path sequence vs. the # randoms, haplotypes, chrUn and chrM # 40,000,000 chunck sizes, 20,000 overlap partitionSequence.pl 40000000 20000 /scratch/data/hg19/hg19.2bit \ /scratch/data/hg19/chrom.sizes 100 -lstDir tParts \ | egrep -v "tParts|random|_hap|chrUn" \ | sed -e "s/.*2bit://;" > hg19.list ls -1S ../split > sts.list cat > template << '_EOF_' #LOOP runOne.csh $(file1) $(root2) {check out line+ psl/$(file1)/$(root2).psl} #ENDLOOP '_EOF_' # << happy emacs cat > runOne.csh << '_EOF_' #!/bin/csh -fe set partSpec = $1 set query = $2.fa set result = $3 set tmpFile = "/scratch/tmp/$1.$2" set start = `echo $partSpec | sed -e "s/.*://; s/-/ /" | awk '{print $1}'` set end = `echo $partSpec | sed -e "s/.*://; s/-/ /" | awk '{print $2}'` set range = `echo $start $end | awk '{print $2-$1}'` set chr = `echo $partSpec | sed -e "s/:.*//"` set chrSize = `grep -P "^$chr\t" /scratch/data/hg19/chrom.sizes | cut -f2` /bin/echo -e "$start\t$partSpec\t$range\t$chr\t$chrSize" > $tmpFile.lift /bin/mkdir -p psl/$partSpec /bin/rm -f $tmpFile /cluster/bin/x86_64/blat -ooc=/scratch/data/hg19/11.ooc \ /scratch/data/hg19/hg19.2bit:$partSpec \ ../split/${query} -stepSize=5 $tmpFile.psl /bin/rm -f $result /cluster/bin/x86_64/liftUp -type=.psl $result $tmpFile.lift error $tmpFile.psl # rm -f $tmpFile.lift $tmpFile.psl '_EOF_' # << happy emacs chmod +x runOne.csh gensub2 hg19.list sts.list template jobList # these jobs run quickly, allow only 100 at a time para -maxJob=100 create jobList # 8367 jobs in batch para try ... check ... push ... etc # Completed: 8366 of 8366 jobs # CPU time in finished jobs: 89744s 1495.74m 24.93h 1.04d 0.003 y # IO & Wait Time: 25467s 424.44m 7.07h 0.29d 0.001 y # Average job time: 14s 0.23m 0.00h 0.00d # Longest finished job: 53s 0.88m 0.01h 0.00d # Submission to last job: 1592s 26.53m 0.44h 0.02d # and, run the randoms as a separate run: mkdir /hive/data/genomes/hg19/bed/sts/run.randoms cd /hive/data/genomes/hg19/bed/sts/run.randoms partitionSequence.pl 40000000 20000 /scratch/data/hg19/hg19.2bit \ /scratch/data/hg19/chrom.sizes 100 -lstDir tParts \ | egrep "tParts|random|_hap|chrUn" cat tParts/* | sed -e "s/.*2bit://;" > hg19.list ls -1S ../split > sts.list cat > template << '_EOF_' #LOOP runOne.csh $(file1) $(root2) {check out line+ psl/$(file1)/$(root2).psl} #ENDLOOP '_EOF_' # << happy emacs cat > runOne.csh << '_EOF_' #!/bin/csh -fe set partSpec = $1 set query = $2.fa set result = $3 set tmpFile = "/scratch/tmp/$1.$2" /bin/mkdir -p psl/$partSpec /bin/rm -f $tmpFile /cluster/bin/x86_64/blat -ooc=/scratch/data/hg19/11.ooc \ /scratch/data/hg19/hg19.2bit:$partSpec \ ../split/${query} -stepSize=5 $tmpFile.psl /bin/rm -f $result mv $tmpFile.psl $result /bin/rm -f $tmpFile.psl '_EOF_' # << happy emacs chmod +x runOne.csh gensub2 hg19.list sts.list template jobList # these jobs run quickly, allow only 100 at a time para -maxJob=100 create jobList # 6486 jobs in batch para try ... check ... push ... etc # Completed: 6486 of 6486 jobs # CPU time in finished jobs: 2206s 36.77m 0.61h 0.03d 0.000 y # IO & Wait Time: 16505s 275.08m 4.58h 0.19d 0.001 y # Average job time: 3s 0.05m 0.00h 0.00d # Longest finished job: 21s 0.35m 0.01h 0.00d # Submission to last job: 601s 10.02m 0.17h 0.01d # Compile sts sequence results ssh hgwdev cd /hive/data/genomes/hg19/bed/sts/run time pslSort dirs raw.psl temp psl/chr* # 8366 files in 89 dirs # Got 8366 files 91 files per mid file # real 8m50.714s # -rw-rw-r-- 1 810438277 May 1 11:45 raw.psl cd /hive/data/genomes/hg19/bed/sts/run.randoms time pslSort dirs raw.psl temp psl/chr* # 6486 files in 69 dirs # Got 6486 files 81 files per mid file # real 1m42.120s # -rw-rw-r-- 1 18378188 May 1 11:52 raw.psl rmdir temp cd /hive/data/genomes/hg19/bed/sts cat run*/raw.psl | egrep -v "^$|^psLayout|^match|^ |^-" \ | pslReps -nearTop=0.0001 -minCover=0.6 -minAli=0.8 -noIntrons stdin \ stsMarkers.psl /dev/null # Processed 7412166 alignments # -rw-rw-r-- 1 12031760 May 1 11:57 stsMarkers.psl $HOME/kent/src/hg/stsMarkers/extractPslInfo -h stsMarkers.psl # creates stsMarkers.psl.initial # -rw-rw-r-- 1 4485053 May 1 12:06 stsMarkers.psl.initial wc -l stsMarkers.psl.initial # 101338 stsMarkers.psl.initial # this command needs a chrom_names file to work correctly with this # new style of layout for hg19: cd /hive/data/genomes/hg19 cut -f1 chrom.sizes | sed -e "s/chr//" > chrom_names cd /hive/data/genomes/hg19/bed/sts $HOME/kent/src/hg/stsMarkers/findAccession.pl -agp stsMarkers.psl.initial \ /cluster/data/hg19 wc -l stsMarkers.psl.initial.acc # 101338 stsMarkers.psl.initial.acc sort -k4,4n stsMarkers.psl.initial.acc > stsMarkers.final # determine found markers (4th field in file) cut -f 4 stsMarkers.final | sort -n -u > stsMarkers.found wc -l stsMarkers.found # 96472 stsMarkers.found # out of 100520 total sequences from: wc -l /hive/data/outside/ncbi/sts.2009-04/all.STS.id # There are lots of duplicates: wc -l stsMarkers.final # 101338 stsMarkers.final # And a lot of them are just completely haywire: awk '$3-$2 < 1001' stsMarkers.final | wc -l # 98382 # filter out markers that are too long awk '$3-$2 < 1001' stsMarkers.final > stsMarkers.1K.size.filtered # alignment of primers ssh swarm cd /hive/data/outside/ncbi/sts.2009-04 awk '$0 !~ /[^ACGT0-9\-\t]/ && (length($2) > 10) && (length($3) > 10) {printf "dbSTS_%s\t%s\t%s\n", $1,$2,$3}' \ all.primers > all.primers.ispcr mkdir primerAlign cd primerAlign mkdir split cd split split -l 5000 ../../all.primers.ispcr primer_ ls > ../primer.list cd .. # we need a 10.ooc file for this business time blat /scratch/data/hg19/hg19.2bit \ /dev/null /dev/null -tileSize=10 -makeOoc=10.ooc -repMatch=1024 # Wrote 146902 overused 10-mers to 10.ooc # real 19m16.758s # separate runs for whole genome vs. randoms mkdir run cd run partitionSequence.pl 40000000 20000 /scratch/data/hg19/hg19.2bit \ /scratch/data/hg19/chrom.sizes 100 -lstDir tParts \ | egrep -v "tParts|random|_hap|chrUn" \ | sed -e "s/.*2bit://;" > hg19.list cat > runOne.csh << '_EOF_' #!/bin/csh -fe set partSpec = $1 set primer = ../split/$2 set result = $3 set tmpFile = "/scratch/tmp/$1.$2" set start = `echo $partSpec | sed -e "s/.*://; s/-/ /" | awk '{print $1}'` set end = `echo $partSpec | sed -e "s/.*://; s/-/ /" | awk '{print $2}'` set range = `echo $start $end | awk '{print $2-$1}'` set chr = `echo $partSpec | sed -e "s/:.*//"` set chrSize = `grep -P "^$chr\t" /scratch/data/hg19/chrom.sizes | cut -f2` /bin/echo -e "$start\t$partSpec\t$range\t$chr\t$chrSize" > $tmpFile.lift /bin/mkdir -p psl/$partSpec /bin/rm -f $tmpFile.psl /cluster/bin/x86_64/isPcr -out=psl -minPerfect=2 -maxSize=5000 -tileSize=10 \ -ooc=/hive/data/outside/ncbi/sts.2009-04/primerAlign/10.ooc -stepSize=5 \ /scratch/data/hg19/hg19.2bit:$partSpec $primer $tmpFile.psl /bin/rm -f $result /cluster/bin/x86_64/liftUp -type=.psl $result $tmpFile.lift error $tmpFile.psl rm -f $tmpFile.lift $tmpFile.psl '_EOF_' # << happy emacs chmod +x runOne.csh cat > template << '_EOF_' #LOOP runOne.csh $(file1) $(root2) {check out line+ psl/$(file1)/$(root2).psl} #ENDLOOP '_EOF_' # << happy emacs gensub2 hg19.list ../primer.list template jobList para create jobList # 5696 jobs in batch para try ... check ... push ... etc # Completed: 5696 of 5696 jobs # CPU time in finished jobs: 203899s 3398.32m 56.64h 2.36d 0.006 y # IO & Wait Time: 22049s 367.48m 6.12h 0.26d 0.001 y # Average job time: 40s 0.66m 0.01h 0.00d # Longest finished job: 5314s 88.57m 1.48h 0.06d # Submission to last job: 5418s 90.30m 1.50h 0.06d # Estimated complete: 0s 0.00m 0.00h 0.00d # sort and filter the results cd psl pslSort dirs raw.psl temp chr* # 5696 files in 89 dirs # Got 5696 files 75 files per mid file # -rw-rw-r-- 1 456802973 May 4 13:32 raw.psl cd .. mkdir filter pslQuickFilter -minMatch=26 -maxMismatch=5 \ -maxTinsert=5000 -verbose psl/ filter/ # -rw-rw-r-- 1 50302564 May 4 13:35 raw.psl # And, for the randoms mkdir /hive/data/outside/ncbi/sts.2009-04/primerAlign/runRandoms cd /hive/data/outside/ncbi/sts.2009-04/primerAlign/runRandoms partitionSequence.pl 40000000 20000 /scratch/data/hg19/hg19.2bit \ /scratch/data/hg19/chrom.sizes 100 -lstDir tParts \ | egrep "tParts|random|_hap|chrUn" \ | sed -e "s/.*2bit://;" > hg19.list cat tParts/* | sed -e "s/.*2bit://;" > hg19.list cat tParts/* > hg19.list cat > runOne.csh << '_EOF_' #!/bin/csh -fe set partSpec = $1 set primer = ../split/$2 set result = $3 set tmpFile = "/scratch/tmp/$1.$2" /bin/mkdir -p psl/$partSpec /bin/rm -f $tmpFile.psl /cluster/bin/x86_64/isPcr -out=psl -minPerfect=2 -maxSize=5000 -tileSize=10 \ -ooc=/hive/data/outside/ncbi/sts.2009-04/primerAlign/10.ooc -stepSize=5 \ /scratch/data/hg19/hg19.2bit:$partSpec $primer $tmpFile.psl /bin/rm -f $result mv $tmpFile.psl $result '_EOF_' # << happy emacs chmod +x runOne.csh # can not use line+ check here, many of them are empty cat > template << '_EOF_' #LOOP runOne.csh $(file1) $(root2) {check out line psl/$(file1)/$(root2).psl} #ENDLOOP '_EOF_' # << happy emacs gensub2 hg19.list ../primer.list template jobList # they run quickly, limit to 100 para -maxJob=100 create jobList para try ... check ... push ... etc # Completed: 4416 of 4416 jobs # CPU time in finished jobs: 1746s 29.09m 0.48h 0.02d 0.000 y # IO & Wait Time: 11407s 190.12m 3.17h 0.13d 0.000 y # Average job time: 3s 0.05m 0.00h 0.00d # Longest finished job: 8s 0.13m 0.00h 0.00d # Submission to last job: 147s 2.45m 0.04h 0.00d # sort and filter the results cd psl pslSort dirs raw.psl temp chr* # 4416 files in 69 dirs # Got 4416 files 66 files per mid file rmdir temp # -rw-rw-r-- 1 9066053 May 4 13:31 raw.psl # putting the two runs together mkdir /hive/data/outside/ncbi/sts.2009-04/primerAlign/psl cd /hive/data/outside/ncbi/sts.2009-04/primerAlign/psl ln -s ../run/filter/raw.psl run.psl ln -s ../runRandoms/filter/raw.psl runRandoms.psl # -rw-rw-r-- 1 50302564 May 4 13:35 run.psl # -rw-rw-r-- 1 825973 May 4 13:35 runRandoms.psl cd .. pslSort dirs primers.psl temp psl # 2 files in 1 dirs # Got 2 files 1 files per mid file # -rw-rw-r-- 1 51128110 May 4 13:39 primers.psl wc -l primers.psl # 448107 primers.psl rmdir temp pslFilterPrimers primers.psl ../all.primers primers.filter.psl # creates primers.filter.unlifted.psl.notfound.primers wc -l primers* # 237962 primers.filter.psl # 97191 primers.filter.psl.notfound.primers # see if ePCR can find some of these notfound ssh swarm mkdir /hive/data/outside/ncbi/sts.2009-04/primerAlign/epcr cd /hive/data/outside/ncbi/sts.2009-04/primerAlign/epcr mkdir split cd split split -l 5000 ../../primers.filter.psl.notfound.primers primers_ cd .. ls -1S split > primers.lst partitionSequence.pl 40000000 20000 /scratch/data/hg19/hg19.2bit \ /scratch/data/hg19/chrom.sizes 100 -lstDir tParts \ | grep -v tParts | sed -e "s/.*2bit://;" > hg19.list cat tParts/* | sed -e "s/.*2bit://;" >> hg19.list cat > runOne.csh << '_EOF_' #!/bin/csh -fe set partSpec = $1 set primer = split/$2 set result = $3 set tmpFile = "/scratch/tmp/$1.$2" set start = `echo $partSpec | sed -e "s/.*://; s/-/ /" | awk '{print $1}'` set end = `echo $partSpec | sed -e "s/.*://; s/-/ /" | awk '{print $2}'` set range = `echo $start $end | awk '{print $2-$1}'` set chr = `echo $partSpec | sed -e "s/:.*//"` set chrSize = `grep -P "^$chr\t" /scratch/data/hg19/chrom.sizes | cut -f2` /bin/echo -e "$start\t$partSpec\t$range\t$chr\t$chrSize" > $tmpFile.lift /bin/mkdir -p epcr/$partSpec /bin/rm -f $tmpFile.psl twoBitToFa /scratch/data/hg19/hg19.2bit:$partSpec $tmpFile.fa /cluster/bin/scripts/runEpcr64 $primer $tmpFile.fa $tmpFile.epcr /bin/rm -f $result /bin/mv $tmpFile.epcr $result rm -f $tmpFile.fa $tmpFile.lift $tmpFile.psl $tmpFile.* '_EOF_' # << happy emacs chmod +x runOne.csh cat > template << '_EOF_' #LOOP runOne.csh $(file1) $(root2) {check out line epcr/$(file1)/$(root2).epcr} #ENDLOOP '_EOF_' # << happy emacs gensub2 hg19.list primers.lst template jobList para create jobList # 3160 jobs para try ... check ... push ... etc ... # Completed: 3160 of 3160 jobs # CPU time in finished jobs: 86253s 1437.54m 23.96h 1.00d 0.003 y # IO & Wait Time: 11196s 186.61m 3.11h 0.13d 0.000 y # Average job time: 31s 0.51m 0.01h 0.00d # Longest finished job: 89s 1.48m 0.02h 0.00d # Submission to last job: 237s 3.95m 0.07h 0.00d find ./epcr -type f | xargs cat > all.epcr wc -l all.epcr # 797286 all.epcr # convert the coordinates from the partitionSequence.pl to a lift file awk '{print $1}' all.epcr | sort -u > hg19.partSpec.txt $HOME/kent/src/hg/stsMarkers/liftFromSpec.pl hg19 hg19.partSpec.txt \ > all.epcr.lift cat all.epcr | sed -e "s/\.\./ /; s/ */\t/g" \ | liftUp -type=.bed stdout all.epcr.lift error stdin \ | awk ' { printf "%s %d..%d %d %d\n", $1, $2, $3, $4, $5 } ' > all.epcr.lifted pslFilterPrimers -epcr=all.epcr.lifted -verbose=1 ../primers.psl \ /cluster/home/hiram/bin/x86_64/pslFilterPrimers -epcr=all.epcr.lifted \ -verbose=1 ../primers.psl ../../all.primers epcr.primers.psl # this took a long time, many hours # -rw-rw-r-- 1 2785254 May 5 17:28 epcr.not.found # -rw-rw-r-- 1 27343510 May 5 17:28 epcr.primers.psl # -rw-rw-r-- 1 1616885 May 5 17:28 epcr.primers.psl.notfound.primers time ./epcrToHgPsl.pl epcr.not.found ../../all.primers \ time $HOME/kent/src/hg/stsMarkers/epcrToPsl epcr.not.found \ ../../all.primers /hive/data/genomes/hg19 # real 69m38.444s # -rw-rw-r-- 1 0 May 6 14:18 epcr.not.found.nomatch # -rw-rw-r-- 1 8369138 May 6 15:26 epcr.not.found.psl # combining everything together now cd /hive/data/outside/ncbi/sts.2009-04/primerAlign sort -u primers.filter.psl epcr/epcr.primers.psl epcr/epcr.not.found.psl \ | sort -k15,15 -k17,17n > primers.final.psl wc -l primers.final.psl # 310705 primers.final.psl time $HOME/kent/src/hg/stsMarkers/fixPrimersQueryGaps.pl \ ../all.primers primers.final.psl > primers.final.fix.psl # real 0m19.580s wc -l primers.final.fix.psl # 310705 primers.final.fix.psl # Extract relevant info, make alignments unique, and create final file to # be merged with full sequence alignments $HOME/kent/src/hg/stsMarkers/extractPslInfo -h primers.final.fix.psl # real 0m15.303s # -rw-rw-r-- 1 15660447 May 6 15:44 primers.final.fix.psl.initial wc -l primers.final.fix.psl.initial # 308210 primers.final.fix.psl.initial $HOME/kent/src/hg/stsMarkers/findAccession.pl -agp \ primers.final.fix.psl.initial /hive/data/genomes/hg19 wc -l primers.final.fix.psl.initial.acc # 308210 primers.final.fix.psl.initial.acc $HOME/kent/src/hg/stsMarkers/getStsId ../stsInfo2.bed \ primers.final.fix.psl.initial.acc | sort -k 4n > primers.final wc -l primers.final # 308210 primers.final # There doesn't appear to be any use for this primers.ids list # except for curiosity. Check the head and tail of this list to # verify no garbage is in here. There should just be numbers. awk '{print $4}' primers.final | sort -n | uniq > primers.ids wc -l primers.ids # 290961 primers.ids # Merge primer and sequence files to create final bed file # Merge (combineSeqPrimerPos) takes about an hour to run cd /hive/data/genomes/hg19/bed/sts time $HOME/kent/src/hg/stsMarkers/combineSeqPrimerPos stsMarkers.final \ /hive/data/outside/ncbi/sts.2009-04/primerAlign/primers.final # real 0m12.310s # -rw-rw-r-- 1 15222346 May 6 15:55 stsMarkers_pos.rdb wc -l stsMarkers_pos.rdb # 315308 stsMarkers_pos.rdb time /cluster/bin/scripts/createSTSbed \ /hive/data/outside/ncbi/sts.2009-04/stsInfo2.bed \ stsMarkers_pos.rdb > stsMap.bed # real 0m31.886s # -rw-rw-r-- 1 38244880 May 6 16:25 stsMap.bed wc -l stsMap.bed # 305914 stsMap.bed # Set up sequence files ssh hgwdev mkdir /gbdb/hg19/sts.11/ ln -s /hive/data/outside/ncbi/sts.11/all.STS.fa \ /gbdb/hg19/sts.11/all.STS.fa ln -s /hive/data/outside/ncbi/sts.11/all.primers.fa \ /gbdb/hg19/sts.11/all.primers.fa # Load all files cd /hive/data/genomes/hg19/bed/sts hgLoadSeq hg19 /gbdb/hg19/sts.11/all.STS.fa /gbdb/hg19/sts.11/all.primers.fa # Creating seq.tab file # Adding /gbdb/hg19/sts.11/all.STS.fa # 100520 sequences # Adding /gbdb/hg19/sts.11/all.primers.fa # 317592 sequences # Updating seq table # Advisory lock has been released # All done hgsql hg19 < $HOME/kent/src/hg/lib/stsInfo2.sql hgsql hg19 < $HOME/kent/src/hg/lib/stsAlias.sql # these files already exist here from previous operations # cp -p /hive/data/outside/ncbi/sts.11/{stsInfo2.bed,stsAlias.bed} . hgsql hg19 -e 'load data local infile "stsInfo2.bed" into table stsInfo2' hgsql hg19 -e 'load data local infile "stsAlias.bed" into table stsAlias' # a couple minutes for each load above # filter the stsMap.bed to eliminate items longer than 5,000 bases, # takes out about 850: awk '$3-$2 < 5001' stsMap.bed | sort -k1,1 -k2,2n \ > stsMap.filtered.5000.bed hgLoadBed -notItemRgb -noBin -tab \ -sqlTable=$HOME/kent/src/hg/lib/stsMap.sql hg19 stsMap \ stsMap.filtered.5000.bed # Loaded 305064 elements of size 28 ln -s \ /hive/data/outside/ncbi/sts.2009-04/primerAlign/primers.final.fix.psl \ primers.psl hgLoadPsl -nobin -table=all_sts_primer hg19 primers.psl hgLoadPsl -nobin -table=all_sts_seq hg19 stsMarkers.psl ############################################################################## # FISH CLONES (WORKING - 2009-04-29 - Hiram) # The STS Marker and BAC End Pairs tracks must be completed prior to # creating this track. mkdir /hive/data/outside/ncbi/fishClones/fishClones.2009-04/ cd /hive/data/outside/ncbi/fishClones/fishClones.2009-04/ # Download information from NCBI # point browser at: # http://www.ncbi.nlm.nih.gov/genome/cyto/cytobac.cgi?CHR=all&VERBOSE=ctg # change "Sequence tag:" to "placed on contig" # change "Show details on sequence-tag" to "yes" # change "Download or Display" to "Download table for UNIX" # press Submit - save as # /hive/data/outside/ncbi/fishClones/fishClones.2009-04/hbrc.txt chmod 664 /hive/data/outside/ncbi/fishClones/fishClones.2009-04/hbrc.txt # Unfortunately the format of this hbrc file has changed since # last time. The columns have been rearranged, and one important # column is missing, the contig information. So, let's see if we # can recover the original format by putting this together with # some other things we have here. $HOME/kent/src/hg/fishClones/fixup.hbrc.pl hbrc.txt \ /hive/data/genomes/hg19/bed/fishClones/seq_clone.pmd > fixed.hbrc.txt \ 2> dbg XXX - need to get this seq_clone.pmd from NCBI, maybe Paul Kitts # the seq_clone.pmd file was obtained via email from Wonhee Jang # jang at ncbi.nlm.nih.gov - I have asked for clarification where # such a file can be fetched without resorting to email. # Get current clone/accession information wget --timestamping ftp://ftp.ncbi.nih.gov/repository/clone/reports/clac.out http://www.ncbi.nlm.nih.gov/genome/clone/DATA/clac.out # Create initial Fish Clones bed file ssh kkstore02 mkdir /hive/data/genomes/hg19/bed/fishClones cd /hive/data/genomes/hg19/bed/fishClones # Copy previous sts info from fhcrc cp -p /hive/data/genomes/hg18/bed/fishClones/fhcrc.sts . # This fhcrc.sts listing doesn't change. It is merely a listing # of aliases that remain in effect. # Create cl_acc_gi_len file form cloneend information: grep -v "^#" /hive/data/genomes/hg19/bed/cloneend/all.txt \ | awk '{gsub(".[0-9]*$", "", $2); printf "%s\t%s\t%s\t%s\t%s\t%s\n", $1,$2,$3,$4,$5,$8}' > cl_acc_gi_len hgsql -N \ -e "select chrom,chromStart,chromEnd,contig from ctgPos;" hg19 \ | sort -k1,1 -k2,2n > ctgPos.bed hgsql -N \ -e "select chrom,chromStart,chromEnd,frag,0,strand from gold;" hg19 \ | sort -k1,1 -k2,2n > gold.bed hgsql -N \ -e "select tName,tStart,tEnd,qName,0,strand from all_bacends;" hg19 \ | sort -k1,1 -k2,2n > all_bacends.bed hgsql -N \ -e "select chrom,chromStart,chromEnd,name,score,strand from bacEndPairs;" hg19 \ | sort -k1,1 -k2,2n > bacEndPairs.bed ssh hgwdev # have to be on hgwdev for this since it is going to read from the # database. Had to work on this program to get it past what is # evidently a bad entry in hbrc.fixed where columns of information # are missing for one clone in particular time fishClones -verbose=2 -fhcrc=fhcrc.sts -noBin hg19 \ /hive/data/genomes/hg19/bed/ncbiCytoBand/contig/fixed.hbrc.txt \ /hive/data/outside/ncbi/fishClones/fishClones.2009-04/clac.out \ ./cl_acc_gi_len \ /hive/data/genomes/hg19/bed/bacends/bacEnds.load.psl \ fishClones # real 2m4.708s # Reading Fish Clones file /hive/data/genomes/ncbi/fishClones/fishClones.2006-01/hbrc.fixed # reading fishInfo file /hive/data/genomes/ncbi/fishClones/fishClones.2006-01/fixed.hbrc.txt # Reading Clone/Acc (clac.out) file /hive/data/genomes/ncbi/fishClones/fishClones.2006-01/clac.out # Reading BAC Ends file ./cl_acc_gi_len # Reading BAC Ends psl file /hive/data/genomes/hg19/bed/bacends/bacEnds.lifted.psl # Reading additional STS Marker links fhcrc.sts # Determining good positions # findClonePos: determining positions of fish clones # Writing output file # ERROR: at line # 170, no cytoband info for chrX:104048913-104206974 # RP11-79L11 # ERROR: at line # 171, no cytoband info for chrX:104048913-104206974 # RP11-79L11 # Load the track ssh hgwdev cd /hive/data/genomes/hg19/bed/fishClones hgLoadBed -notItemRgb -noBin -tab \ -sqlTable=$HOME/kent/src/hg/lib/fishClones.sql \ hg19 fishClones fishClones.bed # Loaded 9461 elements of size 16 ############################################################################## # CytoBands from Wonhee Jang at NCBI (DONE - 2009-06-10 - Hiram) mkdir /hive/data/genomes/hg19/bed/ncbiCytoBand cd /hive/data/genomes/hg19/bed/ncbiCytoBand # received the following files via email: ls -ogrt # -rw-rw-r-- 1 187930 Jun 10 13:53 ideogram # -rw-rw-r-- 1 672327 Jun 8 09:55 fish.markers.bed # created cytobands.bed from the ideogram file with: cat << '_EOF_' > ideoToCytoBand.pl #!/usr/bin/env perl use strict; use warnings; open (FH,"<ideogram") or die "can not read ideogram"; while (my $line = <FH>) { next if $line =~ m/^#/; chomp $line; my ($chr, $arm, $location, $a, $b, $start, $end, $stain) = split('\s+',$line); next if ($location =~ m/[a-z]$/); //g;$stain =~ s/ $start -= 1 if ($start == 1); printf "chr%s\t%d\t%d\t%s%s\t%s\n", $chr, $start, $end, $arm, $location, $stain; } close (FH); '_EOF_' # << happy emacs chmod +x ideoToCytoBand.pl ./ideoToCytoBand.pl > cytobands.bed hgLoadBed -noBin -tab -sqlTable=${HOME}/src/hg/lib/cytoBand.sql \ hg19 cytoBand cytobands.bed hgLoadBed -noBin -tab -sqlTable=${HOME}/src/hg/lib/cytoBandIdeo.sql \ hg19 cytoBandIdeo cytobands.bed # checking coverage: featureBits -noRandom -noHap -countGaps hg19 cytoBand # 3095677412 bases of 3095693983 (99.999%) in intersection # that is everything except chrM: echo 3095693983-3095677412 | bc -q # 16571 ########################################################################## # CYTOBANDIDEO update - (DONE - 2013-02-27 - kuhn) # adding rows for chroms with no cytology # this is just for navigation/orientation on those chroms set db=hg19 set sql=~/kent/src/hg/lib/cytoBandIdeo.sql # make backup of existing table hgsql -e "CREATE TABLE cytoBandIdeoCopy SELECT * FROM cytoBandIdeo" $db # dump existing table hgsql -N -e "SELECT * FROM cytoBandIdeo" $db > $db.cytoBandIdeo # find chroms already covered hgsql -N -e 'SELECT chrom FROM cytoBandIdeo' $db \ | sort -u > $db.coveredNames # make cytoBand records for chroms not already covered hgsql -N -e 'SELECT chrom, size FROM chromInfo' $db \ | grep -wvf $db.coveredNames \ | awk '{print $1"\t0\t"$2"\t\tgneg"}' > $db.cytoBandNew # check wc -l $db.* # combine and sort cat $db.cytoBandNew $db.cytoBandIdeo > $db.cytoBandIdeoFull bedSort $db.cytoBandIdeoFull $db.cytoBandIdeoFull # replace exsting table hgsql -e "DROP TABLE cytoBandIdeo" $db hgLoadSqlTab $db cytoBandIdeo $sql $db.cytoBandIdeoFull # check and then drop copy ############################################################################## # UCSC to Ensembl chr name mapping (DONE - 2009-05-08 - Hiram) # new names as of Ensembl version 57, see below mkdir /hive/data/genomes/hg19/ensembl cd /hive/data/genomes/hg19/ensembl wget --timestamping \ 'ftp://ftp.ensembl.org/pub/pre/homo_sapiens/GRCh37/dna/*' # do not need the repeat masker sequence (although it would be # interesting to measure to see how it compares) rm -f *.dna_rm.* # fortunately we have the same sizes as Ensembl for everything # (except the haplotypes) and the sizes are unique for each sequence # so we can relate the names via their sizes mkdir /hive/data/genomes/hg19/bed/ucscToEnsembl cd /hive/data/genomes/hg19/bed/ucscToEnsembl # the toplevel file is a duplicate of everything else ls /hive/data/genomes/hg19/ensembl/*.fa.gz | grep -v toplevel \ | while read F do zcat "${F}" done | faCount stdin > faCount.txt cat << '_EOF_' > relateUcscEnsembl.pl #!/usr/bin/env perl use strict; use warnings; my %ucscChrs; # key is size, value is UCSC chr name open (FH,"<../../chrom.sizes") or die "can not read ../../chrom.sizes"; while (my $line = <FH>) { chomp $line; my ($chr, $size) = split('\s+', $line); die "'$line\n'duplicate size in ../chrom.sizes" if (exists($ucscChrs{$size}) ); $ucscChrs{$size} = $chr; } close (FH); my %ensemblChrs; # key is size, value is Ensembl chr name open (FH,"<faCount.txt") or die "can not read faCount.txt"; while (my $line = <FH>) { next if ($line =~ m/#/); next if ($line =~ m/total/); chomp $line; my ($chr, $size, $rest) = split('\s+', $line, 3); die "'$line\n'duplicate size in faCount.txt" if (exists($ensemblChrs{$size}) ); $ensemblChrs{$size} = $chr; } close (FH); my %usedUcscChrs; my %usedEnsemblChrs; my %ensemblTranslate; # key is Ensembl name, value is UCSC size foreach my $size (keys %ucscChrs) { if (exists($ensemblChrs{$size})) { $usedUcscChrs{$size} = $ucscChrs{$size}; $usedEnsemblChrs{$size} = $ensemblChrs{$size}; printf "%s\t%s\t%d\n", $ucscChrs{$size}, $ensemblChrs{$size}, $size; } else { my $ucscName = $ucscChrs{$size}; my $ensemblName = "unens"; if ($ucscName =~ m/^chr6/) { $ucscName =~ s/_hap.//; $ucscName =~ s/chr6_/chr6_mhc_/; $ensemblName = "HS" . uc($ucscName); } elsif ($ucscName =~ m/^chr17_/ || $ucscName =~ m/^chr4_/) { $ucscName =~ s/_.*/_1/; $ensemblName = "HS" . uc($ucscName); } elsif ($ucscName =~ m/^chrM/) { print "# no translation for chrM\n"; } else { die "unens UCSC chr name: $ucscName"; } printf "# ucsc $ucscChrs{$size} -> $ensemblName\n"; $ensemblTranslate{$ensemblName} = $size; } } foreach my $size (keys %ensemblChrs) { if (!exists($usedEnsemblChrs{$size})) { my $ensemblName = $ensemblChrs{$size}; if (! exists($ensemblTranslate{$ensemblName})) { die "can not translate Ensembl name $ensemblName"; } else { my $ucscSize = $ensemblTranslate{$ensemblName}; printf "%s\t%s\t%d\t%d\n", $ucscChrs{$ucscSize}, $ensemblChrs{$size} , $ucscSize, $size; } } } printf "chrM\tMT\n"; '_EOF_' # << happy emacs chmod +x relateUcscEnsembl.pl ./relateUcscEnsembl.pl 2>&1 | grep -v "^#" \ | awk '{printf "%s\t%s\n", $1, $2}' | sort > ucscToEnsembl.tab cat << '_EOF_' > ucscToEnsembl.sql # UCSC to Ensembl chr name translation CREATE TABLE ucscToEnsembl ( ucsc varchar(255) not null, # UCSC chromosome name ensembl varchar(255) not null, # Ensembl chromosome name #Indices PRIMARY KEY(ucsc(21)) ); '_EOF_' hgsql hg19 < ucscToEnsembl.sql hgsql hg19 \ -e 'LOAD DATA LOCAL INFILE "ucscToEnsembl.tab" INTO TABLE ucscToEnsembl' awk '{printf "%s\t%d\n", $2, -$1}' ../../jkStuff/ensGene.haplotype.lift \ > ensemblLift.tab cat << '_EOF_' > ensemblLift.sql # UCSC offset to Ensembl coordinates CREATE TABLE ensemblLift ( chrom varchar(255) not null, # Ensembl chromosome name offset int unsigned not null, # offset to add to UCSC position #Indices PRIMARY KEY(chrom(15)) ); '_EOF_' hgsql hg19 < ensemblLift.sql hgsql hg19 \ -e 'LOAD DATA LOCAL INFILE "ensemblLift.tab" INTO TABLE ensemblLift' ############################################################################## # LASTZ MOUSE Mm9 (DONE - 2009-05-13 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzMm9.2009-05-13 cd /hive/data/genomes/hg19/bed/lastzMm9.2009-05-13 cat << '_EOF_' > DEF # human vs mouse BLASTZ_ABRIDGE_REPEATS=1 # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_SMSK=/scratch/data/hg19/linSpecRep/lineageSpecificRepeats SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Mouse Mm9 SEQ2_DIR=/scratch/data/mm9/nib SEQ2_SMSK=/scratch/data/mm9/notInOthers SEQ2_LEN=/scratch/data/mm9/chrom.sizes SEQ2_CHUNK=10000000 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzMm9.2009-05-13 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # establish a screen to control this job screen time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -noLoadChainSplit -syntenicNet \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ -chainMinScore=3000 -chainLinearGap=medium > do.log 2>&1 & cat fb.hg19.chainMm9Link.txt # 1022734273 bases of 2897316137 (35.299%) in intersection # and the swap mkdir /hive/data/genomes/mm9/bed/blastz.hg19.swap cd /hive/data/genomes/mm9/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzMm9.2009-05-13/DEF \ -swap -noLoadChainSplit -syntenicNet \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ -chainMinScore=3000 -chainLinearGap=medium > swap.log 2>&1 & # real 131m58.763s cat fb.mm9.chainHg19Link.txt # 1013880568 bases of 2620346127 (38.693%) in intersection ######################################################################### # LASTZ Dog CanFam2 (DONE - 2009-05-13 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzCanFam2.2009-05-13 cd /hive/data/genomes/hg19/bed/lastzCanFam2.2009-05-13 cat << '_EOF_' > DEF # human vs dog BLASTZ_ABRIDGE_REPEATS=1 # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_SMSK=/scratch/data/hg19/linSpecRep/lineageSpecificRepeats SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Dog CanFam2 SEQ2_DIR=/scratch/data/canFam2/nib SEQ2_LEN=/scratch/data/canFam2/chrom.sizes SEQ2_SMSK=/scratch/scratch/data/canFam2/linSpecRep.notInHuman SEQ2_IN_CONTIGS=0 SEQ2_CHUNK=20000000 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzCanFam2.2009-05-13 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # establish a screen to control this job screen time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -noLoadChainSplit -syntenicNet \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=pk \ -chainMinScore=3000 -chainLinearGap=medium > do.log 2>&1 & cat fb.hg19.chainCanFam2Link.txt # 1532073507 bases of 2897316137 (52.879%) in intersection # running the swap - DONE - 2009-06-02 mkdir /hive/data/genomes/canFam2/bed/blastz.hg19.swap cd /hive/data/genomes/canFam2/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzCanFam2.2009-05-13/DEF \ -noLoadChainSplit -swap \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=pk \ -chainMinScore=3000 -chainLinearGap=medium > swap.log 2>&1 & # real 200m17.158s cat fb.canFam2.chainHg19Link.txt # 1480018167 bases of 2384996543 (62.055%) in intersection ######################################################################### # LASTZ Chicken GalGal3 (DONE - 2009-05-13 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzGalGal3.2009-05-13 cd /hive/data/genomes/hg19/bed/lastzGalGal3.2009-05-13 cat << '_EOF_' > DEF # human vs chicken # Specific settings for chicken (per Webb email to Brian Raney) BLASTZ_H=2000 BLASTZ_Y=3400 BLASTZ_L=10000 BLASTZ_K=2200 BLASTZ_Q=/scratch/data/blastz/HoxD55.q BLASTZ_ABRIDGE_REPEATS=1 # TARGET: Human hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_SMSK=/scratch/data/hg19/lineageSpecificRepeats SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Chicken galGal3 - single chunk big enough to run entire chrom SEQ2_DIR=/scratch/data/galGal3/nib SEQ2_LEN=/scratch/data/galGal3/chrom.sizes SEQ2_SMSK=/scratch/data/galGal3/linSpecRep SEQ2_CHUNK=200000000 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzGalGal3.2009-05-13 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -syntenicNet \ -noLoadChainSplit \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=pk \ -chainMinScore=5000 -chainLinearGap=loose > do.log 2>&1 cat fb.hg19.chainGalGal3Link.txt # 104053179 bases of 2897316137 (3.591%) in intersection # running the swap - DONE - 2009-06-02 mkdir /hive/data/genomes/galGal3/bed/blastz.hg19.swap cd /hive/data/genomes/galGal3/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzGalGal3.2009-05-13/DEF \ -swap \ -noLoadChainSplit \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=pk \ -chainMinScore=5000 -chainLinearGap=loose > swap.log 2>&1 # real 16m45.090s cat fb.galGal3.chainHg19Link.txt # 91605899 bases of 1042591351 (8.786%) in intersection ######################################################################### # LASTZ Macaca Mulatta RheMac2 (DONE - 2009-05-13 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzRheMac2.2009-05-13 cd /hive/data/genomes/hg19/bed/lastzRheMac2.2009-05-13 cat << '_EOF_' > DEF # human vs macaca mulatta BLASTZ=lastz # maximum M allowed with lastz is only 254 BLASTZ_M=254 BLASTZ_Q=/scratch/data/blastz/human_chimp.v2.q # and place those items here BLASTZ_O=600 BLASTZ_E=150 # other parameters from panTro2 vs hg18 lastz on advice from Webb BLASTZ_K=4500 BLASTZ_Y=15000 BLASTZ_T=2 # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 SEQ1_IN_CONTIGS=0 # QUERY: Macaca Mulatta RheMac2 SEQ2_DIR=/scratch/data/rheMac2/rheMac2.2bit SEQ2_LEN=/scratch/data/rheMac2/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_IN_CONTIGS=0 BASE=/hive/data/genomes/hg19/bed/lastzRheMac2.2009-05-13 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -syntenicNet \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ > do.log 2>&1 & # real 760m22.810s cat fb.hg19.chainRheMac2Link.txt # 2397361211 bases of 2897316137 (82.744%) in intersection # running the swap - DONE - 2009-06-02 mkdir /hive/data/genomes/rheMac2/bed/blastz.hg19.swap cd /hive/data/genomes/rheMac2/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzRheMac2.2009-05-13/DEF \ -swap \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ > swap.log 2>&1 & # real 83m51.483s cat fb.rheMac2.chainHg19Link.txt # 2313806886 bases of 2646704109 (87.422%) in intersection ######################################################################### # LASTZ Rat Rn4 (DONE - 2009-05-13 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzRn4.2009-05-13 cd /hive/data/genomes/hg19/bed/lastzRn4.2009-05-13 cat << '_EOF_' > DEF # human vs rat BLASTZ_ABRIDGE_REPEATS=1 # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_SMSK=/scratch/data/hg19/lineageSpecificRepeats SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Rat Rn4 SEQ2_DIR=/scratch/data/rn4/nib SEQ2_SMSK=/scratch/data/rn4/linSpecRep.notInHuman SEQ2_LEN=/scratch/data/rn4/chrom.sizes SEQ2_CHUNK=10000000 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzRn4.2009-05-13 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # establish a screen to control this job screen time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -syntenicNet -noLoadChainSplit \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ -chainMinScore=3000 -chainLinearGap=medium > do.log 2>&1 & # real 314m18.227s cat fb.hg19.chainRn4Link.txt # 952605822 bases of 2897316137 (32.879%) in intersection # running the swap - DONE - 2009-06-02 mkdir /hive/data/genomes/rn4/bed/blastz.hg19.swap cd /hive/data/genomes/rn4/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzRn4.2009-05-13/DEF \ -swap -noLoadChainSplit \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ -chainMinScore=3000 -chainLinearGap=medium > swap.log 2>&1 & # real 188m0.163s cat fb.rn4.chainHg19Link.txt # 947862300 bases of 2571531505 (36.860%) in intersection ############################################################################## # LASTZ Orangutan PonAbe2 (DONE - 2009-05-13 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzPonAbe2.2009-05-13 cd /hive/data/genomes/hg19/bed/lastzPonAbe2.2009-05-13 cat << '_EOF_' > DEF # human vs orangutan BLASTZ=lastz # maximum M allowed with lastz is only 254 BLASTZ_M=254 BLASTZ_Q=/scratch/data/blastz/human_chimp.v2.q # and place those items here BLASTZ_O=600 BLASTZ_E=150 # other parameters from panTro2 vs hg18 lastz on advice from Webb BLASTZ_K=4500 BLASTZ_Y=15000 BLASTZ_T=2 # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 SEQ1_IN_CONTIGS=0 # QUERY: Orangutan PonAbe1 SEQ2_DIR=/scratch/data/ponAbe2/ponAbe2.2bit SEQ2_LEN=/scratch/data/ponAbe2/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_IN_CONTIGS=0 BASE=/hive/data/genomes/hg19/bed/lastzPonAbe2.2009-05-13 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # establish a screen to control this job screen time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -syntenicNet \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=pk \ > do.log 2>&1 & cat fb.hg19.chainPonAbe2Link.txt # 2646687531 bases of 2897316137 (91.350%) in intersection # better to have reciprocal best for this one since it is low coverage: cd /hive/data/genomes/hg19/bed/lastzPonAbe2.2009-05-13 time doRecipBest.pl hg19 ponAbe2 -buildDir=`pwd` -workhorse=hgwdev \ > best.log 2>&1 # real 159m4.934s # running the swap - DONE - 2009-06-02 mkdir /hive/data/genomes/ponAbe2/bed/blastz.hg19.swap cd /hive/data/genomes/ponAbe2/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzPonAbe2.2009-05-13/DEF \ -swap \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=pk \ > swap.log 2>&1 & # real 124m3.610s cat fb.ponAbe2.chainHg19Link.txt # 2772351468 bases of 3093572278 (89.617%) in intersection ############################################################################## # LASTZ Lamprey PetMar1 (DONE - 2009-05-14 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzPetMar1.2009-05-14 cd /hive/data/genomes/hg19/bed/lastzPetMar1.2009-05-14 cat << '_EOF_' > DEF # Human vs. Lamprey BLASTZ_Y=3400 BLASTZ_L=6000 BLASTZ_K=2200 BLASTZ_M=50 BLASTZ_Q=/scratch/data/blastz/HoxD55.q # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=100000000 SEQ1_LAP=10000 SEQ2_LIMIT=5 # QUERY: Lamprey petMar1 SEQ2_DIR=/scratch/data/petMar1/petMar1.2bit SEQ2_LEN=/scratch/data/petMar1/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LIMIT=300 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzPetMar1.2009-05-14 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # establish a screen to control this job screen time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -qRepeats=windowmaskerSdust \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=pk \ > do.log 2>&1 & # real 113m20.116s cat fb.hg19.chainPetMar1Link.txt # 31347143 bases of 2897316137 (1.082%) in intersection # running the swap - DONE - 2009-06-02 mkdir /hive/data/genomes/petMar1/bed/blastz.hg19.swap cd /hive/data/genomes/petMar1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzPetMar1.2009-05-14/DEF \ -qRepeats=windowmaskerSdust \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=pk \ -swap > swap.log 2>&1 & # real 59m14.813s cat fb.petMar1.chainHg19Link.txt # 26615001 bases of 831696438 (3.200%) in intersection ############################################################################## # LASTZ Fugu Fr2 (DONE - 2009-05-14 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzFr2.2009-05-14 cd /hive/data/genomes/hg19/bed/lastzFr2.2009-05-14 cat << '_EOF_' > DEF # Human vs. Fugu # Try "human-fugu" (more distant, less repeat-killed than mammal) params # +M=50: BLASTZ_Y=3400 BLASTZ_L=6000 BLASTZ_K=2200 BLASTZ_M=50 BLASTZ_Q=/scratch/data/blastz/HoxD55.q # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 SEQ1_LIMIT=5 # QUERY: Fugu fr2 # Align to the scaffolds, results lifed up to chrUn.sdTrf coordinates SEQ2_DIR=/scratch/data/fr2/fr2.2bit SEQ2_LEN=/hive/data/genomes/fr2/chrom.sizes SEQ2_CTGDIR=/hive/data/genomes/fr2/noUn/fr2.scaffolds.2bit SEQ2_CTGLEN=/hive/data/genomes/fr2/noUn/fr2.scaffolds.sizes SEQ2_LIFT=/hive/data/genomes/fr2/jkStuff/liftAll.lft SEQ2_CHUNK=20000000 SEQ2_LIMIT=30 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzFr2.2009-05-14 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # establish a screen to control this job screen time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -qRepeats=windowmaskerSdust \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=encodek \ > do.log 2>&1 & # real 5797m9.288s # had a small problem finishing the fundamental batch run, continuing: time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -continue=cat -qRepeats=windowmaskerSdust \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=encodek \ > cat.log 2>&1 & cat fb.hg19.chainFr2Link.txt # 49309456 bases of 2897316137 (1.702%) in intersection # running the swap - DONE - 2009-06-02 mkdir /hive/data/genomes/fr2/bed/blastz.hg19.swap cd /hive/data/genomes/fr2/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzFr2.2009-05-14/DEF \ -qRepeats=windowmaskerSdust \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=encodek \ -swap > swap.log 2>&1 & # real 25m8.491s cat fb.fr2.chainHg19Link.txt # 42984130 bases of 393312790 (10.929%) in intersection ############################################################################## # LASTZ Tetraodon TetNig1 (DONE - 2009-05-14 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzTetNig1.2009-05-14 cd /hive/data/genomes/hg19/bed/lastzTetNig1.2009-05-14 cat << '_EOF_' > DEF # human vs tetraodon BLASTZ_Y=3400 BLASTZ_L=6000 BLASTZ_K=2200 BLASTZ_M=50 BLASTZ_Q=/scratch/data/blastz/HoxD55.q # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 SEQ1_LIMIT=5 # QUERY: Tetraodon TetNig1 - single chunk big enough to run entire genome SEQ2_DIR=/scratch/data/tetNig1/tetNig1.2bit SEQ2_LEN=/hive/data/genomes/tetNig1/chrom.sizes SEQ2_CHUNK=410000000 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzTetNig1.2009-05-14 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # establish a screen to control this job screen time nice -n +19 $HOME/kent/src/hg/utils/automation/doBlastzChainNet.pl \ -verbose=2 \ `pwd`/DEF \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=pk \ > do.log 2>&1 & # real 166m19.745s cat fb.hg19.chainTetNig1Link.txt # 58038079 bases of 2897316137 (2.003%) in intersection # running the swap - DONE - 2009-06-02 mkdir /hive/data/genomes/tetNig1/bed/blastz.hg19.swap cd /hive/data/genomes/tetNig1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzTetNig1.2009-05-14/DEF \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=pk \ -swap > swap.log 2>&1 & # real 29m20.968s cat fb.tetNig1.chainHg19Link.txt # 49453375 bases of 342403326 (14.443%) in intersection ############################################################################## # LASTZ Stickleback GasAcu1 (DONE - 2009-05-14 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzGasAcu1.2009-05-14 cd /hive/data/genomes/hg19/bed/lastzGasAcu1.2009-05-14 cat << '_EOF_' > DEF # Human vs. Stickleback BLASTZ_Y=3400 BLASTZ_L=6000 BLASTZ_K=2200 BLASTZ_M=50 BLASTZ_Q=/scratch/data/blastz/HoxD55.q # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 SEQ1_LIMIT=5 # TARGET: Stickleback gasAcu1 SEQ2_DIR=/scratch/data/gasAcu1/gasAcu1.2bit SEQ2_LEN=/hive/data/genomes/gasAcu1/chrom.sizes SEQ2_CHUNK=10000000 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzGasAcu1.2009-05-14 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # establish a screen to control this job screen time nice -n +19 $HOME/kent/src/hg/utils/automation/doBlastzChainNet.pl \ -verbose=2 \ `pwd`/DEF \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=pk \ > do.log 2>&1 & # real 174m40.659s cat fb.hg19.chainGasAcu1Link.txt # 55509003 bases of 2897316137 (1.916%) in intersection # running the swap - DONE - 2009-06-02 mkdir /hive/data/genomes/gasAcu1/bed/blastz.hg19.swap cd /hive/data/genomes/gasAcu1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzGasAcu1.2009-05-14/DEF \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=pk \ -swap > swap.log 2>&1 & # real 29m41.433s cat fb.gasAcu1.chainHg19Link.txt # 49909819 bases of 446627861 (11.175%) in intersection ############################################################################## # LASTZ Marmoset CalJac1 (DONE - 2009-05-14,22 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzCalJac1.2009-05-14 cd /hive/data/genomes/hg19/bed/lastzCalJac1.2009-05-14 cat << '_EOF_' > DEF # human vs. marmoset BLASTZ=lastz # maximum M allowed with lastz is only 254 BLASTZ_M=254 BLASTZ_Q=/scratch/data/blastz/human_chimp.v2.q # and place those items here BLASTZ_O=600 BLASTZ_E=150 # other parameters from panTro2 vs hg18 lastz on advice from Webb BLASTZ_K=4500 BLASTZ_Y=15000 BLASTZ_T=2 # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=20000000 SEQ1_LAP=10000 SEQ1_LIMIT=5 # QUERY: Marmoset (calJac1) SEQ2_DIR=/scratch/data/calJac1/calJac1.2bit SEQ2_LEN=/scratch/data/calJac1/chrom.sizes SEQ2_LIMIT=200 SEQ2_CHUNK=30000000 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzCalJac1.2009-05-14 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -syntenicNet \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ > do.log 2>&1 & # real 214m16.294s cat fb.hg19.chainCalJac1Link.txt # 2053025318 bases of 2897316137 (70.860%) in intersection time doRecipBest.pl -buildDir=`pwd` hg19 calJac1 > rbest.log 2>&1 & # real 97m17.207s # running the swap - DONE - 2009-06-02 mkdir /hive/data/genomes/calJac1/bed/blastz.hg19.swap cd /hive/data/genomes/calJac1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzCalJac1.2009-05-14/DEF \ -swap \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ > swap.log 2>&1 & # real 162m52.189s cat fb.calJac1.chainHg19Link.txt # 2105959656 bases of 2929139385 (71.897%) in intersection ######################################################################### # LASTZ Tarsier TarSyr1 (DONE - 2009-05-14,30 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzTarSyr1.2009-05-14 cd /hive/data/genomes/hg19/bed/lastzTarSyr1.2009-05-14 cat << '_EOF_' > DEF # Human vs. Tarsier # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=200000000 SEQ1_LAP=10000 SEQ1_LIMIT=5 # QUERY: Tarsier SEQ2_DIR=/scratch/data/tarSyr1/tarSyr1.2bit SEQ2_LEN=/scratch/data/tarSyr1/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LIMIT=50 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzTarSyr1.2009-05-14 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs time nice -n +19 $HOME/kent/src/hg/utils/automation/doBlastzChainNet.pl \ -verbose=2 \ `pwd`/DEF \ -noLoadChainSplit -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ > do.log 2>&1 & # real 1724m48.032s # need to load the chain table manually: # mySQL error 1114: The table 'chainTarSyr1Link' is full cd /hive/data/genomes/hg19/bed/lastzTarSyr1.2009-05-14/axtChain wc -l *.tab # 21882142 chain.tab # 165017606 link.tab # 186899748 total awk '{print length($0)}' link.tab | sort | uniq -c | less 4 23 9 24 27 25 105 26 767 27 1401 28 5020 29 8472 30 24390 31 117666 32 264774 33 776095 34 1632393 35 2672187 36 7125988 37 16831901 38 34905113 39 45218159 40 31570706 41 13746548 42 5868689 43 2460114 44 1118556 45 420826 46 106674 47 36770 48 40719 49 36955 50 19389 51 5571 52 1557 53 61 54 time nice -n +19 hgsql -e "DROP TABLE chainTarSyr1Link;" hg19 cat << '_EOF_' | hgsql hg19 CREATE TABLE chainTarSyr1Link ( bin smallint(5) unsigned NOT NULL default 0, tName varchar(255) NOT NULL default '', tStart int(10) unsigned NOT NULL default 0, tEnd int(10) unsigned NOT NULL default 0, qStart int(10) unsigned NOT NULL default 0, chainId int(10) unsigned NOT NULL default 0, KEY tName (tName(16),bin), KEY chainId (chainId) ) ENGINE=MyISAM max_rows=166000000 avg_row_length=42 pack_keys=1 CHARSET=latin1; '_EOF_' # << happy emacs time nice -n +19 hgsql -e \ "load data local infile \"link.tab\" into table chainTarSyr1Link;" hg19 # real 157m0.230s # the running the rest of loadUp.csh after the hgLoadChain # real 26m8.263s cat fb.hg19.chainTarSyr1Link.txt # 1385797066 bases of 2897316137 (47.830%) in intersection # Continuing: time nice -n +19 $HOME/kent/src/hg/utils/automation/doBlastzChainNet.pl \ -continue=download -verbose=2 \ `pwd`/DEF \ -noLoadChainSplit -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ > download.log 2>&1 & # real 48m6.573s # ran the script on swarm to recover after hive outages time doRecipBest.pl -buildDir=`pwd` hg19 tarSyr1 > rbest.log 2>&1 & # real 404m0.201s time doRecipBest.pl -continue=download -buildDir=`pwd` \ hg19 tarSyr1 > rbest.download.log 2>&1 & # swap DONE - 2013-07-03 - Hiram mkdir /hive/data/genomes/tarSyr1/bed/blastz.hg19.swap cd /hive/data/genomes/tarSyr1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzTarSyr1.2009-05-14/DEF \ -swap -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ > swap.log 2>&1 & # real 1280m20.578s cat fb.tarSyr1.chainHg19Link.txt # 1529248348 bases of 2768536343 (55.237%) in intersection cd /hive/data/genomes/tarSyr1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # LASTZ Bushbaby OtoGar1 (DONE - 2009-05-14,22 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzOtoGar1.2009-05-14 cd /hive/data/genomes/hg19/bed/lastzOtoGar1.2009-05-14 cat << '_EOF_' > DEF # Human vs. Bushbaby # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=200000000 SEQ1_LAP=10000 SEQ1_LIMIT=5 # QUERY: Bushbaby otoGar1 - single chunk big enough to run largest scaffold SEQ2_DIR=/scratch/data/otoGar1/otoGar1.rmsk.2bit SEQ2_LEN=/hive/data/genomes/otoGar1/chrom.sizes SEQ2_LIMIT=200 SEQ2_CHUNK=30000000 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzOtoGar1.2009-05-14 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs time nice -n +19 $HOME/kent/src/hg/utils/automation/doBlastzChainNet.pl \ -verbose=2 \ `pwd`/DEF \ -noLoadChainSplit -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ > do.log 2>&1 & # real 762m56.055s cat fb.hg19.chainOtoGar1Link.txt # 1264492372 bases of 2897316137 (43.644%) in intersection time doRecipBest.pl -buildDir=`pwd` hg19 otoGar1 > rbest.log 2>&1 & # real 271m39.925s ######################################################################### # LASTZ Mouse lemur MicMur1 (DONE - 2009-05-14,26 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzMicMur1.2009-05-14 cd /hive/data/genomes/hg19/bed/lastzMicMur1.2009-05-14 cat << '_EOF_' > DEF # Human vs. Mouse lemur # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=200000000 SEQ1_LAP=10000 SEQ1_LIMIT=5 # QUERY: Mouse lemur SEQ2_DIR=/hive/data/genomes/micMur1/bed/repeatMasker/micMur1.rmsk.2bit SEQ2_LEN=/hive/data/genomes/micMur1/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LIMIT=100 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzMicMur1.2009-05-14 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs time nice -n +19 $HOME/kent/src/hg/utils/automation/doBlastzChainNet.pl \ -verbose=2 \ `pwd`/DEF \ -noLoadChainSplit -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=pk \ > do.log 2>&1 & # real 5429m52.082s # there is one unusual long running job having trouble # continuing after finishing the lastz run manually: time nice -n +19 $HOME/kent/src/hg/utils/automation/doBlastzChainNet.pl \ -continue=cat -verbose=2 \ `pwd`/DEF \ -noLoadChainSplit -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=pk \ > cat.log 2>&1 & # real 388m25.032s cat fb.hg19.chainMicMur1Link.txt # 1347792207 bases of 2897316137 (46.519%) in intersection time doRecipBest.pl -buildDir=`pwd` hg19 micMur1 > rbest.log 2>&1 # about 4h30m # and for the swap (DONE - 2013-03-26 - Hiram) time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzMicMur1.2009-05-14/DEF \ -noLoadChainSplit -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=encodek \ > swap.log 2>&1 & # Elapsed time: 186m47s cat fb.micMur1.chainHg19Link.txt # 1318212266 bases of 1852394361 (71.163%) in intersection ######################################################################### # LASTZ Baboon PapAnu2 (DONE - 2013-08-19 braney) mkdir /hive/data/genomes/hg19/bed/lastzPapAnu2.2013-08-19 cd /hive/data/genomes/hg19/bed/lastzPapAnu2.2013-08-19 cat << '_EOF_' > DEF # human vs baboon BLASTZ=lastz # maximum M allowed with lastz is only 254 BLASTZ_M=254 BLASTZ_Q=/scratch/data/blastz/human_chimp.v2.q # and place those items here BLASTZ_O=600 BLASTZ_E=150 # other parameters from panTro2 vs hg18 lastz on advice from Webb BLASTZ_K=4500 BLASTZ_Y=15000 BLASTZ_T=2 # TARGET: Human Hg19 SEQ1_DIR=/hive/data/genomes/hg19/hg19.2bit SEQ1_LEN=/hive/data/genomes/hg19/chrom.sizes SEQ1_CHUNK=100000000 SEQ1_LAP=10000 SEQ1_IN_CONTIGS=0 # QUERY: Baboon papAnu2 SEQ2_DIR=/hive/data/genomes/papAnu2/papAnu2.2bit SEQ2_LEN=/hive/data/genomes/papAnu2/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LIMIT=300 SEQ2_LAP=0 SEQ2_IN_CONTIGS=0 BASE=/hive/data/genomes/hg19/bed/lastzPapAnu2.2013-08-19 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ > do.log 2>&1 & # real 162m10.321s cat fb.hg19.chainPapAnu2Link.txt # 2467659115 bases of 2897316137 (85.171%) in intersection cd /hive/data/genomes/hg19/bed ln -s lastzPapAnu2.2013-08-19 lastz.papAnu2 cd lastz.papAnu2 time doRecipBest.pl -buildDir=`pwd` hg19 papAnu2 > rbest.log 2>&1 & # real 182m0.276s # running the swap - DONE - 2014-07-25 mkdir /hive/data/genomes/papAnu2/bed/blastz.hg19.swap cd /hive/data/genomes/papAnu2/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzPapAnu2.2013-08-19/DEF \ -syntenicNet -chainMinScore=5000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ > swap.log 2>&1 # real 99m36.864s cat fb.papAnu2.chainHg19Link.txt # 2410008689 bases of 2893250291 (83.298%) in intersection ######################################################################### # LASTZ Baboon PapHam1 (DONE - 2009-05-20,22 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzPapHam1.2009-05-20 cd /hive/data/genomes/hg19/bed/lastzPapHam1.2009-05-20 cat << '_EOF_' > DEF # human vs baboon BLASTZ=lastz # maximum M allowed with lastz is only 254 BLASTZ_M=254 BLASTZ_Q=/scratch/data/blastz/human_chimp.v2.q # and place those items here BLASTZ_O=600 BLASTZ_E=150 # other parameters from panTro2 vs hg18 lastz on advice from Webb BLASTZ_K=4500 BLASTZ_Y=15000 BLASTZ_T=2 # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=100000000 SEQ1_LAP=10000 SEQ1_IN_CONTIGS=0 # QUERY: Baboon papHam1 SEQ2_DIR=/scratch/data/papHam1/papHam1.2bit SEQ2_LEN=/scratch/data/papHam1/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LIMIT=300 SEQ2_LAP=0 SEQ2_IN_CONTIGS=0 BASE=/hive/data/genomes/hg19/bed/lastzPapHam1.2009-05-20 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # forgot that the synNet was not needed here, use recip best as below time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -syntenicNet \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ > do.log 2>&1 & cat fb.hg19.chainPapHam1Link.txt # 2399269031 bases of 2897316137 (82.810%) in intersection cd /hive/data/genomes/hg19/bed ln -s lastzPapHam1.2009-05-20 lastz.papHam1 time doRecipBest.pl -buildDir=`pwd` hg19 papHam1 > rbest.log 2>&1 # real 182m0.276s # running the swap - DONE - 2013-07-01 mkdir /hive/data/genomes/papHam1/bed/blastz.hg19.swap cd /hive/data/genomes/papHam1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzPapHam1.2009-05-20/DEF \ -syntenicNet \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ > swap.log 2>&1 & # real 534m25.137s cat fb.papHam1.chainHg19Link.txt # 2353204907 bases of 2741849051 (85.825%) in intersection cd /hive/data/genomes/papHam1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # SGP GENES (DONE - 2009-05-22 - Hiram) mkdir /hive/data/genomes/hg19/bed/sgpGene cd /hive/data/genomes/hg19/bed/sgpGene mkdir download cd download for C in `cut -f1 ../../../chrom.sizes` do echo $C wget --timestamping \ http://genome.crg.es/genepredictions/H.sapiens/golden_path_200902_x_mm9/SGP/${C}.gtf wget --timestamping \ http://genome.crg.es/genepredictions/H.sapiens/golden_path_200902_x_mm9/SGP/${C}.prot done cd .. cat download/*.gtf | ldHgGene -gtf -genePredExt hg19 sgpGene stdin # Read 33994 transcripts in 291782 lines in 1 files # 33994 groups 85 seqs 1 sources 3 feature types # 33994 gene predictions nice -n +19 featureBits -enrichment hg19 refGene:CDS sgpGene # refGene:CDS 1.181%, sgpGene 1.295%, both 1.011%, cover 85.59%, enrich 66.08x ########################################################################### # GENEID GENE PREDICTIONS (DONE - 2009-05-22 - Hiram) ssh hgwdev mkdir /hive/data/genomes/hg19/bed/geneid cd /hive/data/genomes/hg19/bed/geneid mkdir download cd download for C in `cut -f1 ../../../chrom.sizes` do echo $C wget --timestamping \ http://genome.crg.es/genepredictions/H.sapiens/golden_path_200902/geneid_v1.3/${C}.gtf wget --timestamping \ http://genome.crg.es/genepredictions/H.sapiens/golden_path_200902/geneid_v1.3/${C}.prot done cd .. cat download/*.gtf | ldHgGene -gtf -genePredExt hg19 geneid stdin # Read 33428 transcripts in 277332 lines in 1 files # 33428 groups 92 seqs 1 sources 3 feature types # 33428 gene predictions ########################################################################## ## 4-Way Multiz for UCSC Genes construction (DONE - 2009-05-22 - Hiram) ssh hgwdev mkdir /hive/data/genomes/hg19/bed/multiz4way cd /hive/data/genomes/hg19/bed/multiz4way # extract our 4 organisms from the 44-way on hg18: ln -s /hive/data/genomes/hg18/bed/multiz44way/44way.4d.nh ./44way.nh /cluster/bin/phast/tree_doctor \ --prune-all-but hg18,mm9,canFam2,rheMac2 44way.nh \ | sed -e "s/hg18/hg19/" > 4way.nh # this looks like: cat 4way.nh (((hg19:0.032973,rheMac2:0.036199):0.109706,mm9:0.352605):0.020666,canFam2:0.193569); # Use this specification in the phyloGif tool: # http://genome.ucsc.edu/cgi-bin/phyloGif # to obtain a gif image for htdocs/images/phylo/hg19_4way.gif /cluster/bin/phast/all_dists 4way.nh > 4way.distances.txt # Use this output to create the table below grep -y hg19 4way.distances.txt | sort -k3,3n # # If you can fill in all the numbers in this table, you are ready for # the multiple alignment procedure # # featureBits chainLink measures # chainHg19Link chain linearGap # distance on hg19 on other minScore # 1 0.069172 - rhesus rheMac2 (% 82.744) (% xx.xxx) 5000 medium # 2 0.356914 - dog canFam2 (% 52.879) (% xx.xxx) 3000 medium # 3 0.495284 - mouse mm9 (% 35.299) (% 38.693) 3000 medium # using the syntenic nets cd /cluster/data/hg19/bed/multiz4way mkdir mafLinks cd mafLinks mkdir rheMac2 canFam2 mm9 cd mm9 ln -s ../../../lastz.mm9/mafSynNet/*.maf.gz . cd ../canFam2 ln -s ../../../lastz.canFam2/mafSynNet/*.maf.gz . cd ../rheMac2 ln -s ../../../lastz.rheMac2/mafSynNet/*.maf.gz . # determine what is the newest version of multiz and use that cd /hive/data/genomes/hg19/bed/multiz4way mkdir penn cp -p /cluster/bin/penn/multiz.v11.2007-03-19/multiz-tba/multiz penn cp -p /cluster/bin/penn/multiz.v11.2007-03-19/multiz-tba/maf_project penn cp -p /cluster/bin/penn/multiz.v11.2007-03-19/multiz-tba/autoMZ penn # the autoMultiz cluster run ssh swarm cd /hive/data/genomes/hg19/bed/multiz4way # create species list and stripped down tree for autoMZ sed 's/[a-z][a-z]*_//g; s/:[0-9\.][0-9\.]*//g; s/;//; /^ *$/d' \ 4way.nh > tmp.nh echo `cat tmp.nh` | sed 's/ //g; s/,/ /g' > tree.nh sed 's/[()]//g; s/,/ /g' tree.nh > species.lst mkdir run maf cd run # NOTE: you need to set the db and multiz dirname properly in this script cat > autoMultiz << '_EOF_' #!/bin/csh -ef set db = hg19 set c = $1 set maf = $2 set binDir = /hive/data/genomes/hg19/bed/multiz4way/penn set tmp = /scratch/tmp/$db/multiz.$c set pairs = /hive/data/genomes/hg19/bed/multiz4way/mafLinks rm -fr $tmp mkdir -p $tmp cp ../{tree.nh,species.lst} $tmp pushd $tmp foreach s (`cat species.lst`) set in = $pairs/$s/$c.maf set out = $db.$s.sing.maf if ($s == $db) then continue endif if (-e $in.gz) then zcat $in.gz > $out else if (-e $in) then cp $in $out else echo "##maf version=1 scoring=autoMZ" > $out endif end set path = ($binDir $path); rehash $binDir/autoMZ + T=$tmp E=$db "`cat tree.nh`" $db.*.sing.maf $c.maf popd cp $tmp/$c.maf $maf rm -fr $tmp '_EOF_' # << happy emacs chmod +x autoMultiz cat << '_EOF_' > template #LOOP ./autoMultiz $(root1) {check out line+ /hive/data/genomes/hg19/bed/multiz4way/maf/$(root1).maf} #ENDLOOP '_EOF_' # << happy emacs cut -f1 /cluster/data/hg19/chrom.sizes > chrom.lst gensub2 chrom.lst single template jobList para create jobList # 93 jobs para try ... check ... push ... etc ... # Completed: 93 of 93 jobs # CPU time in finished jobs: 24282s 404.70m 6.75h 0.28d 0.001 y # IO & Wait Time: 2362s 39.36m 0.66h 0.03d 0.000 y # Average job time: 286s 4.77m 0.08h 0.00d # Longest finished job: 2235s 37.25m 0.62h 0.03d # Submission to last job: 2241s 37.35m 0.62h 0.03d # combine results into a single file for loading and gbdb reference cd /hive/data/genomes/hg19/bed/multiz4way time nice -n +19 catDir maf > multiz4way.maf # real 3m27.561s # makes a 8.5 Gb file: # -rw-rw-r-- 1 9026080732 May 22 11:11 multiz4way.maf # Load into database ssh hgwdev cd /hive/data/genomes/hg19/bed/multiz4way mkdir /gbdb/hg19/multiz4way ln -s /hive/data/genomes/hg19/bed/multiz4way/multiz4way.maf \ /gbdb/hg19/multiz4way # the hgLoadMaf generates huge tmp files, locate them in /scratch/tmp/ cd /scratch/tmp time nice -n +19 hgLoadMaf hg19 multiz4way # real 5m31.883s # Loaded 5788627 mafs in 1 files from /gbdb/hg19/multiz4way cd /hive/data/genomes/hg19/bed/multiz4way time nice -n +19 hgLoadMafSummary -minSize=10000 -mergeGap=500 \ -maxSize=50000 hg19 multiz4waySummary multiz4way.maf # Created 1238721 summary blocks from 11959676 components # and 5788627 mafs from multiz4way.maf # real 6m33.936s ######################################################################### # LASTZ Medaka OryLat2 (DONE - 2009-05-22 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzOryLat2.2009-05-22 cd /hive/data/genomes/hg19/bed/lastzOryLat2.2009-05-22 cat << '_EOF_' > DEF # Human vs. Medaka # typical parameters for a genome that is distant from human BLASTZ_Y=3400 BLASTZ_L=6000 BLASTZ_K=2200 BLASTZ_M=50 BLASTZ_Q=/scratch/data/blastz/HoxD55.q # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 SEQ1_LIMIT=5 # QUERY: Medaka oryLat2 (40M chunks covers the largest chroms in one gulp) SEQ2_DIR=/scratch/data/oryLat2/oryLat2.2bit SEQ2_LEN=/hive/data/genomes/oryLat2/chrom.sizes SEQ2_CHUNK=40000000 SEQ2_LIMIT=200 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzOryLat2.2009-05-22 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # establish a screen to control this job screen time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -qRepeats=windowmaskerSdust \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=pk \ > do.log 2>&1 & # real 124m5.298s cat fb.hg19.chainOryLat2Link.txt # 53571737 bases of 2897316137 (1.849%) in intersection # running the swap - DONE - 2009-06-02 mkdir /hive/data/genomes/oryLat2/bed/blastz.hg19.swap cd /hive/data/genomes/oryLat2/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzOryLat2.2009-05-22/DEF \ -qRepeats=windowmaskerSdust \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=pk \ -swap > swap.log 2>&1 & # real 28m35.174s cat fb.oryLat2.chainHg19Link.txt # 46961818 bases of 700386597 (6.705%) in intersection ############################################################################## # LASTZ Opossum MonDom5 (DONE - 2009-05-23,29 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzMonDom5.2009-05-23 cd /hive/data/genomes/hg19/bed/lastzMonDom5.2009-05-23 cat << '_EOF_' > DEF # human vs. opossum # settings for more distant organism alignments BLASTZ_Y=3400 BLASTZ_L=6000 BLASTZ_K=2200 BLASTZ_M=50 BLASTZ_Q=/scratch/data/blastz/HoxD55.q # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 SEQ1_LIMIT=5 # QUERY: Opossum monDom5 SEQ2_DIR=/scratch/data/monDom5/monDom5.2bit SEQ2_LEN=/hive/data/genomes/monDom5/chrom.sizes SEQ2_CHUNK=30000000 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzMonDom5.2009-05-23 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # establish a screen to control this job screen time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ > do.log 2>&1 & # One job took a long time to complete, had to run it manually on # swarm: # /cluster/bin/scripts/blastz-run-ucsc -outFormat psl \ # /scratch/data/hg19/hg19.2bit:chr19:50000000-59128983 \ # /scratch/data/monDom5/monDom5.2bit:chr4:390000000-420000000 \ # ../DEF \ # ../psl/hg19.2bit:chr19:50000000-59128983/hg19.2bit:chr19:50000000-59128983_monDom5.2bit:chr4:390000000-420000000.psl # took about 48 hours, continuing: time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ -continue=cat > cat.log 2>&1 & # real 1508m18.471s == about 25h08m cat fb.hg19.chainMonDom5Link.txt # 415997117 bases of 2897316137 (14.358%) in intersection time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ -continue=syntenicNet -syntenicNet > syntenicNet.log 2>&1 & # real 20m29.049s mkdir /hive/data/genomes/monDom5/bed/blastz.hg19.swap cd /hive/data/genomes/monDom5/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzMonDom5.2009-05-23/DEF \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ -swap -syntenicNet > swap.log 2>&1 & # real 297m13.041s cat fb.monDom5.chainHg19Link.txt # 406727849 bases of 3501660299 (11.615%) in intersection ############################################################################## # LASTZ Armadillo DasNov2 (DONE - 2009-05-23,28 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzDasNov2.2009-05-23 cd /hive/data/genomes/hg19/bed/lastzDasNov2.2009-05-23 cat << '_EOF_' > DEF # Human vs. Armadillo BLASTZ_M=50 # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 SEQ1_LIMIT=5 # QUERY: Armadillo SEQ2_DIR=/scratch/data/dasNov2/dasNov2.2bit SEQ2_LEN=/scratch/data/dasNov2/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LIMIT=100 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzDasNov2.2009-05-23 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # establish a screen to control this job screen time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -noLoadChainSplit -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=pk \ > do.log 2>&1 & # finished the lastz run manually after hive maintenance outages # then, continuing: time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -noLoadChainSplit -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=pk \ -continue=cat > cat.log 2>&1 & # real 458m11.304s cat fb.hg19.chainDasNov2Link.txt # 971847303 bases of 2897316137 (33.543%) in intersection time nice -n +19 doRecipBest.pl -buildDir=`pwd` hg19 dasNov2 \ > rbest.log 2>&1 # time about 6h30m ############################################################################## # LASTZ Rock Hyrax ProCap1 (DONE - 2009-05-23,26 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzProCap1.2009-05-23 cd /hive/data/genomes/hg19/bed/lastzProCap1.2009-05-23 cat << '_EOF_' > DEF # Human vs. Rock Hyrax BLASTZ_M=50 # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 SEQ1_LIMIT=5 # QUERY: Rock Hyrax SEQ2_DIR=/scratch/data/proCap1/proCap1.2bit SEQ2_LEN=/scratch/data/proCap1/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LIMIT=100 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzProCap1.2009-05-23 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # establish a screen to control this job screen time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -noLoadChainSplit -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ > do.log 2>&1 & # Completed: 997438 of 997438 jobs # CPU time in finished jobs: 32830587s 547176.45m 9119.61h 379.98d 1.041 y # IO & Wait Time: 9549484s 159158.07m 2652.63h 110.53d 0.303 y # Average job time: 42s 0.71m 0.01h 0.00d # Longest finished job: 1953s 32.55m 0.54h 0.02d # Submission to last job: 67216s 1120.27m 18.67h 0.78d # finished lastz run manually, then continuing: time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -noLoadChainSplit -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ -continue=cat > cat.log 2>&1 & # real 369m1.678s cat fb.hg19.chainProCap1Link.txt # 894221652 bases of 2897316137 (30.864%) in intersection time nice -n +19 doRecipBest.pl -buildDir=`pwd` hg19 proCap1 \ > rbest.log 2>&1 # real 251m59.549s ############################################################################## # LASTZ Zebra Finch TaeGut1 (DONE - 2009-05-26 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzTaeGut1.2009-05-26 cd /hive/data/genomes/hg19/bed/lastzTaeGut1.2009-05-26 cat << '_EOF_' > DEF # human vs Zebra Finch # distant from Human settings BLASTZ_H=2000 BLASTZ_Y=3400 BLASTZ_L=10000 BLASTZ_K=2200 BLASTZ_Q=/scratch/data/blastz/HoxD55.q # TARGET: Human hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Zebra Finch taeGut1 - single chunk big enough to run entire chrom SEQ2_DIR=/scratch/data/taeGut1/taeGut1.2bit SEQ2_LEN=/scratch/data/taeGut1/chrom.sizes SEQ2_CTGDIR=/hive/data/genomes/taeGut1/taeGut1.blastz.2bit SEQ2_CTGLEN=/hive/data/genomes/taeGut1/taeGut1.blastz.sizes SEQ2_LIFT=/hive/data/genomes/taeGut1/jkStuff/liftAll.lft SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=100 BASE=/hive/data/genomes/hg19/bed/lastzTaeGut1.2009-05-26 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # establish a screen to control this job screen time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ -qRepeats=windowmaskerSdust > do.log 2>&1 & cat fb.hg19.chainTaeGut1Link.txt # real 192m48.479s # 101295490 bases of 2897316137 (3.496%) in intersection time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -syntenicNet -noLoadChainSplit -chainMinScore=5000 \ -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ -continue=syntenicNet -qRepeats=windowmaskerSdust > synNet.log 2>&1 & # real 4m10.261s # running the swap - DONE - 2009-06-02 mkdir /hive/data/genomes/taeGut1/bed/blastz.hg19.swap cd /hive/data/genomes/taeGut1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzTaeGut1.2009-05-26/DEF \ -swap -noLoadChainSplit -chainMinScore=5000 \ -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ -qRepeats=windowmaskerSdust > swap.log 2>&1 & # real real 16m45.080s cat fb.taeGut1.chainHg19Link.txt # 95320369 bases of 1222864691 (7.795%) in intersection ############################################################################## # LASTZ Lizard AnoCar1 (DONE - 2009-05-30,31 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzAnoCar1.2009-05-30 cd /hive/data/genomes/hg19/bed/lastzAnoCar1.2009-05-30 cat << '_EOF_' > DEF # human vs lizard BLASTZ_H=2000 BLASTZ_Y=3400 BLASTZ_L=6000 BLASTZ_K=2200 BLASTZ_Q=/scratch/data/blastz/HoxD55.q # TARGET: Human hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Lizard anoCar1 SEQ2_DIR=/scratch/data/anoCar1/anoCar1.2bit SEQ2_LEN=/scratch/data/anoCar1/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=50 BASE=/hive/data/genomes/hg19/bed/lastzAnoCar1.2009-05-30 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # establish a screen to control this job screen time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -qRepeats=windowmaskerSdust > do.log 2>&1 & # real 168m32.016s cat fb.hg19.chainAnoCar1Link.txt # 104045950 bases of 2897316137 (3.591%) in intersection time doRecipBest.pl -buildDir=`pwd` hg19 anoCar1 > rbest.log 2>&1 # real 45m58.001s # running syntenic Net 2009-08-27 - Hiram time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -continue=syntenicNet -syntenicNet \ -qRepeats=windowmaskerSdust > syntenicNet.log 2>&1 & # real 6m13.304s # running the swap - DONE - 2009-06-02 mkdir /hive/data/genomes/anoCar1/bed/blastz.hg19.swap cd /hive/data/genomes/anoCar1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzAnoCar1.2009-05-30/DEF \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -swap -qRepeats=windowmaskerSdust > swap.log 2>&1 & # real 34m55.857s cat fb.anoCar1.chainHg19Link.txt # 89608316 bases of 1741478929 (5.146%) in intersection ############################################################################## # LASTZ X. tropicalis XenTro2 (DONE - 2009-05-26 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzXenTro2.2009-05-26 cd /hive/data/genomes/hg19/bed/lastzXenTro2.2009-05-26 cat << '_EOF_' > DEF # human vs X. tropicalis BLASTZ_H=2000 BLASTZ_Y=3400 BLASTZ_L=6000 BLASTZ_K=2200 BLASTZ_Q=/scratch/data/blastz/HoxD55.q # TARGET: Human hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Lizard anoCar1 SEQ2_DIR=/scratch/data/xenTro2/xenTro2.2bit SEQ2_LEN=/scratch/data/xenTro2/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=100 BASE=/hive/data/genomes/hg19/bed/lastzXenTro2.2009-05-26 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # establish a screen to control this job screen time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ > do.log 2>&1 & # real 1129m11.568s # finished the lastz run manually after hive difficulties, continuing: time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -continue=cat > cat.log 2>&1 & # time about 1h30m cat fb.hg19.chainXenTro2Link.txt # 92015242 bases of 2897316137 (3.176%) in intersection # running the swap - DONE - 2009-06-02 mkdir /hive/data/genomes/xenTro2/bed/blastz.hg19.swap cd /hive/data/genomes/xenTro2/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzXenTro2.2009-05-26/DEF \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -swap > swap.log 2>&1 & # real 130m53.860s cat fb.xenTro2.chainHg19Link.txt # 92070065 bases of 1359412157 (6.773%) in intersection ############################################################################## # LASTZ Zebrafish DanRer5 (DONE - 2009-05-26 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzDanRer5.2009-05-26 cd /hive/data/genomes/hg19/bed/lastzDanRer5.2009-05-26 cat << '_EOF_' > DEF # human vs X. zebrafish BLASTZ_H=2000 BLASTZ_Y=3400 BLASTZ_L=6000 BLASTZ_K=2200 BLASTZ_Q=/scratch/data/blastz/HoxD55.q # TARGET: Human hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Zebrafish danRer5 SEQ2_DIR=/scratch/data/danRer5/danRer5.2bit SEQ2_LEN=/scratch/data/danRer5/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=40 BASE=/hive/data/genomes/hg19/bed/lastzDanRer5.2009-05-26 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # establish a screen to control this job screen time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ > do.log 2>&1 & # real 311m39.817s cat fb.hg19.chainDanRer5Link.txt # 74229561 bases of 2897316137 (2.562%) in intersection # running the swap - DONE - 2009-06-02 mkdir /hive/data/genomes/danRer5/bed/blastz.hg19.swap cd /hive/data/genomes/danRer5/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzDanRer5.2009-05-26/DEF \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -swap > swap.log 2>&1 & # real 26m54.605s cat fb.danRer5.chainHg19Link.txt # 73852780 bases of 1435609608 (5.144%) in intersection ############################################################################## # LASTZ Platypus OrnAna1 (DONE - 2009-05-26 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzOrnAna1.2009-05-26 cd /hive/data/genomes/hg19/bed/lastzOrnAna1.2009-05-26 cat << '_EOF_' > DEF # human vs platypus BLASTZ_H=2000 BLASTZ_Y=3400 BLASTZ_L=6000 BLASTZ_K=2200 BLASTZ_Q=/scratch/data/blastz/HoxD55.q # TARGET: Human hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Platypus ornAna1 SEQ2_DIR=/scratch/data/ornAna1/ornAna1.2bit SEQ2_LEN=/scratch/data/ornAna1/chrom.sizes SEQ2_CHUNK=40000000 SEQ2_LIMIT=400 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzOrnAna1.2009-05-26 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # establish a screen to control this job screen time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ > do.log 2>&1 & # real 572m18.808s cat fb.hg19.chainOrnAna1Link.txt # 220977689 bases of 2897316137 (7.627%) in intersection time doRecipBest.pl -buildDir=`pwd` hg19 ornAna1 > rbest.log 2>&1 # time about 1h32m # running the swap - DONE - 2009-06-02 mkdir /hive/data/genomes/ornAna1/bed/blastz.hg19.swap cd /hive/data/genomes/ornAna1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzOrnAna1.2009-05-26/DEF \ -swap -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ > swap.log 2>&1 & # real 146m52.638s cat fb.ornAna1.chainHg19Link.txt # 207415519 bases of 1842236818 (11.259%) in intersection ############################################################################## # LASTZ Elephant LoxAfr2 (DONE - 2009-05-27,29 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzLoxAfr2.2009-05-27 cd /hive/data/genomes/hg19/bed/lastzLoxAfr2.2009-05-27 cat << '_EOF_' > DEF # Human vs. Elephant BLASTZ_M=50 # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Elephant SEQ2_DIR=/scratch/data/loxAfr2/loxAfr2.2bit SEQ2_LEN=/scratch/data/loxAfr2/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LIMIT=300 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzLoxAfr2.2009-05-27 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # establish a screen to control this job screen time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -noLoadChainSplit -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ > do.log 2>&1 & # time about 3h23m cat fb.hg19.chainLoxAfr2Link.txt # 1018502258 bases of 2897316137 (35.153%) in intersection time doRecipBest.pl -buildDir=`pwd` hg19 loxAfr2 > rbest.log 2>&1 # real 322m37.502s ############################################################################## # LASTZ Tenrec EchTel1 (DONE - 2009-05-27 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzEchTel1.2009-05-27 cd /hive/data/genomes/hg19/bed/lastzEchTel1.2009-05-27 cat << '_EOF_' > DEF # Human vs. Tenrec BLASTZ_M=50 # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Tenrec SEQ2_DIR=/scratch/data/echTel1/echTel1.2bit SEQ2_LEN=/scratch/data/echTel1/chrom.sizes SEQ2_CHUNK=30000000 SEQ2_LIMIT=400 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzEchTel1.2009-05-27 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # establish a screen to control this job screen time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -noLoadChainSplit -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ > do.log 2>&1 & # real 1153m34.595s cat fb.hg19.chainEchTel1Link.txt # 669856841 bases of 2897316137 (23.120%) in intersection time doRecipBest.pl -buildDir=`pwd` hg19 echTel1 > rbest.log 2>&1 # time about 7h13m ############################################################################## # LASTZ Tree Shrew TupBel1 (DONE - 2009-05-27,06-02 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzTupBel1.2009-05-27 cd /hive/data/genomes/hg19/bed/lastzTupBel1.2009-05-27 cat << '_EOF_' > DEF # Human vs. Tree Shrew BLASTZ_M=50 # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Tree Shrew SEQ2_DIR=/scratch/data/tupBel1/tupBel1.2bit SEQ2_LEN=/scratch/data/tupBel1/chrom.sizes SEQ2_CHUNK=30000000 SEQ2_LIMIT=400 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzTupBel1.2009-05-27 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # establish a screen to control this job screen time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -noLoadChainSplit -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=pk \ > do.log 2>&1 & # real 811m54.095s # having trouble with pk, finished manually # XXX there is one job that is taking forever ... # finished it in pieces on swarm in a few minutes, like this: mkdir /hive/data/genomes/hg19/bed/lastzTupBel1.2009-05-27/run.blastz/lastJob cd /hive/data/genomes/hg19/bed/lastzTupBel1.2009-05-27/run.blastz/lastJob #!/bin/sh S=100000000 E=101010000 export S E for I in 0 1 2 3 4 5 6 7 8 9 do echo $S $E /usr/bin/time -p /cluster/bin/scripts/blastz-run-ucsc -outFormat psl \ /scratch/data/hg19/nib/chr1.nib:chr1:${S}-${E} ../qParts/part019.lst \ ../../DEF psl/chr1.nib:chr1:${S}-${E}_part019.lst.psl nextS=`echo $S | awk '{printf "%d", $1 + 1000000}'` nextE=`echo $E | awk '{printf "%d", $1 + 1000000}'` S=$nextS E=$nextE done grep -h "^#" psl/chr* | sort -u > result.psl grep -h -v "^#" psl/chr* | sort -k14,14 -k16,16n >> result.psl cp -p result.psl \ ../../psl/chr1.nib:chr1:100000000-110010000/chr1.nib:chr1:100000000-110010000_part019.lst.psl # then, continuing: time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -noLoadChainSplit -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=pk \ -continue=cat > cat.log 2>&1 & # real 212m22.707s time doRecipBest.pl -buildDir=`pwd` hg19 tupBel1 > rbest.log 2>&1 # time about 4h22m # and for the swap (DONE - 2013-07-01 - Hiram) mkdir /hive/data/genomes/tupBel1/bed/blastz.hg19.swap cd /hive/data/genomes/tupBel1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzTupBel1.2009-05-27/DEF \ -swap -chainMinScore=3000 -chainLinearGap=medium \ -qRepeats=windowmaskerSdust \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ > swap.log 2>&1 & # real 176m50.225s cat fb.tupBel1.chainHg19Link.txt # 1058143640 bases of 2137225476 (49.510%) in intersection cd /hive/data/genomes/tupBel1/bed ln -s blastz.hg19.swap lastz.hg19 ############################################################################## # LASTZ Shrew SorAra1 (DONE - 2009-05-28,30 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzSorAra1.2009-05-28 cd /hive/data/genomes/hg19/bed/lastzSorAra1.2009-05-28 cat << '_EOF_' > DEF # Human vs. Shrew BLASTZ_M=50 # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Shrew SEQ2_DIR=/scratch/data/sorAra1/sorAra1.2bit SEQ2_LEN=/scratch/data/sorAra1/chrom.sizes SEQ2_CHUNK=30000000 SEQ2_LIMIT=400 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzSorAra1.2009-05-28 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # establish a screen to control this job screen time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -noLoadChainSplit -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ > do.log 2>&1 & # time about 23h26m cat fb.hg19.chainSorAra1Link.txt # 572519288 bases of 2897316137 (19.760%) in intersection time doRecipBest.pl -buildDir=`pwd` hg19 sorAra1 > rbest.log 2>&1 # real 251m20.055s ############################################################################## # LASTZ Rabbit OryCun1 (DONE - 2009-05-28,30 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzOryCun1.2009-05-28 cd /hive/data/genomes/hg19/bed/lastzOryCun1.2009-05-28 cat << '_EOF_' > DEF # Human vs. Rabbit BLASTZ_M=50 # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Rabbit SEQ2_DIR=/scratch/data/oryCun1/oryCun1.2bit SEQ2_LEN=/scratch/data/oryCun1/chrom.sizes SEQ2_CHUNK=30000000 SEQ2_LIMIT=400 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzOryCun1.2009-05-28 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # establish a screen to control this job screen time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -noLoadChainSplit -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ > do.log 2>&1 & # time about 23h09m cat fb.hg19.chainOryCun1Link.txt # 975693323 bases of 2897316137 (33.676%) in intersection time doRecipBest.pl -buildDir=`pwd` hg19 oryCun1 > rbest.log 2>&1 # real 318m1.142s ############################################################################## # LASTZ Hedgehog EriEur1 (DONE - 2009-05-28,30 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzEriEur1.2009-05-28 cd /hive/data/genomes/hg19/bed/lastzEriEur1.2009-05-28 cat << '_EOF_' > DEF # Human vs. Hedgehog BLASTZ_M=50 # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Hedgehog SEQ2_DIR=/scratch/data/eriEur1/eriEur1.2bit SEQ2_LEN=/scratch/data/eriEur1/chrom.sizes SEQ2_CHUNK=40000000 SEQ2_LIMIT=500 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzEriEur1.2009-05-28 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # establish a screen to control this job screen time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -noLoadChainSplit -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=pk \ > do.log 2>&1 & # real 2043m33.198s cat fb.hg19.chainEriEur1Link.txt # 560965051 bases of 2897316137 (19.362%) in intersection time doRecipBest.pl -buildDir=`pwd` hg19 eriEur1 > rbest.log 2>&1 # real 350m17.737s ############################################################################## # LASTZ Pika OchPri2 (DONE - 2009-05-29,30 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzOchPri2.2009-05-29 cd /hive/data/genomes/hg19/bed/lastzOchPri2.2009-05-29 cat << '_EOF_' > DEF # Human vs. Pika BLASTZ_M=50 # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Pika SEQ2_DIR=/scratch/data/ochPri2/ochPri2.2bit SEQ2_LEN=/scratch/data/ochPri2/chrom.sizes SEQ2_CHUNK=40000000 SEQ2_LIMIT=400 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzOchPri2.2009-05-29 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # establish a screen to control this job screen time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -noLoadChainSplit -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ > do.log 2>&1 & # real 393m42.569s cat fb.hg19.chainOchPri2Link.txt # 804516397 bases of 2897316137 (27.768%) in intersection time doRecipBest.pl -buildDir=`pwd` hg19 ochPri2 > rbest.log 2>&1 # real 224m47.979s ############################################################################## # LASTZ Kangaroo Rat DipOrd1 (DONE - 2009-05-29,30 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzDipOrd1.2009-05-29 cd /hive/data/genomes/hg19/bed/lastzDipOrd1.2009-05-29 cat << '_EOF_' > DEF # Human vs. Kangaroo Rat BLASTZ_M=50 # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Kangaroo Rat SEQ2_DIR=/scratch/data/dipOrd1/dipOrd1.2bit SEQ2_LEN=/scratch/data/dipOrd1/chrom.sizes SEQ2_CHUNK=30000000 SEQ2_LIMIT=300 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzDipOrd1.2009-05-29 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # establish a screen to control this job screen time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -noLoadChainSplit -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ > do.log 2>&1 & # real 688m47.595s time doRecipBest.pl -buildDir=`pwd` hg19 dipOrd1 > rbest.log 2>&1 # real 140m42.014s ############################################################################## # LIFTOVER TO Hg18 (DONE - 2009-06-04 - Hiram ) mkdir /hive/data/genomes/hg19/bed/blat.hg18.2009-06-04 cd /hive/data/genomes/hg19/bed/blat.hg18.2009-06-04 # -debug run to create run dir, preview scripts... # verifies files can be found doSameSpeciesLiftOver.pl -debug hg19 hg18 # Real run: time nice -n +19 doSameSpeciesLiftOver.pl -verbose=2 \ -bigClusterHub=swarm -dbHost=hgwdev -workhorse=hgwdev \ hg19 hg18 > do.log 2>&1 # real 115m26.071s ############################################################################# # BLASTZ/CHAIN/NET/ETC 11 GENOMES TO HG19 (DONE, Andy 2009-06-06) ssh hgwdev cd /hive/data/genomes/hg19/bed mkdir lastz{SpeTri1,FelCat3,CavPor3,BosTau4,PteVam1,EquCab2,VicPac1,MyoLuc1,TurTru1,ChoHof1}.2009-06-04 ln -s lastzSpeTri1.2009-06-04 lastz.speTri1 ln -s lastzFelCat3.2009-06-04 lastz.felCat3 ln -s lastzCavPor3.2009-06-04 lastz.cavPor3 ln -s lastzBosTau4.2009-06-04 lastz.bosTau4 ln -s lastzPteVam1.2009-06-04 lastz.pteVam1 ln -s lastzEquCab2.2009-06-04 lastz.equCab2 ln -s lastzVicPac1.2009-06-04 lastz.vicPac1 ln -s lastzMyoLuc1.2009-06-04 lastz.myoLuc1 ln -s lastzTurTru1.2009-06-04 lastz.turTru1 ln -s lastzChoHof1.2009-06-04 lastz.choHof1 cat > lastz.speTri1/DEF << 'EOF' # human vs squirrel # TARGET: human hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: squirrel speTri1 SEQ2_DIR=/hive/data/genomes/speTri1/speTri1.2bit SEQ2_LEN=/hive/data/genomes/speTri1/chrom.sizes SEQ2_LIMIT=100 SEQ2_CHUNK=10000000 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastz.speTri1 TMPDIR=/scratch/tmp EOF sed 's/speTri1/felCat3/g; s/squirrel/cat/;' lastz.speTr1/DEF | \ sed 's/SEQ1_CHUNK=1/SEQ1_CHUNK=2/; s/SEQ2_LIMIT=1/SEQ2_LIMIT=3/' \ > lastz.felCat3/DEF sed 's/speTri1/cavPor3/g; s/squirrel/guinea pig/;' lastz.speTr1/DEF | \ sed 's/SEQ1_CHUNK=1/SEQ1_CHUNK=2/' | \ sed 's/hive\/data\/genomes\/cavPor3/scratch\/data\/cavPor3/' \ > lastz.cavPor3/DEF sed 's/speTri1/bosTau4/g; s/squirrel/cow/;' lastz.speTr1/DEF | \ sed 's/SEQ1_CHUNK=1/SEQ1_CHUNK=2/; s/SEQ2_LIMIT=1/SEQ2_LIMIT=3/' \ > lastz.bosTau4/DEF sed 's/speTri1/pteVam1/g; s/squirrel/megabat/;' lastz.speTr1/DEF | \ sed 's/SEQ1_CHUNK=1/SEQ1_CHUNK=2/; s/SEQ2_LIMIT=1/SEQ2_LIMIT=2/' \ > lastz.pteVam1/DEF sed 's/cavPor3/equCab2/g; s/guinea pig/horse/' lastz.cavPor3/DEF | \ sed 's/SEQ2_LIMIT=1/SEQ2_LIMIT=3/' > lastz.equCab2/DEF sed 's/equCab2/vicPac1/g; s/horse/alpaca/' lastz.equCab2/DEF > lastz.vicPac1/DEF sed 's/pteVam1/myoLuc1/g; s/megabat/microbat/' lastz.pteVam1/DEF | \ sed 's/SEQ2_LIMIT=3/SEQ2_LIMIT=2/' > lastz.myoLuc1/DEF sed 's/equCab2/turTru1/g; s/horse/dolphin/' lastz.equCab2/DEF | \ sed 's/SEQ2_LIMIT=3/SEQ2_LIMIT=2/' > lastz.turTru1/DEF sed 's/equCab2/choHof11/g; s/horse/sloth/' lastz.equCab2/DEF > lastz.choHof1/DEF cd andy/ for db in speTri1 felCat3 cavPor3 bosTau4 pteVam1 equCab2 vicPac1 myoLuc1 turTru1 choHof1; do ln -s ../lastz.${db}/DEF ${db}.DEF done screen -S speTri1 time nice -n +19 doBlastzChainNet.pl -verbose=2 -noLoadChainSplit \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ -chainMinScore=3000 -chainLinearGap=medium speTri1.DEF >& speTri1.do.log # [detach screen] #real 2059m30.699s screen -S felCat3 time nice -n +19 doBlastzChainNet.pl -verbose=2 -noLoadChainSplit \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ -chainMinScore=3000 -chainLinearGap=medium felCat3.DEF >& felCat3.do.log # [detach screen] #real 1574m47.522s screen -S bosTau4 time nice -n +19 doBlastzChainNet.pl -verbose=2 -noLoadChainSplit \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ -chainMinScore=3000 -chainLinearGap=medium bosTau4.DEF >& bosTau4.do.log # [detach screen] #real 1474m54.655s screen -S pteVam1 time nice -n +19 doBlastzChainNet.pl -verbose=2 -noLoadChainSplit \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm -chainMinScore=3000 -chainLinearGap=medium pteVam1.DEF >& pteVam1.do.log # [detach screen] #real 1168m33.923s screen -S equCab2 time nice -n +19 doBlastzChainNet.pl -verbose=2 -noLoadChainSplit \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ -chainMinScore=3000 -chainLinearGap=medium -syntenicNet equCab2.DEF >& equCab2.do.log # [detach screen] #real 1662m56.158s # (included syntenic net) screen -S vicPac1 time nice -n +19 doBlastzChainNet.pl -verbose=2 -noLoadChainSplit \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ -chainMinScore=3000 -chainLinearGap=medium vicPac1.DEF >& vicPac1.do.log # [detach screen] #real 1495m48.173s screen -S turTru1 time nice -n +19 doBlastzChainNet.pl -verbose=2 -noLoadChainSplit \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ -chainMinScore=3000 -chainLinearGap=medium turTru1.DEF >& turTru1.do.log # [detach screen] #real 1079m17.234s screen -S choHof1 time nice -n +19 doBlastzChainNet.pl -verbose=2 -noLoadChainSplit \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=pk \ -chainMinScore=3000 -chainLinearGap=medium choHof1.DEF >& choHof1.do.log # [detach screen] #real 1310m49.287s (script and cluster run stopped after halfway... # pk was too slow... remaining jobs started on swarm) time nice -n +19 doBlastzChainNet.pl -verbose=2 -noLoadChainSplit \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ -chainMinScore=3000 -chainLinearGap=medium -continue=cat \ choHof1.DEF >& choHof1.doAfterBlastz.log #real 257m32.701s screen -S cavPor3 time nice -n +19 doBlastzChainNet.pl -verbose=2 -noLoadChainSplit \ -workhorse=hgwdev -chainMinScore=3000 -chainLinearGap=medium \ -smallClusterHub=memk -bigClusterHub=pk cavPor3.DEF >& cavPor3.do.log # [detach screen] #real 1370m5.258s # TROUBLE! got to the 'load' step and failed. This one needs a special # chain table and chainLink table to get loaded. cd ../lastz.cavPor3/axtChain/ # figure out number of rows and average length wc -l *.tab # 27186468 chain.tab # 240602108 link.tab randomLines link.tab 10000000 stdout | awk '{print length($0)}' | sort | uniq -c randomLines chain.tab 1000000 stdout | awk '{print length($0)}' | sort | uniq -c # about 43 average length for the chainLink and 100 for the chain sed "s/hgLoadChain.*/hgsqldump hg19 chainSpeTri1Link --no-data --skip-comments | sed \'s\/SpeTri1\/CavPor3\/; s\/TYPE=MyISAM\/ENGINE=MyISAM max_rows=241000000 avg_row_length=43 pack_keys=1 CHARSET=latin1\/\' | hgsql hg19 \n\ hgsqldump hg19 chainSpeTri1 --no-data --skip-comments | sed \'s\/SpeTri1\/CavPor3\/; s\/TYPE=MyISAM\/ENGINE=MyISAM max_rows=27200000 avg_row_length=100 pack_keys=1 CHARSET=latin1\/\' | hgsql hg19 \n\ hgsql hg19 -e \"load data local infile \'chain.tab\' into table chainCavPor3\"\n\ hgsql hg19 -e \"load data local infile \'link.tab\' into table chainCavPor3Link\"\n\ hgsql hg19 -e \"INSERT into history (ix, startId, endId, who, what, modTime, errata) VALUES(NULL,0,0,\'aamp\',\'Loaded 27186468 chains into cavPor3 chain table manually\', NOW(), NULL)\"\ /" loadUp.csh > manualLoadUp.csh chmod +x manualLoadUp.csh time nice -n +19 ./manualLoadUp.csh # [detach screen] #real 584m4.093s cd ../../andy/ time nice -n +19 doBlastzChainNet.pl -verbose=2 -noLoadChainSplit \ -workhorse=hgwdev -chainMinScore=3000 -chainLinearGap=medium \ -smallClusterHub=memk -bigClusterHub=swarm -continue=download \ cavPor3.DEF >& cavPor3.doAfterLoad.log #real 5m45.122s # syntenic nets screen -r bosTau4 time nice -n +19 doBlastzChainNet.pl -verbose=2 -noLoadChainSplit \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ -chainMinScore=3000 -chainLinearGap=medium -syntenicNet \ -continue=syntenicNet bosTau4.DEF >& bosTau4.syn.log #real 31m48.545s # reciprocal best choHof1 and cavPor3 screen -r choHof1 time nice -n +19 doRecipBest.pl -buildDir=/hive/data/genomes/hg19/bed/lastz.choHof1 \ -workhorse=hgwdev hg19 choHof1 >& choHof1.doRecip.log #real 367m52.993s screen -r cavPor3 time nice -n +19 doRecipBest.pl -buildDir=/hive/data/genomes/hg19/bed/lastz.cavPor3 \ -workhorse=hgwdev hg19 cavPor3 >& cavPor3.doRecip.log #real 123m3.795s # reciprocal best small six genome memk run screen -S recipRun mkdir recipRun cd recipRun/ cat > gsub << 'EOF' #LOOP ./doRecip.sh $(path1) #ENDLOOP 'EOF' cat > doRecip.sh << 'EOF' #!/bin/csh -ef set db = $1 /cluster/bin/scripts/doRecipBest.pl -workhorse=`uname -n` -stop=recipBest -buildDir=/hive/data/genomes/hg19/bed/lastz.$db hg19 $db >& $db.recipBest.log 'EOF' chmod +x doRecip.sh cat > db.lst << 'EOF' speTri1 vicPac1 myoLuc1 turTru1 pteVam1 felCat3 EOF ssh memk cd /hive/data/genomes/hg19/bed/andy/recipRun gensub2 db.lst single gsub jobList para create jobList para push # finished overnight exit # to hgwdev for log in *.recipBest.log; do db=${log%.recipBest.log}; echo $db; doRecipBest.pl -workhorse=hgwdev -continue=download \ -buildDir=/hive/data/genomes/hg19/bed/lastz.$db \ hg19 $db >& $db.recipBestDownload.log; done # swaps for equCab2, felCat3, bostTau4, cavPor3 cd /hive/data/genomes/hg19/bed/andy screen -r equCab2 time nice -n +19 doBlastzChainNet.pl -verbose=2 -noLoadChainSplit -workhorse=kkr14u01 \ -chainMinScore=3000 -chainLinearGap=medium -swap equCab2.DEF >& equCab2.doSwap.log # [detach screen] #real 486m35.206s screen -r felCat3 time nice -n +19 doBlastzChainNet.pl -verbose=2 -noLoadChainSplit -workhorse=kkr14u02 \ -chainMinScore=3000 -chainLinearGap=medium -swap felCat3.DEF >& felCat3.doSwap.log # [detach screen] #real 463m5.257s screen -r bosTau4 time nice -n +19 doBlastzChainNet.pl -verbose=2 -noLoadChainSplit -workhorse=kkr14u03 \ -chainMinScore=3000 -chainLinearGap=medium -swap bosTau4.DEF >& bosTau4.doSwap.log # [detach screen] #real 391m40.132s screen -r cavPor3 time nice -n +19 doBlastzChainNet.pl -verbose=2 -noLoadChainSplit -workhorse=hgwdev -chainMinScore=3000 -chainLinearGap=medium -swap cavPor3.DEF >& cavPor3.doSwap.log # [detach screen] real 192m39.792s ########################################################################## # lastz Megabat/pteVam1 swap (DONE - 2013-07-05 - Hiram) # original alignment cd /hive/data/genomes/hg19/bed/lastzPteVam1.2009-06-04 cat fb.hg19.chainPteVam1Link.txt # 1315799940 bases of 2897316137 (45.414%) in intersection # and this swap: mkdir /hive/data/genomes/pteVam1/bed/blastz.hg19.swap cd /hive/data/genomes/pteVam1/bed/blastz.hg19.swap time doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzPteVam1.2009-06-04/DEF \ -syntenicNet -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=encodek \ -swap > swap.log 2>&1 # real 131m15.526s cat fb.pteVam1.chainHg19Link.txt # 1281818029 bases of 1839436660 (69.685%) in intersection cd /hive/data/genomes/pteVam1/bed ln -s blastz.hg19.swap lastz.hg19 ########################################################################## # lastz Sloth/choHof1 swap (DONE - 2013-07-05 - Hiram) # original alignment cd /hive/data/genomes/hg19/bed/lastzChoHof1.2009-06-04 cat fb.hg19.chainChoHof1Link.txt # 996000365 bases of 2897316137 (34.377%) in intersection # and this swap: mkdir /hive/data/genomes/choHof1/bed/blastz.hg19.swap cd /hive/data/genomes/choHof1/bed/blastz.hg19.swap time doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzChoHof1.2009-06-04/DEF \ -syntenicNet -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=encodek \ -swap > swap.log 2>&1 # real 844m59.111s cat fb.choHof1.chainHg19Link.txt # 1013601302 bases of 2060419685 (49.194%) in intersection cd /hive/data/genomes/choHof1/bed ln -s blastz.hg19.swap lastz.hg19 ########################################################################## # lastz Rock hyrax/proCap1 swap (DONE - 2013-07-05 - Hiram) # original alignment cd /hive/data/genomes/hg19/bed/lastzProCap1.2009-05-23 cat fb.hg19.chainProCap1Link.txt # 894221652 bases of 2897316137 (30.864%) in intersection # and this swap: mkdir /hive/data/genomes/proCap1/bed/blastz.hg19.swap cd /hive/data/genomes/proCap1/bed/blastz.hg19.swap time doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzProCap1.2009-05-23/DEF \ -syntenicNet -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -swap > swap.log 2>&1 # real 346m15.361s cat fb.proCap1.chainHg19Link.txt # 865681626 bases of 2407847681 (35.953%) in intersection cd /hive/data/genomes/proCap1/bed ln -s blastz.hg19.swap lastz.hg19 ########################################################################## # lastz Kangaroo rat/dipOrd1 swap (DONE - 2013-07-05 - Hiram) # original alignment cd /hive/data/genomes/hg19/bed/lastzDipOrd1.2009-05-29 cat fb.hg19.chainDipOrd1Link.txt # 786938637 bases of 2897316137 (27.161%) in intersection # and this swap: mkdir /hive/data/genomes/dipOrd1/bed/blastz.hg19.swap cd /hive/data/genomes/dipOrd1/bed/blastz.hg19.swap time doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzDipOrd1.2009-05-29/DEF \ -syntenicNet -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -swap > swap.log 2>&1 # about 2 hours time doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzDipOrd1.2009-05-29/DEF \ -continue=download -syntenicNet -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -swap > download.log 2>&1 # real 27m35.952s cat fb.dipOrd1.chainHg19Link.txt # 776300419 bases of 1844961421 (42.077%) in intersection cd /hive/data/genomes/dipOrd1/bed ln -s blastz.hg19.swap lastz.hg19 ########################################################################## # LASTZ Venter's Poodle canFamPoodle1 (DONE - 2009-06-05,10 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzCanFamPoodle1.2009-06-05 cd /hive/data/genomes/hg19/bed/lastzCanFamPoodle1.2009-06-05 cat << '_EOF_' > DEF # human vs Venter's poodle # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Dog CanFam2 SEQ2_DIR=/scratch/data/canFamPoodle1/canFamPoodle1.2bit SEQ2_LEN=/scratch/data/canFamPoodle1/chrom.sizes SEQ2_CHUNK=40000000 SEQ2_LAP=0 SEQ2_LIMIT=600 BASE=/hive/data/genomes/hg19/bed/lastzCanFamPoodle1.2009-06-05 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # establish a screen to control this job screen time nice -n +19 doBlastzChainNet.pl \ -verbose=2 \ `pwd`/DEF \ -noDbNameCheck -noLoadChainSplit \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ -chainMinScore=3000 -chainLinearGap=medium # real 5162m58.743s cat fb.hg19.chainCanFamPoodle1Link.txt # 898034247 bases of 2897316137 (30.995%) in intersection # the original canFam2 measured: # 1532073507 bases of 2897316137 (52.879%) in intersection time nice -n +19 doRecipBest.pl -buildDir=`pwd` \ hg19 canFamPoodle1 > rbest.log 2>&1 & # real 811m27.965s ############################################################################## ## 46-Way Multiz (DONE - 2009-06-09,2009-11-10 - Hiram) mkdir /hive/data/genomes/hg19/bed/multiz46way cd /hive/data/genomes/hg19/bed/multiz46way # starting with the 46way tree created from 44 way tree cat << '_EOF_' > 46way.nh ((((((((((((((((( ((hg19:0.006591,panTro2:0.006639):0.002184,gorGor1:0.009411):0.009942, ponAbe2:0.018342):0.014256,rheMac2:0.036199):0.021496,papHam1:0.04):0.02, calJac1:0.066389):0.056911,tarSyr1:0.135169):0.011307, (micMur1:0.091452,otoGar1:0.128984):0.035463):0.015304, tupBel1:0.183583):0.004688,(((((mm9:0.083220,rn4:0.090564):0.196605, dipOrd1:0.209532):0.022555,cavPor3:0.223415):0.009828, speTri1:0.146894):0.025042, (oryCun2:0.116009,ochPri2:0.198295):0.100037):0.015355):0.020666, (((vicPac1:0.105252,(turTru1:0.064182,bosTau4:0.121911):0.025111):0.039691, ((equCab2:0.107726,(felCat3:0.097971,canFam2:0.100888):0.049486):0.006252, (myoLuc1:0.141155,pteVam1:0.111787):0.033187):0.004179):0.011699, (eriEur1:0.220580,sorAra1:0.266859):0.056117):0.021065):0.023276, (((loxAfr3:0.083775,proCap1:0.152633):0.026190,echTel1:0.240221):0.049905, (dasNov2:0.115179,choHof1:0.096272):0.052373):0.006713):0.132748, macEug1:0.3):0.1, monDom5:0.325899):0.072430,ornAna1:0.453916):0.109903, ((galGal3:0.166386,taeGut1:0.170717):0.199763, anoCar1:0.509545):0.108130):0.166150,xenTro2:0.852482):0.300396, (((tetNig2:0.224774,fr2:0.205294):0.191836, (gasAcu1:0.313967,oryLat2:0.478451):0.058404):0.322824, danRer6:0.731166):0.155214):0.511293,petMar1:0.511293); '_EOF_' # << happy emacs # Use this specification in the phyloGif tool: # http://genome.ucsc.edu/cgi-bin/phyloGif # to obtain a gif image for htdocs/images/phylo/hg19_46way.gif /cluster/bin/phast/all_dists 46way.nh > 46way.distances.txt # Use this output to create the table below, with this perl script: cat << '_EOF_' > sizeStats.pl #!/usr/bin/env perl use strict; use warnings; open (FH, "grep -y hg19 46way.distances.txt | sort -k3,3n|") or die "can not read 46way.distances.txt"; my $count = 0; while (my $line = <FH>) { chomp $line; my ($hg19, $D, $dist) = split('\s+', $line); my $chain = "chain" . ucfirst($D); my $B="/hive/data/genomes/hg19/bed/lastz.$D/fb.hg19." . $chain . "Link.txt"; my $chainLinkMeasure = `awk '{print \$5}' ${B} 2> /dev/null | sed -e "s/(//; s/)//"`; chomp $chainLinkMeasure; $chainLinkMeasure = 0.0 if (length($chainLinkMeasure) < 1); $chainLinkMeasure =~ s/\%//; my $swapFile="/hive/data/genomes/${D}/bed/blastz.hg19.swap/fb.${D}.chainHg19Link.txt"; my $swapMeasure = "N/A"; if ( -s $swapFile ) { $swapMeasure = `awk '{print \$5}' ${swapFile} 2> /dev/null | sed -e "s/(//; s/)//"`; chomp $swapMeasure; $swapMeasure = 0.0 if (length($swapMeasure) < 1); $swapMeasure =~ s/\%//; } my $orgName= `hgsql -N -e "select organism from dbDb where name='$D';" hgcentraltest`; chomp $orgName; if (length($orgName) < 1) { $orgName="N/A"; } ++$count; if ($swapMeasure eq "N/A") { printf "# %02d %.4f - %s %s\t(%% %.3f) (%s)\n", $count, $dist, $orgName, $D, $chainLinkMeasure, $swapMeasure } else { printf "# %02d %.4f - %s %s\t(%% %.3f) (%% %.3f)\n", $count, $dist, $orgName, $D, $chainLinkMeasure, $swapMeasure } } close (FH); '_EOF_' # << happy emacs chmod +x ./sizeStats.pl ./sizeStats.pl # # If you can fill in all the numbers in this table, you are ready for # the multiple alignment procedure # # featureBits chainLink measures # chainOryLat1Link chain linearGap # distance on hg19 on other minScore # 01 0.0132 - Chimp panTro2 (% 94.846) (% 94.908) # 02 0.0182 - Gorilla gorGor1 (% 59.484) (N/A) # 03 0.0371 - Orangutan ponAbe2 (% 91.350) (% 89.617) # 04 0.0692 - Rhesus rheMac2 (% 82.744) (% 87.422) # 05 0.0945 - Baboon papHam1 (% 82.810) (N/A) # 06 0.1409 - Marmoset calJac1 (% 70.860) (% 71.897) # 07 0.2665 - Tarsier tarSyr1 (% 47.830) (N/A) # 08 0.2696 - Mouse lemur micMur1 (% 46.519) (N/A) # 09 0.3071 - Bushbaby otoGar1 (% 43.644) (N/A) # 10 0.3343 - Horse equCab2 (% 57.050) (% 66.774) # 11 0.3416 - TreeShrew tupBel1 (% 36.156) (N/A) # 12 0.3451 - Dolphin turTru1 (% 48.398) (N/A) # 13 0.3500 - Squirrel speTri1 (% 35.713) (N/A) # 14 0.3611 - Alpaca vicPac1 (% 39.399) (N/A) # 15 0.3620 - Sloth choHof1 (% 34.377) (N/A) # 16 0.3653 - Megabat pteVam1 (% 45.414) (N/A) # 17 0.3732 - Elephant loxAfr3 (% 46.636) (% 42.430) # 18 0.3740 - Cat felCat3 (% 35.713) (% 61.104) # 19 0.3769 - Dog canFam2 (% 52.879) (% 62.055) # 20 0.3809 - Armadillo dasNov2 (% 33.543) (N/A) # 21 0.3941 - Rabbit oryCun2 (% 44.317) (58.405) # 22 0.3946 - Microbat myoLuc1 (% 33.174) (N/A) # 23 0.4028 - Cow bosTau4 (% 46.506) (% 50.297) # 24 0.4363 - Guinea Pig cavPor3 (% 43.680) (N/A) # 25 0.4421 - Rock hyrax proCap1 (% 30.864) (N/A) # 26 0.4450 - Kangaroo rat dipOrd1 (% 27.161) (N/A) # 27 0.4764 - Pika ochPri2 (% 27.768) (N/A) # 28 0.4811 - Hedgehog eriEur1 (% 19.362) (N/A) # 29 0.5035 - Tenrec echTel1 (% 23.120) (N/A) # 30 0.5153 - Mouse mm9 (% 35.299) (% 38.693) # 31 0.5226 - Rat rn4 (% 32.879) (% 36.860) # 32 0.5274 - Shrew sorAra1 (% 19.760) (N/A) # 33 0.6394 - Wallaby macEug1 (% 6.011) (N/A) # 34 0.7653 - Opossum monDom5 (% 14.358) (N/A) # 35 0.9657 - Platypus ornAna1 (% 7.627) (% 11.259) # 36 1.0960 - Chicken galGal3 (% 3.591) (% 8.786) # 37 1.1003 - Zebra finch taeGut1 (% 3.496) (% 7.795) # 38 1.2394 - Lizard anoCar1 (% 3.591) (% 5.146) # 39 1.6403 - X. tropicalis xenTro2 (% 3.176) (% 6.773) # 40 1.9387 - Stickleback gasAcu1 (% 1.916) (% 11.175) # 41 1.9634 - Fugu fr2 (% 1.702) (% 10.929) # 42 1.9746 - Zebrafish danRer6 (% 3.051) (% 6.399) # 43 1.9829 - Tetraodon tetNig2 (% 1.712) (% 14.194) # 44 2.1031 - Medaka oryLat2 (% 1.849) (% 6.705) # 45 2.1108 - Lamprey petMar1 (% 1.082) (% 3.200) # create species list and stripped down tree for autoMZ sed 's/[a-z][a-z]*_//g; s/:[0-9\.][0-9\.]*//g; s/;//; /^ *$/d' \ 46way.nh > tmp.nh echo `cat tmp.nh` > tree-commas.nh echo `cat tree-commas.nh` | sed 's/ //g; s/,/ /g' > tree.nh sed 's/[()]//g; s/,/ /g' tree.nh > species.list cd /hive/data/genomes/hg19/bed/multiz46way # bash shell syntax here ... export H=/hive/data/genomes/hg19/bed mkdir mafLinks for G in `sed -e "s/hg19 //" species.list` do mkdir mafLinks/$G if [ -s ${H}/lastz.${G}/mafRBestNet/chr1.maf.gz ]; then echo "$G - recipBest" ln -s ${H}/lastz.$G/mafRBestNet/*.maf.gz ./mafLinks/$G else if [ -s ${H}/lastz.${G}/mafSynNet/chr1.maf.gz ]; then echo "$G - synNet" ln -s ${H}/lastz.$G/mafSynNet/*.maf.gz ./mafLinks/$G else if [ -s ${H}/lastz.${G}/mafNet/chr1.maf.gz ]; then echo "$G - mafNet" ln -s ${H}/lastz.$G/mafNet/*.maf.gz ./mafLinks/$G else echo "missing directory lastz.${G}/*Net" fi fi fi done # verify the alignment type is correct: for D in `cat /hive/users/hiram/bigWayHg19/ordered.list` do ls -l mafLinks/$D/chr1.maf.gz | awk '{print $NF}' done # compare to the list at: # http://genomewiki.ucsc.edu/index.php/Hg19_Genome_size_statistics # need to split these things up into smaller pieces for # efficient kluster run. cd /hive/data/genomes/hg19/bed/multiz46way mkdir mafSplit cd mafSplit # mafSplitPos splits on gaps or repeat areas that will not have # any chains, approx 5 Mbp intervals, gaps at least 10,000 mafSplitPos -minGap=10000 hg19 5stdout | sort -u \ | sort -k1,1 -k2,2n > mafSplit.bed # There is a splitRegions.pl script here (copied from previous 44way) # that can create a custom track from this mafSplit.bed file. # Take a look at that in the browser and see if it looks OK, # check the number of sections on each chrom to verify none are # too large. Despite the claim above, it does appear that some # areas are split where actual chains exist. # run a small kluster job to split them all ssh memk cd /hive/data/genomes/hg19/bed/multiz46way/mafSplit cat << '_EOF_' > runOne #!/bin/csh -ef set G = $1 set C = $2 mkdir -p $G pushd $G > /dev/null if ( -s ../../mafLinks/${G}/${C}.maf.gz ) then rm -f hg19_${C}.*.maf mafSplit ../mafSplit.bed hg19_ ../../mafLinks/${G}/${C}.maf.gz gzip hg19_${C}.*.maf else touch hg19_${C}.00.maf gzip hg19_${C}.00.maf endif popd > /dev/null '_EOF_' # << happy emacs chmod +x runOne cat << '_EOF_' > template #LOOP runOne $(root1) $(root2) {check out line $(root1)/hg19_$(root2).00.maf} #ENDLOOP '_EOF_' # << happy emacs for G in `sed -e "s/hg19 //" ../species.list` do echo $G done > species.list cut -f 1 ../../../chrom.sizes > chr.list gensub2 species.list chr.list template jobList para -ram=8g create jobList para try ... check ... push ... etc... # Completed: 4185 of 4185 jobs # CPU time in finished jobs: 25547s 425.78m 7.10h 0.30d 0.001 y # IO & Wait Time: 268664s 4477.73m 74.63h 3.11d 0.009 y # Average job time: 70s 1.17m 0.02h 0.00d # Longest finished job: 1234s 20.57m 0.34h 0.01d # Submission to last job: 3048s 50.80m 0.85h 0.04d # the autoMultiz cluster run ssh swarm cd /hive/data/genomes/hg19/bed/multiz46way/ mkdir splitRun cd splitRun mkdir maf run cd run mkdir penn cp -p /cluster/bin/penn/multiz.2008-11-25/multiz penn cp -p /cluster/bin/penn/multiz.2008-11-25/maf_project penn cp -p /cluster/bin/penn/multiz.2008-11-25/autoMZ penn # set the db and pairs directories here cat > autoMultiz.csh << '_EOF_' #!/bin/csh -ef set db = hg19 set c = $1 set result = $2 set run = `/bin/pwd` set tmp = /scratch/tmp/$db/multiz.$c set pairs = /hive/data/genomes/hg19/bed/multiz46way/mafSplit /bin/rm -fr $tmp /bin/mkdir -p $tmp /bin/cp -p ../../tree.nh ../../species.list $tmp pushd $tmp > /dev/null foreach s (`/bin/sed -e "s/ $db//" species.list`) set in = $pairs/$s/$c.maf set out = $db.$s.sing.maf if (-e $in.gz) then /bin/zcat $in.gz > $out if (! -s $out) then echo "##maf version=1 scoring=autoMZ" > $out endif else if (-e $in) then /bin/ln -s $in $out else echo "##maf version=1 scoring=autoMZ" > $out endif end set path = ($run/penn $path); rehash $run/penn/autoMZ + T=$tmp E=$db "`cat tree.nh`" $db.*.sing.maf $c.maf \ > /dev/null popd > /dev/null /bin/rm -f $result /bin/cp -p $tmp/$c.maf $result /bin/rm -fr $tmp /bin/rmdir --ignore-fail-on-non-empty /scratch/tmp/$db '_EOF_' # << happy emacs chmod +x autoMultiz.csh cat << '_EOF_' > template #LOOP ./autoMultiz.csh $(root1) {check out line+ /hive/data/genomes/hg19/bed/multiz46way/splitRun/maf/$(root1).maf} #ENDLOOP '_EOF_' # << happy emacs find ../../mafSplit -type f | grep hg19_ | xargs -L 1 basename \ | sed -e "s/.gz//" | sort -u > chr.part.list gensub2 chr.part.list single template jobList para -ram=8g create jobList # initial run experience suggest some of the big jobs reach 8 Gb # of memory usage, so, tell parasol to limit the number of jobs per # node to avoid thrashing para -ram=8g try para -ram=8g push # Completed: 504 of 504 jobs # CPU time in finished jobs: 1342039s 22367.32m 372.79h 15.53d 0.043 y # IO & Wait Time: 63835s 1063.91m 17.73h 0.74d 0.002 y # Average job time: 2789s 46.49m 0.77h 0.03d # Longest finished job: 12625s 210.42m 3.51h 0.15d # Submission to last job: 15300s 255.00m 4.25h 0.18d # put the split maf results back together into a single maf file # eliminate duplicate comments ssh hgwdev cd /hive/data/genomes/hg19/bed/multiz46way/splitRun mkdir ../maf # the sed edits take out partitioning name information from the comments # so the multiple parts will condense to smaller number of lines # this takes almost 2 hours of time, resulting in a bit over 150 Gb, # almost all chrom files over 1 Gb, up to almost 10 Gb for chr2 # HOWEVER, this is actually not necessary to maintain these comments, # they are lost during the mafAddIRows cat << '_EOF_' >> runOne #!/bin/csh -fe set C = $1 if ( -s ../maf/${C}.maf.gz ) then rm -f ../maf/${C}.maf.gz endif head -q -n 1 maf/hg19_${C}.*.maf | sort -u > ../maf/${C}.maf grep -h "^#" maf/hg19_${C}.*.maf | egrep -v "maf version=1|eof maf" | \ sed -e "s#${C}.[0-9][0-9]*#${C}#g; s#_MZ_[^ ]* # #g;" \ | sort -u >> ../maf/${C}.maf grep -h -v "^#" `ls maf/hg19_${C}.*.maf | sort -t. -k2,2n` >> ../maf/${C}.maf tail -q -n 1 maf/hg19_${C}.*.maf | sort -u >> ../maf/${C}.maf '_EOF_' # << happy emacs chmod +x runOne cat << '_EOF_' >> template #LOOP runOne $(root1) {check out exists+ ../maf/$(root1).maf} #ENDLOOP '_EOF_' # << happy emacs cut -f1 ../../../chrom.sizes > chr.list ssh encodek cd /hive/data/genomes/hg19/bed/multiz46way/splitRun gensub2 chr.list single template jobList para create jobList para try ... check ... push ... etc ... # Completed: 92 of 93 jobs # Crashed: 1 jobs # CPU time in finished jobs: 412s 6.86m 0.11h 0.00d 0.000 y # IO & Wait Time: 21187s 353.12m 5.89h 0.25d 0.001 y # Average job time: 235s 3.91m 0.07h 0.00d # Longest finished job: 1529s 25.48m 0.42h 0.02d # Submission to last job: 1542s 25.70m 0.43h 0.02d # one of the results is completely empty, the grep for results failed # this file ../maf/chrUn_gl000226.maf only has header comments, no result # load tables for a look ssh hgwdev mkdir -p /gbdb/hg19/multiz46way/maf cd /hive/data/genomes/hg19/bed/multiz46way/maf ln -s `pwd`/*.maf /gbdb/hg19/multiz46way/maf # this generates an immense multiz46way.tab file in the directory # where it is running. Best to run this over in scratch. cd /data/tmp time nice -n +19 hgLoadMaf \ -pathPrefix=/gbdb/hg19/multiz46way/maf hg19 multiz46way # Loaded 33558634 mafs in 93 files from /gbdb/hg19/multiz46way/maf # real 512m8.053s # load summary table time nice -n +19 cat /gbdb/hg19/multiz46way/maf/*.maf \ | $HOME/bin/$MACHTYPE/hgLoadMafSummary hg19 -minSize=30000 -verbose=2 \ -mergeGap=1500 -maxSize=200000 multiz46waySummary stdin # real 92m30.700s # flushSummaryBlocks: output 45 blocks # Created 8766427 summary blocks from 645238409 components and # 33558634 mafs from stdin # blocks too small to be used: 29456 # Loading into hg19 table multiz46waySummary... # Gap Annotation # prepare bed files with gap info mkdir /hive/data/genomes/hg19/bed/multiz46way/anno cd /hive/data/genomes/hg19/bed/multiz46way/anno mkdir maf run # most of these will already exist from previous multiple alignments # remove the echo from in front of the twoBitInfo command to get them # to run if this loop appears to be correct for DB in `cat ../species.list` do CDIR="/hive/data/genomes/${DB}" if [ ! -f ${CDIR}/${DB}.N.bed ]; then echo "creating ${DB}.N.bed" echo twoBitInfo -nBed ${CDIR}/${DB}.2bit ${CDIR}/${DB}.N.bed else ls -og ${CDIR}/${DB}.N.bed fi done cd run rm -f nBeds sizes for DB in `sed -e "s/hg19 //" ../../species.list` do echo "${DB} " ln -s /hive/data/genomes/${DB}/${DB}.N.bed ${DB}.bed echo ${DB}.bed >> nBeds ln -s /hive/data/genomes/${DB}/chrom.sizes ${DB}.len echo ${DB}.len >> sizes done # the annotation step requires large memory, run on memk nodes ssh memk cd /hive/data/genomes/hg19/bed/multiz46way/anno/run ls ../../maf | sed -e "s/.maf//" > chr.list cat << '_EOF_' > template #LOOP ./anno.csh $(root1) {check out line+ ../maf/$(root1).maf} #ENDLOOP '_EOF_' # << happy emacs cat << '_EOF_' > anno.csh #!/bin/csh -fe set inMaf = ../../maf/$1.maf set outMaf = ../maf/$1.maf rm -f $outMaf mafAddIRows -nBeds=nBeds $inMaf /hive/data/genomes/hg19/hg19.2bit $outMaf '_EOF_' # << happy emacs chmod +x anno.csh gensub2 chr.list single template jobList para -ram=30g create jobList # specify lots of ram to get one job per node para -ram=30g push # # Completed: 93 of 93 jobs # CPU time in finished jobs: 10371s 172.85m 2.88h 0.12d 0.000 y # IO & Wait Time: 3365s 56.09m 0.93h 0.04d 0.000 y # Average job time: 148s 2.46m 0.04h 0.00d # Longest finished job: 1153s 19.22m 0.32h 0.01d # Submission to last job: 7402s 123.37m 2.06h 0.09d ssh hgwdev rm -fr /gbdb/hg19/multiz46way/maf mkdir /gbdb/hg19/multiz46way/maf cd /hive/data/genomes/hg19/bed/multiz46way/anno/maf ln -s `pwd`/*.maf /gbdb/hg19/multiz46way/maf/ # by loading this into the table multiz46way, it will replace the # previously loaded table with the unannotated mafs # huge temp files are made, do them on local disk cd /data/tmp time nice -n +19 hgLoadMaf \ -pathPrefix=/gbdb/hg19/multiz46way/maf hg19 multiz46way # real 113m11.709s # Loaded 33612571 mafs in 93 files from /gbdb/hg19/multiz46way/maf time nice -n +19 cat /gbdb/hg19/multiz46way/maf/*.maf \ | hgLoadMafSummary hg19 -minSize=30000 -mergeGap=1500 \ -maxSize=200000 multiz46waySummary stdin # with the quality annotated mafs, and mem interference on hgwdev: # Created 8514381 summary blocks from 600504256 components \ # and 33320838 mafs from stdin # real 169m56.936s # with the Irow annotations after the multiz fix: # Created 8514380 summary blocks from 600499937 # components and 33298894 mafs from stdin # real 184m42.893s # user 70m44.431s # sys 8m7.970s # Created 8514078 summary blocks from 604683213 components # and 35125649 mafs from stdin # real 130m55.115s # user 71m37.409s # sys 8m5.110s # by loading this into the table multiz46waySummary, it will replace # the previously loaded table with the unannotated mafs # remove the multiz46way*.tab files in this /data/tmp directory # -rw-rw-r-- 1 1949221892 Nov 15 14:04 multiz46way.tab # -rw-rw-r-- 1 417994189 Nov 15 20:57 multiz46waySummary.tab wc -l multiz46way*.tab # 33964377 multiz46way.tab # 8514078 multiz46waySummary.tab # 42478455 total rm multiz46way*.tab # create some downloads mkdir -p /hive/data/genomes/hg19/bed/multiz46way/download/maf cd /hive/data/genomes/hg19/bed/multiz46way/download/maf time cp -p ../../anno/maf/chr*.maf . # real 72m46.514s # user 0m1.293s # sys 5m15.981s time gzip --rsyncable *.maf time gzip --rsyncable *.maf # real 185m37.884s # user 179m51.161s # sys 3m48.016s time md5sum *.gz > md5sum.txt # real 3m59.009s # user 1m19.338s # sys 0m18.976s ############################################################################## # LASTZ Sea Hare aplCal1 (STARTING - 2009-06-08 - Galt) # To Do #1813 remove aplCal1 <-> hg19 chain/nets (2011-10-07 Chin) # However, only tables and download files are physically drop/removed # All data created stay on hive. mkdir /hive/data/genomes/hg19/bed/lastzAplCal1.2009-06-08 cd /hive/data/genomes/hg19/bed/lastzAplCal1.2009-06-08 cat << '_EOF_' > DEF # Human vs. Sea Hare BLASTZ_Y=3400 BLASTZ_L=6000 BLASTZ_K=2200 BLASTZ_M=50 BLASTZ_Q=/scratch/data/blastz/HoxD55.q # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=100000000 SEQ1_LAP=10000 SEQ2_LIMIT=5 # QUERY: Sea Hare aplCal1 SEQ2_DIR=/scratch/data/aplCal1/aplCal1.2bit SEQ2_LEN=/scratch/data/aplCal1/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LIMIT=300 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzAplCal1.2009-06-08 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # establish a screen to control this job # (NOTE I SHOULD NOT HAVE USED -qRepeats=windowmaskerSdust) screen time nice +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -qRepeats=windowmaskerSdust \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=pk \ >& do.log & # real about one hour but one job hung # resuming from failure # edited loadUp.csh, commenting out the first completed step # and removing the unneeded -qRepeats=windowmaskerSdust # from the next step, now run it to complete the load step. /hive/data/genomes/hg19/bed/lastzAplCal1.2009-06-08/axtChain/loadUp.csh \ >& continue-loadUp.log& # continue from step 'download' time nice +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=pk \ -continue download \ >& continue-download.log & cat fb.hg19.chainAplCal1Link.txt # 19675762 bases of 2897316137 (0.679%) in intersection # running the swap - DONE - 2009-06-02 # (NOTE I SHOULD NOT HAVE USED -qRepeats=windowmaskerSdust) mkdir /hive/data/genomes/aplCal1/bed/blastz.hg19.swap cd /hive/data/genomes/aplCal1/bed/blastz.hg19.swap time nice +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzAplCal1.2009-06-08/DEF \ -qRepeats=windowmaskerSdust \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=pk \ -swap >& swap.log & # real time not long # resuming from failure # edited loadUp.csh, commenting out the first completed step # and removing the unneeded -tRepeats=windowmaskerSdust # from the next step, now run it to complete the load step. /hive/data/genomes/aplCal1/bed/blastz.hg19.swap/axtChain/loadUp.csh \ >& continue-loadUp.log& time nice +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzAplCal1.2009-06-08/DEF \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=pk \ -continue download \ -swap >& continue-download.log & cat fb.aplCal1.chainHg19Link.txt # 14163455 bases of 619228098 (2.287%) in intersection ######################################################################### # EXONIPHY Hg19, lifted from hg18 (DONE - 2009-06-19 - Hiram) # needed for uscsGenes11 building # create a syntenic liftOver chain file cd /hive/data/genomes/hg18/bed/blat.hg19.2009-03-06 time nice -n +19 netSyntenic run.chain/hg18.hg19.noClass.net.gz stdout \ | netFilter -syn stdin | netChainSubset -verbose=0 stdin \ run.chain/hg18.hg19.all.chain.gz stdout \ | chainStitchId stdin stdout | gzip -c > hg18.hg19.syn.chain.gz # memory usage 55492608, utime 3 s/100, stime 3 # real 2m35.613s # real 5m55.575s # slightly smaller than the ordinary liftOver chain file: # -rw-rw-r-- 1 137245 Mar 6 17:37 hg18ToHg19.over.chain.gz # -rw-rw-r-- 1 96115 Jun 19 14:30 hg18.hg19.syn.chain.gz # exoniphyHg19.gp is prepared as follows mkdir /cluster/data/hg19/bed/exoniphy cd /cluster/data/hg19/bed/exoniphy hgsql hg18 -e "select * from exoniphy" -N > exoniphyHg18.gp time nice -n +19 liftOver -genePred exoniphyHg18.gp \ /hive/data/genomes/hg18/bed/blat.hg19.2009-03-06/hg18.hg19.syn.chain.gz \ exoniphyHg19.gp unmapped wc -l * # 178162 exoniphyHg18.gp # 178109 exoniphyHg19.gp # 106 unmapped mkdir dump cd dump hgsqldump --all -c --tab=. hg18 exoniphy cd .. chmod 775 dump hgsql hg19 < dump/exoniphy.sql hgsql hg19 \ -e "load data local infile \"exoniphyHg19.gp\" into table exoniphy;" nice -n +19 featureBits hg19 exoniphy # 27421336 bases of 2897316137 (0.946%) in intersection nice -n +19 featureBits hg18 exoniphy # 27475705 bases of 2881515245 (0.954%) in intersection ######################################################################### # BIOCYCTABLES NEEDED BY hgGene (DONE - 2009-06-22 - Hiram) # First register with BioCyc to download their HumanCyc database # The site will email you the URL for download. Beware, they supply # a URL to a directory chock a block full of data, almost 7 Gb, # you only need one file mkdir /hive/data/outside/bioCyc/090623 cd /hive/data/outside/bioCyc/090623 mkdir download cd download wget --timestamping --no-directories --recursive \ "http://bioinformatics.ai.sri.com/ecocyc/dist/flatfiles-52983746/humancyc-flatfiles.tar.Z" tar xvzf humancyc-flatfiles.tar.Z mkdir /hive/data/genomes/hg19/bed/bioCyc cd /hive/data/genomes/hg19/bed/bioCyc # clean the headers from these files grep -E -v "^#|^UNIQUE-ID" /hive/data/outside/bioCyc/090623/genes.col \ > genes.tab # this file isn't consistent in its number of columns grep -E -v "^#|^UNIQUE-ID" /hive/data/outside/bioCyc/090623/pathways.col \ | awk -F'\t' '{if (140 == NF) { printf "%s\t\t\n", $0; } else { print $0}}' \ > pathways.tab hgsql hg19 -e 'create database bioCyc090623' hgLoadSqlTab bioCyc090623 genes ~/src/hg/lib/bioCycGenes.sql ./genes.tab hgLoadSqlTab bioCyc090623 pathways ~/src/hg/lib/bioCycPathways.sql ./pathways.tab # Create bioCycMapDesc.tab hgsql bioCyc090623 -N \ -e 'select UNIQUE_ID, NAME from pathways' | sort -u > bioCycMapDesc.tab XXX see alternative below # this kgBioCyc0 thing needs kgXref and other UCSC gene tables to work # Create bioCycPathway.tab kgBioCyc0 bioCyc090623 hg19 hg19 hgLoadSqlTab hg19 bioCycPathway ~/kent/src/hg/lib/bioCycPathway.sql ./bioCycPathway.tab hgLoadSqlTab hg19 bioCycMapDesc ~/kent/src/hg/lib/bioCycMapDesc.sql ./bioCycMapDesc.tab XXX maybe instead do this in the gene build procedure # from the UCSC genes build procedure # Do BioCyc Pathways build mkdir $dir/bioCyc cd $dir/bioCyc grep -v '^#' $bioCycPathways > pathways.tab grep -v '^#' $bioCycGenes > genes.tab kgBioCyc1 genes.tab pathways.tab $db bioCycPathway.tab bioCycMapDesc.tab hgLoadSqlTab $tempDb bioCycPathway ~/kent/src/hg/lib/bioCycPathway.sql ./bioCycPathway.tab hgLoadSqlTab $tempDb bioCycMapDesc ~/kent/src/hg/lib/bioCycMapDesc.sql ./bioCycMapDesc.tab ############################################################################## nscanGene (2009-06-22 markd) # nscanGene track from WUSTL cd /cluster/data/hg19/bed/nscan wget http://mblab.wustl.edu/~jeltje/hg19_tracks/hg19.updated.gtf wget http://mblab.wustl.edu/~jeltje/hg19_tracks/hg19.readme wget -r -np -l 1 http://mblab.wustl.edu/~jeltje/hg19_tracks/hg19_proteins bzip2 hg19.updated.gtf hg19_proteins/*.fa # load track gtfToGenePred -genePredExt hg19.updated.gtf.bz2 stdout| hgLoadGenePred -genePredExt hg19 nscanGene stdin bzcat hg19_proteins/chr*.fa.bz2 | hgPepPred hg19 generic nscanPep stdin rm *.tab # validate same number of transcripts and peptides are loaded hgsql -Ne 'select count(*) from nscanGene' hg19 hgsql -Ne 'select count(*) from nscanPep' hg19 # validate search expression hgc-sql -Ne 'select name from nscanGene' hg19 | egrep -v -e '^chr[0-9a-zA-Z_]+\.([0-9]+|pasa)((\.[0-9a-z]+)?\.[0-9a-z]+)?$' |wc -l ######################################################################### # Phylogenetic tree from 46-way for chrX (DONE - 2009-10-26 - Hiram) # We need two trees, one for chrX only, and a second for all other chroms mkdir /hive/data/genomes/hg19/bed/multiz46way/4dX cd /hive/data/genomes/hg19/bed/multiz46way/4dX hgsql hg19 -Ne \ "select * from refGene,refSeqStatus where refGene.name=refSeqStatus.mrnaAcc and refSeqStatus.status='Reviewed' and mol='mRNA' and refGene.chrom='chrX'" \ | cut -f 2-20 > refSeqReviewed.gp wc -l refSeqReviewed.gp # 727 refSeqReviewed.gp genePredSingleCover refSeqReviewed.gp stdout | sort > refSeqReviewedNR.gp wc -l refSeqReviewedNR.gp # 401 refSeqReviewed.gp ssh memk mkdir /hive/data/genomes/hg19/bed/multiz46way/4dX/run cd /hive/data/genomes/hg19/bed/multiz46way/4dX/run mkdir ../mfa # whole chrom mafs version, using new version of # uses memory-efficient version of phast, from Melissa Hubisz at Cornell # mjhubisz at gmail.com cat << '_EOF_' > 4dX.csh #!/bin/csh -fe set PHASTBIN = /cluster/bin/phast.build/cornellCVS/phast.2009-10-21/bin set r = "/hive/data/genomes/hg19/bed/multiz46way" set c = $1 set infile = $r/maf/$2 set outfile = $3 cd /scratch/tmp # 'clean' maf perl -wpe 's/^s ([^.]+)\.\S+/s $1/' $infile > $c.maf awk -v C=$c '$2 == C {print}' $r/4dX/refSeqReviewedNR.gp > $c.gp set PHASTBIN = /cluster/bin/phast.build/cornellCVS/phast.2009-10-21/bin $PHASTBIN/msa_view --4d --features $c.gp --do-cats 3 -i MAF $c.maf -o SS > $c.ss $PHASTBIN/msa_view -i SS --tuple-size 1 $c.ss > $r/4dX/$outfile rm -f $c.gp $c.maf $c.ss '_EOF_' # << happy emacs chmod +x 4dX.csh ls -1S /hive/data/genomes/hg19/bed/multiz46way/maf/chrX.maf | \ egrep -E -v "chrM|chrUn|random|_hap" | sed -e "s#.*multiz46way/maf/##" \ > maf.list cat << '_EOF_' > template #LOOP 4dX.csh $(root1) $(path1) {check out line+ mfa/$(root1).mfa} #ENDLOOP '_EOF_' # << happy emacs gensub2 maf.list single template stdout | tac > jobList # run this one job on hgwdev, takes a few minutes: ./4dX.csh chrX chrX.maf mfa/chrX.mfa # not sure what these warnings are about: # WARNING: ignoring out-of-range feature # chrX genepred CDS 1 -1 . + 2 transcript_id "NM_000475" # WARNING: ignoring out-of-range feature # chrX genepred CDS 1 -1 . + 2 transcript_id "NM_005365.2" # combine mfa files cd .. sed -e "s/ /,/g" ../species.list > species.lst /cluster/bin/phast.build/cornellCVS/phast.2009-10-21/bin/msa_view \ --aggregate `cat species.lst` mfa/*.mfa | sed s/"> "/">"/ > 4dX.chrX.mfa XXXX ! 2010-12-29 - There is an error in the awk below. XXXX It ends up only working on the first file mfa/chr1.mfa XXXX with the result in placentals.mfa only from chr1.mfa sed -e 's/,macEug1.*//' species.lst > placentals.lst awk ' BEGIN { good = 1 } { if (match($0, "^> macEug1")) { good = 0 } if (good) {print} } ' mfa/*.mfa > placentals.mfa /cluster/bin/phast.build/cornellCVS/phast.2009-10-21/bin/msa_view \ --aggregate `cat placentals.lst` placentals.mfa | sed s/"> "/">"/ \ > 4dX.placentals.mfa XXXX ! 2010-12-29 - There is an error in the awk below. XXXX It ends up only working on the first file mfa/chr1.mfa XXXX with the result in primates.mfa only from chr1.mfa sed -e 's/,tupBel1.*//' species.lst > primates.lst awk ' BEGIN { good = 1 } { if (match($0, "^> tupBel1")) { good = 0 } if (good) {print} } ' mfa/*.mfa > primates.mfa /cluster/bin/phast.build/cornellCVS/phast.2009-10-21/bin/msa_view \ --aggregate `cat primates.lst` primates.mfa | sed -e "s/> />/" \ > 4dX.primates.mfa # use phyloFit to create tree model (output is phyloFit.mod) time /cluster/bin/phast.build/cornellCVS/phast.2009-10-21/bin/phyloFit \ --EM --precision MED --msa-format FASTA --subst-mod REV \ --tree ../tree-commas.nh 4dX.chrX.mfa # real 0.54.139s mv phyloFit.mod phyloFit.chrX.mod grep TREE phyloFit.chrX.mod | sed 's/TREE\:\ //' > tree_4d.chrX.46way.nh /cluster/bin/phast.build/cornellCVS/phast.2009-10-21/bin/tree_doctor \ --no-branchlen --prune-all-but=`cat primates.lst` ../tree-commas.nh \ > tree_commas.primates.nh /cluster/bin/phast.build/cornellCVS/phast.2009-10-21/bin/tree_doctor \ --no-branchlen --prune-all-but=`cat placentals.lst` ../tree-commas.nh \ > tree_commas.placentals.nh /cluster/bin/phast.build/cornellCVS/phast.2009-10-21/bin/phyloFit \ --EM --precision MED --msa-format FASTA --subst-mod REV \ --tree tree_commas.primates.nh 4dX.primates.mfa mv phyloFit.mod phyloFit.chrX.primates.mod grep TREE phyloFit.chrX.primates.mod | sed 's/TREE\:\ //' \ > tree_4d.chrX.primates.46way.nh /cluster/bin/phast.build/cornellCVS/phast.2009-10-21/bin/phyloFit \ --EM --precision MED --msa-format FASTA --subst-mod REV \ --tree tree_commas.placentals.nh 4dX.placentals.mfa mv phyloFit.mod phyloFit.chrX.placentals.mod grep TREE phyloFit.chrX.placentals.mod | sed 's/TREE\:\ //' \ > tree_4d.chrX.placentals.46way.nh ######################################################################### # Phylogenetic tree from 46-way for non-chrX (DONE - 2009-10-27 - Hiram) # We need two trees, one for chrX only, and a second for all other chroms mkdir /hive/data/genomes/hg19/bed/multiz46way/4dNoX cd /hive/data/genomes/hg19/bed/multiz46way/4dNoX hgsql hg19 -Ne \ "select * from refGene,refSeqStatus where refGene.name=refSeqStatus.mrnaAcc and refSeqStatus.status='Reviewed' and mol='mRNA'" \ | cut -f 2-20 | egrep -E -v "chrM|chrUn|random|_hap|chrX" \ > refSeqReviewed.gp wc -l refSeqReviewed.gp # 12977 refSeqReviewed.gp genePredSingleCover refSeqReviewed.gp stdout | sort > refSeqReviewedNR.gp wc -l refSeqReviewedNR.gp # 7252 refSeqReviewed.gp ssh memk mkdir /hive/data/genomes/hg19/bed/multiz46way/4dNoX/run cd /hive/data/genomes/hg19/bed/multiz46way/4dNoX/run mkdir ../mfa # whole chrom mafs version, using new version of # uses memory-efficient version of phast, from Melissa Hubisz at Cornell # mjhubisz at gmail.com cat << '_EOF_' > 4dNoX.csh #!/bin/csh -fe set PHASTBIN = /cluster/bin/phast.build/cornellCVS/phast.2009-10-21/bin set r = "/hive/data/genomes/hg19/bed/multiz46way" set c = $1 set infile = $r/maf/$2 set outfile = $3 cd /scratch/tmp # 'clean' maf perl -wpe 's/^s ([^.]+)\.\S+/s $1/' $infile > $c.maf awk -v C=$c '$2 == C {print}' $r/4dNoX/refSeqReviewedNR.gp > $c.gp set PHASTBIN = /cluster/bin/phast.build/cornellCVS/phast.2009-10-21/bin $PHASTBIN/msa_view --4d --features $c.gp --do-cats 3 -i MAF $c.maf -o SS > $c.ss $PHASTBIN/msa_view -i SS --tuple-size 1 $c.ss > $r/4dNoX/$outfile rm -f $c.gp $c.maf $c.ss '_EOF_' # << happy emacs chmod +x 4dNoX.csh ls -1S /hive/data/genomes/hg19/bed/multiz46way/maf/chr*.maf | \ egrep -E -v "chrM|chrUn|random|_hap|chrX" \ | sed -e "s#.*multiz46way/maf/##" \ > maf.list cat << '_EOF_' > template #LOOP 4dNoX.csh $(root1) $(path1) {check out line+ ../mfa/$(root1).mfa} #ENDLOOP '_EOF_' # << happy emacs gensub2 maf.list single template stdout | tac > jobList para try ... check ... push ... etc para time # Completed: 23 of 23 jobs # CPU time in finished jobs: 9032s 150.53m 2.51h 0.10d 0.000 y # IO & Wait Time: 672s 11.21m 0.19h 0.01d 0.000 y # Average job time: 422s 7.03m 0.12h 0.00d # Longest finished job: 860s 14.33m 0.24h 0.01d # Submission to last job: 1210s 20.17m 0.34h 0.01d # combine mfa files cd .. sed -e "s/ /,/g" ../species.list > species.lst /cluster/bin/phast.build/cornellCVS/phast.2009-10-21/bin/msa_view \ --aggregate `cat species.lst` mfa/*.mfa | sed s/"> "/">"/ \ > 4dNoX.all.mfa sed -e 's/,macEug1.*//' species.lst > placentals.lst awk ' BEGIN { good = 1 } { if (match($0, "^> macEug1")) { good = 0 } if (good) {print} } ' mfa/*.mfa > placentals.mfa /cluster/bin/phast.build/cornellCVS/phast.2009-10-21/bin/msa_view \ --aggregate `cat placentals.lst` placentals.mfa | sed s/"> "/">"/ \ > 4dNoX.placentals.mfa sed -e 's/,tupBel1.*//' species.lst > primates.lst awk ' BEGIN { good = 1 } { if (match($0, "^> tupBel1")) { good = 0 } if (good) {print} } ' mfa/*.mfa > primates.mfa /cluster/bin/phast.build/cornellCVS/phast.2009-10-21/bin/msa_view \ --aggregate `cat primates.lst` primates.mfa | sed -e "s/> />/" \ > 4dNoX.primates.mfa # use phyloFit to create tree model (output is phyloFit.mod) time /cluster/bin/phast.build/cornellCVS/phast.2009-10-21/bin/phyloFit \ --EM --precision MED --msa-format FASTA --subst-mod REV \ --tree ../tree-commas.nh 4dNoX.all.mfa # about 40 minutes mv phyloFit.mod phyloFit.NoChrX.mod grep TREE phyloFit.chrX.mod | sed 's/TREE\:\ //' > tree_4d.chrX.46way.nh /cluster/bin/phast.build/cornellCVS/phast.2009-10-21/bin/tree_doctor \ --no-branchlen --prune-all-but=`cat primates.lst` ../tree-commas.nh \ > tree_commas.primates.nh /cluster/bin/phast.build/cornellCVS/phast.2009-10-21/bin/tree_doctor \ --no-branchlen --prune-all-but=`cat placentals.lst` ../tree-commas.nh \ > tree_commas.placentals.nh /cluster/bin/phast.build/cornellCVS/phast.2009-10-21/bin/phyloFit \ --EM --precision MED --msa-format FASTA --subst-mod REV \ --tree tree_commas.primates.nh 4dNoX.primates.mfa mv phyloFit.mod phyloFit.NoChrX.primates.mod grep TREE phyloFit.NoChrX.primates.mod | sed 's/TREE\:\ //' \ > tree_4d.NoChrX.primates.46way.nh /cluster/bin/phast.build/cornellCVS/phast.2009-10-21/bin/phyloFit \ --EM --precision MED --msa-format FASTA --subst-mod REV \ --tree tree_commas.placentals.nh 4dNoX.placentals.mfa mv phyloFit.mod phyloFit.NoChrX.placentals.mod grep TREE phyloFit.NoChrX.placentals.mod | sed 's/TREE\:\ //' \ > tree_4d.NoChrX.placentals.46way.nh ######################################################################### # Phylogenetic tree from 46-way (DONE - 2009-06-25,07-07 - Hiram) # This was an early first time experiment. All this was redone # above for chrX only and non-chrX trees # Extract 4-fold degenerate sites based on # of RefSeq Reviewed, coding mkdir /hive/data/genomes/hg19/bed/multiz46way/4d cd /hive/data/genomes/hg19/bed/multiz46way/4d hgsql hg19 -Ne \ "select * from refGene,refSeqStatus where refGene.name=refSeqStatus.mrnaAcc and refSeqStatus.status='Reviewed' and mol='mRNA'" | cut -f 2-20 \ > refSeqReviewed.gp wc -l refSeqReviewed.gp # 14077 refSeqReviewed.gp genePredSingleCover refSeqReviewed.gp stdout | sort > refSeqReviewedNR.gp wc -l refSeqReviewedNR.gp # 7951 refSeqReviewedNR.gp ssh memk mkdir /hive/data/genomes/hg19/bed/multiz46way/4d/run cd /hive/data/genomes/hg19/bed/multiz46way/4d/run mkdir ../mfa # whole chrom mafs version, using new version of # uses memory-efficient version of phast, from Melissa Hubisz at Cornell # mjhubisz at gmail.com cat << '_EOF_' > 4d.csh #!/bin/csh -fe set r = "/hive/data/genomes/hg19/bed/multiz46way" set c = $1 set infile = $r/maf/$2 set outfile = $3 cd /scratch/tmp # 'clean' maf perl -wpe 's/^s ([^.]+)\.\S+/s $1/' $infile > $c.maf awk -v C=$c '$2 == C {print}' $r/4d/refSeqReviewedNR.gp > $c.gp set PHASTBIN=/cluster/bin/phast.2008-12-18 $PHASTBIN/msa_view --4d --features $c.gp --do-cats 3 -i MAF $c.maf -o SS > $c.ss $PHASTBIN/msa_view -i SS --tuple-size 1 $c.ss > $r/4d/$outfile rm -f $c.gp $c.maf $c.ss '_EOF_' # << happy emacs chmod +x 4d.csh ls -1S /hive/data/genomes/hg19/bed/multiz46way/maf/*.maf | \ egrep -E -v "chrM|chrUn|random|_hap" | sed -e "s#.*multiz46way/maf/##" \ > maf.list cat << '_EOF_' > template #LOOP 4d.csh $(root1) {check in line+ $(path1)} {check out line+ mfa/$(root1).mfa} #ENDLOOP '_EOF_' # << happy emacs gensub2 maf.list single template stdout | tac > jobList rm -fr /cluster/data/hg19/bed/multiz46way/4d/mfa mkdir /cluster/data/hg19/bed/multiz46way/4d/mfa para create jobList para try para check para push # combine mfa files cd .. sed -e "s/ /,/g" ../species.list > species.lst /cluster/bin/phast/msa_view --aggregate `cat species.lst` mfa/*.mfa | \ sed s/"> "/">"/ > 4d.all.mfa sed -e 's/,macEug1.*//' species.lst > placentals.lst # XXX this didn't work /cluster/bin/phast/msa_view --aggregate `cat placentals.lst` mfa/*.mfa | \ sed s/"> "/">"/ > 4d.placentals.mfa # use phyloFit to create tree model (output is phyloFit.mod) set PHASTBIN=/cluster/bin/phast.2008-12-18 time $PHASTBIN/phyloFit --EM --precision MED --msa-format FASTA \ --subst-mod REV --tree ../tree-commas.nh 4d.all.mfa # real 111m23.119s mv phyloFit.mod phyloFit.all.mod grep TREE phyloFit.all.mod | sed 's/TREE\:\ //' > tree_4d.46way.nh sed -e 's/.*,choHof1,//' species.lst > notPlacentals.list $PHASTBIN/tree_doctor \ --prune=`cat notPlacentals.list` \ tree_4d.46way.nh > tree_4d.46way.placental.nh ############################################################################# # phastCons 46-way (DONE - 2009-09-21,2009-11-10 - Hiram) # was unable to split the full chrom MAF files, now working on the # maf files as they were split up during multiz # split 46way mafs into 10M chunks and generate sufficient statistics # files for # phastCons ssh swarm mkdir -p /hive/data/genomes/hg19/bed/multiz46way/cons/msa.split cd /hive/data/genomes/hg19/bed/multiz46way/mafSplit ./splitRegions.pl mafSplit.bed > \ /hive/data/genomes/hg19/bed/multiz46way/cons/msa.split/region.list mkdir /hive/data/genomes/hg19/bed/multiz46way/cons/ss mkdir -p /hive/data/genomes/hg19/bed/multiz46way/cons/msa.split/2009-10-19 cd /hive/data/genomes/hg19/bed/multiz46way/cons/msa.split/2009-10-19 mkdir ss cat << '_EOF_' > doSplit.csh #!/bin/csh -ef set c = $1 set MAF = /hive/data/genomes/hg19/bed/multiz46way/splitRun/maf/hg19_$c.maf set WINDOWS = /hive/data/genomes/hg19/bed/multiz46way/cons/msa.split/2009-10-19/ss/$c set WC = `cat $MAF | wc -l` set NL = `grep "^#" $MAF | wc -l` if ( -s $2 ) then exit 0 endif if ( -s $2.running ) then exit 0 endif date >> $2.running rm -fr $WINDOWS mkdir $WINDOWS pushd $WINDOWS > /dev/null if ( $WC != $NL ) then /cluster/bin/phast.build/cornellCVS/phast.2009-10-19/bin/msa_split \ $MAF -i MAF -o SS -r $WINDOWS/$c -w 10000000,0 -I 1000 -B 5000 endif popd > /dev/null date >> $2 rm -f $2.running '_EOF_' # << happy emacs chmod +x doSplit.csh cat << '_EOF_' > template #LOOP doSplit.csh $(root1) {check out line+ $(root1).done} #ENDLOOP '_EOF_' # << happy emacs # do the easy ones first to see some immediate results ls -1S -r ../../../splitRun/maf | sed -e "s/.maf//; s/hg19_//" > maf.list gensub2 maf.list single template jobList para -ram=32g create jobList para try ... check ... etc # Completed: 503 of 504 jobs # Crashed: 1 jobs # CPU time in finished jobs: 14171s 236.18m 3.94h 0.16d 0.000 y # IO & Wait Time: 188193s 3136.55m 52.28h 2.18d 0.006 y # Average job time: 402s 6.71m 0.11h 0.00d # Longest finished job: 1597s 26.62m 0.44h 0.02d # Submission to last job: 2586s 43.10m 0.72h 0.03d # the one crashed job is hg19_chr18_gl000207_random.00.maf # XXX - this did not work # this takes a really long time. memk was down to 2 usable # machines - got it finished manually on a combination of hgwdevnew CPUs # and other machines # Estimate phastCons parameters # experimented with this as a parasol job on hgwdevnew to try a number # of SS files. With a command of: /cluster/bin/phast/x86_64/phyloFit -i SS ${SS} \ --tree "(((((((((((((((((hg19,panTro2),gorGor1),ponAbe2),rheMac2),calJac1),tarSyr1),(micMur1,otoGar1)),tupBel1),(((((mm9,rn4),dipOrd1),cavPor3),speTri1),(oryCun1,ochPri2))),(((vicPac1,(turTru1,bosTau4)),((equCab2,(felCat3,canFam2)),(myoLuc1,pteVam1))),(eriEur1,sorAra1))),(((loxAfr2,proCap1),echTel1),(dasNov2,choHof1))),monDom4),ornAna1),((galGal3,taeGut1),anoCar1)),xenTro2),(((tetNig1,fr2),(gasAcu1,oryLat2)),danRer5)),petMar1)" \ --out-root=$OUT/starting_tree # running over the input files ../ss/*/*.ss results to #.../genomes/hg19/bed/multiz46way/cons/startingTree/result/*/starting-tree.mod # add up the C and G: find ./result -type f | xargs ls -rt | while read F do D=`dirname $F` echo -n `basename $D`" - " grep BACKGROUND ${F} | awk '{printf "%0.3f\n", $3 + $4;}' done # counting number of species seen in the maf file: find ./result -type f | xargs ls -rt | while read F do D=`dirname $F` echo -n `basename $D`" - " grep TREE $F | sed -e \ "s/TREE: //; s/(//g; s/)//g; s/[0-9].[0-9][0-9][0-9][0-9][0-9][0-9]//g; s/://g" | tr ',' '\n' | wc -l done # Run phastCons # This job is I/O intensive in its output files, beware where this # takes place or do not run too many at once. ssh swarm mkdir -p /hive/data/genomes/hg19/bed/multiz46way/cons/run.cons cd /hive/data/genomes/hg19/bed/multiz46way/cons/run.cons # there are going to be several different phastCons runs using # this same script. They trigger off of the current working directory # $cwd:t which is the "grp" in this script. It is one of: # all primates placentals cat << '_EOF_' > doPhast.csh #!/bin/csh -fe set PHASTBIN = /cluster/bin/phast.build/cornellCVS/phast.2009-10-21/bin set c = $1 set cX = $1:r set f = $2 set len = $3 set cov = $4 set rho = $5 set grp = $cwd:t set cons = /hive/data/genomes/hg19/bed/multiz46way/cons set tmp = $cons/tmp/$f mkdir -p $tmp set ssSrc = $cons set useGrp = "$grp.mod" if ( $cX == "chrX" ) then set useGrp = "$grp.chrX.mod" endif if (-s $cons/$grp/$grp.non-inf) then ln -s $cons/$grp/$grp.mod $tmp ln -s $cons/$grp/$grp.chrX.mod $tmp ln -s $cons/$grp/$grp.non-inf $tmp ln -s $ssSrc/msa.split/2009-10-21/ss/$c/$f.ss $tmp else ln -s $ssSrc/msa.split/2009-10-21/ss/$c/$f.ss $tmp ln -s $cons/$grp/$grp.mod $tmp ln -s $cons/$grp/$grp.chrX.mod $tmp endif pushd $tmp > /dev/null if (-s $grp.non-inf) then $PHASTBIN/phastCons $f.ss $useGrp \ --rho $rho --expected-length $len --target-coverage $cov --quiet \ --not-informative `cat $grp.non-inf` \ --seqname $c --idpref $c --most-conserved $f.bed --score > $f.pp else $PHASTBIN/phastCons $f.ss $useGrp \ --rho $rho --expected-length $len --target-coverage $cov --quiet \ --seqname $c --idpref $c --most-conserved $f.bed --score > $f.pp endif popd > /dev/null mkdir -p pp/$c bed/$c sleep 4 touch pp/$c bed/$c rm -f pp/$c/$f.pp rm -f bed/$c/$f.bed mv $tmp/$f.pp pp/$c mv $tmp/$f.bed bed/$c rm -fr $tmp '_EOF_' # << happy emacs chmod a+x doPhast.csh # this template will serve for all runs # root1 == chrom name, file1 == ss file name without .ss suffix cat << '_EOF_' > template #LOOP ../run.cons/doPhast.csh $(root1) $(file1) 45 0.3 0.3 {check out line+ pp/$(root1)/$(file1).pp} #ENDLOOP '_EOF_' # << happy emacs ls -1S ../msa.split/2009-10-21/ss/chr*/chr* | sed -e "s/.ss$//" > ss.list # Create parasol batch and run it # run for all species cd /hive/data/genomes/hg19/bed/multiz46way/cons mkdir -p all cd all # Using the two different .mod tree cp -p ../../4dNoX/phyloFit.NoChrX.mod ./all.mod cp -p ../../4dX/phyloFit.chrX.mod ./all.chrX.mod gensub2 ../run.cons/ss.list single ../run.cons/template jobList para -ram=8g create jobList para try ... check ... push ... etc. # Completed: 581 of 581 jobs # CPU time in finished jobs: 41877s 697.95m 11.63h 0.48d 0.001 y # IO & Wait Time: 39172s 652.87m 10.88h 0.45d 0.001 y # Average job time: 139s 2.32m 0.04h 0.00d # Longest finished job: 329s 5.48m 0.09h 0.00d # Submission to last job: 2240s 37.33m 0.62h 0.03d # create Most Conserved track cd /hive/data/genomes/hg19/bed/multiz46way/cons/all cut -f1 ../../../../chrom.sizes | while read C do ls -d bed/${C}.[0-9][0-9] 2> /dev/null | while read D do cat ${D}/${C}*.bed done | sort -k1,1 -k2,2n \ | awk '{printf "%s\t%d\t%d\tlod=%d\t%s\n", "'${C}'", $2, $3, $5, $5;}' done > tmpMostConserved.bed /cluster/bin/scripts/lodToBedScore tmpMostConserved.bed > mostConserved.bed # load into database ssh hgwdev cd /hive/data/genomes/hg19/bed/multiz46way/cons/all time nice -n +19 hgLoadBed hg19 phastConsElements46way mostConserved.bed # Loaded 5163775 elements of size 6 # real 1m44.439s # Try for 5% overall cov, and 70% CDS cov featureBits hg19 -enrichment refGene:cds phastConsElements46way # --rho 0.3 --expected-length 45 --target-coverage 0.3 # refGene:cds 1.187%, phastConsElements46way 5.065%, # both 0.884%, cover 74.46%, enrich 14.70x # Create merged posterier probability file and wiggle track data files cd /hive/data/genomes/hg19/bed/multiz46way/cons/all mkdir downloads cat << '_EOF_' > phastCat.sh #!/bin/sh mkdir -p downloads cut -f1 ../../../../chrom.sizes | while read C do echo -n "${C} ... working ... " ls -d pp/${C}.[0-9][0-9] 2> /dev/null | while read D do cat ${D}/${C}*.pp | sed -e "s/chrom=${C}.[0-9][0-9]/chrom=${C}/" done | gzip > downloads/${C}.phastCons46way.wigFix.gz echo "done" done '_EOF_' # << happy emacs chmod +x phastCat.sh time nice -n +19 ./phastCat.sh # real 30m2.623s # encode those files into wiggle data zcat downloads/*.wigFix.gz \ | wigEncode stdin phastCons46way.wig phastCons46way.wib # Converted stdin, upper limit 1.00, lower limit 0.00 # real 18m37.881s du -hsc *.wi? # 2.7G phastCons46way.wib # 271M phastCons46way.wig # 3.0G total # encode into a bigWig file: # (warning wigToBigWig process grows to about 36 Gb) # in bash, to avoid the 32 Gb memory limit: sizeG=188743680 export sizeG ulimit -d $sizeG ulimit -v $sizeG zcat downloads/*.wigFix.gz \ | wigToBigWig stdin ../../../../chrom.sizes phastCons46way.bw # real 52m36.142s # -rw-rw-r-- 1 21667535139 Oct 20 13:59 phastCons46way.bw mkdir /gbdb/hg19/bbi ln -s `pwd`/phastCons46way.bw /gbdb/hg19/bbi # if you wanted to use the bigWig file, loading bigWig table: hgsql hg19 -e 'drop table if exists phastCons46way; \ create table phastCons46way (fileName varchar(255) not null); \ insert into phastCons46way values ("/gbdb/hg19/bbi/phastCons46way.bw");' # Load gbdb and database with wiggle. ssh hgwdev cd /hive/data/genomes/hg19/bed/multiz46way/cons/all ln -s `pwd`/phastCons46way.wib /gbdb/hg19/multiz46way/phastCons46way.wib time nice -n +19 hgLoadWiggle -pathPrefix=/gbdb/hg19/multiz46way hg19 \ phastCons46way phastCons46way.wig # real 1m45.381s wigTableStats.sh hg19 phastCons46way # db.table min max mean count sumData # hg19.phastCons46way 0 1 0.103653 2845303719 2.94924e+08 # stdDev viewLimits # 0.230184 viewLimits=0:1 # Create histogram to get an overview of all the data ssh hgwdev cd /hive/data/genomes/hg19/bed/multiz46way/cons/all time nice -n +19 hgWiggle -doHistogram -db=hg19 \ -hBinSize=0.001 -hBinCount=1000 -hMinVal=0.0 -verbose=2 \ phastCons46way > histogram.data 2>&1 # real 7m37.212s # create plot of histogram: cat << '_EOF_' | gnuplot > histo.png set terminal png small color x000000 xffffff xc000ff x66ff66 xffff00 x00ffff set size 1.4, 0.8 set key left box set grid noxtics set grid ytics set title " Human Hg19 Histogram phastCons46way track" set xlabel " phastCons46way score" set ylabel " Relative Frequency" set y2label " Cumulative Relative Frequency (CRF)" set y2range [0:1] set y2tics set yrange [0:0.02] plot "histogram.data" using 2:5 title " RelFreq" with impulses, \ "histogram.data" using 2:7 axes x1y2 title " CRF" with lines '_EOF_' # << happy emacs display histo.png & ######################################################################## ### Create a phastCons data set for Primates # setup primates-only run ssh swarm mkdir /hive/data/genomes/hg19/bed/multiz46way/cons/primates cd /hive/data/genomes/hg19/bed/multiz46way/cons/primates # primates-only: exclude all but these for phastCons tree: cp -p ../../4dNoX/phyloFit.NoChrX.primates.mod primates.mod cp -p ../../4dX/phyloFit.chrX.primates.mod primates.chrX.mod # and place the removed ones in the non-inf file so phastCons will # truly ignore them: echo "tupBel1,mm9,rn4,dipOrd1,cavPor3,speTri1,oryCun2,ochPri2,vicPac1,turTru1,bosTau4,equCab2,felCat3,canFam2,myoLuc1,pteVam1,eriEur1,sorAra1,loxAfr3,proCap1,echTel1,dasNov2,choHof1,macEug1,monDom5,ornAna1,galGal3,taeGut1,anoCar1,xenTro2,tetNig2,fr2,gasAcu1,oryLat2,danRer6,petMar1" \ > primates.non-inf gensub2 ../run.cons/ss.list single ../run.cons/template jobList para -ram=8g create jobList para try ... check ... push ... etc. # Completed: 581 of 581 jobs # CPU time in finished jobs: 17077s 284.62m 4.74h 0.20d 0.001 y # IO & Wait Time: 73693s 1228.21m 20.47h 0.85d 0.002 y # Average job time: 156s 2.60m 0.04h 0.00d # Longest finished job: 402s 6.70m 0.11h 0.00d # Submission to last job: 2322s 38.70m 0.65h 0.03d cd /hive/data/genomes/hg19/bed/multiz46way/cons/primates # create Most Conserved track cut -f1 ../../../../chrom.sizes | while read C do ls -d bed/${C}.[0-9][0-9] 2> /dev/null | while read D do cat ${D}/${C}*.bed done | sort -k1,1 -k2,2n \ | awk '{printf "%s\t%d\t%d\tlod=%d\t%s\n", "'${C}'", $2, $3, $5, $5;}' done > tmpMostConserved.bed /cluster/bin/scripts/lodToBedScore tmpMostConserved.bed > mostConserved.bed featureBits hg19 mostConserved.bed # 146285948 bases of 2897316137 (5.049%) in intersection # load into database ssh hgwdev cd /hive/data/genomes/hg19/bed/multiz46way/cons/primates time nice -n +19 hgLoadBed hg19 phastConsElements46wayPrimates \ mostConserved.bed # Loaded 725627 elements of size 6 # real 0m8.583s # verify coverage featureBits hg19 phastConsElements46wayPrimates # 116785954 bases of 2897316137 (4.031%) in intersection # --rho 0.3 --expected-length 45 --target-coverage 0.3 featureBits hg19 -enrichment refGene:cds phastConsElements46wayPrimates # refGene:cds 1.186%, phastConsElements46wayPrimates 4.031%, # both 0.730%, cover 61.54%, enrich 15.27x featureBits hg19 -enrichment ensGene:cds phastConsElements46wayPrimates # ensGene:cds 1.252%, phastConsElements46wayPrimates 4.031%, # both 0.743%, cover 59.31%, enrich 14.71x # Create the downloads .pp files, from which the phastCons wiggle data # is calculated # sort by chromName, chromStart so that items are in numerical order # for wigEncode cd /hive/data/genomes/hg19/bed/multiz46way/cons/primates mkdir downloads cat << '_EOF_' > phastCat.sh #!/bin/sh mkdir -p downloads cut -f1 ../../../../chrom.sizes | while read C do echo -n "${C} ... working ... " ls -d pp/${C}.[0-9][0-9] 2> /dev/null | while read D do cat ${D}/${C}*.pp | sed -e "s/chrom=${C}.[0-9][0-9]/chrom=${C}/" done | gzip > downloads/${C}.phastCons46way.primates.wigFix.gz echo "done" done '_EOF_' # << happy emacs chmod +x ./phastCat.sh time nice -n +19 ./phastCat.sh # real 39m47.189s # Create merged posterier probability file and wiggle track data files zcat downloads/chr*.wigFix.gz \ | wigEncode stdin phastCons46wayPrimates.wig phastCons46wayPrimates.wib # Converted stdin, upper limit 1.00, lower limit 0.00 # real 17m20.601s # encode to bigWig # (warning wigToBigWig process grows to about 36 Gb) # in bash, to avoid the 32 Gb memory limit: sizeG=188743680 export sizeG ulimit -d $sizeG ulimit -v $sizeG zcat downloads/*.wigFix.gz \ | wigToBigWig stdin ../../../../chrom.sizes phastCons46wayPrimates.bw ln -s `pwd`/phastCons46wayPrimates.bw /gbdb/hg19/bbi # if desired to use the bigWig file, loading bigWig table: hgsql hg19 -e 'drop table if exists phastCons46wayPrimates; \ create table phastCons46wayPrimates \ (fileName varchar(255) not null); \ insert into phastCons46wayPrimates values ("/gbdb/hg19/bbi/phastCons46wayPrimates.bw");' ## load table with wiggle data ssh hgwdev cd /hive/data/genomes/hg19/bed/multiz46way/cons/primates ln -s `pwd`/phastCons46wayPrimates.wib \ /gbdb/hg19/multiz46way/phastCons46wayPrimates.wib time nice -n +19 hgLoadWiggle -pathPrefix=/gbdb/hg19/multiz46way hg19 \ phastCons46wayPrimates phastCons46wayPrimates.wig wigTableStats.sh hg19 phastCons46wayPrimates # db.table min max mean count sumData hg19.phastCons46wayPrimates 0 1 0.128883 2845303719 3.66712e+08 # stdDev viewLimits # 0.214067 viewLimits=0:1 # Create histogram to get an overview of all the data time nice -n +19 hgWiggle -doHistogram \ -hBinSize=0.001 -hBinCount=1000 -hMinVal=0.0 -verbose=2 \ -db=hg19 phastCons46wayPrimates > histogram.data 2>&1 # real 5m30.086s # create plot of histogram: cat << '_EOF_' | gnuplot > histo.png set terminal png small color \ x000000 xffffff xc000ff x66ff66 xffff00 x00ffff xff0000 set size 1.4, 0.8 set key left box set grid noxtics set grid ytics set title " Mouse Hg19 Histogram phastCons46wayPrimates track" set xlabel " phastCons46wayPrimates score" set ylabel " Relative Frequency" set y2label " Cumulative Relative Frequency (CRF)" set y2range [0:1] set y2tics set yrange [0:0.02] plot "histogram.data" using 2:5 title " RelFreq" with impulses, \ "histogram.data" using 2:7 axes x1y2 title " CRF" with lines '_EOF_' # << happy emacs display histo.png & ######################################################################## ### Create a phastCons data set for Placentals # setup placental-only run ssh swarm mkdir /hive/data/genomes/hg19/bed/multiz46way/cons/placental cd /hive/data/genomes/hg19/bed/multiz46way/cons/placental cp -p ../../4dNoX/phyloFit.NoChrX.placentals.mod placental.mod cp -p ../../4dX/phyloFit.chrX.placentals.mod placental.chrX.mod # placental-only: exclude all but these for phastCons tree: # and place the removed ones in the non-inf file so phastCons will # truly ignore them: echo "macEug1,monDom5,ornAna1,galGal3,taeGut1,anoCar1,xenTro2,tetNig2,fr2,gasAcu1,oryLat2,danRer6,petMar1" \ > placental.non-inf gensub2 ../run.cons/ss.list single ../run.cons/template jobList para -ram=8g create jobList para try ... check ... push ... etc. # Completed: 581 of 581 jobs # CPU time in finished jobs: 33942s 565.69m 9.43h 0.39d 0.001 y # IO & Wait Time: 75536s 1258.94m 20.98h 0.87d 0.002 y # Average job time: 188s 3.14m 0.05h 0.00d # Longest finished job: 417s 6.95m 0.12h 0.00d # Submission to last job: 1878s 31.30m 0.52h 0.02d # create Most Conserved track cut -f1 ../../../../chrom.sizes | while read C do ls -d bed/${C}.[0-9][0-9] 2> /dev/null | while read D do cat ${D}/${C}*.bed done | sort -k1,1 -k2,2n \ | awk '{printf "%s\t%d\t%d\tlod=%d\t%s\n", "'${C}'", $2, $3, $5, $5;}' done > tmpMostConserved.bed /cluster/bin/scripts/lodToBedScore tmpMostConserved.bed > mostConserved.bed # load into database ssh hgwdev cd /hive/data/genomes/hg19/bed/multiz46way/cons/placental time nice -n +19 hgLoadBed hg19 phastConsElements46wayPlacental \ mostConserved.bed # Loaded 3743478 elements of size 6 # real 1m15.952s # verify coverage featureBits hg19 phastConsElements46wayPlacental # 118211444 bases of 2897316137 (4.080%) in intersection # --rho 0.3 --expected-length 45 --target-coverage 0.3 featureBits hg19 -enrichment refGene:cds phastConsElements46wayPlacental # refGene:cds 1.187%, phastConsElements46wayPlacental 4.080%, # both 0.861%, cover 72.59%, enrich 17.79x featureBits hg19 -enrichment ensGene:cds phastConsElements46wayPlacental # ensGene:cds 1.252%, phastConsElements46wayPlacental 4.080%, # both 0.879%, cover 70.22%, enrich 17.21x # Create the downloads .pp files, from which the phastCons wiggle data # is calculated # sort by chromName, chromStart so that items are in numerical order # for wigEncode cd /hive/data/genomes/hg19/bed/multiz46way/cons/placental mkdir downloads cat << '_EOF_' > phastCat.sh #!/bin/sh mkdir -p downloads cut -f1 ../../../../chrom.sizes | while read C do echo -n "${C} ... working ... " ls -d pp/${C}.[0-9][0-9] 2> /dev/null | while read D do cat ${D}/${C}*.pp | sed -e "s/chrom=${C}.[0-9][0-9]/chrom=${C}/" done | gzip > downloads/${C}.phastCons46way.placental.wigFix.gz echo "done" done '_EOF_' # << happy emacs chmod +x ./phastCat.sh time nice -n +19 ./phastCat.sh # Create merged posterier probability file and wiggle track data files zcat downloads/chr*.wigFix.gz \ | wigEncode stdin phastCons46wayPlacental.wig \ phastCons46wayPlacental.wib # Converted stdin, upper limit 1.00, lower limit 0.00 # real 14m53.395s # encode to bigWig # (warning wigToBigWig process grows to about 36 Gb) # in bash, to avoid the 32 Gb memory limit: sizeG=188743680 export sizeG ulimit -d $sizeG ulimit -v $sizeG zcat downloads/*.wigFix.gz \ | wigToBigWig stdin ../../../../chrom.sizes phastCons46wayPlacental.bw # real 40m55.568s ln -s `pwd`/phastCons46wayPlacental.bw /gbdb/hg19/bbi # loading bigWig table: hgsql hg19 -e 'drop table if exists phastCons46wayPlacental; \ create table phastCons46wayPlacental \ (fileName varchar(255) not null); \ insert into phastCons46wayPlacental values ("/gbdb/hg19/bbi/phastCons46wayPlacental.bw");' ## load table with wiggle data ssh hgwdev cd /hive/data/genomes/hg19/bed/multiz46way/cons/placental ln -s `pwd`/phastCons46wayPlacental.wib \ /gbdb/hg19/multiz46way/phastCons46wayPlacental.wib time nice -n +19 hgLoadWiggle -pathPrefix=/gbdb/hg19/multiz46way hg19 \ phastCons46wayPlacental phastCons46wayPlacental.wig wigTableStats.sh hg19 phastCons46wayPlacental # db.table min max mean count sumData hg19.phastCons46wayPlacental 0 1 0.0885757 2845303719 2.52025e+08 # stdDev viewLimits # 0.210242 viewLimits=0:1 # Create histogram to get an overview of all the data time nice -n +19 hgWiggle -doHistogram \ -hBinSize=0.001 -hBinCount=1000 -hMinVal=0.0 -verbose=2 \ -db=hg19 phastCons46wayPlacental > histogram.data 2>&1 # real 8m15.623s # create plot of histogram: cat << '_EOF_' | gnuplot > histo.png set terminal png small color x000000 xffffff xc000ff x66ff66 xffff00 x00ffff set size 1.4, 0.8 set key left box set grid noxtics set grid ytics set title " Human Hg19 Histogram phastCons46wayPlacental track" set xlabel " phastCons46wayPlacental score" set ylabel " Relative Frequency" set y2label " Cumulative Relative Frequency (CRF)" set y2range [0:1] set y2tics set yrange [0:0.02] plot "histogram.data" using 2:5 title " RelFreq" with impulses, \ "histogram.data" using 2:7 axes x1y2 title " CRF" with lines '_EOF_' # << happy emacs display histo.png & ######################################################################### # phyloP conservation for 46-way (DONE - 2009-10-21,2009-11-10 - Hiram) # # Vertebrate, Placental, Primates # # split SS files into 1M chunks, this business needs smaller files # to complete ssh swarm mkdir /hive/data/genomes/hg19/bed/multiz46way/consPhyloP cd /hive/data/genomes/hg19/bed/multiz46way/consPhyloP mkdir ss run.split cd run.split cat << '_EOF_' > doSplit.csh #!/bin/csh -ef set c = $1 set MAF = /hive/data/genomes/hg19/bed/multiz46way/splitRun/maf/hg19_$c.maf set WINDOWS = /hive/data/genomes/hg19/bed/multiz46way/consPhyloP/run.split/ss/$c set WC = `cat $MAF | wc -l` set NL = `grep "^#" $MAF | wc -l` if ( -s $2 ) then exit 0 endif if ( -s $2.running ) then exit 0 endif date >> $2.running rm -fr $WINDOWS mkdir $WINDOWS pushd $WINDOWS > /dev/null if ( $WC != $NL ) then /cluster/bin/phast.build/cornellCVS/phast.2009-10-19/bin/msa_split \ $MAF -i MAF -o SS -r $WINDOWS/$c -w 1000000,0 -I 1000 -B 5000 endif popd > /dev/null date >> $2 rm -f $2.running '_EOF_' # << happy emacs ls -1S -r ../../splitRun/maf | sed -e "s/.maf//; s/hg19_//" > maf.list cat << '_EOF_' > template #LOOP doSplit.csh $(path1) {check out exists+ done/$(path1).done} #ENDLOOP '_EOF_' # << happy emacs mkdir ss done gensub2 maf.list single template jobList para -ram=8g create jobList # Completed: 504 of 504 jobs # CPU time in finished jobs: 14486s 241.43m 4.02h 0.17d 0.000 y # IO & Wait Time: 306280s 5104.67m 85.08h 3.54d 0.010 y # Average job time: 636s 10.61m 0.18h 0.01d # Longest finished job: 1635s 27.25m 0.45h 0.02d # Submission to last job: 2965s 49.42m 0.82h 0.03d # run phyloP with score=LRT ssh swarm cd /cluster/data/hg18/bed/multiz44way/consPhyloP mkdir run.phyloP cd run.phyloP # Adjust model file base composition background and rate matrix to be # representative of the chromosomes in play grep BACKGROUND ../../cons/all/all.mod | awk '{printf "%0.3f\n", $3 + $4}' # 0.542 /cluster/bin/phast.build/cornellCVS/phast.2009-10-21/bin/modFreqs \ ../../cons/all/all.mod 0.542 > all.mod grep BACKGROUND ../../cons/all/all.chrX.mod \ | awk '{printf "%0.3f\n", $3 + $4}' # 0.503 /cluster/bin/phast.build/cornellCVS/phast.2009-10-21/bin/modFreqs \ ../../cons/all/all.chrX.mod 0.503 > all.chrX.mod grep BACKGROUND ../../cons/primates/primates.mod \ | awk '{printf "%0.3f\n", $3 + $4}' # 0.523 /cluster/bin/phast.build/cornellCVS/phast.2009-10-21/bin/modFreqs \ ../../cons/primates/primates.mod 0.523 > primates.mod grep BACKGROUND ../../cons/primates/primates.chrX.mod \ | awk '{printf "%0.3f\n", $3 + $4}' # 0.491 /cluster/bin/phast.build/cornellCVS/phast.2009-10-21/bin/modFreqs \ ../../cons/primates/primates.chrX.mod 0.491 > primates.chrX.mod grep BACKGROUND ../../cons/placental/placental.mod \ | awk '{printf "%0.3f\n", $3 + $4}' # 0.542 /cluster/bin/phast.build/cornellCVS/phast.2009-10-21/bin/modFreqs \ ../../cons/placental/placental.mod 0.542 > placental.mod grep BACKGROUND ../../cons/placental/placental.chrX.mod \ | awk '{printf "%0.3f\n", $3 + $4}' # 0.489 /cluster/bin/phast.build/cornellCVS/phast.2009-10-21/bin/modFreqs \ ../../cons/placental/placental.chrX.mod 0.489 > placental.chrX.mod # repeat for chrX only tree cd /cluster/data/hg18/bed/multiz46way/4d $PHASTBIN/modFreqs 4d.chrX.mod $gc > 46way.chrX.mod ln -s `pwd`/46way.chrX.mod /usr/local/apache/golenPath/hg18/phastCons46way cat << '_EOF_' > doPhyloP.csh #!/bin/csh -fe set PHASTBIN = /cluster/bin/phast.build/cornellCVS/phast.2009-10-21/bin set f = $1 set out = $2 set cName = $f:r:r set chrDir = $f:r set n = $f:r:e set grp = $cwd:t set cons = /hive/data/genomes/hg19/bed/multiz46way/consPhyloP set tmp = $cons/tmp/$grp/$f rm -fr $tmp mkdir -p $tmp set ssSrc = "$cons/run.split/ss/$chrDir/$f" set useGrp = "$grp.mod" if ( $cName == "chrX" ) then set useGrp = "$grp.chrX.mod" endif ln -s $cons/run.phyloP/$grp.mod $tmp ln -s $cons/run.phyloP/$grp.chrX.mod $tmp pushd $tmp > /dev/null $PHASTBIN/phyloP --method LRT --mode CONACC --wig-scores --chrom $cName \ -i SS $useGrp $ssSrc.ss > $f.wigFix popd > /dev/null mkdir -p $out:h sleep 4 mv $tmp/$f.wigFix $out rm -fr $tmp '_EOF_' # << happy emacs # Create list of chunks find ../run.split/ss -type f | sed -e "s/.ss$//; s#^../run.split/ss/##" \ > ss.list # Create template file # file1 == $chr/$chunk/file name without .ss suffix cat << '_EOF_' > template #LOOP ../run.phyloP/doPhyloP.csh $(file1) {check out line+ wigFix/$(dir1)/$(file1).wigFix} #ENDLOOP '_EOF_' # << happy emacs ###################### Running all species ####################### # setup run for all species mkdir /hive/data/genomes/hg19/bed/multiz46way/consPhyloP/all cd /hive/data/genomes/hg19/bed/multiz46way/consPhyloP/all rm -fr wigFix mkdir wigFix gensub2 ../run.phyloP/ss.list single ../run.phyloP/template jobList para create jobList para try ... check ... push ... etc ... para time # second time around 2014-02-10: # Completed: 3010 of 3010 jobs # CPU time in finished jobs: 5635021s 93917.02m 1565.28h 65.22d 0.179 y # IO & Wait Time: 162236s 2703.93m 45.07h 1.88d 0.005 y # Average job time: 1926s 32.10m 0.53h 0.02d # Longest finished job: 2890s 48.17m 0.80h 0.03d # Submission to last job: 40469s 674.48m 11.24h 0.47d # first time: # Completed: 3010 of 3010 jobs # CPU time in finished jobs: 5672403s 94540.06m 1575.67h 65.65d 0.180 y # IO & Wait Time: 51879s 864.64m 14.41h 0.60d 0.002 y # Average job time: 1902s 31.70m 0.53h 0.02d # Longest finished job: 2889s 48.15m 0.80h 0.03d # Submission to last job: 58824s 980.40m 16.34h 0.68d ssh hgwdev cd /cluster/data/hg18/bed/multiz46way/consPhyloP/run.phyloP/all find ./wigFix -type f \ | sed -e "s#^./##; s/\./ /g; s/-/ - /g" \ | sort -k1,1 -k3,3n -k4,4n | sed -e "s/ - /-/g; s/ /./g" > wigFile.list cat wigFile.list | xargs cat \ | wigEncode stdin phyloP46way.wig phyloP46way.wib > wigEncode.log 2>&1 & # Converted stdin, upper limit 6.39, lower limit -13.27 cat wigFile.list | xargs cat \ | wigToBigWig stdin ../../../../chrom.sizes phyloP46way.bw # if you wanted to use the bigWig file, loading bigWig table: ln -s `pwd`/phyloP46way.bw /gbdb/hg19/bbi hgsql hg19 -e 'drop table if exists phyloP46wayAll; \ create table phyloP46wayAll \ (fileName varchar(255) not null); \ insert into phyloP46wayAll values ("/gbdb/hg19/bbi/phyloP46way.bw");' # loading the wiggle table: ln -s `pwd`/phyloP46way.wib /gbdb/hg19/multiz46way time nice -n +19 hgLoadWiggle -pathPrefix=/gbdb/hg19/multiz46way hg19 \ phyloP46wayAll phyloP46way.wig # create download files: cat << '_EOF_' > mkDown.csh #!/bin/csh -fe foreach F (`cat wigFile.list`) set C = $F:h:t:r cat $F >> downloads/${C}.wigFix end '_EOF_' # << happy emacs chmod +x ./mkDown.csh mkdir downloads time ./mkDown.csh # real 16m19.683s time gzip downloads/chr*.wigFix # real 47m11.017s wigTableStats.sh hg19 phyloP46wayAll # db.table min max mean count sumData # hg19.phyloP46wayAll -14.08 6.424 0.0896064 2845303719 2.54957e+08 # stdDev viewLimits # 0.833186 viewLimits=-4.07632:4.25553 # that range is: 14.08+6.424 = 20.504 # Create histogram to get an overview of all the data time nice -n +19 hgWiggle -doHistogram \ -hBinSize=0.020504 -hBinCount=1000 -hMinVal=-14.08 -verbose=2 \ -db=hg19 phyloP46wayAll > histogram.data 2>&1 # real 8m15.623s # create plot of histogram: cat << '_EOF_' | gnuplot > histo.png set terminal png small color x000000 xffffff xc000ff x66ff66 xffff00 x00ffff set size 1.4, 0.8 set key left box set grid noxtics set grid ytics set title " Human Hg19 Histogram phyloP46way track, all 46 vertebrates" set xlabel " phyloP46way score, all 46 vertebrates" set ylabel " Relative Frequency" set y2label " Cumulative Relative Frequency (CRF)" set y2range [0:1] set y2tics set yrange [0:0.04] set xrange [-2:2] plot "histogram.data" using 2:5 title " RelFreq" with impulses, \ "histogram.data" using 2:7 axes x1y2 title " CRF" with lines '_EOF_' # << happy emacs display histo.png & ###################### Running the primates ####################### mkdir /hive/data/genomes/hg19/bed/multiz46way/consPhyloP/primates cd /hive/data/genomes/hg19/bed/multiz46way/consPhyloP/primates rm -fr wigFix mkdir wigFix gensub2 ../run.phyloP/ss.list single ../run.phyloP/template jobList para create jobList para try ... check ... push ... etc ... para time # Completed: 3186 of 3186 jobs # CPU time in finished jobs: 447177s 7452.95m 124.22h 5.18d 0.014 y # IO & Wait Time: 36673s 611.22m 10.19h 0.42d 0.001 y # Average job time: 152s 2.53m 0.04h 0.00d # Longest finished job: 279s 4.65m 0.08h 0.00d # Submission to last job: 4849s 80.82m 1.35h 0.06d cd /cluster/data/hg18/bed/multiz46way/consPhyloP/run.phyloP/primates find ./wigFix -type f \ | sed -e "s#^./##; s/\./ /g; s/-/ - /g" \ | sort -k1,1 -k3,3n -k4,4n | sed -e "s/ - /-/g; s/ /./g" > wigFile.list cat wigFile.list | xargs cat \ | wigEncode stdin phyloP46wayPrimates.wig phyloP46wayPrimates.wib \ > wigEncode.log 2>&1 & # Converted stdin, upper limit 0.65, lower limit -9.12 cat wigFile.list | xargs cat \ | wigToBigWig stdin ../../../../chrom.sizes phyloP46wayPrimates.bw # if you wanted to use the bigWig file, loading bigWig table: ln -s `pwd`/phyloP46wayPrimates.bw /gbdb/hg19/bbi hgsql hg19 -e 'drop table if exists phyloP46wayPrimates; \ create table phyloP46wayPrimates \ (fileName varchar(255) not null); \ insert into phyloP46wayPrimates values ("/gbdb/hg19/bbi/phyloP46wayPrimates.bw");' # loading the wiggle table: ln -s `pwd`/phyloP46wayPrimates.wib /gbdb/hg19/multiz46way time nice -n +19 hgLoadWiggle -pathPrefix=/gbdb/hg19/multiz46way hg19 \ phyloP46wayPrimates phyloP46wayPrimates.wig # create download files: mkdir downloads time ../all/mkDown.csh # real 18m44.186s time gzip downloads/chr*.wigFix # real 32m11.461s wigTableStats.sh hg19 phyloP46wayPrimates # db.table min max mean count # hg19.phyloP46wayPrimates -9.065 0.655 0.0448196 2845303719 # sumData stdDev viewLimits # 1.27525e+08 0.600051 viewLimits=-2.95544:0.655 # that range is: 9.065+0.655 = 9.720 # Create histogram to get an overview of all the data time nice -n +19 hgWiggle -doHistogram \ -hBinSize=0.00972 -hBinCount=1000 -hMinVal=-9.065 -verbose=2 \ -db=hg19 phyloP46wayPrimates > histogram.data 2>&1 # real 8m15.623s # create plot of histogram: cat << '_EOF_' | gnuplot > histo.png set terminal png small color x000000 xffffff xc000ff x66ff66 xffff00 x00ffff set size 1.4, 0.8 set key left box set grid noxtics set grid ytics set title " Human Hg19 Histogram phyloP46wayPrimates track" set xlabel " phyloP46wayPrimates score" set ylabel " Relative Frequency" set y2label " Cumulative Relative Frequency (CRF)" set y2range [0:1] set y2tics set yrange [0:0.03] set xrange [-2:0.655] plot "histogram.data" using 2:5 title " RelFreq" with impulses, \ "histogram.data" using 2:7 axes x1y2 title " CRF" with lines '_EOF_' # << happy emacs display histo.png & ###################### Running the placentals ####################### mkdir /hive/data/genomes/hg19/bed/multiz46way/consPhyloP/placentals cd /hive/data/genomes/hg19/bed/multiz46way/consPhyloP/placentals rm -fr wigFix mkdir wigFix gensub2 ../run.phyloP/ss.list single ../run.phyloP/template jobList para create jobList para try ... check ... push ... etc ... para time # Completed: 3186 of 3186 jobs # CPU time in finished jobs: 1582989s 26383.14m 439.72h 18.32d 0.050 y rY.phyloP46way.placental.wigFix.gz # IO & Wait Time: 25577s 426.29m 7.10h 0.30d 0.001 y # Average job time: 505s 8.41m 0.14h 0.01d # Longest finished job: 768s 12.80m 0.21h 0.01d # Submission to last job: 12967s 216.12m 3.60h 0.15d cd /cluster/data/hg18/bed/multiz46way/consPhyloP/run.phyloP/placental find ./wigFix -type f \ | sed -e "s#^./##; s/\./ /g; s/-/ - /g" \ | sort -k1,1 -k3,3n -k4,4n | sed -e "s/ - /-/g; s/ /./g" > wigFile.list cat wigFile.list | xargs cat \ | wigEncode stdin phyloP46wayPlacental.wig phyloP46wayPlacental.wib \ > wigEncode.log 2>&1 & # Converted stdin, upper limit 2.95, lower limit -13.28 cat wigFile.list | xargs cat \ | wigToBigWig stdin ../../../../chrom.sizes phyloP46wayPlacental.bw # loading bigWig table: ln -s `pwd`/phyloP46wayPlacental.bw /gbdb/hg19/bbi hgsql hg19 -e 'drop table if exists phyloP46wayPlacental; \ create table phyloP46wayPlacental \ (fileName varchar(255) not null); \ insert into phyloP46wayPlacental values ("/gbdb/hg19/bbi/phyloP46wayPlacental.bw");' # loading the wiggle table: ln -s `pwd`/phyloP46wayPlacental.wib /gbdb/hg19/multiz46way time hgLoadWiggle time nice -n +19 hgLoadWiggle -pathPrefix=/gbdb/hg19/multiz46way hg19 \ phyloP46wayPlacental phyloP46wayPlacental.wig # create download files: mkdir downloads time ../all/mkDown.csh # real 18m52.778s time gzip downloads/chr*.wigFix # real 46m55.550s wigTableStatus.sh hg19 phyloP46wayPlacental # db.table min max mean count sumData stdDev viewLimits # hg19.phyloP46wayPlacental -13.796 2.941 0.0359345 2845303719 1.02245e+08 # stdDev viewLimits # 0.779426 viewLimits=-3.86119:2.941 # that range is: 13.796+2.941 = 16.737 # Create histogram to get an overview of all the data time nice -n +19 hgWiggle -doHistogram \ -hBinSize=0.016737 -hBinCount=1000 -hMinVal=-13.796 -verbose=2 \ -db=hg19 phyloP46wayPlacental > histogram.data 2>&1 # real 8m15.623s # create plot of histogram: cat << '_EOF_' | gnuplot > histo.png set terminal png small color x000000 xffffff xc000ff x66ff66 xffff00 x00ffff set size 1.4, 0.8 set key left box set grid noxtics set grid ytics set title " Human Hg19 Histogram phyloP46wayPlacental track" set xlabel " phyloP46wayPlacental score" set ylabel " Relative Frequency" set y2label " Cumulative Relative Frequency (CRF)" set y2range [0:1] set y2tics set yrange [0:0.03] set xrange [-2.5:2.5] plot "histogram.data" using 2:5 title " RelFreq" with impulses, \ "histogram.data" using 2:7 axes x1y2 title " CRF" with lines '_EOF_' # << happy emacs display histo.png & ######################################################################### # LASTZ Zebrafish DanRer6 (DONE - 2009-07-08,10 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzDanRer6.2009-07-08 cd /hive/data/genomes/hg19/bed/lastzDanRer6.2009-07-08 cat << '_EOF_' > DEF # human vs X. zebrafish BLASTZ_H=2000 BLASTZ_Y=3400 BLASTZ_L=6000 BLASTZ_K=2200 BLASTZ_Q=/scratch/data/blastz/HoxD55.q # TARGET: Human hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Zebrafish danRer6 SEQ2_DIR=/scratch/data/danRer6/danRer6.2bit SEQ2_LEN=/scratch/data/danRer6/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=40 BASE=/hive/data/genomes/hg19/bed/lastzDanRer6.2009-07-08 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # establish a screen to control this job screen time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ > do.log 2>&1 & # real 1678m17.827s # failed during the chain step due to encodek cluster problems # finish that manually, then: time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ -continue=chainMerge > chainMerge.log 2>&1 & # real 167m6.930s cat fb.hg19.chainDanRer6Link.txt # 88391631 bases of 2897316137 (3.051%) in intersection # running the swap - DONE - 2009-06-02 mkdir /hive/data/genomes/danRer6/bed/blastz.hg19.swap cd /hive/data/genomes/danRer6/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzDanRer6.2009-07-08/DEF \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ -swap > swap.log 2>&1 & # real 183m21.102s cat fb.danRer6.chainHg19Link.txt # 96424507 bases of 1506896106 (6.399%) in intersection ############################################################################## # LASTZ Elephant LoxAfr3 (DONE - 2009-07-21,23 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzLoxAfr3.2009-07-21 cd /hive/data/genomes/hg19/bed/lastzLoxAfr3.2009-07-21 cat << '_EOF_' > DEF # Human vs. Elephant BLASTZ_M=50 # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Elephant SEQ2_DIR=/scratch/data/loxAfr3/loxAfr3.2bit SEQ2_LEN=/scratch/data/loxAfr3/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LIMIT=50 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzLoxAfr3.2009-07-21 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # establish a screen to control this job screen time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -noLoadChainSplit -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ > do.log 2>&1 & # real 317m32.664s # broken when it went to chaining on encodek, finish the chain then: time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -noLoadChainSplit -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -continue=chainMerge > chainMerge.log 2>&1 & # real 217m25.159s # time about 3h23m cat fb.hg19.chainLoxAfr3Link.txt # 1351200080 bases of 2897316137 (46.636%) in intersection time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -syntenicNet -continue=syntenicNet -stop=syntenicNet \ -noLoadChainSplit -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ > synNet.log 2>&1 & # real 32m40.554s time doRecipBest.pl -buildDir=`pwd` hg19 loxAfr3 > rbest.log 2>&1 # real 184m3.435s mkdir /hive/data/genomes/loxAfr3/bed/blastz.hg19.swap cd /hive/data/genomes/loxAfr3/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzLoxAfr3.2009-07-21/DEF \ -noLoadChainSplit -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -swap > swap.log 2>&1 & # real 220m16.839s cat fb.loxAfr3.chainHg19Link.txt # 1323201500 bases of 3118565340 (42.430%) in intersection ############################################################################## # TRANSMAP vertebrate.2009-07-01 build (2009-07-21 markd) vertebrate-wide transMap alignments were built Tracks are created and loaded by a single Makefile. This is available from: svn+ssh://hgwdev.soe.ucsc.edu/projects/compbio/usr/markd/svn/projs/transMap/tags/vertebrate.2009-07-01 Or on the new hgwdev, /hive/users/markd/projs/transMap/ see doc/builds.txt for specific details. ############################################################################ # AGILENT PROBES LIFTED FROM HG18 (DONE, 2009-07-28 Andy) ssh hgwdev bash mkdir /hive/data/genomes/hg19/bed/agilentProbes cd /hive/data/genomes/hg19/bed/agilentProbes for table in `echo show tables like \'agilent%\' | hgsql hg18 | tail -n +2 | grep -v Probe`; do echo $table; echo "select * from $table" | hgsql hg18 | \ tail -n +2 | cut -f2- > ${table}.hg18.bed; liftOver ${table}.hg18.bed \ /gbdb/hg18/liftOver/hg18ToHg19.over.chain.gz ${table}.hg19.{bed,unmapped}; hgLoadBed hg19 $table ${table}.hg19.bed; echo done with $table; done for unmap in *.unmapped; do table=${unmap%.hg19.unmapped} grep Deleted -A1 $unmap | grep -v Deleted | grep -v "^--" > agilentProbesHg18Unmapped/${table}.deleted.bed grep Split -A1 $unmap | grep -v Split | grep -v "^--" > agilentProbesHg18Unmapped/${table}.split.bed grep Partially -A1 $unmap | grep -v Partially | grep -v "^--" > agilentProbesHg18Unmapped/${table}.partiallyDeleted.bed done find agilentProbesHg18Unmapped/ -size 0b | xargs rm rm *hg18.bed *.unmapped bed.tab gzip *.bed tar cfz agilentProbesHg18Unmapped.tar.gz agilentProbesHg18Unmapped cd /usr/local/apache/htdocs/goldenPath/hg19 mkdir agilentProbes cd agilentProbes/ ln -s /hive/data/genomes/hg19/bed/agilentProbes/agilentProbesHg18Unmapped beds ln -s /hive/data/genomes/hg19/bed/agilentProbes/agilentProbesHg18Unmapped.tar.gz ############################################################################## # LASTZ Tetraodon TetNig2 (DONE - 2009-08-10,11 - Hiram) # This is the incorrect date/time stamp on this directory, # it should be 2009-08-10 mkdir /hive/data/genomes/hg19/bed/lastzTetNig2.2009-10-10 cd /hive/data/genomes/hg19/bed/lastzTetNig2.2009-10-10 cat << '_EOF_' > DEF # human vs tetraodon BLASTZ_Y=3400 BLASTZ_L=6000 BLASTZ_K=2200 BLASTZ_M=50 BLASTZ_Q=/scratch/data/blastz/HoxD55.q # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 SEQ1_LIMIT=5 # QUERY: Tetraodon TetNig2 - single chunk big enough to single largest item SEQ2_DIR=/scratch/data/tetNig2/tetNig2.2bit SEQ2_LEN=/scratch/data/tetNig2/chrom.sizes SEQ2_CTGDIR=/scratch/data/tetNig2/tetNig2.contigs.2bit SEQ2_CTGLEN=/scratch/data/tetNig2/tetNig2.contigs.sizes SEQ2_LIFT=/scratch/data/tetNig2/tetNig2.contigs.lift SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=50 BASE=/hive/data/genomes/hg19/bed/lastzTetNig2.2009-10-10 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # establish a screen to control this job screen time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -qRepeats=windowmaskerSdust \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ > do.log 2>&1 & # real 220m36.068s # forgot the qRepeats for tetNig2 rm axtChain/hg19.tetNig2.net time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -continue=load -qRepeats=windowmaskerSdust \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ > load.log 2>&1 & # real 5m53.096s cat fb.hg19.chainTetNig2Link.txt # 49611132 bases of 2897316137 (1.712%) in intersection # running the swap mkdir /hive/data/genomes/tetNig2/bed/blastz.hg19.swap cd /hive/data/genomes/tetNig2/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzTetNig2.2009-10-10/DEF \ -qRepeats=windowmaskerSdust \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ -swap > swap.log 2>&1 & # real 13m21.591s # forgot the qRepeats for tetNig2 rm axtChain/tetNig2.hg19.net time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzTetNig2.2009-10-10/DEF \ -continue=load -qRepeats=windowmaskerSdust \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ -swap > load.log 2>&1 & # real 4m7.559s cat fb.tetNig2.chainHg19Link.txt # 42910930 bases of 302314788 (14.194%) in intersection ############################################################################## # dbSNP BUILD 130 - PROVISIONAL REMAPPING TO BUILD 37 (DONE 8/28/09 angie) # /hive/data/outside/dbSNP/130/ was already set up during the hg18 run -- # just add hg19 coord files and go from there. cd /hive/data/outside/dbSNP/130/human/data alias wg wget --timestamping set ftpSnpDb = ftp://ftp.ncbi.nih.gov/snp/organisms/human_9606/misc/exchange # These are provisional files in an ad-hoc format. wg $ftpSnpDb/README.txt wg $ftpSnpDb/Remap_36_3_37_1.info wg $ftpSnpDb/Remap_36_3_37_1.txt.gz mv README.txt Remap_36_3_37_1_README zcat Remap_36_3_37_1.txt.gz | wc -l #18823990 # Use the remapping to transform ../ucscNcbiSnp.bed into one for hg19. # Useful columns, 1-based: 1=ID, 3=oldChr, 4=oldStart, 5=oldEnd, # 10=newChr, 11=newStart, 12=newEnd, 13=newLocType, 14=newWeight, 16=newStrand # For mappings to chr*_random, oldStart and oldEnd are empty -- skip. # Sort both hg18 snp file and remap file by {rsID,chr,start} to keep them in sync. mkdir /hive/data/outside/dbSNP/130/human/hg19 cd /hive/data/outside/dbSNP/130/human/hg19 sort -k4n,4n -k1,1 -k2n,2n ../ucscNcbiSnp.bed > /data/tmp/hg18.ucscNcbiSnp.idSorted.bed zcat ../data/Remap_36_3_37_1.txt.gz \ | sort -t " " -k1n,1n -k3,3 -k4n,4n \ > /data/tmp/Remap_36_3_37_1.txt perl -we \ 'use strict; \ sub nextMap { \ my ($rsId, undef, $oChr, $oStart, $oEnd, $nChr, $nStart, $nEnd, \ $nLocType, $nWt, $nRef, $nStr);\ do { \ ($rsId, undef, $oChr, $oStart, $oEnd, undef,undef,undef,undef, \ $nChr, $nStart, $nEnd, $nLocType, $nWt, $nRef, $nStr) = split("\t", <>); \ if (defined $nStr) { \ chomp $nStr; $nStr =~ tr/+-/01/; $oChr = "chr$oChr"; $nChr = "chr$nChr"; \ } \ $oStart--; $oEnd--; $nStart--; $nEnd--; # Yep. 0-based closed vs 1-based closed \ } while (defined $nStr && ($oEnd < 0 || $nChr eq "chrUn")); \ return ($rsId, $oChr, $oStart, $oEnd, $nChr, $nStart, $nEnd, \ $nLocType, $nWt, $nRef, $nStr); \ } # nextMap \ my ($rsId, $oChr, $oStart, $oEnd, $nChr, $nStart, $nEnd, $nLocType, $nWt, $nRef, $nStr) = \ &nextMap(); \ my ($rCount, $oCount, $tCount) = 0; \ open(my $oldF, "/data/tmp/hg18.ucscNcbiSnp.idSorted.bed") || die; \ while (my ($chr, $s, $e, $id, $str, $rn,$obs,$mt,$cn,$vn,$ah,$ahse,$fc,$lt,$wt) = \ split("\t", <$oldF>)) { \ my $thisRCount = 0; \ while (defined $oChr && $chr eq $oChr && $s == $oStart && $e == $oEnd && $id == $rsId) { \ print join("\t", $nChr,$nStart,$nEnd,$id,$nStr,$nRef,$obs,$mt,$cn,$vn,$ah,$ahse,$fc, \ $nLocType,$nWt,$nStart) \ . "\n"; \ ($rsId, $oChr, $oStart, $oEnd, $nChr, $nStart, $nEnd, $nLocType, $nWt, $nRef, $nStr) = \ &nextMap(); \ $thisRCount++; \ } \ if (defined $rsId && $id > $rsId) {warn "Slipped a cog"; last;} \ $tCount += $thisRCount; \ $rCount++ if ($thisRCount > 0); \ $oCount++; \ } \ close($oldF); print STDERR "Replaced $rCount of $oCount inputs ($tCount outputs).\n";' \ /data/tmp/Remap_36_3_37_1.txt \ | sort -k1,1 -k2n,2n -k4,4 \ > /data/tmp/hg19.ucscNcbiSnp.bed #Replaced 18693260 of 19189750 inputs (18697579 outputs). #504.562u 27.037s 8:59.57 98.5% 0+0k 0+0io 0pf+0w wc -l /data/tmp/hg19.ucscNcbiSnp.bed # 18697579 /data/tmp/hg19.ucscNcbiSnp.bed # Drum roll please... translate NCBI's encoding into UCSC's, and # perform a bunch of checks. This is where developer involvement # is most likely as NCBI extends the encodings used in dbSNP. cd /hive/data/outside/dbSNP/130/human/hg19 snpNcbiToUcsc /data/tmp/hg19.ucscNcbiSnp.bed /hive/data/genomes/hg19/hg19.2bit \ -1000GenomesRsIds=../data/1000GenomesRsIds.txt snp130 #spaces stripped from observed: #chr12 6093134 6093134 rs41402545 #Line 8049395 of /data/tmp/hg19.ucscNcbiSnp.bed: Encountered something that doesn't fit observedMixedFormat: GCAACTTCA #count of snps with weight 0 = 0 #count of snps with weight 1 = 17042465 #count of snps with weight 2 = 345274 #count of snps with weight 3 = 1017906 #count of snps with weight 10 = 291934 #Skipped 1496 snp mappings due to errors -- see snp130Errors.bed #146.837u 9.867s 4:21.63 59.8% 0+0k 0+0io 0pf+0w # Comparable to hg18.snp130, with some losses due to coord translation, loss of _randoms, # and 1496 errors (new locType or refNCBI inconsistent with new size). expr 18697579 - 291934 - 1496 #18404149 # Move hg19.ucscNcbiSnp.bed from fast tmp to slow (today) hive: gzip /data/tmp/hg19.ucscNcbiSnp.bed mv /data/tmp/hg19.ucscNcbiSnp.bed.gz hg19.ucscNcbiSnp.bed.gz # Will try not reuse hg18.snp130's giant 18G fasta file, not duplicate. # Load up main track tables. cd /hive/data/outside/dbSNP/130/human/hg19 hgLoadBed -tab -tmpDir=/data/tmp -allowStartEqualEnd \ hg19 snp130 -sqlTable=snp130.sql snp130.bed #Loaded 18404149 elements of size 17 #115.086u 21.663s 2:32:09.98 1.4% 0+0k 0+0io 1pf+0w #that is freakishly long -- lots happening today w/db move, hive recovery,... hgLoadBed -tab -onServer -tmpDir=/data/tmp -allowStartEqualEnd \ hg19 snp130Exceptions -sqlTable=$HOME/kent/src/hg/lib/snp125Exceptions.sql -renameSqlTable \ snp130Exceptions.bed #Loaded 1982828 elements of size 5 #10.500u 0.851s 1:13.42 15.4% 0+0k 0+0io 0pf+0w hgLoadSqlTab hg19 snp130ExceptionDesc ~/kent/src/hg/lib/snp125ExceptionDesc.sql \ snp130ExceptionDesc.tab # Load up sequences *from hg18 file*: hgLoadSqlTab hg19 snp130Seq ~/kent/src/hg/lib/snpSeq.sql ../snp130Seq.tab # Put in a link where one would expect to find the track build dir... ln -s /hive/data/outside/dbSNP/130/human/hg19 /hive/data/genomes/hg19/bed/snp130 # Look at the breakdown of exception categories: cd /hive/data/outside/dbSNP/130/human/hg19 cut -f 5 snp130Exceptions.bed | sort | uniq -c | sort -nr #1350217 MultipleAlignments # 495981 ObservedMismatch # 37603 ObservedTooLong # 26855 SingleClassTriAllelic # 24443 FlankMismatchGenomeShorter # 17927 SingleClassLongerSpan # 13685 SingleClassZeroSpan # 6238 FlankMismatchGenomeLonger # 3016 DuplicateObserved # 2851 SingleClassQuadAllelic # 1777 MixedObserved # 1264 NamedDeletionZeroSpan # 508 FlankMismatchGenomeEqual # 329 NamedInsertionNonzeroSpan # 121 ObservedContainsIupac # 11 RefAlleleMismatch # 2 ObservedWrongFormat #TODO: go through those above (esp snp130Errors.bed) and send some bug reports to dbSNP. ############################################################################## # ORTHOLOGOUS ALLELES IN CHIMP AND MACAQUE FOR SNP130 (DONE 8/31/09 angie) mkdir /hive/data/genomes/hg19/bed/snp130Ortho cd /hive/data/genomes/hg19/bed/snp130Ortho # Following Heather's lead in snp126orthos, filter SNPs to to keep # only those with class=single, length=1, chrom!~random; # Exclude those with exceptions MultipleAlignments, # SingleClassTriAllelic or SingleClassQuadAllelic. # Unlike snp masking, we do not filter for weight -- don't know why. awk '$5 ~ /^MultipleAlignments|SingleClassTriAllelic|SingleClassQuadAllelic/ {print $4;}' \ /hive/data/outside/dbSNP/130/human/hg19/snp130Exceptions.bed \ | sort -u \ > snp130ExcludeIds.txt awk '$3-$2 == 1 && $1 !~ /_random/ && $11 == "single" {print;}' \ /hive/data/outside/dbSNP/130/human/hg19/snp130.bed \ | grep -vFwf snp130ExcludeIds.txt \ > snp130Simple.bed #203.193u 9.197s 2:57.40 119.7% 0+0k 0+0io 0pf+0w wc -l snp130Simple.bed #12278514 snp130Simple.bed # Glom all human info that we need for the final table onto the # name, to sneak it through liftOver: rsId|chr|start|end|obs|ref|strand awk 'BEGIN{OFS="\t";} \ {print $1, $2, $3, \ $4 "|" $1 "|" $2 "|" $3 "|" $9 "|" $8 "|" $6, \ 0, $6;}' \ snp130Simple.bed > snp130ForLiftOver.bed # Map coords to chimp using liftOver. # I don't know why chimp took so much longer than macaque... the # chimp .over has fewer chains and fewer bytes than the macaque .over. mkdir run.liftOChimp cd run.liftOChimp mkdir split out splitFile ../snp130ForLiftOver.bed 25000 split/chunk cp /dev/null jobList foreach f (split/chunk*) echo liftOver $f \ /hive/data/genomes/hg19/bed/liftOver/hg19ToPanTro2.over.chain.gz \ \{check out exists out/panTro2.$f:t.bed\} out/hg19.$f:t.unmapped \ >> jobList end ssh swarm cd /hive/data/genomes/hg19/bed/snp130Ortho/run.liftOChimp para make jobList #Completed: 492 of 492 jobs #CPU time in finished jobs: 51793s 863.22m 14.39h 0.60d 0.002 y #IO & Wait Time: 3825s 63.75m 1.06h 0.04d 0.000 y #Average job time: 113s 1.88m 0.03h 0.00d #Longest finished job: 286s 4.77m 0.08h 0.00d #Submission to last job: 300s 5.00m 0.08h 0.00d # Map coords to orangutan using liftOver. mkdir ../run.liftOPon cd ../run.liftOPon mkdir out ln -s ../run.liftOChimp/split . cp /dev/null jobList foreach f (split/chunk*) echo liftOver $f \ /hive/data/genomes/hg19/bed/liftOver/hg19ToPonAbe2.over.chain.gz \ \{check out exists out/ponAbe2.$f:t.bed\} out/hg19.$f:t.unmapped \ >> jobList end para make jobList #Completed: 492 of 492 jobs #CPU time in finished jobs: 125656s 2094.26m 34.90h 1.45d 0.004 y #IO & Wait Time: 5413s 90.22m 1.50h 0.06d 0.000 y #Average job time: 266s 4.44m 0.07h 0.00d #Longest finished job: 646s 10.77m 0.18h 0.01d #Submission to last job: 649s 10.82m 0.18h 0.01d # Map coords to macaque using liftOver. mkdir ../run.liftOMac cd ../run.liftOMac mkdir out ln -s ../run.liftOChimp/split . cp /dev/null jobList foreach f (split/chunk*) echo liftOver $f \ /hive/data/genomes/hg19/bed/liftOver/hg19ToRheMac2.over.chain.gz \ \{check out exists out/rheMac2.$f:t.bed\} out/hg19.$f:t.unmapped \ >> jobList end para make jobList #Completed: 492 of 492 jobs #CPU time in finished jobs: 161612s 2693.54m 44.89h 1.87d 0.005 y #IO & Wait Time: 6218s 103.63m 1.73h 0.07d 0.000 y #Average job time: 341s 5.69m 0.09h 0.00d #Longest finished job: 727s 12.12m 0.20h 0.01d #Submission to last job: 739s 12.32m 0.21h 0.01d cd /hive/data/genomes/hg19/bed/snp130Ortho # Concatenate the chimp results, sorting by chimp pos in order to # efficiently access 2bit sequence in getOrthoSeq. The output of # that is then sorted by the glommed human info field, so that we # can use join to combine chimp and macaque results in the next step. # Ditto for macaque and orangutan. Each command pipe takes ~5 minutes: sort -k1,1 -k2n,2n run.liftOChimp/out/panTro2.chunk*.bed \ | ~/kent/src/hg/snp/snpLoad/getOrthoSeq.pl /cluster/data/panTro2/panTro2.2bit \ | sort > panTro2.orthoGlom.txt sort -k1,1 -k2n,2n run.liftOPon/out/ponAbe2.chunk*.bed \ | ~/kent/src/hg/snp/snpLoad/getOrthoSeq.pl /cluster/data/ponAbe2/ponAbe2.2bit \ | sort > ponAbe2.orthoGlom.txt sort -k1,1 -k2n,2n run.liftOMac/out/rheMac2.chunk*.bed \ | ~/kent/src/hg/snp/snpLoad/getOrthoSeq.pl /cluster/data/rheMac2/rheMac2.2bit \ | sort > rheMac2.orthoGlom.txt wc -l panTro2.orthoGlom.txt ponAbe2.orthoGlom.txt rheMac2.orthoGlom.txt # 11428526 panTro2.orthoGlom.txt # 10861969 ponAbe2.orthoGlom.txt # 9694237 rheMac2.orthoGlom.txt # Use the glommed name field as a key to join up chimp and macaque # allele data. Include glommed name from both files because if only # file 2 has a line for the key in 2.1, then 1.1 is empty. Then plop # in the orthoGlom fields from each file, which are in the same order # as the chimp and macaque columns of snp130OrthoPanTro2RheMac2. join -o '1.1 2.1 1.2 1.3 1.4 1.5 1.6 2.2 2.3 2.4 2.5 2.6' \ -a 1 -a 2 -e '?' \ panTro2.orthoGlom.txt ponAbe2.orthoGlom.txt \ | awk '{if ($1 != "?") { print $1, $3,$4,$5,$6,$7,$8,$9,$10,$11,$12; } \ else { print $2, $3,$4,$5,$6,$7,$8,$9,$10,$11,$12; }}' \ > tmp.txt join -o '1.1 2.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 1.10 1.11 2.2 2.3 2.4 2.5 2.6' \ -a 1 -a 2 -e '?' \ tmp.txt rheMac2.orthoGlom.txt \ | perl -wpe 'chomp; \ ($glom12, $glom3, $o1Chr, $o1Start, $o1End, $o1Al, $o1Strand, \ $o2Chr, $o2Start, $o2End, $o2Al, $o2Strand, \ $o3Chr, $o3Start, $o3End, $o3Al, $o3Strand) = split; \ $glomKey = ($glom12 ne "?") ? $glom12 : $glom3; \ ($rsId, $hChr, $hStart, $hEnd, $hObs, $hAl, $hStrand) = \ split(/\|/, $glomKey); \ $o1Start =~ s/^\?$/0/; $o2Start =~ s/^\?$/0/; $o3Start =~ s/^\?$/0/; \ $o1End =~ s/^\?$/0/; $o2End =~ s/^\?$/0/; $o3End =~ s/^\?$/0/; \ print join("\t", $hChr, $hStart, $hEnd, $rsId, $hObs, $hAl, $hStrand, \ $o1Chr, $o1Start, $o1End, $o1Al, $o1Strand, \ $o2Chr, $o2Start, $o2End, $o2Al, $o2Strand, \ $o3Chr, $o3Start, $o3End, $o3Al, $o3Strand) . "\n"; \ s/^.*$//;' \ | sort -k1,1 -k2n,2n > snp130OrthoPt2Pa2Rm2.bed #304.434u 27.118s 4:31.30 122.2% 0+0k 0+0io 0pf+0w wc -l snp130OrthoPt2Pa2Rm2.bed #11876029 snp130OrthoPt2Pa2Rm2.bed cd /hive/data/genomes/hg19/bed/snp130Ortho hgLoadBed -tab -onServer -tmpDir=/data/tmp -renameSqlTable \ -sqlTable=$HOME/kent/src/hg/lib/snpOrthoPanPonRhe.sql \ hg19 snp130OrthoPt2Pa2Rm2 snp130OrthoPt2Pa2Rm2.bed #Loaded 11876029 elements of size 22 #75.442u 8.828s 9:50.27 14.2% 0+0k 0+0io 0pf+0w # Cleanup fileserver: cd /hive/data/genomes/hg19/bed/snp130Ortho gzip snp130Simple.bed snp130ExcludeIds.txt snp130ForLiftOver.bed & rm -r run*/split tmp.txt *.orthoGlom.txt ############################################################################## # LASTZ Rabbit OryCun2 (DONE - 2009-08-12 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzOryCun2.2009-08-12 cd /hive/data/genomes/hg19/bed/lastzOryCun2.2009-08-12 cat << '_EOF_' > DEF # Human vs. Rabbit BLASTZ_M=50 # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Rabbit at chunk 20,000,000 all but 36 contigs can fit in a single job SEQ2_DIR=/scratch/data/oryCun2/oryCun2.2bit SEQ2_LEN=/scratch/data/oryCun2/chrom.sizes SEQ2_CTGDIR=/scratch/data/oryCun2/oryCun2.contigs.2bit SEQ2_CTGLEN=/scratch/data/oryCun2/oryCun2.contigs.sizes SEQ2_LIFT=/hive/data/genomes/oryCun2/contigs/oryCun2.contigs.lift SEQ2_CHUNK=20000000 SEQ2_LIMIT=400 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzOryCun2.2009-08-12 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # establish a screen to control this job screen time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -noLoadChainSplit -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ > do.log 2>&1 & # real 516m41.981s cat fb.hg19.chainOryCun2Link.txt # 1283994337 bases of 2897316137 (44.317%) in intersection # should have run syntenicNet in that first run time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -noLoadChainSplit -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -continue=syntenicNet -syntenicNet > syntenicNet.log 2>&1 & # about 1 hour mkdir /hive/data/genomes/oryCun2/bed/blastz.hg19.swap cd /hive/data/genomes/oryCun2/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzOryCun2.2009-08-12/DEF \ -noLoadChainSplit -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -swap -syntenicNet > swap.log 2>&1 & # real 176m35.932s cat fb.oryCun2.chainHg19Link.txt # 1260477501 bases of 2604023284 (48.405%) in intersection ############################################################################## # running syntenicNet on CavPor3 lastz (DONE - 2009-08-27 - Hiram) cd /hive/data/genomes/hg19/bed/lastzCavPor3.2009-06-04 time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -noLoadChainSplit -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -continue=syntenicNet -syntenicNet > syntenicNet.log 2>&1 & # about 44 minutes ############################################################################## # loading the lastz tables on cavPor3 - (DONE - 2009-08-28 - Hiram) # the chain.tab and link.tab files are left over from the failed load cd /hive/data/genomes/cavPor3/bed/blastz.hg19.swap/axtChain # find out their sizes, average and total: awk '{print length($0)}' chain.tab | ave stdin Q1 92.000000 median 93.000000 Q3 96.000000 average 93.651267 min 64.000000 max 109.000000 count 27186468 total 2546047186.000000 awk '{print length($0)}' link.tab | ave stdin Q1 45.000000 median 47.000000 Q3 48.000000 average 46.731871 min 22.000000 max 52.000000 count 240602108 total 11243786622.000000 cat << '_EOF_' > chainHg19Link.sql CREATE TABLE chainHg19Link ( bin smallint(5) unsigned NOT NULL default 0, tName varchar(255) NOT NULL default '', tStart int(10) unsigned NOT NULL default 0, tEnd int(10) unsigned NOT NULL default 0, qStart int(10) unsigned NOT NULL default 0, chainId int(10) unsigned NOT NULL default 0, KEY tName (tName(13),bin), KEY chainId (chainId) ) ENGINE=MyISAM max_rows=241000000 avg_row_length=50 pack_keys=1 CHARSET=latin1; '_EOF_' # << happy emacs hgsql cavPor3 < chainHg19Link.sql time hgsql -e \ 'load data local infile "link.tab" into table chainHg19Link;' cavPor3 # real 405m15.956s cd /hive/data/genomes/cavPor3/bed/blastz.hg19.swap/axtChain # and the net tracks were not loaded: time netClass -verbose=0 -noAr noClass.net cavPor3 hg19 cavPor3.hg19.net # real 40m25.078s netFilter -minGap=10 cavPor3.hg19.net \ | hgLoadNet -verbose=0 cavPor3 netHg19 stdin # real 33m24.972s (plus the featureBits below) featureBits cavPor3 chainHg19Link > fb.cavPor3.chainHg19Link.txt 2>&1 cat fb.cavPor3.chainHg19Link.txt # 1279572660 bases of 2663369733 (48.043%) in intersection ############################################################################## # DBSNP CODING ANNOTATIONS (DONE 10/12/10 angie) # Updated 10/12/10 using rebuilt hg18 snp130CodingDbSnp.bed w/corrected coords. # Originally done 9/1/09 # Repeat the coord-remapping performed for snp130 on the hg18 coding anno table. cd /hive/data/outside/dbSNP/130/human/hg19 sed -re 's/\trs([0-9]+)\t/\t\1\t/' ../snp130CodingDbSnp.bed \ | sort -k4n,4n -k1,1 -k2n,2n > /data/tmp/hg18.snp130Coding.idSorted.bed # reuse /data/tmp/Remap_36_3_37_1.txt mapping file created for snp130 above, # but first translate its coords (1-based fully-closed with 2-base-long insertions) # into ours (0-based half-open with 0-base-long insertions) and discard incompletes. perl -we \ 'while (my ($rsId, undef, $oChr, $oStart, $oEnd, $oLocType, undef,undef,undef, \ $nChr, $nStart, $nEnd, $nLocType) = split("\t", <>)) { \ next if ($oStart eq "" || $nStart eq ""); \ $oChr = "chr$oChr"; $nChr = "chr$nChr"; \ # 2-base-long insertion (loc_type==3) -> 0-base-long: \ if ($oLocType == 3) { $oEnd--; } else { $oStart--; } \ if ($nLocType == 3) { $nEnd--; } else { $nStart--; } \ print join("\t", $rsId, $oChr, $oStart, $oEnd, $nChr, $nStart, $nEnd) . "\n"; \ }' /data/tmp/Remap_36_3_37_1.txt \ > /data/tmp/Remap_36_3_37_1_ucscCoords.txt # Apply the cleaned-up mapping to id-sorted hg18 snp130CodingDbSnp: perl -we \ 'use strict; \ my ($rsId, $oChr, $oStart, $oEnd, $nChr, $nStart, $nEnd) = split("\t", <>); \ my ($rCount, $oCount, $tCount) = 0; \ open(my $oldF, "/data/tmp/hg18.snp130Coding.idSorted.bed") || die; \ while (my ($chr, $s, $e, $id, $tx, $frm, $alCount, $funcs, $als, $codons, $peps) = \ split("\t", <$oldF>)) { \ my $thisRCount = 0; \ while (defined $rsId && $rsId < $id) { \ ($rsId, $oChr, $oStart, $oEnd, $nChr, $nStart, $nEnd) = split("\t", <>); \ } \ while (defined $oChr && $chr eq $oChr && $s == $oStart && $e == $oEnd && $id == $rsId) { \ chomp $nEnd; \ print join("\t", $nChr, $nStart, $nEnd, "rs$id", $tx, $frm, \ $alCount, $funcs, $als, $codons, $peps) unless $nEnd < $nStart; \ ($rsId, $oChr, $oStart, $oEnd, $nChr, $nStart, $nEnd) = split("\t", <>); \ $thisRCount++; \ } \ $tCount += $thisRCount; \ $rCount++ if ($thisRCount > 0); \ $oCount++; \ } \ close($oldF); print STDERR "Replaced $rCount of $oCount inputs ($tCount outputs).\n";' \ /data/tmp/Remap_36_3_37_1_ucscCoords.txt \ | sort -k1,1 -k2n,2n -k4,4 \ > /data/tmp/hg19.snp130Coding.bed #Replaced 197921 of 279815 inputs (198493 outputs). #35.486u 1.515s 0:36.70 100.7% 0+0k 0+0io 0pf+0w hgLoadBed hg19 snp130CodingDbSnp -sqlTable=$HOME/kent/src/hg/lib/snp125Coding.sql \ -renameSqlTable -tab -notItemRgb -allowStartEqualEnd \ /data/tmp/hg19.snp130Coding.bed #Loaded 198459 elements of size 11 # A bit fewer than reported 198493 above, but we ditched a few with $nEnd < $nStart # (corresponding SNPs ended up in snp130Errors.bed not snp130.bed anyway). mv /data/tmp/hg19.snp130Coding.bed hg19.snp130CodingDbSnp.bed ############################################################################ # TRANSMAP vertebrate.2009-09-13 build (2009-09-20 markd) vertebrate-wide transMap alignments were built Tracks are created and loaded by a single Makefile. This is available from: svn+ssh://hgwdev.soe.ucsc.edu/projects/compbio/usr/markd/svn/projs/transMap/tags/vertebrate.2009-09-13 Or on the new hgwdev, /hive/users/markd/projs/transMap/ see doc/builds.txt for specific details. ############################################################################ # BURGE LAB DATA MAPPED WITH GEMMAPPER. PROVIDED BY THOMAS DERRIEN FROM RODERIC # GUIGO'S LAB AT CRG. (E-MAIL: thomas.derrien@crg.es). Data received on # 09/14/09. # (hartera, 2009-09-28, DONE) # 2009-12-14, hartera. Set cdsStart = cdsEnd = 0. Moved track data directory to # /hive/data/genomes/hg18/bed. # 2010-01-04, hartera. Change the data to BED format and re-loaded tables. BED # is more appropriate for this data type. # The data is too dense in places (feedback from QA) so it would be more # appropriate to have a Signal track as for the ENCODE RNA-seq data tracks. # 2010-02-09, hartera. Create bedGraph Signal subtracks for each tissue/cell # using reads/per million mapped reads as the data value. # 2010-02-17, hartera. Updated trackDb.ra entry to include views. # 2010-02-18, hartera. Loaded the bedGraph tables for the Raw Signal # subtracks. # 2010-05-15 and 2010-05-16, hartera. Re-created the Signal subtracks using # the -bed12 option of bedItemOverlapCount so that blocks are used. mkdir /hive/groups/gencode/browser/hg19/burgeRnaSeqGemMapperAlign cd /hive/groups/gencode/browser/hg19/burgeRnaSeqGemMapperAlign # Added the statements below to a script so that it can be run to fetch # all the sequences. wget --timestamping "http://genome.imim.es/~tderrien/Gencode/For_Rachel/GFF_Burge_32bp_Gencode3/GSM325476_brain_HCT168_hg18.fa.GEM_index.GRCh37.gencode.v3.annotation.GRCh37.exon.gtf.length_32.gff.gz" wget --timestamping "http://genome.imim.es/~tderrien/Gencode/For_Rachel/GFF_Burge_32bp_Gencode3/GSM325477_liver_HCT169_hg18.fa.GEM_index.GRCh37.gencode.v3.annotation.GRCh37.exon.gtf.length_32.gff.gz" wget --timestamping "http://genome.imim.es/~tderrien/Gencode/For_Rachel/GFF_Burge_32bp_Gencode3/GSM325478_heart_HCT170_hg18.fa.GEM_index.GRCh37.gencode.v3.annotation.GRCh37.exon.gtf.length_32.gff.gz" wget --timestamping "http://genome.imim.es/~tderrien/Gencode/For_Rachel/GFF_Burge_32bp_Gencode3/GSM325479_skelMuscle_HCT171_hg18.fa.GEM_index.GRCh37.gencode.v3.annotation.GRCh37.exon.gtf.length_32.gff.gz" wget --timestamping "http://genome.imim.es/~tderrien/Gencode/For_Rachel/GFF_Burge_32bp_Gencode3/GSM325480_colon_hg18.fa.GEM_index.GRCh37.gencode.v3.annotation.GRCh37.exon.gtf.length_32.gff.gz" wget --timestamping "http://genome.imim.es/~tderrien/Gencode/For_Rachel/GFF_Burge_32bp_Gencode3/GSM325481_adipose_hg18.fa.GEM_index.GRCh37.gencode.v3.annotation.GRCh37.exon.gtf.length_32.gff.gz" wget --timestamping "http://genome.imim.es/~tderrien/Gencode/For_Rachel/GFF_Burge_32bp_Gencode3/GSM325482_testes_hg18.fa.GEM_index.GRCh37.gencode.v3.annotation.GRCh37.exon.gtf.length_32.gff.gz" wget --timestamping "http://genome.imim.es/~tderrien/Gencode/For_Rachel/GFF_Burge_32bp_Gencode3/GSM325483_lymphNode_hg18.fa.GEM_index.GRCh37.gencode.v3.annotation.GRCh37.exon.gtf.length_32.gff.gz" wget --timestamping "http://genome.imim.es/~tderrien/Gencode/For_Rachel/GFF_Burge_32bp_Gencode3/GSM325484_HCT204_bt474_.fa.GEM_index.GRCh37.gencode.v3.annotation.GRCh37.exon.gtf.length_32.gff.gz" wget --timestamping "http://genome.imim.es/~tderrien/Gencode/For_Rachel/GFF_Burge_32bp_Gencode3/GSM325485_HCT205_HME_.fa.GEM_index.GRCh37.gencode.v3.annotation.GRCh37.exon.gtf.length_32.gff.gz" wget --timestamping "http://genome.imim.es/~tderrien/Gencode/For_Rachel/GFF_Burge_32bp_Gencode3/GSM325486_HCT202_s2468_.fa.GEM_index.GRCh37.gencode.v3.annotation.GRCh37.exon.gtf.length_32.gff.gz" wget --timestamping "http://genome.imim.es/~tderrien/Gencode/For_Rachel/GFF_Burge_32bp_Gencode3/GSM325487_HCT203_s2468.fa.GEM_index.GRCh37.gencode.v3.annotation.GRCh37.exon.gtf.length_32.gff.gz" wget --timestamping "http://genome.imim.es/~tderrien/Gencode/For_Rachel/GFF_Burge_32bp_Gencode3/GSM325488_HCT206_s2468_.fa.GEM_index.GRCh37.gencode.v3.annotation.GRCh37.exon.gtf.length_32.gff.gz" wget --timestamping "http://genome.imim.es/~tderrien/Gencode/For_Rachel/GFF_Burge_32bp_Gencode3/GSM325489_HCT207_s2468_.fa.GEM_index.GRCh37.gencode.v3.annotation.GRCh37.exon.gtf.length_32.gff.gz" # Load this data into tables for hg19. # Unzip the files: gunzip *.gff.gz # Create a file with the list of file names and tissues. ls *.gff > burgeDataFiles.txt GSM325486_HCT202_s2468 breast GSM325487_HCT203_s2468 MCF-7 GSM325488_HCT206_s2468 MB435 GSM325489_HCT207_s2468 T47D # Did not map these two as they are not 32 bp. GSM325490_brain_s1368 MAQC mixed human brain tissue/cell lines GSM325491_UHR_s247 MAQC_UHR mixed human cell lines # Edit the file above to add a tab separation between file name and tissue # name. Then remove the "read_name: " from the last field in each # file otherwise it gets included in the name and load the data into hg18. # Write a script to do this: cat << '_EOF_' > formatAndLoadData #!/bin/bash -e # Assign variables # Tab-separated file of file names and tissue/cell line names DATAFILES=$1 # track name used as prefix for subtracks TRACK=$2 # database DATABASE=$3 cat $DATAFILES | while read file tissue; do subTrack=`echo $TRACK$tissue` echo $subTrack sed -e 's/read_name:\s//' $file > ${subTrack}.gff ldHgGene -exon=read $DATABASE ${subTrack} ${subTrack}.gff done '_EOF_' chmod +x formatAndLoadData ./formatAndLoadData burgeDataFiles.txt burgeRnaSeqGemMapperAlign hg19 \ >& load.log & # Took about 2 hours to load the tables. # Copy trackDb entry in hg18 trackDb.ra to # ccds/trunk/gencode/browser/trackDb/human/hg19/trackDb.ra # 2009-12-14, Need to change cdsStart = cdsEnd = 0 in the tables as this # data should have no CDS defined. Currently cdsStart = cdsEnd = txEnd. cd /hive/groups/gencode/browser/hg19/burgeRnaSeqGemMapperAlign hgsql -Ne 'show tables like "burge%";' hg19 > burgeTables foreach t (`cat burgeTables`) echo $t hgsql -e "update $t set cdsStart = 0;" hg19 hgsql -e "update $t set cdsEnd = 0;" hg19 end # Then move data to directory in hg19 genome bed directory cd /hive/data/genomes/hg19/bed mv /hive/groups/gencode/browser/hg19/burgeRnaSeqGemMapperAlign ./ # 2010-01-04 Change the data to BED format. For genePred format, # there is always a track configuration added for colouring tracks by # genomic codons which does not make sense for this data. Also, BED is # more appropriate for this data type. cd /hive/data/genomes/hg19/bed/burgeRnaSeqGemMapperAlign # Convert gff to genePred and then genePred to BED, drop old table and # then load database with BED format data. Need to fix the cdStart and # cdsEnd fields to be 0. foreach f (`ls burgeRnaSeqGemMapperAlign*.gff`) echo $f >> bed.log set g=$f:r echo $g ldHgGene -exon=read -nobin -out=${g}.gp hg19 $g $f >>& bed.log awk 'BEGIN {FS="\t"} {OFS="\t"} {print $1,$2,$3,$4,$5,0,0,$8,$9,$10}' \ ${g}.gp > ${g}Fixed.gp genePredToBed ${g}Fixed.gp > ${g}.bed echo "Dropping table $g" hgsql -e "drop table ${g};" hg19 hgLoadBed hg19 $g ${g}.bed >>& bed.log end # Changed track type in trackDb/human/trackDb.ra to bed 12 and # then did make alpha in trackDb directory. # trackDb/human/trackDb.ra entry was updated to include views for Raw Signal # and Alignment subtracks (2010-02-17) # 2010-05-15 and 2010-05-16. Add a Signal track so it is easier to view the data in # regions where there is a high density of reads. cd /hive/data/genomes/hg19/bed/burgeRnaSeqGemMapperAlign # Use bedItemOverlapCount to get counts of overlapping items for each base. # Need to sort the bed files and then get the number of reads mapped for # that tissue. Divide the counts by the number of million mapped reads to # get the number of reads per million mapped reads as the data value. # Re-make the subtracks using the -bed12 option so that blocks are used # instead of just the first three fields of the BED file as is the default. rm *.count *.bedGraph foreach f (`ls *.bed`) echo $f set g=$f:r sort $f | bedItemOverlapCount -bed12 hg19 stdin > ${f}.count set size=`hgsql -Ne "select count(distinct name) from ${g};" hg19` awk -v size=${size} 'BEGIN {OFS="\t"} {print $1,$2,$3,($4 / (size/1000000));}' ${f}.count > ${g}.bedGraph end # Load the bedGraph tables into the database as Raw Signal tracks. foreach f (`ls *.bedGraph`) echo $f set g=$f:r hgsql -e "drop table ${g}AllRawSignal;" hg19 hgLoadBed -bedGraph=4 hg19 ${g}AllRawSignal $f >>& loadSignal.log end ########################################################################## # BUILD ALLEN BRAIN TRACK (DONE 09/30/09 kent) # Make the working directory ssh hgwdev cd /cluster/data/hg19/bed mkdir allenBrain cd allenBrain # Remap the probe alignments from mm7 to hg19 zcat /gbdb/mm9/liftOver/mm9ToHg19.over.chain.gz \ | pslMap -chainMapFile -swapMap \ /cluster/data/mm9/bed/allenBrain/allenBrainAli.psl stdin stdout \ | sort -k 14,14 -k 16,16n > unscored.psl pslRecalcMatch unscored.psl /cluster/data/hg19/hg19.2bit \ /cluster/data/mm9/bed/allenBrain/allenBrainProbes.fa allenBrainAli.psl # Load the database hgsql hg19 < ~/kent/src/hg/lib/allenBrainUrl.sql hgsql hg19 -e 'load data local infile "/cluster/data/mm9/bed/allenBrain/allenBrainUrl.tab" into table allenBrainUrl;' hgLoadPsl hg19 allenBrainAli.psl mkdir /gbdb/hg19/allenBrain ln -s /cluster/data/mm9/bed/allenBrain/allenBrainProbes.fa /gbdb/hg19/allenBrain/allenBrainProbes.fa hgLoadSeq hg19 /gbdb/hg19/allenBrain/allenBrainProbes.fa # Make mapping between ens genes and allenBrain hgMapToGene hg19 allenBrainAli -type=psl ensGene ensToAllenBrain ############################################################################# # ADD ALLEN BRAIN CORTEXT LINK (DONE, 11/18/09 kent) # Copy over version from hg18 since we don't have new data from Allen Brain # Inst. cd /cluster/data/hg19/bed/allenBrain cp /cluster/data/hg18/bed/allenBrain/allenBrainGene.tab . # Load it into database. hgsql hg19 < ~/src/hg/lib/allenBrainGene.sql hgsql hg19 -e \ 'load data local infile "allenBrainGene.tab" into table allenBrainGene' ############################################################################ ## Annotate 46-way multiple alignment with gene annotations ## (DONE - 2008-12-08,23 - Hiram) # Gene frames ## survey all genomes to see what type of gene track to use ssh hgwdev mkdir /hive/data/genomes/hg19/bed/multiz46way/frames cd /hive/data/genomes/hg19/bed/multiz46way/frames # # survey all the genomes to find out what kinds of gene tracks they have cat << '_EOF_' > showGenes.csh #!/bin/csh -fe foreach db (`cat ../species.list`) echo -n "${db}: " set tables = `hgsql $db -N -e "show tables like '%Gene%'"` foreach table ($tables) if ($table == "ensGene" || $table == "refGene" || $table == "mgcGenes" || \ $table == "ensGene" || $table == "xenoRefGene" ) then set count = `hgsql $db -N -e "select count(*) from $table"` echo -n "${table}: ${count}, " endif end set orgName = `hgsql hgcentraltest -N -e \ "select scientificName from dbDb where name='$db'"` set orgId = `hgsql hg19 -N -e \ "select id from organism where name='$orgName'"` if ($orgId == "") then echo "Mrnas: 0" else set count = `hgsql hg19 -N -e "select count(*) from gbCdnaInfo where organism=$orgId"` echo "Mrnas: ${count}" endif end '_EOF_' # << happy emacs chmod +x ./showGenes.csh # rearrange that output to create four sections: # 1. ensGenes for hg19, mm9, rn4 # 2. ensGene for almost everything else # 3. xenoRefGene for calJac1, petMar1, loxAfr3, papHam1, macEug1, oryCun2 mkdir genes # ensGene for DB in hg19 mm9 rn4 do hgsql -N -e "select name,chrom,strand,txStart,txEnd,cdsStart,cdsEnd,exonCount,exonStarts,exonEnds from ensGene" ${DB} \ | genePredSingleCover stdin stdout | gzip -2c \ > /scratch/tmp/${DB}.tmp.gz mv /scratch/tmp/${DB}.tmp.gz genes/$DB.gp.gz echo "${DB} done" done echo "panTro2 gorGor1 ponAbe2 rheMac2 tarSyr1 micMur1 otoGar1 \ tupBel1 dipOrd1 cavPor3 speTri1 ochPri2 vicPac1 turTru1 \ bosTau4 equCab2 felCat3 canFam2 myoLuc1 pteVam1 eriEur1 sorAra1 \ proCap1 echTel1 dasNov2 choHof1 monDom5 ornAna1 galGal3 \ taeGut1 anoCar1 xenTro2 tetNig2 fr2 gasAcu1 oryLat2 danRer6" \ | sed -e "s/ */ /g" > ensGene.list do # ensGene for DB in panTro2 gorGor1 ponAbe2 rheMac2 tarSyr1 micMur1 otoGar1 \ tupBel1 dipOrd1 cavPor3 speTri1 ochPri2 vicPac1 turTru1 \ bosTau4 equCab2 felCat3 canFam2 myoLuc1 pteVam1 eriEur1 sorAra1 \ proCap1 echTel1 dasNov2 choHof1 monDom5 ornAna1 galGal3 \ taeGut1 anoCar1 xenTro2 tetNig2 fr2 gasAcu1 oryLat2 danRer6 do hgsql -N -e "select name,chrom,strand,txStart,txEnd,cdsStart,cdsEnd,exonCount,exonStarts,exonEnds from ensGene" ${DB} \ | genePredSingleCover stdin stdout | gzip -2c \ > /scratch/tmp/${DB}.tmp.gz mv /scratch/tmp/${DB}.tmp.gz genes/$DB.gp.gz echo "${DB} done" done echo "calJac1 petMar1 loxAfr3 papHam1 macEug1 oryCun2" > xenoRef.list # xenoRefGene for DB in calJac1 petMar1 loxAfr3 papHam1 macEug1 oryCun2 do hgsql -N -e "select name,chrom,strand,txStart,txEnd,cdsStart,cdsEnd,exonCount,exonStarts,exonEnds from xenoRefGene" ${DB} \ | genePredSingleCover stdin stdout | gzip -2c \ > /scratch/tmp/${DB}.tmp.gz mv /scratch/tmp/${DB}.tmp.gz genes/$DB.gp.gz echo "${DB} done" done # the following single command doesn't work on any 32 Gb computer, # requires much more memory, turn it into a kluster job, see below ... # Create this command with this script: cat << '_EOF_' > mkCmd.sh #!/bin/sh echo "time (cat ../maf/*.maf | nice -n +19 genePredToMafFrames hg19 stdin stdout \\" for G in mm9 rn4 do if [ ! -s genes/${G}.gp.gz ]; then echo "missing genes/${G}.gp.gz" exit 255 fi echo -n "${G} genes/${G}.gp.gz " done echo "\\" for D in `sort ensGene.list` do if [ ! -s genes/${D}.gp.gz ]; then echo "missing genes/${D}.gp.gz" exit 255 fi echo -n "${D} genes/${D}.gp.gz " done echo "\\" for D in `sort xenoRef.list` do if [ ! -s genes/${D}.gp.gz ]; then echo "missing genes/${D}.gp.gz" exit 255 fi echo -n "${D} genes/${D}.gp.gz " done echo "\\" echo " | gzip > multiz46way.mafFrames.gz) > frames.log 2>&1" '_EOF_' # << happy emacs chmod +x ./mkCmd.sh # this doesn't work on any 32 Gb computer, requires much more memory # turn it into a kluster job, see below time (cat ../maf/*.maf | nice -n +19 genePredToMafFrames hg19 stdin stdout \ mm9 genes/mm9.gp.gz rn4 genes/rn4.gp.gz \ panTro2 genes/panTro2.gp.gz gorGor1 genes/gorGor1.gp.gz ponAbe2 genes/ponAbe2.gp.gz rheMac2 genes/rheMac2.gp.gz tarSyr1 genes/tarSyr1.gp.gz micMur1 genes/micMur1.gp.gz otoGar1 genes/otoGar1.gp.gz tupBel1 genes/tupBel1.gp.gz dipOrd1 genes/dipOrd1.gp.gz cavPor3 genes/cavPor3.gp.gz speTri1 genes/speTri1.gp.gz ochPri2 genes/ochPri2.gp.gz vicPac1 genes/vicPac1.gp.gz turTru1 genes/turTru1.gp.gz bosTau4 genes/bosTau4.gp.gz equCab2 genes/equCab2.gp.gz felCat3 genes/felCat3.gp.gz canFam2 genes/canFam2.gp.gz myoLuc1 genes/myoLuc1.gp.gz pteVam1 genes/pteVam1.gp.gz eriEur1 genes/eriEur1.gp.gz sorAra1 genes/sorAra1.gp.gz proCap1 genes/proCap1.gp.gz echTel1 genes/echTel1.gp.gz dasNov2 genes/dasNov2.gp.gz choHof1 genes/choHof1.gp.gz monDom5 genes/monDom5.gp.gz ornAna1 genes/ornAna1.gp.gz galGal3 genes/galGal3.gp.gz taeGut1 genes/taeGut1.gp.gz anoCar1 genes/anoCar1.gp.gz xenTro2 genes/xenTro2.gp.gz tetNig2 genes/tetNig2.gp.gz fr2 genes/fr2.gp.gz gasAcu1 genes/gasAcu1.gp.gz oryLat2 genes/oryLat2.gp.gz danRer6 genes/danRer6.gp.gz \ calJac1 genes/calJac1.gp.gz petMar1 genes/petMar1.gp.gz loxAfr3 genes/loxAfr3.gp.gz papHam1 genes/papHam1.gp.gz macEug1 genes/macEug1.gp.gz oryCun2 genes/oryCun2.gp.gz \ | gzip > multiz46way.mafFrames.gz) > frames.log 2>&1 # that doesn't work on any 32 Gb computer, requires much more memory # turn it into a kluster job ssh swarm cd /hive/data/genomes/hg19/bed/multiz46way/frames cat << '_EOF_' > runOne #!/bin/csh -fe set C = $1 set G = $2 cat ../maf/${C}.maf | genePredToMafFrames hg19 stdin stdout \ ${G} genes/${G}.gp.gz | gzip > parts/${C}.${G}.mafFrames.gz '_EOF_' # << happy emacs chmod +x runOne ls ../maf | sed -e "s/.maf//" > chr.list ls genes | sed -e "s/.gp.gz//" | grep -v hg19 > gene.list cat << '_EOF_' > template #LOOP runOne $(root1) $(root2) {check out exists+ parts/$(root1).$(root2).mafFrames.gz} #ENDLOOP '_EOF_' # << happy emacs mkdir parts gensub2 chr.list gene.list template jobList para -ram=8g create jobList para try ... check ... push # Completed: 4185 of 4185 jobs # CPU time in finished jobs: 72491s 1208.19m 20.14h 0.84d 0.002 y # IO & Wait Time: 1462162s 24369.36m 406.16h 16.92d 0.046 y # Average job time: 367s 6.11m 0.10h 0.00d # Longest finished job: 3165s 52.75m 0.88h 0.04d # Submission to last job: 6364s 106.07m 1.77h 0.07d # see what it looks like in terms of number of annotations per DB: find ./parts -type f | while read F do zcat ${F} done | cut -f4 | sort | uniq -c | sort -n > annotation.survey.txt 79191 rn4 108287 petMar1 139581 gorGor1 140487 taeGut1 143058 choHof1 143233 vicPac1 150073 anoCar1 154462 tarSyr1 163930 sorAra1 164575 galGal3 171191 macEug1 174221 felCat3 175831 dasNov2 177622 ornAna1 190729 eriEur1 192285 tupBel1 198052 speTri1 199639 micMur1 201731 papHam1 201961 panTro2 206170 oryCun2 209327 ponAbe2 209504 otoGar1 210860 rheMac2 212533 proCap1 212848 myoLuc1 213146 dipOrd1 213479 calJac1 215995 echTel1 220341 ochPri2 225132 loxAfr3 226689 turTru1 230903 monDom5 232025 pteVam1 232831 equCab2 236945 cavPor3 238167 bosTau4 239857 mm9 255727 canFam2 316850 xenTro2 359507 danRer6 375156 oryLat2 390076 fr2 426532 gasAcu1 434619 tetNig2 # load the resulting file ssh hgwdev cd /cluster/data/hg19/bed/multiz46way/frames find ./parts -type f | while read F do zcat ${F} done | sort -k1,1 -k2,2n > multiz46wayFrames.bed hgLoadMafFrames hg19 multiz46wayFrames stdin featureBits -countGaps hg19 multiz46wayFrames.bed # 57146632 bases of 3137161264 (1.822%) in intersection # enable the trackDb entries: # frames multiz46wayFrames # irows on # appears to work OK ############################################################################# ## create upstream refGene maf files cd /hive/data/genomes/hg19/bed/multiz46way/downloads/maf # bash script #!/bin/sh for S in 1000 2000 5000 do echo "making upstream${S}.maf" featureBits hg19 refGene:upstream:${S} -fa=/dev/null -bed=stdout \ | perl -wpe 's/_up[^\t]+/\t0/' | sort -k1,1 -k2,2n \ | /cluster/bin/$MACHTYPE/mafFrags hg19 multiz46way \ stdin stdout \ -orgs=/hive/data/genomes/hg19/bed/multiz46way/species.list \ | gzip -c > upstream${S}.maf.gz echo "done upstream${S}.maf.gz" done cd /usr/local/apache/htdocs/goldenPath/hg19/multiz46way/maf ln -s /hive/data/genomes/hg19/bed/multiz46way/downloads/maf/up*.gz . md5sum up*.gz >> md5sum.txt ############################################################################# # AFFY U133AB (Done - 2009-09-30 - Jim) # Align probes ssh swarm cd /cluster/data/hg19/bed mkdir -p affyProbes/affyU133/run cd affyProbes/affyU133/run mkdir psl ls -1 /scratch/data/hg19/nib/*.nib > genome.lst ls -1 /hive/data/outside/affyProbes/HG-U133AB_all.fa > mrna.lst cat << '_EOF_' > gsub #LOOP /cluster/bin/x86_64/blat -fine -ooc=/scratch/data/hg19/11.ooc $(path1) $(path2) {check out line+ psl/$(root1)_$(root2).psl} #ENDLOOP '_EOF_' # << this line makes emacs coloring happy gensub2 genome.lst mrna.lst gsub jobList para create jobList para try para check para push para time #Completed: 93 of 93 jobs #CPU time in finished jobs: 21246s 354.09m 5.90h 0.25d 0.001 y #IO & Wait Time: 349s 5.82m 0.10h 0.00d 0.000 y #Average job time: 232s 3.87m 0.06h 0.00d #Longest finished job: 1650s 27.50m 0.46h 0.02d #Submission to last job: 1685s 28.08m 0.47h 0.02d # Do sort, best in genome filter. # to create affyU133.psl. pslSort dirs raw.psl tmp psl pslReps -minCover=0.3 -minAli=0.95 -nearTop=0.005 raw.psl ../affyU133.psl /dev/null rm -r raw.psl psl # Load probes and alignments into database. ssh hgwdev cd /cluster/data/hg19/bed/affyProbes/affyU133 hgLoadPsl hg19 affyU133.psl hgLoadSeq hg19 /gbdb/hgFixed/affyProbes/HG-U133AB_all.fa # Added ensToU133 table hgMapToGene hg19 affyU133 ensGene ensToU133 # trim unwanted chip-prefix to be backwards compatible with hg17 and hg18 hgsql hg19 -e 'update ensToU133 set value=substring(value,7)' # remove the trailing ";" from the value field (redmine #1685) hgsql hg19 -e 'update ensToU133 set value=trim(trailing ";" from value);' ########################################################################## # GNF ATLAS 2 (Done - 2009-09-30 - Jim) # Align probes from GNF1H chip. ssh swarm cd /cluster/data/hg19/bed mkdir -p geneAtlas2/run/psl cd geneAtlas2/run mkdir psl ls -1 /scratch/data/hg19/nib/*.nib > genome.lst ls -1 /hive/data/outside/gnf/human/atlas2/gnf1h.fa > mrna.lst cat << '_EOF_' > gsub #LOOP /cluster/bin/x86_64/blat -fine -ooc=/scratch/data/hg19/11.ooc $(path1) $(path2) {check out line+ psl/$(root1)_$(root2).psl} #ENDLOOP '_EOF_' # << this line makes emacs coloring happy gensub2 genome.lst mrna.lst gsub jobList para create jobList para try para check para push para time #Completed: 93 of 93 jobs #CPU time in finished jobs: 3299s 54.98m 0.92h 0.04d 0.000 y #IO & Wait Time: 330s 5.50m 0.09h 0.00d 0.000 y #Average job time: 39s 0.65m 0.01h 0.00d #Longest finished job: 370s 6.17m 0.10h 0.00d #Submission to last job: 477s 7.95m 0.13h 0.01d # Do sort, best in genome filter # to create gnf1h.psl. pslSort dirs raw.psl tmp psl pslReps -minCover=0.3 -minAli=0.95 -nearTop=0.005 raw.psl ../affyGnf1h.psl /dev/null rm -r raw.psl psl # Load probes and alignments from GNF1H into database. ssh hgwdev cd /hive/data/genomes/hg19/bed/geneAtlas2 hgLoadPsl hg19 affyGnf1h.psl hgLoadSeq hg19 /gbdb/hgFixed/affyProbes/gnf1h.fa grep -v U133B ../affyProbes/affyU133/affyU133.psl \ | sed -e "s/exemplar://; s/consensus://; s/U133A://" \ | sed -e "s/;//" > affyU133A.psl hgMapMicroarray gnfAtlas2.bed hgFixed.gnfHumanAtlas2MedianRatio \ affyU133A.psl affyGnf1h.psl # Loaded 44696 rows of expression data from hgFixed.gnfHumanAtlas2MedianRatio # Mapped 33186, multiply-mapped 3171, missed 48, unmapped 11510 hgLoadBed hg19 gnfAtlas2 gnfAtlas2.bed # Loaded 36357 elements of size 15 # Added ensToGnf1h table hgMapToGene hg19 affyGnf1h ensGene ensToGnf1h ########################################################################## # BUILD NIBB IMAGE PROBES (DONE 2009-10-12 JK) # Make directory on san for cluster job and copy in sequence ssh swarm mkdir /hive/data/genomes/hg19/bed/nibbPics cd /hive/data/genomes/hg19/bed/nibbPics cp /cluster/data/xenTro1/bed/nibbPics/nibbImageProbes.fa . # Make parasol job dir and sequence list files mkdir run cd run mkdir psl ls -1 /scratch/data/hg19/nib/*.nib > genome.lst echo ../nibbImageProbes.fa > mrna.lst # Create parasol gensub file file cat << '_EOF_' > gsub #LOOP blatz -rna -minScore=6000 -out=psl $(path1) $(path2) psl/$(root1)_$(root2).psl #ENDLOOP '_EOF_' # << emacs # Create parasol batch gensub2 genome.lst mrna.lst gsub spec para create spec # Do para try/push/time etc. #Completed: 93 of 93 jobs #CPU time in finished jobs: 8008s 133.47m 2.22h 0.09d 0.000 y #IO & Wait Time: 364s 6.07m 0.10h 0.00d 0.000 y #Average job time: 90s 1.50m 0.03h 0.00d #Longest finished job: 765s 12.75m 0.21h 0.01d #Submission to last job: 824s 13.73m 0.23h 0.01d # Make sort and filter catDir psl | sort -k 10 \ | pslReps stdin stdout /dev/null -nohead -minAli=0.60 -nearTop=0.001 -minCover=0.10 -minNearTopSize=80 \ | sort -k 14,14 -k 16,16n \ | sed 's#/scratch/data/hg19/nib/chr#chr#' \ | sed 's/.nib//' > ../nibbImageProbes.psl # Make bed file and copy in stuff ssh hgwdev cd /hive/data/genomes/hg19/bed/nibbPics cp /cluster/data/xenTro1/bed/nibbPics/nibbImageProbes.fa . # Load into database ln -s /cluster/data/hg19/bed/nibbPics/nibbImageProbes.fa /gbdb/hg19/nibbImageProbes.fa hgLoadSeq hg19 /gbdb/hg19/nibbImageProbes.fa hgLoadPsl hg19 nibbImageProbes.psl ########################################################################## # Initial vgProbeTrack run for hg19 (galt 2009-10-15) # see visiGene.txt make doc # uses nibbImageProbes and vgProbeTrack utility # creates vgAllProbes and ensToVisiGene # 25931 # updates visiGene.vgPrbAliAll. # creates and runs hgLoadSeq on /gbdb/hg19/visiGene/*.fa ########################################################################## # make new grp table to match hg18 (DONE 2009-10-01 kuhn) # to split regulation from expression # phenDis group is also missing in hg19 # and add one more column: defaultIsClosed # get the hg18.grp table into hg19 # copy the hg18.grp table into hg19.grpNew and edit hgsql hg19 CREATE TABLE grpNew SELECT * FROM hg18.grp; # 24 rows in set (0.00 sec) DELETE FROM grpNew WHERE name LIKE "encode%"; DELETE FROM grpNew WHERE name LIKE "remc%"; DELETE FROM grpNew WHERE name LIKE "tcga%"; DELETE FROM grpNew WHERE name LIKE "cancer%"; DELETE FROM grpNew WHERE name LIKE "jk%"; # 10 rows in set (0.00 sec) # move the new table into place quickly DROP TABLE grp; RENAME TABLE grpNew TO grp; ######################################################################### # BUILD OMIM RELATED GENES TRACK (done 2009-10-13 jk) ssh hgwdev cd /hive/data/genomes/hg19/bed mkdir omimGene cd omimGene # download the file morbidmap and genemap from OMIM mkdir omim cd omim wget --timestamping ftp://ftp.ncbi.nih.gov/repository/OMIM/morbidmap wget --timestamping ftp://ftp.ncbi.nih.gov/repository/OMIM/genemap cat genemap|sed -e 's/|/\t/g' > genemap.tab autoSql ~/src/hg/lib/omimGeneMap.as x cat x.sql |sed -e 's/PRIMARY KEY(numbering)/KEY(omimId)/' >omimGeneMap.sql hgLoadSqlTab -warn hg19 omimGeneMap omimGeneMap.sql genemap.tab # got warning on 3 records, just ignore them # Warning: load of omimGeneMap did not go as planned: 12216 record(s), 0 row(s) rm x.c x.h cd .. cat omim/morbidmap|sed -e 's/|/\t/g' > mobidmap.tab autoSql ~/src/hg/lib/omimMorbidMap.as x cat x.sql |sed -e 's/PRIMARY KEY(description)/KEY(omimId)/' >omimMorbidMap.sql hgLoadSqlTab -warn hg19 omimMorbidMap omimMorbidMap.sql mobidmap.tab # get all UCSC genes (from the ensGene table) that cross-reference to a RefSeq gene # that has a non-empty OMIM ID according to the refLink table. And use OMIM ID as # the gene name for this new table. Please note the alignId field still holds the KG ID. hgsql hg19 -N -e \ 'select omimId, kg.* from ensGene kg, ensToRefSeq kr, refLink l where omimId != 0 and mrnaAcc=kr.value and kg.name=kr.name ' \ |cut -f 1,3-13 >o1.tab # collect more OMIM related genes via the MIM external DB links from UniProt hgsql hg19 -N -e \ 'select extAC, kg.* from ensGene kg, kgXref k, proteome.spXref2 p where spId=p.accession and extDB="MIM" and kg.name=kgId ' \ |cut -f 1,3-13 >o2.tab # concatenate the above two gene sets and remove duplications. cat o1.tab o2.tab |sort -u >o3.tab # load the result into a temp table, fanO3 hgLoadSqlTab hg19 fanO3 ~/src/hg/lib/ensGene.sql o3.tab # while holding onto the OMIM ID, get the canonical gene (via the ensGene, knowIsoforms, # and ensCanonical tables) that represent a cluster which contains # initial OMIM gene in the fanO3 table hgsql hg19 -N -e \ 'select f3.name, kg.* from fanO3 f3, ensGene kg, ensCanonical c, ensIsoforms i where f3.alignId=i.transcript and kg.name=c.transcript and c.clusterId=i.clusterId'\ > o4.tab # first column is the OMIM ID cut -f 1 o4.tab >j1.tmp # col 3-13 is the gene structure of the canonical KG cut -f 3-13 o4.tab >j2.tmp # stitch them together and remove duplicates, load the result into fanO4 table paste j1.tmp j2.tmp |sort -u >fanO4.tab hgLoadSqlTab hg19 fanO4 ~/src/hg/lib/ensGene.sql fanO4.tab # finally sort the table and create bed 4 file and load it as the omimGene table hgsql hg19 -N -e 'select chrom, txStart, txEnd, name from fanO4 order by chrom, txStart, txEnd' |sort -u >omimGene.bed hgLoadBed hg19 omimGene omimGene.bed # create and load the omimToKnownCanonical table. hgsql hg19 -N -e 'select name, alignId from fanO4 order by name'\ > omimToKnownCanonical.tab hgLoadSqlTab hg19 omimToKnownCanonical \ ~/src/hg/lib/omimToKnownCanonical.sql omimToKnownCanonical.tab # The following clean up could be done. # hgsql hg19 -e 'drop table fanO3' # hgsql hg19 -e 'drop table fanO4' # rm j*.tmp # rm o1.tab o2.tab o3.tab o4.tab ######################################################################### # BUILD HPRD DATA FOR KNOWN GENE DETAILS PAGE LINKS (in progress 2009-10-14 jk) # Make the directory to work in cd /hive/data/genomes/hg19/bed mkdir hprd cd hprd # Download HPRD_XML_070609.tar.gz from www.hprd.org. Unfortunately this # requires registration, so can't just wget it. zcat HPRD_XML_070609.tar.gz | tar -xv # This will create 20000 or more xxxx.xml files under HPRD_XML_070609 # Create hprdToCdna table echo HPRD_XML_070609/*.xml | xargs grep entry_cdna > j.cdna cat j.cdna| sed -e 's/\//\t/' | sed -e 's/.xml/\t/' |\ sed -e 's/<entry_cdna>/\t/' | sed -e 's/<\//\t/'| sed -e 's/\./\t/'| cut -f 2,4|\ grep -v None >hprdToCdna.tab hgsql hg19 <~/src/hg/lib/hprdToCdna.sql hgsql hg19 -e 'load data local infile "hprdToCdna.tab" into table hprdToCdna' # Create hprdToUniProt table echo 'fgrep -H Swiss HPRD_XML_070609/$1.xml' >do1 ls HPRD_XML_070609 >j cat j |sed -e 's/.xml/\tdo1/g' >jj cut -f 1 jj >j.2 cut -f 2 jj >j.1 paste j.1 j.2 >doall chmod +x do* ./doall >j.out cat j.out|grep SwissProt | sed -e 's/\//\t/' | sed -e 's/.xml/\t/' | \ sed -e 's/Prot>/\t/' | sed -e 's/<\//\t/'| cut -f 2,4|grep -v None >hprdToUniProt.tab hgsql hg19 <~/src/hg/lib/hprdToUniProt.sql hgsql hg19 -e 'load data local infile "hprdToUniProt.tab" into table hprdToUniProt' # build ensToHprd table hgsql hg19 -N -e 'select kgId,hprdId from hprdToCdna, kgXref where cdnaId=refseq' >j.kg1 hgsql hg19 -N -e 'select kgId,hprdId from hprdToUniProt, kgXref where uniProtId=spId' >j.kg2 cat j.kg1 j.kg2 | sed 's/_.//' | sort -u >ensToHprd.tab wc ensToHprd.tab hgsql hg19 <~/src/hg/lib/ensToHprd.sql hgsql hg19 -e 'load data local infile "ensToHprd.tab" into table ensToHprd' hgsql hg19 -e 'select count(*) from ensToHprd' # 21,516 records created # remove temporary files. rm j* ######################################################################### # hgPal downloads (DONE braney 2009-11-03) # FASTA from 46way for refGene, ensGene, ensCanonical ssh hgwdev screen bash rm -rf /cluster/data/hg19/bed/multiz46way/pal mkdir /cluster/data/hg19/bed/multiz46way/pal cd /cluster/data/hg19/bed/multiz46way/pal for i in `cat ../species.list`; do echo $i; done > order.lst # redid the refgene ones 2013-08-15 mz=multiz46way gp=refGene db=hg19 mkdir exonAA exonNuc ppredAA ppredNuc for j in `sort -nk 2 /cluster/data/$db/chrom.sizes | awk '{print $1}'` do echo "date" echo "mafGene -chrom=$j $db $mz $gp order.lst stdout | \ gzip -c > ppredAA/$j.ppredAA.fa.gz" echo "mafGene -chrom=$j -noTrans $db $mz $gp order.lst stdout | \ gzip -c > ppredNuc/$j.ppredNuc.fa.gz" echo "mafGene -chrom=$j -exons -noTrans $db $mz $gp order.lst stdout | \ gzip -c > exonNuc/$j.exonNuc.fa.gz" echo "mafGene -chrom=$j -exons $db $mz $gp order.lst stdout | \ gzip -c > exonAA/$j.exonAA.fa.gz" done > $gp.jobs nice time sh -x $gp.jobs > $gp.jobs.log 2>&1 & sleep 1 tail -f $gp.jobs.log # 1817.21user 233.92system 4:54:04elapsed 11%CPU (0avgtext+0avgdata # 920192maxresident)k # 6024inputs+0outputs (7major+1648126minor)pagefaults 0swaps mz=multiz46way gp=refGene db=hg19 zcat exonAA/*.gz | gzip -c > $gp.$mz.exonAA.fa.gz zcat exonNuc/*.gz | gzip -c > $gp.$mz.exonNuc.fa.gz zcat ppredAA/*.gz | gzip -c > $gp.$mz.ppredAA.fa.gz zcat ppredNuc/*.gz | gzip -c > $gp.$mz.ppredNuc.fa.gz rm -rf exonAA exonNuc ppredAA ppredNuc # we're only distributing exons at the moment mz=multiz46way gp=refGene db=hg19 pd=/usr/local/apache/htdocs-hgdownload/goldenPath/$db/$mz/alignments mkdir -p $pd ln -s `pwd`/$gp.$mz.exonAA.fa.gz $pd/$gp.exonAA.fa.gz ln -s `pwd`/$gp.$mz.exonNuc.fa.gz $pd/$gp.exonNuc.fa.gz mz=multiz46way gp=ensGene db=hg19 mkdir exonAA exonNuc ppredAA ppredNuc for j in `sort -nk 2 /cluster/data/$db/chrom.sizes | awk '{print $1}'` do echo "date" echo "mafGene -chrom=$j $db $mz $gp order.lst stdout | \ gzip -c > ppredAA/$j.ppredAA.fa.gz" echo "mafGene -chrom=$j -noTrans $db $mz $gp order.lst stdout | \ gzip -c > ppredNuc/$j.ppredNuc.fa.gz" echo "mafGene -chrom=$j -exons -noTrans $db $mz $gp order.lst stdout | \ gzip -c > exonNuc/$j.exonNuc.fa.gz" echo "mafGene -chrom=$j -exons $db $mz $gp order.lst stdout | \ gzip -c > exonAA/$j.exonAA.fa.gz" done > $gp.$mz.jobs time sh -x $gp.$mz.jobs > $gp.$mz.job.log 2>&1 & sleep 1 tail -f $gp.$mz.job.log # oops... missed the timing mz=multiz46way gp=ensGene db=hg19 zcat exonAA/c*.gz | gzip -c > $gp.$mz.exonAA.fa.gz zcat exonNuc/c*.gz | gzip -c > $gp.$mz.exonNuc.fa.gz zcat ppredAA/c*.gz | gzip -c > $gp.$mz.ppredAA.fa.gz zcat ppredNuc/c*.gz | gzip -c > $gp.$mz.ppredNuc.fa.gz rm -rf exonAA exonNuc ppredAA ppredNuc mz=multiz46way gp=ensGene db=hg19 pd=/usr/local/apache/htdocs/goldenPath/$db/$mz/alignments mkdir -p $pd ln -s `pwd`/$gp.$mz.exonAA.fa.gz $pd/$gp.exonAA.fa.gz ln -s `pwd`/$gp.$mz.exonNuc.fa.gz $pd/$gp.exonNuc.fa.gz # now do the canonical set cd /cluster/data/hg19/bed/multiz46way/pal mz=multiz46way gp=ensCanonical db=hg19 for j in `awk '{print $1}' /cluster/data/hg19/chrom.sizes` do echo "select chrom, chromStart, chromEnd, transcript from ensCanonical where chrom='$j'" | hgsql $db | tail -n +2 > $j.ens.bed done mkdir exonAA exonNuc ppredAA ppredNuc for j in `sort -nk 2 /cluster/data/$db/chrom.sizes | awk '{print $1}'` do echo "date" echo "mafGene -geneBeds=$j.ens.bed $db $mz ensGene order.lst stdout | \ gzip -c > ppredAA/$j.ppredAA.fa.gz" echo "mafGene -geneBeds=$j.ens.bed -noTrans $db $mz ensGene order.lst stdout | \ gzip -c > ppredNuc/$j.ppredNuc.fa.gz" echo "mafGene -geneBeds=$j.ens.bed -exons -noTrans $db $mz ensGene order.lst stdout | \ gzip -c > exonNuc/$j.exonNuc.fa.gz" echo "mafGene -geneBeds=$j.ens.bed -exons $db $mz ensGene order.lst stdout | \ gzip -c > exonAA/$j.exonAA.fa.gz" done > $gp.$mz.jobs time sh -x $gp.$mz.jobs > $gp.$mz.job.log 2>&1 & sleep 1 tail -f $gp.$mz.job.log # real 302m20.489s # user 27m31.179s # sys 5m30.071s rm *.ens.bed mz=multiz46way gp=ensCanonical db=hg19 zcat exonAA/c*.gz | gzip -c > $gp.$mz.exonAA.fa.gz zcat exonNuc/c*.gz | gzip -c > $gp.$mz.exonNuc.fa.gz zcat ppredAA/c*.gz | gzip -c > $gp.$mz.ppredAA.fa.gz zcat ppredNuc/c*.gz | gzip -c > $gp.$mz.ppredNuc.fa.gz rm -rf exonAA exonNuc ppredAA ppredNuc mz=multiz46way gp=ensCanonical db=hg19 pd=/usr/local/apache/htdocs/goldenPath/$db/$mz/alignments mkdir -p $pd ln -s `pwd`/$gp.$mz.exonAA.fa.gz $pd/$gp.exonAA.fa.gz ln -s `pwd`/$gp.$mz.exonNuc.fa.gz $pd/$gp.exonNuc.fa.gz ############################################################################ # SEGMENTAL DUPLICATIONS (2010-02-02 - 2010-02-04, hartera, DONE) # (2011-09-26, Fan, REBUILT using corrected data from provider) # File emailed from Tin Louie <tinlouie at u.washington.edu> # in Evan Eichler's lab on 01/28/10. This is a data update since it was # thought that the last data set was incorrect so the pipeline had to be # re-run. # NOTE: Received e-mail from Tin Louie suggesting that the otherSize # column could be dropped. It is just the size of the otherChrom and it # does not seem to be used for the track display or details page. It has the # correct description in the table schema so it is ok to keep it for now. # In the future, this column could be dropped if it not useful. # There are a number of columns that could be dropped as they are # meaningless but decided to keep them as the code for the details page # expect them to be there. # 01/28/10 Received new data as previous run of the pipeline may have # produced incorrect results. # 2010-02-02 Loader aborted on data since in some lines there was an empty # field so the loader read only 28 words instead of 29. E-mailed Tin to # ask for the data to be fixed. # 2010-02-03 Received new data as the previous data had empty fields. # 2010-02-04 Loaded new data into hg19 database. # 2010-02-09 Received new data on 02/08/10 as there were more errors in the # code that caused the data to have empty fields. # 2010-02-19 Changed the posBasesHit column values to match those for hg18. # 2011-09-26 Rebuilt, using corrected (10th col) from data provider. # In hg18, they are all 1000, but this is meaningless. mkdir /hive/data/genomes/hg19/bed/genomicSuperDups/0926_2011 cd /hive/data/genomes/hg19/bed/genomicSuperDups/0926_2011 wget --timestamping \ ftp://mesh.gs.washington.edu/pub/UCSC/hg19genomicSuperDups.fixed.tab.gz gunzip hg19genomicSuperDups.fixed.tab.gz # Fix incorrect chromosome names in data. Check both chrom and otherChrom. # Previously, found several cases where the last letter of random was # missing for the names of the random contigs. They all look good this # time. awk '{print $1}' hg19genomicSuperDups.fixed.tab | sort | uniq > chroms awk '{print $7}' hg19genomicSuperDups.fixed.tab | sort | uniq > otherChroms hgsql -Ne 'select chrom from chromInfo;' hg19 | sort | uniq > chromInfo.txt comm -23 chroms chromInfo.txt comm -23 otherChroms chromInfo.txt # chroms and otherChroms match chromosome names in chromInfo. # The sed command is necessary to fix "_" used as strand to "-". # The awk command was necessary for some recent other species # genomicSuperDups that had some too-short regions. It does not seem # to be necessary here, but doesn't hurt and may be useful in # future builds. hgsql -e 'drop table genomicSuperDups;' hg19 sed -e 's/\t_\t/\t-\t/' hg19genomicSuperDups.fixed.tab \ | awk '($3 - $2) >= 1000 && ($9 - $8) >= 1000 {print;}' \ | hgLoadBed hg19 genomicSuperDups stdin \ -sqlTable=$HOME/kent/src/hg/lib/genomicSuperDups.sql # Loaded 51599 elements of size 29 # Sorted # Creating table definition for genomicSuperDups # Saving bed.tab # Loading hg19 # 2009-11-05: # Updated details page with suggested text and an additional reference. # src/hg/makeDb/trackDb/genomicSuperDups.html # 2010-02-04: Updated the schema description as below in # src/hg/lib/genomicSuperDups.sql. Kept score as it is used in older # datasets e.g. on hg18 - # Suggestions by Tin Louie for the schema description: # I suggest that the description of those meaningless columns (on the webpage # 'Schema for Segmental Dups') be changed to "for future use". The meaningless # columns are: score, posBasesHit, testResult, verdict, chits, ccov # The descriptions of other columns should be changed for clarification: # otherSize -- equal to otherEnd minus otherStart # uid -- id shared by the query & subject of a hit # 2010-02-19 Changed the posBasesHit column to be 1000. Checked with # data provider about doing this so that the values are the same as for # those in the hg18 table. # hgsql -e 'update genomicSuperDups set posBasesHit = 1000;' hg19 # New corrected data fixed the above problem. ############################################################################ # ADD LINK TO GENENETWORK (DONE. 12/02/09 Fan). # Received geneNetwork ID list file, GN_human_RefSeq.txt, for hg19 from GeneNetwork, Zhou Xiaodong [xiaodong.zhou@gmail.com]. ssh hgwdev mkdir -p /cluster/data/hg19/bed/geneNetwork cd /cluster/data/hg19/bed/geneNetwork hgsql hg19 < ~/src/hg/lib/geneNetworkId.sql hgsql hg19 -e \ 'load data local infile "GN_human_RefSeq.txt" into table geneNetworkId' ######################################################################## # EXONIPHY (2009-12-28, hartera, DONE) # 2010-01-05, hartera. Moved trackDb entry for exoniphy up to human directory # level as it is the same for all assemblies. # New predictions for hg19 run by Melissa Hubisz # (mjhubisz at gmail.com) for hg19 and sent by # Adam Siepel (acs4 at cornell.edu) on 2009-12-18 mkdir -p /hive/data/genomes/hg19/bed/exoniphy.2009-12-18 cd /hive/data/genomes/hg19/bed/exoniphy.2009-12-18 # Download predictions file, exoniphy.gff wget --timestamping \ "http://compgen.bscb.cornell.edu/~acs/exoniphy.gff.gz" gunzip exoniphy.gff.gz # Remove table of lifted predictions from hg18 hgsql -e 'drop table exoniphy;' hg19 ldHgGene -genePredExt -gtf hg19 exoniphy exoniphy.gff # Read 620689 transcripts in 647299 lines in 1 files # 620689 groups 24 seqs 1 sources 4 feature types # 186601 gene predictions # Added a copy of the hg18 track description to trackDb/human/hg19 and # updated it and added a trackDb entry to the trackDb.ra there. # 2010-01-04. Moved exoniphy trackDb entry up to the human level # trackDb.ra since the entry is the same for hg16-19. Removed the entry in # trackDb.ra in each of those assembly directories. ######################################################################## # Vega gene update (DONE - 2010-01-15 - Hiram) # lookup version number at the Vega WEB site: # http://vega.sanger.ac.uk/index.html # and FTP site: # ftp://ftp.sanger.ac.uk/pub/vega/ cd /hive/data/genomes/hg19 # step wise to verify operation doEnsGeneUpdate.pl -vegaGene -ensVersion=36 -stop=download hg19.ensGene.ra doEnsGeneUpdate.pl -vegaGene -ensVersion=36 \ -continue=process -stop=process hg19.ensGene.ra doEnsGeneUpdate.pl -vegaGene -ensVersion=36 \ -continue=load -stop=load hg19.ensGene.ra doEnsGeneUpdate.pl -vegaGene -ensVersion=36 \ -continue=cleanup hg19.ensGene.ra featureBits hg19 vegaGene # 64888909 bases of 2897316137 (2.240%) in intersection featureBits hg19 vegaPseudoGene # 6885145 bases of 2897316137 (0.238%) in intersection ######################################################################## # NHGRI GWAS CATALOG (DONE 2/4/13 angie) # NOTE: This assumes that the corresponding section in hg18.txt has just been run. # It depends on the noCoords.tab file in the corresponding hg18 build directory. # 2013 updates: 2/4 # 2012 updates: 12/10, 10/4, 8/1, 6/4, 4/4, 2/21 (remove extra whitespace, translate non-ASCII to html), 2/6 # Updated 12/7/11, 11/2/11, 10/3/11, 9/2/11, 8/1/11, 6/9/11, 4/1/11 (last one to use snp131), 3/1/11, 2/1/11 # Updated 12/7/10, 11/1/10, 10/6/10, 9/1/10, 8/2/10, 6/2/10, 5/12/10 (last one to use snp130) # Updated 4/1/10, 3/1/10 # Originally done 1/19/10 mkdir /hive/data/genomes/hg19/bed/gwasCatalog cd /hive/data/genomes/hg19/bed/gwasCatalog # Done once per dbSNP build, don't need to redo until next dbSNP build is released: zcat ../snp137/snp137.bed.gz | cut -f 1-4,6,8,18,21-24 \ | sort -k4,4 \ > snp137Coords.bed set today = `date +%y%m%d` mkdir /hive/data/genomes/hg19/bed/gwasCatalog/$today cd /hive/data/genomes/hg19/bed/gwasCatalog/$today # Mapping to hg19 by joining hg19 SNP coords with catalog flatfile (see hg18.txt) join -t " " -1 4 ../snp137Coords.bed /hive/data/genomes/hg18/bed/gwasCatalog/$today/noCoords.tab \ -o 1.1,1.2,1.3,1.4,2.2,2.3,2.4,2.5,2.6,2.7,2.8,2.9,2.10,2.11,2.12,2.13,2.14,2.15,2.16,2.17,2.18,2.19,1.5,1.6,1.7,1.8,1.9,1.10,1.11 \ | sort -k1,1 -k2n,2n \ > gwasCatalogPlus.bed cut -f 1-22 gwasCatalogPlus.bed \ | hgLoadBed hg19 gwasCatalog stdin \ -tab -sqlTable=$HOME/kent/src/hg/lib/gwasCatalog.sql -notItemRgb -allowStartEqualEnd #Read 12194 elements of size 22 from stdin # For David: find examples of risk alleles for which dbSNP observed # alleles are complementary (A/T or C/G) -- how do we know what strand the # risk allele is on?? -- asked corresp. author Teri Manolio. Info is not # always available in the original publication, so sadly there is not always # a way to resolve these. GWAS catalog folks aren't going to modify their # database to add a column for these cases. hgsql hg19 -NBe 'select snp.name,gc.riskAllele,snp.strand,snp.refNcbi,snp.observed \ from gwasCatalog as gc, snp137 as snp \ where gc.riskAllele rlike "^rs[0-9]+-[ACGT]" and \ gc.name = snp.name and snp.observed in ("C/G", "A/T") \ order by gc.name;' > ambigStrand.txt wc -l ambigStrand.txt #1249 ambigStrand.txt ######################################################################## # ailMel1 Panda alignment (DONE - 2010-02-04 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzAilMel1.2010-02-04 cd /hive/data/genomes/hg19/bed/lastzAilMel1.2010-02-04 cat << '_EOF_' > DEF # Human vs. Panda # parameters from the Panda paper supplemental where they describe # their lastz parameters BLASTZ_K=2200 BLASTZ_Y=3400 BLASTZ_L=6000 BLASTZ_H=2000 BLASTZ_C=2 BLASTZ_T=2 # our usual M BLASTZ_M=50 # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Panda SEQ2_DIR=/scratch/data/ailMel1/ailMel1.2bit SEQ2_LEN=/scratch/data/ailMel1/chrom.sizes SEQ2_CHUNK=10000000 SEQ2_LIMIT=50 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzAilMel1.2010-02-04 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -noLoadChainSplit -syntenicNet \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ -chainMinScore=3000 -chainLinearGap=medium > do.log 2>&1 & # real 434m21.792s cat fb.hg19.chainAilMel1Link.txt # 1453400264 bases of 2897316137 (50.164%) in intersection mkdir /hive/data/genomes/ailMel1/bed/blastz.hg19.swap cd /hive/data/genomes/ailMel1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzAilMel1.2010-02-04/DEF \ -swap -noLoadChainSplit -syntenicNet \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ -chainMinScore=3000 -chainLinearGap=medium > swap.log 2>&1 & real 124m14.393s cat fb.ailMel1.chainHg19Link.txt # 1411953704 bases of 2245312831 (62.884%) in intersection cd /hive/data/genomes/ailMel1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # susScr1 Pig BLASTZ/CHAIN/NET (DONE - 2010-01-21 - Hiram) screen # use a screen to manage this multi-day job mkdir /hive/data/genomes/hg19/bed/lastzSusScr1.2010-01-21 cd /hive/data/genomes/hg19/bed/lastzSusScr1.2010-01-21 cat << '_EOF_' > DEF # Pig vs. Human BLASTZ_M=50 # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Pig SusScr1 SEQ2_DIR=/scratch/data/susScr1/susScr1.2bit SEQ2_LEN=/scratch/data/susScr1/chrom.sizes SEQ2_CHUNK=10000000 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzSusScr1.2010-01-21 TMPDIR=/scratch/tmp '_EOF_' # << this line keeps emacs coloring happy time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -noLoadChainSplit -syntenicNet \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=pk \ -chainMinScore=3000 -chainLinearGap=medium > do.log 2>&1 & # real 1072m48.949s cat fb.hg19.chainSusScr1Link.txt # 1198793067 bases of 2897316137 (41.376%) in intersection mkdir /hive/data/genomes/susScr1/bed/blastz.hg19.swap cd /hive/data/genomes/susScr1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzSusScr1.2010-01-21/DEF \ -swap -noLoadChainSplit -syntenicNet \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=pk \ -chainMinScore=3000 -chainLinearGap=medium > swap.log 2>&1 & # real 119m14.040s cat fb.susScr1.chainHg19Link.txt # 1272787231 bases of 2231332019 (57.042%) in intersection ######################################################################### # PERSONAL GENOME VARIANTS (DONE 12/29/09 giardine) # OBSOLETE -- see "PERSONAL GENOME VARIANTS - RELOAD" below. # This is Angie's attempt to reconstruct Belinda's steps: mkdir /hive/data/genomes/hg19/bed/pgSnpLiftOver cd /hive/data/genomes/hg19/bed/pgSnpLiftOver # liftOver track files in /hive/data/genomes/hg18/bed/pgSnp/ set hg18Dir = /hive/data/genomes/hg18/bed/pgSnp set chainFile = /hive/data/genomes/hg18/bed/liftOver/hg18ToHg19.over.chain.gz #*** Are we losing insertions here?: foreach f (NA12878.pgSnp NA12891.pgSnp NA12892.pgSnp NA19240.pgSnp \ pgWatson.bed pgYri3.txt pgSnpYh.txt) liftOver $hg18Dir/$f $chainFile $f:r.hg19.pgSnp{,.unmapped} end liftOver $hg18Dir/koref.sub.pgSnp $chainFile koref.hg19.pgSnp{,.unmapped} # Why pgVenter2? liftOver $hg18Dir/pgVenter.bed $chainFile pgVenter2.hg19.pgSnp{,.unmapped} # remove variants that are homozygous matches to hg19 cat > addRefNt.pl <<'_EOF_' #!/usr/bin/perl -w use strict; my $build = 'hg19'; my $nib = "/hive/data/genomes/hg19/nib/"; my $nibFrag = "nibFrag"; while (<>) { chomp; my @f = split(/\t/); my $ref = ''; if ($f[1] eq $f[2]) { $ref = '.'; #insertion nothing in ref }else { open(NIB, "$nibFrag $nib$f[0].nib $f[1] $f[2] + stdout |") or die "Couldn't run $nibFrag, $!\n"; while(<NIB>) { chomp; if (/^>/) { next; } $ref .= $_; } close NIB or die "Couldn't close $nibFrag, $!\n"; } #splice(@f, 3, 0, uc($ref)); #print join("\t", @f), "\n"; print join("\t", @f), "\t", uc($ref), "\n"; } '_EOF_' # << emacs chmod a+x addRefNt.pl foreach f (*.pgSnp) addRefNt.pl $f \ | perl -wpe '@w=split; s/^.*\n$// if ($w[3] eq $w[6]); s/\t\w+$//;' \ > $f:r.filtered.pgSnp end #TODO: complete attempt to reverse-engineer Belinda's work BelindasFix pgYri3.hg19.filtered.pgSnp > pgYri3.hg19.filtered.fixed.pgSnp # Load into db: foreach i (NA12878 NA12891 NA12892 NA19240 Watson) hgLoadBed -sqlTable=$HOME/kent/src/hg/lib/pgSnp.sql -renameSqlTable \ hg19 pg$i $i.hg19.filtered.pgSnp end hgLoadBed -sqlTable=$HOME/kent/src/hg/lib/pgSnp.sql -renameSqlTable \ hg19 pgVenter pgVenter2.hg19.filtered.pgSnp hgLoadBed -sqlTable=$HOME/kent/src/hg/lib/pgSnp.sql -renameSqlTable \ hg19 pgYh1 pgSnpYh1.hg19.filtered.pgSnp hgLoadBed -sqlTable=$HOME/kent/src/hg/lib/pgSnp.sql -renameSqlTable \ hg19 pgSjk koref.hg19.filtered.pgSnp hgLoadBed -sqlTable=$HOME/kent/src/hg/lib/pgSnp.sql -renameSqlTable \ hg19 pgYoruban3 pgYri3.hg19.filtered.fixed.pgSnp ######################################################################## # CRG MAPABILITY (2010-01-19 - 2010-01-28, hartera, DONE) # Data was provided by Thomas Derrien (thomas.derrien.crg.es) and Paolo Ribeca # from the Guigo lab at the Center for Genomic Regulation (CRG) in Barcelona. # Data was produced using their GEM mapper aligner taking sliding k-mers # window of the human genome that were mapped back onto the genome with up # to 2mismatches. For each window, a mappability score is computed # S = 1/(nb of match_found) and the BigWig index was created according to # this score. # 2010-01-26 Loaded tables and added data to /gbdb/ # 2010-01-28 Changed the table names to have the "enc" prefix for consistency # going forward with hg19 ENCODE tracks. Added trackDb entry for this # ENCODE Mapability track. # 2010-02-05 Added a 40mer sequence subtrack received on 2010-02-04. # 2010-03-16 - 2010-03-18. Added metadata to trackDb for the subtracks and # added downloads for the bigWig data files. # 2010-04-28. Received new data from Thomas Derrien. Downloaded data and # added it to /gbdb/. A bug was found in a library used by bedGraphToBigWig so # sent a new binary to data providers and they re-created the bigWig files. # 2010-05-11. All ENCODE tracks need to be preceded by the wgEncode prefix now # on all assemblies. Update the file names in /gbdb/hg19/bbi and the # table names. (hartera) # 2010-05-12. Added 24mer track to trackDb entry. Updated downloads with the # new data. mkdir -p /hive/data/genomes/hg19/bed/crgMapability cd /hive/data/genomes/hg19/bed/crgMapability cat << 'EOF' > temp #!/bin/tcsh -ef http://genome.imim.es/~tderrien/UCSC_Tracks/ALL_mappablity_hg19_H.sapiens.genome.hg19.main.mappability-36.bw.bz2 http://genome.imim.es/~tderrien/UCSC_Tracks/ALL_mappablity_hg19_H.sapiens.genome.hg19.main.mappability-50.bw.bz2 http://genome.imim.es/~tderrien/UCSC_Tracks/ALL_mappablity_hg19_H.sapiens.genome.hg19.main.mappability-75.bw.bz2 http://genome.imim.es/~tderrien/UCSC_Tracks/ALL_mappablity_hg19_H.sapiens.genome.hg19.main.mappability-100.bw.bz2 'EOF' awk '{if ($0 ~ /#/) print; else print "wget --timestamping \"" $0 "\"";}' \ temp > download.csh rm temp chmod +x download.csh ./download.csh >& download.log & # Add the data to /gbdb/ and load the file names into tables (2010-01-26) cd /hive/data/genomes/hg19/bed/crgMapability bunzip2 *.bz2 # Add data to gbdb mkdir -p /gbdb/hg19/bbi/ # Symlink files with names as crgMapabilityAlignXmer.bw to /gbdb/hg18/bbi # and load file name into a table - one per dataset. Each table # represents a subtrack. foreach f (`ls *.bw`) echo $f set g=`echo $f | cut -d "-" -f2` set num=`echo $g | cut -d "." -f1` set mer=`echo "${num}mer"` set nf=`echo "crgMapabilityAlign${mer}.bw"` echo $nf ln -s `pwd`/${f} /gbdb/hg19/bbi/${nf} hgsql hg19 -e "drop table if exists crgMapabilityAlign${mer}; \ create table crgMapabilityAlign${mer} (fileName varchar(255) not null); \ insert into crgMapabilityAlign${mer} values ('/gbdb/hg19/bbi/${nf}');" end # 2010-01-28 # Renamed the tables to have a enc prefix for consistency going # forward with hg19. cd /hive/data/genomes/hg19/bed/crgMapability hgsql -Ne 'show tables like "crg%";' hg19 > tables.txt foreach t (`cat tables.txt`) set g=`echo $t | sed -e 's/c/C/'` hgsql -e "alter table ${t} rename enc${g};" hg19 end # Added a trackDb entry for this ENCODE Mapability # track in kent/src/hg/makeDb/trackDb/human/hg19/trackDb.enc.ra # Copied track from the hg18/trackDb.wgEncode.ra entry. # use bigWigInfo to check min and max values. # Added data for a 40mer subtrack - 2010-02-05 cd /hive/data/genomes/hg19/bed/crgMapability wget --timestamping \ http://genome.crg.es/~tderrien/UCSC_Tracks/H.sapiens.genome.hg19.main.mappability-40.bw.bz2 bunzip2 H.sapiens.genome.hg19.main.mappability-40.bw.bz2 ln -s `pwd`/H.sapiens.genome.hg19.main.mappability-40.bw \ /gbdb/hg19/bbi/crgMapabilityAlign40mer hgsql hg19 -e "drop table if exists encCrgMapabilityAlign40mer; \ create table encCrgMapabilityAlign40mer (fileName varchar(255) not null); \ insert into encCrgMapabilityAlign40mer values \ ('/gbdb/hg19/bbi/crgMapabilityAlign40mer');" # Added a subtrack to trackDb/human/hg19/trackDb.enc.ra to the # Mapability track. # 2010-03-16 - 2010-03-18 # Added metadata to the trackDb entries for the subtracks and # added downloads for these data files. mkdir -p /usr/local/apache/htdocs/goldenPath/hg19/encodeDCC/encMapability cd /usr/local/apache/htdocs/goldenPath/hg19/encodeDCC/encMapability cp -p /gbdb/hg19/bbi/crg*.bw . gzip crg*.bw # Copied over hg18/encodeDCC/wgEncodeMapability/preamble.html # and edited it to only mention the CRG dataset. # Run encodeDownloadsPage.pl to generate the index page for downloads. # It does not capture all the information probably because the subtrack # name is different to the downloads name so change the file names and # re-load the tables and make the downloads. cd /hive/data/genomes/hg19/bed/crgMapability foreach f (`ls *.bw`) echo $f set g=`echo $f | cut -d "-" -f2` set num=`echo $g | cut -d "." -f1` set mer=`echo "${num}mer"` set of=`echo "crgMapabilityAlign${mer}.bw"` set nf=`echo "encCrgMapabilityAlign${mer}.bw"` echo $nf rm /gbdb/hg19/bbi/${of} ln -s `pwd`/${f} /gbdb/hg19/bbi/${nf} hgsql hg19 -e "drop table if exists encCrgMapabilityAlign${mer}; \ create table encCrgMapabilityAlign${mer} (fileName varchar(255) not null); \ insert into encCrgMapabilityAlign${mer} values ('/gbdb/hg19/bbi/${nf}');" end cd /usr/local/apache/htdocs/goldenPath/hg19/encodeDCC/encMapability rm crg* cp -p /gbdb/hg19/bbi/encCrg*.bw . gzip encCrg*.bw # Then run encodeDownloadsPages.pl /cluster/home/hartera/bin/encodeDownloadsPage.pl -db=hg19 -checksum \ -preamble=preamble.html index.html . # Downloaded and added new bigWig files to /gbdb/hg19/bbi # (2010-04-28 and 2010-04-30, hartera). New files were created as # there was a bug in the older version of bedGraphToBigWig. cd /hive/data/genomes/hg19/bed/crgMapability rm temp download.csh download.log cat << 'EOF' > temp #!/bin/tcsh -ef http://genome.crg.es/~tderrien/UCSC_Tracks/H.sapiens.genome.hg19.main.mappability-100.bw.bz2 http://genome.crg.es/~tderrien/UCSC_Tracks/H.sapiens.genome.hg19.main.mappability-24.bw.bz2 http://genome.crg.es/~tderrien/UCSC_Tracks/H.sapiens.genome.hg19.main.mappability-36.bw.bz2 http://genome.crg.es/~tderrien/UCSC_Tracks/H.sapiens.genome.hg19.main.mappability-40.bw.bz2 http://genome.crg.es/~tderrien/UCSC_Tracks/H.sapiens.genome.hg19.main.mappability-50.bw.bz2 http://genome.crg.es/~tderrien/UCSC_Tracks/H.sapiens.genome.hg19.main.mappability-75.bw.bz2 'EOF' awk '{if ($0 ~ /#/) print; else print "wget --timestamping \"" $0 "\"";}' \ temp > download.csh rm temp chmod +x download.csh ./download.csh >& download.log & # Add data to /gbdb/. The file names in /gbdb/ are the same as before # so the tables do not need to be reloaded. cd /hive/data/genomes/hg19/bed/crgMapability bunzip2 *.bz2 foreach f (`ls *.bw`) echo $f set g=`echo $f | cut -d "-" -f2` set num=`echo $g | cut -d "." -f1` set mer=`echo "${num}mer"` set nf=`echo "encCrgMapabilityAlign${mer}.bw"` echo $nf rm /gbdb/hg19/bbi/${nf} ln -s `pwd`/${f} /gbdb/hg19/bbi/${nf} end # 2010-05-11, hartera. Re-name bigWig files and update tables # as all ENCODE tracks should now have the wgEncode prefix on all # assemblies. cd /hive/data/genomes/hg19/bed/crgMapability foreach f (`ls *.bw`) echo $f set g=`echo $f | cut -d "-" -f2` set num=`echo $g | cut -d "." -f1` set mer=`echo "${num}mer"` set of=`echo "encCrgMapabilityAlign${mer}.bw"` set nf=`echo "wgEncodeCrgMapabilityAlign${mer}.bw"` echo $nf rm /gbdb/hg19/bbi/${of} ln -s `pwd`/${f} /gbdb/hg19/bbi/${nf} hgsql hg19 -e "drop table if exists encCrgMapabilityAlign${mer}; \ create table wgEncodeCrgMapabilityAlign${mer} (fileName varchar(255) not null); \ insert into wgEncodeCrgMapabilityAlign${mer} values ('/gbdb/hg19/bbi/${nf}');" end # Then change the subtrack names to match the new table names in # kent/src/hg/makeDb/trackDb/human/hg19/trackDb.wgEncode.ra as # the contents of trackDb.enc.ra has been moved there. # 2010-05-12 # Added subtrack for the new 24mer table. # Updated the downloads for the new data. cd /usr/local/apache/htdocs/goldenPath/hg19/encodeDCC # Change name of downloads directory to be consistent with the # new track name. mv encMapability wgEncodeMapability cd wgEncodeMapability rm encCrg* md5sum.txt cp -p /gbdb/hg19/bbi/wgEncodeCrg*.bw . gzip wgEncodeCrg*.bw # Then run encodeDownloadsPage.pl script to update the index.html and # regenerate the md5sum.txt file. encodeDownloadsPage.pl -db=hg19 -checksum index.html ##################################################################### # tRNAs track (2010-01-13, Fan DONE) # tRNAs track (2010-03-10, Fan RE-BUILT WITH UPDATED DATA FROM TODD LOWE) # ssh hgwdev cd /hive/data/genomes/hg19/bed mkdir tRNAs cd tRNAs # Get data files from /projects/lowelab/users/lowe/Browser/vertebrates/ cp -p /projects/lowelab/users/lowe/Browser/vertebrates/hg19-tRNAs.bed . cp -p \ /projects/lowelab/users/lowe/Browser/vertebrates/hg19_tRNAs_images.tar\ . hgsql hg19 -e 'drop table if exists tRNAs' hgLoadBed -tab hg19 tRNAs hg19-tRNAs.bed -sqlTable=$HOME/kent/src/hg/lib/tRNAs.sql mkdir gif cd gif tar -xvf ../hg19_tRNAs_images.tar mv image/* . rmdir image mkdir /hive/data/gbdb/hg19/RNA-img cp -p * /hive/data/gbdb/hg19/RNA-img # tRNAs track (2015-10-04, Chris RE-BUILD WITH UPDATED DATA FROM TODD LOWE) cd /hive/data/genomes/hg19/bed/tRNAs cp /hive/users/pchan/gtrnadb2/Eukaryota/hg19/hg19-tRNAs.bed hg19-tRNAs2.bed hgsql hg19 -e 'drop table if exists tRNAs' hgLoadBed -tab hg19 tRNAs hg19-tRNAs2.bed -sqlTable=$HOME/kent/src/hg/lib/tRNAs.sql mv gif gif.old mkdir gif cp -p /hive/users/pchan/gtrnadb2/Eukaryota/hg19/images/* gif ##################################################################### # calJac3 Marmoset BLASTZ/CHAIN/NET (DONE - 2010-01-21 - Hiram) screen # use a screen to manage this multi-day job mkdir /hive/data/genomes/hg19/bed/lastzCalJac3.2010-02-11 cd /hive/data/genomes/hg19/bed/lastzCalJac3.2010-02-11 cat << '_EOF_' > DEF # human vs. marmoset BLASTZ=lastz # maximum M allowed with lastz is only 254 BLASTZ_M=254 BLASTZ_Q=/scratch/data/blastz/human_chimp.v2.q # and place those items here BLASTZ_O=600 BLASTZ_E=150 # other parameters from panTro2 vs hg18 lastz on advice from Webb BLASTZ_K=4500 BLASTZ_Y=15000 BLASTZ_T=2 # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=20000000 SEQ1_LAP=10000 SEQ1_LIMIT=5 # QUERY: Marmoset (calJac3) SEQ2_DIR=/scratch/data/calJac3/calJac3.2bit SEQ2_LEN=/scratch/data/calJac3/chrom.sizes SEQ2_LIMIT=50 SEQ2_CHUNK=10000000 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzCalJac3.2010-02-11 TMPDIR=/scratch/tmp '_EOF_' # << this line keeps emacs coloring happy time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -syntenicNet \ -chainMinScore=5000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ > do.log 2>&1 & # real 287m24.258s cat fb.hg19.chainCalJac3Link.txt # 2047068864 bases of 2897316137 (70.654%) in intersection mkdir /hive/data/genomes/calJac3/bed/blastz.hg19.swap cd /hive/data/genomes/calJac3/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzCalJac3.2010-02-11/DEF \ -swap -syntenicNet \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ -chainMinScore=5000 -chainLinearGap=medium > swap.log 2>&1 & # real 120m42.991s cat fb.calJac3.chainHg19Link.txt # 2030475813 bases of 2752505800 (73.768%) in intersection ############################################################################# # MAKE PCR TARGET FOR UCSC GENES (Done Feb 26, 2010 -Jim) ssh hgwdev mkdir /cluster/data/hg19/bed/mrnaPcr cd /cluster/data/hg19/bed/mrnaPcr # First, get consistent FA and PSL for UCSC Genes. # Initially I tried to use files from /cluster/data/hg19/bed/ucsc.10/: # subColumn 10 /cluster/data/hg19/bed/ucsc.10/rnaToGenome.psl # /cluster/data/hg19/bed/ucsc.10/txToAcc.tab ucscGenes.hg19.psl # /cluster/data/hg19/bed/ucsc.10/ucscGenes.fa # But the psl was not from exactly the same seq's as in the fa. # Jim's suggestion: use sequenceForBed to get genomic-translated # sequences, and then genePredToFakePsl. sequenceToBed must be # run on hgwdev. genePredToBed /cluster/data/hg19/bed/ucsc.12/ucscGenes.gp > ucscGenes.bed hgsql hg19 -NBe 'select kgId,geneSymbol from kgXref' \ | perl -wpe 's/^(\S+)\t(\S+)/$1\t${1}__$2/ || die;' \ > idSub.txt subColumn 4 ucscGenes.bed idSub.txt ucscGenesIdSubbed.bed sequenceForBed -keepName -db=hg19 -bedIn=ucscGenesIdSubbed.bed \ -fastaOut=stdout \ | faToTwoBit stdin kgTargetSeq.2bit cut -f 1-10 /cluster/data/hg19/bed/ucsc.12/ucscGenes.gp \ | genePredToFakePsl hg19 stdin kgTargetAli.psl /dev/null # Load up the UCSC Genes target PSL table and put 2bit in /gbdb:: cd /cluster/data/hg19/bed/mrnaPcr hgLoadPsl hg19 kgTargetAli.psl mkdir /gbdb/hg19/targetDb ln -s /cluster/data/hg19/bed/mrnaPcr/kgTargetSeq.2bit /gbdb/hg19/targetDb/ # Ask cluster-admin to start an untranslated, -stepSize=5 gfServer on # /gbdb/hg19/targetDb/kgTargetSeq.2bit . ssh hgwdev # Add records to hgcentraltest blatServers and targetDb: hgsql hgcentraltest -e \ 'INSERT into blatServers values ("hg19Kg", "blat12", 17807, 0, 1);' hgsql hgcentraltest -e \ 'INSERT into targetDb values("hg19Kg", "UCSC Genes", \ "hg19", "kgTargetAli", "", "", \ "/gbdb/hg19/targetDb/kgTargetSeq.2bit", 1, now(), "");' ######################################################################## # DGV V10 (DATABASE OF GENOMIC VARIANTS) (DONE 11/10/10 angie - color change 2/22/11 #2917) # 2/22/11 color change (Bug #2917): swap blue and red; green -> brown # Old DGV format is obsolete; see the following section. _EOF_ ####################################################################### # DGV (DATABASE OF GENOMIC VARIANTS) (DONE 8/10/16 angie) # Redmine #17351 # previously done 9/13/13 #11200, 11/7/14 #14188, 8/18/15 #15767 # Beta last updated 2/11/13 #9401 # 9/13/13: DGV is back out of beta, and has added some columns again for the 7/2013 # public release. They have also requested that we make a composite track # with subtracks for supporting variants and merged variants. set today = `date +%y%m%d` mkdir -p /hive/data/genomes/hg19/bed/dgv/$today cd /hive/data/genomes/hg19/bed/dgv/$today set release = 2016-05-15 wget http://dgv.tcag.ca/dgv/docs/GRCh37_hg19_variants_$release.txt wget http://dgv.tcag.ca/dgv/docs/GRCh37_hg19_supportingvariants_$release.txt # These are the latest columns; if any changes, update translateDgvPlus.pl: head -1 GRCh37_hg19*.txt #variantaccession chr start end varianttype variantsubtype reference pubmedid method platform mergedvariants supportingvariants mergedorsample frequency samplesize observedgains observedlosses cohortdescription genes samples # Eyeball the categories of variants: cut -f 5,6 GRCh37_hg19_supportingvariants_$release.txt | sort | uniq -c | head -100 #1941208 CNV deletion # 165948 CNV duplication # 884153 CNV gain # 8663 CNV gain+loss # 75564 CNV insertion #3488453 CNV loss # 48428 CNV mobile element insertion # 9059 CNV novel sequence insertion # 12249 CNV tandem duplication # 516 OTHER complex # 30767 OTHER inversion # 3707 OTHER sequence alteration # 1 varianttype variantsubtype cut -f 5,6 GRCh37_hg19_variants_$release.txt | sort | uniq -c | head -100 # 134568 CNV deletion # 29937 CNV duplication # 47482 CNV gain # 7062 CNV gain+loss # 27603 CNV insertion # 123868 CNV loss # 4156 CNV mobile element insertion # 8974 CNV novel sequence insertion # 3703 CNV tandem duplication # 578 OTHER complex # 2652 OTHER inversion # 2000 OTHER sequence alteration # 1 varianttype variantsubtype ~/kent/src/hg/utils/automation/translateDgvPlus.pl \ GRCh37_hg19_supportingvariants_$release.txt > dgvSupporting.bed ~/kent/src/hg/utils/automation/translateDgvPlus.pl \ GRCh37_hg19_variants_$release.txt > dgvMerged.bed hgLoadBed hg19 dgvSupporting dgvSupporting.bed \ -sqlTable=$HOME/kent/src/hg/lib/dgvPlus.sql -renameSqlTable -tab #Read 6668715 elements of size 22 from dgvSupporting.bed hgLoadBed hg19 dgvMerged dgvMerged.bed \ -sqlTable=$HOME/kent/src/hg/lib/dgvPlus.sql -renameSqlTable -tab #Read 392583 elements of size 22 from dgvMerged.bed rm bed.tab && gzip *.{txt,bed} & ####################################################################### # felCat4 Cat BLASTZ/CHAIN/NET (DONE - 2010-06-07 - Chin) screen # use a screen to manage this multi-day job mkdir /hive/data/genomes/hg19/bed/lastzFelCat4.2010-06-07 cd /hive/data/genomes/hg19/bed/lastzFelCat4.2010-06-07 cat << '_EOF_' > DEF # human vs. cat # maximum M allowed with lastz is only 254 BLASTZ_M=254 # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=20000000 SEQ1_LAP=10000 SEQ1_LIMIT=5 # QUERY: Cat (felCat4) SEQ2_DIR=/scratch/data/felCat4/felCat4.2bit SEQ2_LEN=/scratch/data/felCat4/chrom.sizes SEQ2_LIMIT=50 SEQ2_CHUNK=10000000 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzFelCat4.2010-06-07 TMPDIR=/scratch/tmp '_EOF_' # << this line keeps emacs coloring happy time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -syntenicNet -noDbNameCheck \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ > do.log 2>&1 & # doBlastzChainNet from step chainRun after para stop, para freeBatch # After para stop para freeBatch in # /hive/data/genomes/hg19/bed/lastzFelCat4.2010-06-07/axtChain/run] # rm the run directory, and use memk/swarm this time time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -continue chainRun \ -syntenicNet -noDbNameCheck \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ > do_chainRun.log 2>&1 & # real 245m43.063s # *** All done ! Elapsed time: 245m43s # *** Make sure that goldenPath/hg19/vsFelCat4/README.txt is accurate. # *** Add {chain,net}FelCat4 tracks to trackDb.ra if necessary. cat fb.hg19.chainFelCat4Link.txt # 1266003011 bases of 2897316137 (43.696%) in intersection # make it time independent and indicate that it is really done cd /hive/data/genomes/hg19/bed ln -s lastzFelCat4.2010-06-07 lastz.felCat4 # Swap mkdir /hive/data/genomes/felCat4/bed/blastz.hg19.swap cd /hive/data/genomes/felCat4/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzFelCat4.2010-06-07/DEF \ -swap -syntenicNet -noDbNameCheck \ -workhorse=hgwdev -smallClusterHub=pk -bigClusterHub=swarm \ -chainMinScore=3000 -chainLinearGap=medium > swap.log 2>&1 & # real 432m36.917s cat fb.felCat4.chainHg19Link.txt # 1211702270 bases of 1990635005 (60.870%) in intersection ##################################################################### # susScr2 Pig BLASTZ/CHAIN/NET (DONE - 2010-03-26,27 - Hiram) screen # use a screen to manage this multi-day job mkdir /hive/data/genomes/hg19/bed/lastzSusScr2.2010-03-26 cd /hive/data/genomes/hg19/bed/lastzSusScr2.2010-03-26 cat << '_EOF_' > DEF # Pig vs. Human BLASTZ_M=50 # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Pig SusScr2 SEQ2_DIR=/scratch/data/susScr2/susScr2.2bit SEQ2_LEN=/scratch/data/susScr2/chrom.sizes SEQ2_CHUNK=10000000 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzSusScr2.2010-03-26 TMPDIR=/scratch/tmp '_EOF_' # << this line keeps emacs coloring happy time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -noLoadChainSplit -syntenicNet \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -chainMinScore=3000 -chainLinearGap=medium > do.log 2>&1 & # Elapsed time: 842m23s cat fb.hg19.chainSusScr2Link.txt # 1198794058 bases of 2897316137 (41.376%) in intersection mkdir /hive/data/genomes/susScr2/bed/blastz.hg19.swap cd /hive/data/genomes/susScr2/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzSusScr2.2010-03-26/DEF \ -swap -noLoadChainSplit -syntenicNet \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=pk \ -chainMinScore=3000 -chainLinearGap=medium > swap.log 2>&1 & # Elapsed time: 112m40s cat fb.susScr2.chainHg19Link.txt # 1272785114 bases of 2231298548 (57.042%) in intersection ######################################################################### # Vega gene update (DONE - 2010-04-07 - Hiram) # lookup version number at the Vega WEB site: # http://vega.sanger.ac.uk/index.html # and FTP site: # ftp://ftp.sanger.ac.uk/pub/vega/ cd /hive/data/genomes/hg19 # step wise to verify operation doEnsGeneUpdate.pl -vegaGene -ensVersion=38 -stop=download hg19.ensGene.ra doEnsGeneUpdate.pl -vegaGene -ensVersion=38 \ -continue=process -stop=process hg19.ensGene.ra # genePredCheck -db=hg19 vegaPseudo.gp.gz # checked: 11590 failed: 0 # genePredCheck -db=hg19 not.vegaPseudo.gp.gz # checked: 96345 failed: 0 # genePredCheck -db=hg19 hg19.allGenes.gp.gz # checked: 107935 failed: 0 doEnsGeneUpdate.pl -vegaGene -ensVersion=38 \ -continue=load -stop=load hg19.ensGene.ra # zcat: download/Homo_sapiens.VEGA.38.pep.all.fa.gz: unexpected end of file # they changed their file name convention ... doEnsGeneUpdate.pl -vegaGene -ensVersion=38 \ -continue=cleanup hg19.ensGene.ra featureBits hg19 vegaGene # 74206453 bases of 2897316137 (2.561%) in intersection featureBits hg19 vegaPseudoGene # 8494715 bases of 2897316137 (0.293%) in intersection ##################################################################### # oviAri1 Sheep BLASTZ/CHAIN/NET (DONE - 2010-04-16 - Chin) screen # use a screen to manage this multi-day job mkdir /hive/data/genomes/hg19/bed/lastzOviAri1.2010-04-16 cd /hive/data/genomes/hg19/bed/lastzOviAri1.2010-04-16 cat << '_EOF_' > DEF # Sheep vs. Human BLASTZ_M=50 # TARGET: Mouse Mm9 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Sheep OviAri1 SEQ2_DIR=/scratch/data/oviAri1/oviAri1.2bit SEQ2_LEN=/scratch/data/oviAri1/chrom.sizes SEQ2_CHUNK=10000000 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzOviAri1.2010-04-16 TMPDIR=/scratch/tmp '_EOF_' # << this line keeps emacs coloring happy time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -noLoadChainSplit -syntenicNet \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=pk \ -chainMinScore=3000 -chainLinearGap=medium > do.log 2>&1 & # real 578m58.918s cat fb.hg19.chainOviAri1Link.txt # 878545517 bases of 2897316137 (30.323%) in intersection # and the swap mkdir /hive/data/genomes/oviAri1/bed/blastz.hg19.swap cd /hive/data/genomes/oviAri1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzOviAri1.2010-04-16/DEF \ -swap -noLoadChainSplit -syntenicNet \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=pk \ -chainMinScore=3000 -chainLinearGap=medium > swap.log 2>&1 & # real 72m47.780s cat fb.oviAri1.chainHg19Link.txt # 824310420 bases of 1201271277 (68.620%) in intersection ######################################################################## # H-Inv 7.0 Gene track (DONE - 2010-04-07 - Hiram) mkdir /hive/data/genomes/hg19/bed/hinv cd /hive/data/genomes/hg19/bed/hinv ./hinvToBed12.pl go > broken.1.exons.txt hgLoadBed hg19 hinv70Coding fcdna.coding.bed # Loaded 272257 elements of size 12 featureBits hg19 hinv70Coding # 141717797 bases of 2897316137 (4.891%) in intersection hgLoadBed hg19 hinv70NonCoding fcdna.nonCoding.bed # Loaded 22625 elements of size 12 featureBits hg19 hinv70NonCoding # 1350960 bases of 2897316137 (0.047%) in intersection hgLoadBed hg19 hinv70PseudoGene fcdna.pseudoGene.bed # Loaded 1166 elements of size 12 featureBits hg19 hinv70PseudoGene # 1701647 bases of 2897316137 (0.059%) in intersection featureBits hg19 hinv70Coding hinv70PseudoGene # 619377 bases of 2897316137 (0.021%) in intersection featureBits hg19 hinv70Coding hinv70NonCoding # 912553 bases of 2897316137 (0.031%) in intersection featureBits hg19 hinv70PseudoGene hinv70NonCoding # 9642 bases of 2897316137 (0.000%) in intersection ######################################################################## # Updating the ucscToEnsembl table (DONE - 2010-04-06 - Hiram) # as of Ensembl V57, their naming scheme changed for the randoms cd /hive/data/genomes/hg19/bed/ucscToEnsembl cat ../../chrom.sizes | while read L do size=`echo $L | awk '{print $2}'` ucName=`echo $L | awk '{print $1}'` ensName=`echo $ucName | sed -e "s/^chrM/MT/; s/^chr//;"` case $ucName in chr17_ctg5_hap1) ensName="HSCHR17_1" ;; chr4_ctg9_hap1) ensName="HSCHR4_1" ;; chr6_apd_hap1) ensName="HSCHR6_MHC_APD" ;; chr6_cox_hap2) ensName="HSCHR6_MHC_COX" ;; chr6_dbb_hap3) ensName="HSCHR6_MHC_DBB" ;; chr6_mann_hap4) ensName="HSCHR6_MHC_MANN" ;; chr6_mcf_hap5) ensName="HSCHR6_MHC_MCF" ;; chr6_qbl_hap6) ensName="HSCHR6_MHC_QBL" ;; chr6_ssto_hap7) ensName="HSCHR6_MHC_SSTO" ;; *_gl*) ensName=`echo $L | awk '{print $1}' | sed -e "s/^chr.*_gl/GL/; s/_random//"` ;; esac echo -e "$ucName\t$ensName" done > ucscToEnsemblV57.tab hgsql hg19 -e 'delete from ucscToEnsembl where ucsc like "%";' hgsql hg19 -e \ 'LOAD DATA LOCAL INFILE "ucscToEnsemblV57.tab" INTO TABLE ucscToEnsembl' ############################################################################ # dbSNP BUILD 131 (SNP131) (DONE 5/25/10 angie - TWEAKED 8/4/10) # Originally done 4/15/10 -- updated 5/25 with corrected function codes from # dbSNP (b131_SNPContigLocusId_37_1.bcp.gz). # Set up build directory mkdir -p /hive/data/outside/dbSNP/131/{human,shared} # Get field encodings -- if there are changes or additions to the # encoding of the corresponding fields, you might need to update # snpNcbiToUcsc, hgTracks, hgc and hgTrackUi (see also # hg/lib/snp125Ui.c). cd /hive/data/outside/dbSNP/131/shared alias wg wget --timestamping set ftpShared = ftp://ftp.ncbi.nih.gov/snp/database/shared_data wg $ftpShared/LocTypeCode.bcp.gz wg $ftpShared/SnpClassCode.bcp.gz wg $ftpShared/SnpFunctionCode.bcp.gz wg $ftpShared/SnpValidationCode.bcp.gz # Here is another source -- it is not as up-to-date as the above, but # our encodings (enums and sets in snp131.sql) are named more similar # to those in the 2005 ASN: # ftp://ftp.ncbi.nih.gov/snp/specs/docsum_2005.asn ########################## DOWNLOAD ############################# cd /hive/data/outside/dbSNP/131/human mkdir data schema rs_fasta # Get data from NCBI (anonymous FTP) set ftpSnpDb = ftp://ftp.ncbi.nih.gov/snp/organisms/human_9606/database wg ftp://ftp.ncbi.nih.gov/snp/00readme.txt cd /hive/data/outside/dbSNP/131/human/data # ContigLoc table has coords, orientation, loc_type, and refNCBI allele wg $ftpSnpDb/organism_data/b131_SNPContigLoc_37_1.bcp.gz wg $ftpSnpDb/organism_data/b131_SNPContigLocusId_37_1.bcp.gz wg $ftpSnpDb/organism_data/b131_ContigInfo_37_1.bcp.gz # MapInfo has alignment weights wg $ftpSnpDb/organism_data/b131_SNPMapInfo_37_1.bcp.gz # SNP has univar_id, validation status and heterozygosity wg $ftpSnpDb/organism_data/SNP.bcp.gz # Get schema cd /hive/data/outside/dbSNP/131/human/schema wg $ftpSnpDb/organism_schema/human_9606_table.sql.gz wg $ftpSnpDb/shared_schema/dbSNP_main_table.sql.gz # Get fasta files # using headers of fasta files for molType, class, observed cd /hive/data/outside/dbSNP/131/human/rs_fasta wg ftp://ftp.ncbi.nih.gov/snp/organisms/human_9606/rs_fasta/\*.gz ########################## LOAD NCBI TABLES ############################# # Simplify names of data files -- strip version & extras to get # local canonical table names. cd /hive/data/outside/dbSNP/131/human/data foreach f (*.bcp.gz) set new = `echo $f \ | sed -e 's/^b131_SNP//; s/^b131_//; s/_37_1//; s/.bcp//;'` mv $f $new echo $new end cd /hive/data/outside/dbSNP/131/human/schema zcat human_9606_table.sql.gz \ | perl -we '$/ = "\nGO\n\n\n"; \ while (<>) { \ next unless /^CREATE TABLE \[(b131_(SNP)?)?(ContigInfo|ContigLoc|ContigLocusId|MapInfo|SNP)(_37_1)?\]/; \ s/b131_(SNP)?//; s/_37_1//; \ s/[\[\]]//g; s/GO\n\n/;/; s/smalldatetime/datetime/g; \ s/ON PRIMARY//g; s/COLLATE//g; s/Latin1_General_BIN//g; \ s/IDENTITY (1, 1) NOT NULL /NOT NULL AUTO_INCREMENT, PRIMARY KEY (id)/g; \ s/nvarchar/varchar/g; s/set quoted/--set quoted/g; \ s/(image|varchar\s+\(\d+\))/BLOB/g; \ print; \ }' \ > table.sql # load on hgwdev (kolossus disk almost full, no more small cluster mysql5's): hgsql -e 'create database hg19snp131' cd /hive/data/outside/dbSNP/131/human/schema hgsql hg19snp131 < table.sql cd ../data # Avoid wasting space by excluding mappings to non-reference contigs (ContigInfo.group_label): zcat ContigInfo.gz | cut -f 12 | uniq | sort -u #CRA_TCAGchr7v2 #Celera #GRCh37 #Homo sapiens MT #HuRef foreach t (ContigInfo MapInfo ContigLocusId) zcat $t.gz \ | egrep -vw '(Celera|HuRef|CRA_TCAGchr7v2)' \ | perl -wpe 's/(\d\d:\d\d:\d\d)\.0/$1/g;' \ | hgLoadSqlTab -oldTable hg19snp131 $t placeholder stdin end # Compare contig list between our ctgPos and reference contigs in ContigInfo. # If they are identical, sweet, we probably have a $db/jkStuff/liftContigs.lft # or similar file to use below. If they are not identical, need to make # lift file using available information. hgsql hg19 -N -B -e 'select contig from ctgPos;' \ | sort > /tmp/1 # (HuRef, Celera, CRA_TCAGchr7v2 grepped out above) hgsql hg19snp131 -N -B -e 'select contig_acc from ContigInfo;' | sort > /tmp/2 diff /tmp/1 /tmp/2 # Doh! Completely different: ctgPos has GL*, ContigInfo has NC_* / NT_* # We will need to generate own liftUp file for N*_* contig IDs. # NC_001807 entrez sez "Record removed.This sequence was removed # since the accepted reference sequence for the Homo sapiens # mitochondrion is the rCRS/Mitomap sequence, which is now # available as the record NC_012920". # They align w/gaps on both q & t, so liftUp won't do, we need liftOver: blat -noHead NC_012920.fa /hive/data/genomes/hg19/M/chrM.fa stdout \ | axtChain -psl -linearGap=medium stdin -faT NC_012920.fa /hive/data/genomes/hg19/hg19.2bit \ NC_012920ToChrM.over.chain # NT_004350: entrez sez: #COMMENT REFSEQ INFORMATION: Features on this sequence have been produced # for build 37 version 1 of the NCBI's genome annotation [see # documentation]. The reference sequence is identical to # GL000003.1. # Using the contigs named in ContigInfo, screen-scrape genbank to get GL ID for contig ID. cp /dev/null contigToGl.txt foreach nt (`hgsql hg19snp131 -N -B -e 'select contig_acc from ContigInfo;'`) wget --quiet -O - 'http://www.ncbi.nlm.nih.gov/sviewer/viewer.fcgi?tool=portal&db=nuccore&val='$nt'&dopt=genbank&sendto=on' \ | perl -we 'while (<>) { \ if (/^LOCUS/) { \ m/^LOCUS\s+'$nt'\s+(\d+) bp/ || die "parse ('$nt'): $_\t"; \ $size = $1; \ } elsif (/^ (GL\d+)\.\d+\.$/) { \ print "'$nt'\t$1\t$size\n"; \ } \ }' \ >> contigToGl.txt end hgsql hg19 -NBe 'select chromStart, SUBSTRING_INDEX(contig, ".", 1), \ ctgPos.size, ctgPos.chrom, chromInfo.size \ from ctgPos,chromInfo \ where ctgPos.chrom=chromInfo.chrom order by contig' \ > glToLift.txt sort -k2,2 contigToGl.txt \ | join -1 2 -2 2 -t" " -o 1.1,2.1,1.3,1.4,1.5 -a 2 -e MISSING \ glToLift.txt - \ > /hive/data/genomes/hg19/jkStuff/liftContigs.lft # Manually add NC_001807 -> chrM just in case: echo "0 NC_001807 16571 chrM 16571" \ >> /hive/data/genomes/hg19/jkStuff/liftContigs.lft # Blat NC_012920 to chrM shows gaps, so we'll need to use liftOver chain created above. # Make sure there are no orient != 0 contigs among those selected. hgsql hg19snp131 -NBe \ 'select count(*) from ContigInfo where orient != 0;' #0 # ContigLoc is huge, and we want just the reference contig mappings. # So, based on the reference & haplo ctg_id values in ContigInfo, # filter to get just the mappings for those contigs: zcat ContigLoc.gz \ | awk '$3 <= 9 || $3 == 6647 || $3 >= 11178' \ | perl -wpe 's/(\d\d:\d\d:\d\d)\.0/$1/g;' \ | hgLoadSqlTab -oldTable hg19snp131 ContigLoc placeholder stdin #Warning 1366 Incorrect integer value: '' for column 'loc_sts_uid' at row 1 #Warning 1366 Incorrect integer value: '' for column 'loc_sts_uid' at row 2 #Warning 1366 Incorrect integer value: '' for column 'loc_sts_uid' at row 3 #Warning 1366 Incorrect integer value: '' for column 'loc_sts_uid' at row 4 #load of ContigLoc did not go as planned: 27500025 record(s), 0 row(s) skipped, 3273 warning(s) loading /dev/stdin zcat SNP.gz \ | perl -wpe 's/(\d\d:\d\d:\d\d)\.0/$1/g;' \ | hgLoadSqlTab -oldTable hg19snp131 SNP placeholder stdin #Warning 1366 Incorrect integer value: '' for column 'CpG_code' at row 1 #Warning 1366 Incorrect integer value: '' for column 'map_property' at row 1 #Warning 1264 Out of range value adjusted for column 'last_updated_time' at row 2 #Warning 1366 Incorrect integer value: '' for column 'CpG_code' at row 2 #Warning 1366 Incorrect integer value: '' for column 'map_property' at row 2 # ... no big deal. foreach t (ContigInfo ContigLoc ContigLocusId MapInfo SNP) echo -n "${t}:\t" hgsql -N -B hg19snp131 -e 'select count(*) from '$t end #ContigInfo: 260 #ContigLoc: 27500025 #ContigLocusId: 55347972 #MapInfo: 23619373 #SNP: 23653729 #################### EXTRACT INFO FROM NCBI TABLES #################### # Glom each SNP's function codes together and load up a new hg19Snp131 table. # Also extract NCBI's annotations of coding SNPs' effects on translation. # We extract ContigLocusId info only for reference assembly mapping. # Some SNP's functional annotations are for an alternate assembly, so we will # have no NCBI functional annotations to display for those (but our own are # available). cd /hive/data/outside/dbSNP/131/human # Add indices to tables for a big join (5 or 6 minutes): hgsql hg19snp131 -e \ 'alter table ContigInfo add index (ctg_id); \ alter table ContigLocusId add index (ctg_id);' hgsql hg19snp131 -NBe 'select snp_id, ci.contig_acc, asn_from, asn_to, mrna_acc, \ fxn_class, reading_frame, allele, residue, codon, cli.ctg_id \ from ContigLocusId as cli, ContigInfo as ci \ where cli.ctg_id = ci.ctg_id;' \ > ncbiFuncAnnotations.txt wc -l ncbiFuncAnnotations.txt #16835438 ncbiFuncAnnotations.txt # Ignore function code 8 (cds-reference, just means that some allele matches reference) # and glom functions for each SNP id: cut -f 1-4,6,11 ncbiFuncAnnotations.txt \ | sort -u -k1n,1n -k6n,6n -k3n,3n -k5n,5n \ | perl -we 'while (<>) { chomp; \ ($id, undef, $s, $e, $f, $c) = split; \ if (defined $prevId && $id == $prevId && $c == $prevC && $s == $prevS) { \ $prevFunc .= "$f," unless ($f == 8); \ } else { \ if (defined $prevId) { \ print "$prevId\t$prevC\t$prevS\t$prevE\t$prevFunc\n" if ($prevFunc); \ } \ $prevFunc = ($f == 8) ? "" : "$f,"; \ } \ ($prevId, $prevC, $prevS, $prevE) = ($id, $c, $s, $e); \ } \ print "$prevId\t$prevC\t$prevS\t$prevE\t$prevFunc\n" if ($prevFunc);' \ > ucscFunc.txt wc -l ucscFunc.txt #10328697 ucscFunc.txt cat > ucscFunc.sql <<EOF CREATE TABLE ucscFunc ( snp_id int NOT NULL , ctg_id int(10) NOT NULL , asn_from int(10) NOT NULL , asn_to int(10) NOT NULL , fxn_class varchar(255) NOT NULL , INDEX snp_id (snp_id), INDEX ctg_id (ctg_id) ); EOF hgLoadSqlTab hg19snp131 ucscFunc{,.sql,.txt} # 10/12/10: Those coords are NCBI's 0-based, fully-closed, 2-base-wide insertions. # We need to leave the coords alone here so ucscFunc can be joined below. # Make a list of SNPs with func anno's that are insertion SNPs, so we can use # the list to determine what type of coord fix to apply to each annotation # when making snp130CodingDbSnp below. hgsql hg19snp131 -NBe \ 'select ci.contig_acc, cl.asn_from, cl.asn_to, uf.snp_id \ from ucscFunc as uf, ContigLoc as cl, ContigInfo as ci \ where uf.snp_id = cl.snp_id and \ uf.ctg_id = cl.ctg_id and uf.asn_from = cl.asn_from and uf.asn_to = cl.asn_to and \ cl.loc_type = 3 and \ cl.ctg_id = ci.ctg_id' \ > ncbiFuncInsertions.ctg.bed wc -l ncbiFuncInsertions.ctg.bed #1165272 ncbiFuncInsertions.ctg.bed # Extract observed allele, molType and snp class from FASTA headers gnl # 4/13: found some inconsistent headers in rs_chPAR.fas.gz vs. other rs_ch*, # reported to dbSNP, Lon said that rs_chPAR.fas.gz snuck in from build 130! rm /hive/data/outside/dbSNP/131/human/rs_fasta/rs_chPAR.fas.gz zcat /hive/data/outside/dbSNP/131/human/rs_fasta/rs_ch*.fas.gz \ | grep '^>gnl' \ | perl -wpe 's/^\S+rs(\d+) .*mol="(\w+)"\|class=(\d+)\|alleles="([^"]+)"\|build.*/$1\t$4\t$2\t$3/ || die "Parse error line $.:\n$_\n\t";' \ | sort -nu \ > ucscGnl.txt #520.305u 74.766s 7:02.48 140.8% 0+0k 0+0io 0pf+0w wc -l ucscGnl.txt #23653726 ucscGnl.txt cut -f 1 ucscGnl.txt | uniq | wc -l #23653726 cat > ucscGnl.sql <<EOF CREATE TABLE ucscGnl ( snp_id int NOT NULL , observed varchar(255) NOT NULL, molType varchar(255) NOT NULL, class varchar(255) NULL , INDEX snp_id (snp_id) ); EOF hgLoadSqlTab hg19snp131 ucscGnl{,.sql,.txt} # Add indices to tables for a big join (5 or 6 minutes): hgsql hg19snp131 -e \ 'alter table ContigLoc add index (ctg_id); \ alter table SNP add index (snp_id); \ alter table MapInfo add index (snp_id);' # Big leftie join to bring together all of the columns that we want in snp131, # using all of the available joining info: hgsql hg19snp131 -NBe \ 'SELECT ci.contig_acc, cl.asn_from, cl.asn_to, cl.snp_id, cl.orientation, cl.allele, \ ug.observed, ug.molType, ug.class, \ s.validation_status, s.avg_heterozygosity, s.het_se, \ uf.fxn_class, cl.loc_type, mi.weight, cl.phys_pos_from \ FROM \ ((((ContigLoc as cl JOIN ContigInfo as ci \ ON cl.ctg_id = ci.ctg_id) \ LEFT JOIN MapInfo as mi ON mi.snp_id = cl.snp_id and mi.assembly = ci.group_label) \ LEFT JOIN SNP as s ON s.snp_id = cl.snp_id) \ LEFT JOIN ucscGnl as ug ON ug.snp_id = cl.snp_id) \ LEFT JOIN ucscFunc as uf ON uf.snp_id = cl.snp_id and uf.ctg_id = cl.ctg_id \ and uf.asn_from = cl.asn_from;' \ > ucscNcbiSnp.ctg.bed #75.815u 13.622s 32:04.35 4.6% 0+0k 0+0io 0pf+0w wc -l ucscNcbiSnp.ctg.bed #27500025 ucscNcbiSnp.ctg.bed # Use liftUp for everything except mito, then liftOver for mito: # There are some weird cases of length=1 but locType=range... in all the cases # that I checked, the length really seems to be 1 so I'm not sure where they got # the locType=range. Tweak locType in those cases so we can keep those SNPs: grep -vw ^NC_012920 ucscNcbiSnp.ctg.bed \ | awk -F"\t" 'BEGIN{OFS="\t";} $2 == $3 && $14 == 1 {$14=2; numTweaked++;} {print;} \ END{print numTweaked, "single-base, locType=range, tweaked locType" > "/dev/stderr";}' \ | liftUp ucscNcbiSnp.bed \ /hive/data/genomes/hg19/jkStuff/liftContigs.lft warn stdin #2535 single-base, locType=range, tweaked locType #392.182u 27.358s 7:20.66 95.2% 0+0k 0+0io 0pf+0w # For liftOver, convert 0-base fully-closed to 0-based half-open because liftOver # doesn't deal with 0-base items. Fake out phys_pos_from to 0 because many coords # will differ, oh well. grep -w NC_012920 ucscNcbiSnp.ctg.bed \ | awk -F"\t" 'BEGIN{OFS="\t";} {$3 += 1; $16 = 0; print;}' \ | liftOver -bedPlus=3 stdin NC_012920ToChrM.over.chain stdout chrM.unmapped \ | awk -F"\t" 'BEGIN{OFS="\t";} {$3 -= 1; print;}' \ | sort -k2n,2n \ > chrMNcbiSnp.bed #3.479u 2.428s 0:53.57 10.9% 0+0k 0+0io 4pf+0w # Good, got all but 2 SNPS (rs28693675 and rs55749223, partially deleted / deleted in new) cat chrMNcbiSnp.bed >> ucscNcbiSnp.bed wc -l ucscNcbiSnp.bed #27500023 ucscNcbiSnp.bed # Translate NCBI's encoding into UCSC's, and perform a bunch of checks. # This is where developer involvement is most likely as NCBI extends the # encodings used in dbSNP. cd /hive/data/outside/dbSNP/131/human/ snpNcbiToUcsc ucscNcbiSnp.bed /hive/data/genomes/hg19/hg19.2bit snp131 #spaces stripped from observed: #chr12 6093134 6093134 rs41402545 #count of snps with weight 0 = 67535 #count of snps with weight 1 = 23023681 #count of snps with weight 2 = 472416 #count of snps with weight 3 = 2536961 #count of snps with weight 10 = 1399430 #Skipped 7 snp mappings due to errors -- see snp131Errors.bed #173.162u 5.982s 7:57.91 37.4% 0+0k 0+0io 3pf+0w head snp131Errors.bed #chr13 32953907 32954033 rs80359736 rs80359736 is 126 bases long but refNCBI is different length: CATCATCAGATTTATATTCTCTGTTAACAGAAGGAAAGAGATACAGAATTTATCATCTTGCAACTTCAAAATCTAAAAGTAAATCTGAAAGAGCTAACAT #chr17 41223118 41223133 rs80359888 Missing observed value (deleted SNP?). #chr17 41245687 41245900 rs80359886 rs80359886 is 213 bases long but refNCBI is different length: AATATGCCTGGTAGAAGACTTCCTCCTCAGCCTATTCTTTTTAGGTGCTTTTGAATTGTGGATATTTAATTCGAGTTCCATATTGCTTATACTGCTGCTT #chr17 41245687 41245900 rs80359886 Missing observed value (deleted SNP?). #chr17 41276085 41276094 rs80359887 Missing observed value (deleted SNP?). #chrM 308 310 rs66492218 Unexpected coords for locType "between" (3) -- expected NCBI's chrEnd = chrStart+1. #chrM 308 310 rs66492218 rs66492218 is 2 bases long but refNCBI is different length: - wc -l snp* # 26033053 snp131.bed # 22 snp131.sql # 7 snp131Errors.bed # 18 snp131ExceptionDesc.tab # 4281351 snp131Exceptions.bed # 8M new snps, lots more exceptions than snp130 (had 2631563) # Make one big fasta file. # It's a monster: 18G! Can we split by hashing rsId? zcat rs_fasta/rs_ch*.fas.gz \ | perl -wpe 's/^>gnl\|dbSNP\|(rs\d+) .*/>$1/ || ! /^>/ || die;' \ > snp131.fa # Check for duplicates. grep ^\>rs snp131.fa | sort > /data/tmp/seqHeaders wc -l /data/tmp/seqHeaders #23653726 /data/tmp/seqHeaders uniq /data/tmp/seqHeaders | wc -l #23653726 # Use hgLoadSeq to generate .tab output for sequence file offsets, # and keep only the columns that we need: acc and file_offset. # Index it and translate to snpSeq table format. hgLoadSeq -test placeholder snp131.fa #23653726 sequences #128.364u 25.531s 10:52.02 23.6% 0+0k 0+0io 0pf+0w cut -f 2,6 seq.tab > snp131Seq.tab rm seq.tab # Load up main track tables. cd /hive/data/outside/dbSNP/131/human hgLoadBed -tab -onServer -tmpDir=/data/tmp -allowStartEqualEnd \ hg19 snp131 -sqlTable=snp131.sql snp131.bed #Loaded 26033053 elements of size 17 #162.666u 19.611s 8:53.56 34.1% 0+0k 0+0io 0pf+0w hgLoadBed -tab -onServer -tmpDir=/data/tmp -allowStartEqualEnd \ hg19 snp131Exceptions -sqlTable=$HOME/kent/src/hg/lib/snp125Exceptions.sql -renameSqlTable \ snp131Exceptions.bed #Loaded 4281351 elements of size 5 #32.020u 2.006s 1:22.87 41.0% 0+0k 0+0io 0pf+0w hgLoadSqlTab hg19 snp131ExceptionDesc ~/kent/src/hg/lib/snp125ExceptionDesc.sql \ snp131ExceptionDesc.tab # Load up sequences. mkdir -p /gbdb/hg19/snp ln -s /hive/data/outside/dbSNP/131/human/snp131.fa /gbdb/hg19/snp/snp131.fa hgLoadSqlTab hg19 snp131Seq ~/kent/src/hg/lib/snpSeq.sql snp131Seq.tab # Put in a link where one would expect to find the track build dir... ln -s /hive/data/outside/dbSNP/131/human /hive/data/genomes/hg19/bed/snp131 #*** NOTE FOR NEXT TIME: ask cluster-admin to pack the snp131 table # Look at the breakdown of exception categories: cd /hive/data/outside/dbSNP/131/human cut -f 5 snp131Exceptions.bed | sort | uniq -c | sort -nr #3088435 MultipleAlignments # 886159 ObservedMismatch # 92341 SingleClassTriAllelic # 70184 SingleClassZeroSpan # 43319 ObservedTooLong # 25745 MixedObserved # 22606 SingleClassLongerSpan # 19681 SingleClassQuadAllelic # 15245 FlankMismatchGenomeShorter # 9808 DuplicateObserved # 4463 NamedDeletionZeroSpan # 2040 FlankMismatchGenomeLonger # 802 ObservedContainsIupac # 317 NamedInsertionNonzeroSpan # 142 FlankMismatchGenomeEqual # 62 RefAlleleMismatch # 1 RefAlleleRevComp # 1 ObservedWrongFormat # Compared to snp130, nice to see fewer disfunctional locTypes (FlankMismatch*) # and singleClassQuadAllelic -- major increases in most others though. # Sent a few bug reports to dbSNP # Tweaked 8/4/10 to correct missing-func (loophole fixed in perl that generates # ucscFunc.txt above). hgsql hg19 -e "update snp131 set func = 'unens' where name = 'rs75946332' and func = '';" ############################################################################ # SPLIT SNP131 INTO CLINICAL / NON-CLINICAL (DONE 8/19/10 angie) # http://redmine.soe.ucsc.edu/issues/559 cd /hive/data/outside/dbSNP/131/human/data wget --timestamping ftp://ftp.ncbi.nlm.nih.gov/snp/database/organism_data/human_9606/SNP_bitfield.bcp.gz # I did a little analysis of the bitfields -- see file # /hive/data/outside/dbSNP/131/human/data/bitfield_breakdown.txt . cd /hive/data/outside/dbSNP/131/human zcat data/SNP_bitfield.bcp.gz \ | perl -wpe '@w = split; if ($w[3] & 0x40) { $_ = "rs$w[0]\n" } else { $_ = ""; }' \ > clinicalRsIds.txt wc -l clinicalRsIds.txt #16605 clinicalRsIds.txt grep -Fwf clinicalRsIds.txt snp131.bed > snp131Clinical.bed wc -l snp131Clinical.bed #14907 snp131Clinical.bed # Wow, just a subset have been mapped to hg19, bummer. grep -vFwf clinicalRsIds.txt snp131.bed > snp131NonClinical.bed wc -l snp131*Clinical.bed # 14907 snp131Clinical.bed # 26018146 snp131NonClinical.bed # 26033053 total # Good, 26033053 is the right total. # Edit snp131.sql to use table name "snp131Tmp" so we don't nuke snp131. hgLoadBed -tab -onServer -tmpDir=/data/tmp -allowStartEqualEnd \ hg19 snp131Clinical -sqlTable=snp131.sql -renameSqlTable snp131Clinical.bed #Loaded 14907 elements of size 17 hgLoadBed -tab -onServer -tmpDir=/data/tmp -allowStartEqualEnd \ hg19 snp131NonClinical -sqlTable=snp131.sql -renameSqlTable snp131NonClinical.bed #Loaded 26018146 elements of size 17 # 9/1/10: Don't forget to fix the empty-func bug! hgsql hg19 -e 'update snp131Clinical set func = "unens" where func = "";' ############################################################################ # SPLIT SNP131 INTO MULTIMAPPED / HAPMAP+1000GENOMES / MISC (DONE 11/5/10 angie) # another swipe at http://redmine.soe.ucsc.edu/issues/559 cd /hive/data/outside/dbSNP/131/human # First, separate out the "SNPs" that map to multiple genomic loci: grep -Fw MultipleAlignments snp131Exceptions.bed | wc -l #3088435 grep -Fw MultipleAlignments snp131Exceptions.bed \ | cut -f 4 \ | sort -u > multipleMappingIds.txt wc -l multipleMappingIds.txt #978068 multipleMappingIds.txt grep -Fwf multipleMappingIds.txt snp131.bed > snp131NonUnique.bed wc -l snp131NonUnique.bed #3088435 snp131NonUnique.bed grep -vFwf multipleMappingIds.txt snp131.bed > snp131Unique.bed wc -l snp131Unique.bed #22944618 snp131Unique.bed # Next, separate the uniquely mapped SNPs into HapMap and/or 1000 Genomes # (the ones that we are certain have been observed in a large number of # apparently healthy samples) vs. other ones (rarer SNPs, maybe clinical SNPs). #*** NOTE *** To do this right, we need to get allele freq data from dbSNP and use it # as a filter here: egrep -w 'by-hapmap|by-1000genomes' snp131Unique.bed > snp131Common.bed wc -l snp131Common.bed #12750453 snp131Common.bed egrep -vw 'by-hapmap|by-1000genomes' snp131Unique.bed > snp131Misc.bed wc -l snp131Misc.bed #10194165 snp131Misc.bed # How many "clinical" SNPs (i.e. included in a Locus-Specific Database) are in the common set? grep -Fwf clinicalRsIds.txt snp131Common.bed > snp131CommonButClinical.bed wc -l snp131CommonButClinical.bed #2373 snp131CommonButClinical.bed calc 2373 / 16605 #2373 / 16605 = 0.142909 # A higher percentage than I expected... are 15% of OMIM / LSDB SNPs common? # Spot-checking, OMIM will mention SNPs from GWAS, or as endpoints of an interval... # the SNPs are clearly common but sometimes common variants are associated with # a disorder. # How many "clinical" SNPs in the NonUnique set? grep -Fwf clinicalRsIds.txt snp131NonUnique.bed | wc -l #901 # Load tables: foreach t (snp131Common snp131Misc snp131NonUnique) hgLoadBed -tab -onServer -tmpDir=/data/tmp -allowStartEqualEnd \ hg19 $t -sqlTable=snp131.sql -renameSqlTable $t.bed end #Reading snp131Common.bed #Loaded 12750453 elements of size 17 #Reading snp131Misc.bed #Loaded 10194165 elements of size 17 #Reading snp131NonUnique.bed #Loaded 3088435 elements of size 17 ############################################################################ # ORTHOLOGOUS ALLELES IN CHIMP AND MACAQUE FOR SNP131 (DONE 6/3/10 angie) # First done 4/15/10. Then found that SNPs that appeared on both a main chrom # (like chr6) and on a haplo chrom (like chr6_cox_hap2) were being flagged # as multiple alignments when they should be, excluding them from this. # Regenerated exceptions, then regenerated this. mkdir /hive/data/genomes/hg19/bed/snp131Ortho cd /hive/data/genomes/hg19/bed/snp131Ortho # Following Heather's lead in snp126orthos, filter SNPs to to keep # only those with class=single, length=1, chrom!~random; # Exclude those with exceptions MultipleAlignments, # SingleClassTriAllelic or SingleClassQuadAllelic. # Unlike snp masking, we do not filter for weight -- don't know why. awk '$5 ~ /^MultipleAlignments|SingleClassTriAllelic|SingleClassQuadAllelic/ {print $4;}' \ /hive/data/outside/dbSNP/131/human/snp131Exceptions.bed \ | sort -u \ > snp131ExcludeIds.txt awk '$3-$2 == 1 && $1 !~ /_random/ && $11 == "single" {print;}' \ /hive/data/outside/dbSNP/131/human/snp131.bed \ | grep -vFwf snp131ExcludeIds.txt \ > snp131Simple.bed #333.829u 11.879s 3:57.31 145.6% 0+0k 0+0io 0pf+0w wc -l snp131Simple.bed #17784981 snp131Simple.bed #with too many SNPs excluded, was: 17337248 snp131Simple.bed # Glom all human info that we need for the final table onto the # name, to sneak it through liftOver: rsId|chr|start|end|obs|ref|strand awk 'BEGIN{OFS="\t";} \ {print $1, $2, $3, \ $4 "|" $1 "|" $2 "|" $3 "|" $9 "|" $8 "|" $6, \ 0, $6;}' \ snp131Simple.bed > snp131ForLiftOver.bed # Map coords to chimp using liftOver. mkdir run.liftOChimp cd run.liftOChimp mkdir split out splitFile ../snp131ForLiftOver.bed 25000 split/chunk cp /dev/null jobList foreach f (split/chunk*) echo liftOver $f \ /hive/data/genomes/hg19/bed/liftOver/hg19ToPanTro2.over.chain.gz \ \{check out exists out/panTro2.$f:t.bed\} out/hg19.$f:t.unmapped \ >> jobList end ssh swarm cd /hive/data/genomes/hg19/bed/snp131Ortho/run.liftOChimp para make jobList #Completed: 712 of 712 jobs #CPU time in finished jobs: 127853s 2130.88m 35.51h 1.48d 0.004 y #IO & Wait Time: 11528s 192.14m 3.20h 0.13d 0.000 y #Average job time: 196s 3.26m 0.05h 0.00d #Longest finished job: 506s 8.43m 0.14h 0.01d #Submission to last job: 676s 11.27m 0.19h 0.01d # Map coords to orangutan using liftOver. mkdir ../run.liftOPon cd ../run.liftOPon mkdir out ln -s ../run.liftOChimp/split . cp /dev/null jobList foreach f (split/chunk*) echo liftOver $f \ /hive/data/genomes/hg19/bed/liftOver/hg19ToPonAbe2.over.chain.gz \ \{check out exists out/ponAbe2.$f:t.bed\} out/hg19.$f:t.unmapped \ >> jobList end para make jobList # on pk: #Completed: 712 of 712 jobs #CPU time in finished jobs: 230882s 3848.03m 64.13h 2.67d 0.007 y #IO & Wait Time: 3660s 61.00m 1.02h 0.04d 0.000 y #Average job time: 329s 5.49m 0.09h 0.00d #Longest finished job: 1019s 16.98m 0.28h 0.01d #Submission to last job: 1667s 27.78m 0.46h 0.02d # Map coords to macaque using liftOver. mkdir ../run.liftOMac cd ../run.liftOMac mkdir out ln -s ../run.liftOChimp/split . cp /dev/null jobList foreach f (split/chunk*) echo liftOver $f \ /hive/data/genomes/hg19/bed/liftOver/hg19ToRheMac2.over.chain.gz \ \{check out exists out/rheMac2.$f:t.bed\} out/hg19.$f:t.unmapped \ >> jobList end para make jobList #Completed: 712 of 712 jobs #CPU time in finished jobs: 281168s 4686.14m 78.10h 3.25d 0.009 y #IO & Wait Time: 22164s 369.39m 6.16h 0.26d 0.001 y #Average job time: 426s 7.10m 0.12h 0.00d #Longest finished job: 868s 14.47m 0.24h 0.01d #Submission to last job: 872s 14.53m 0.24h 0.01d cd /hive/data/genomes/hg19/bed/snp131Ortho # Concatenate the chimp results, sorting by chimp pos in order to # efficiently access 2bit sequence in getOrthoSeq. The output of # that is then sorted by the glommed human info field, so that we # can use join to combine chimp and macaque results in the next step. # Ditto for macaque and orangutan. Each command pipe takes ~6 minutes: sort -k1,1 -k2n,2n run.liftOChimp/out/panTro2.chunk*.bed \ | ~/kent/src/hg/snp/snpLoad/getOrthoSeq.pl /cluster/data/panTro2/panTro2.2bit \ | sort > panTro2.orthoGlom.txt sort -k1,1 -k2n,2n run.liftOPon/out/ponAbe2.chunk*.bed \ | ~/kent/src/hg/snp/snpLoad/getOrthoSeq.pl /cluster/data/ponAbe2/ponAbe2.2bit \ | sort > ponAbe2.orthoGlom.txt sort -k1,1 -k2n,2n run.liftOMac/out/rheMac2.chunk*.bed \ | ~/kent/src/hg/snp/snpLoad/getOrthoSeq.pl /cluster/data/rheMac2/rheMac2.2bit \ | sort > rheMac2.orthoGlom.txt wc -l panTro2.orthoGlom.txt ponAbe2.orthoGlom.txt rheMac2.orthoGlom.txt # 16641106 panTro2.orthoGlom.txt # 15796202 ponAbe2.orthoGlom.txt # 14289736 rheMac2.orthoGlom.txt #was: 16230258 panTro2.orthoGlom.txt #was: 15535287 ponAbe2.orthoGlom.txt #was: 13996256 rheMac2.orthoGlom.txt # Use the glommed name field as a key to join up chimp and macaque # allele data. Include glommed name from both files because if only # file 2 has a line for the key in 2.1, then 1.1 is empty. Then plop # in the orthoGlom fields from each file, which are in the same order # as the chimp and macaque columns of snp131OrthoPanTro2RheMac2. join -o '1.1 2.1 1.2 1.3 1.4 1.5 1.6 2.2 2.3 2.4 2.5 2.6' \ -a 1 -a 2 -e '?' \ panTro2.orthoGlom.txt ponAbe2.orthoGlom.txt \ | awk '{if ($1 != "?") { print $1, $3,$4,$5,$6,$7,$8,$9,$10,$11,$12; } \ else { print $2, $3,$4,$5,$6,$7,$8,$9,$10,$11,$12; }}' \ > tmp.txt join -o '1.1 2.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 1.10 1.11 2.2 2.3 2.4 2.5 2.6' \ -a 1 -a 2 -e '?' \ tmp.txt rheMac2.orthoGlom.txt \ | perl -wpe 'chomp; \ ($glom12, $glom3, $o1Chr, $o1Start, $o1End, $o1Al, $o1Strand, \ $o2Chr, $o2Start, $o2End, $o2Al, $o2Strand, \ $o3Chr, $o3Start, $o3End, $o3Al, $o3Strand) = split; \ $glomKey = ($glom12 ne "?") ? $glom12 : $glom3; \ ($rsId, $hChr, $hStart, $hEnd, $hObs, $hAl, $hStrand) = \ split(/\|/, $glomKey); \ $o1Start =~ s/^\?$/0/; $o2Start =~ s/^\?$/0/; $o3Start =~ s/^\?$/0/; \ $o1End =~ s/^\?$/0/; $o2End =~ s/^\?$/0/; $o3End =~ s/^\?$/0/; \ print join("\t", $hChr, $hStart, $hEnd, $rsId, $hObs, $hAl, $hStrand, \ $o1Chr, $o1Start, $o1End, $o1Al, $o1Strand, \ $o2Chr, $o2Start, $o2End, $o2Al, $o2Strand, \ $o3Chr, $o3Start, $o3End, $o3Al, $o3Strand) . "\n"; \ s/^.*$//;' \ | sort -k1,1 -k2n,2n > snp131OrthoPt2Pa2Rm2.bed #437.114u 37.309s 6:33.92 120.4% 0+0k 0+0io 0pf+0w wc -l snp131OrthoPt2Pa2Rm2.bed #17276174 snp131OrthoPt2Pa2Rm2.bed #was: 16842459 snp131OrthoPt2Pa2Rm2.bed hgLoadBed -tab -onServer -tmpDir=/data/tmp -renameSqlTable \ -sqlTable=$HOME/kent/src/hg/lib/snpOrthoPanPonRhe.sql \ hg19 snp131OrthoPt2Pa2Rm2 snp131OrthoPt2Pa2Rm2.bed #Loaded 17276174 elements of size 22 #123.287u 13.079s 8:17.88 27.3% 0+0k 0+0io 0pf+0w # Cleanup: nice gzip snp131Simple.bed snp131ExcludeIds.txt snp131ForLiftOver.bed rm -r run*/split tmp.txt *.orthoGlom.txt bed.tab ############################################################################ # DBSNP CODING ANNOTATIONS (DONE 10/12/10 angie) # Updated 10/12/10 - redone w/corrected genome coords (Redmine Track #1249) # Updated 5/25/10 with corrected function codes (b131_SNPContigLocusId_37_1.bcp.gz). # Updated 4/16 - redone w/snp131, using mapping locations of dbSNP's func. annos. # found some strange function codes and notified dbSNP. # originally done 6/2/09 cd /hive/data/outside/dbSNP/131/human # ncbiFuncAnnotations.txt has NCBI coords: 0-based, fully closed. # For anything except an insertion (0 bases between flanks), # we need to add 1 to the end coord. For an insertion, we need # to add 1 to the start coord. Make a hash of the insertion IDs, # then look up each ID in ncbiFuncAnnotations.txt to tell which # transform to apply. # Note: sort -u with the keys below is too restrictive -- we need full line uniq. perl -we 'open($IDS, "ncbiFuncInsertions.ctg.bed") || die "ids: $!"; \ while (<$IDS>) { chomp; $ids{$_} = 1; } \ close($IDS); \ %coding = (2=>1, 3=>1, 4=>1, 8=>1, 9=>1, 41=>1, 42=>1, 44=>1, 45=>1); \ while (<>) { \ chomp; @w = split("\t"); # id, ctg, start, end, ... \ next unless $coding{$w[5]}; \ $bed4 = join("\t", $w[1], $w[2], $w[3], $w[0]); \ if (exists $ids{$bed4} && $w[3] == $w[2]+1) { \ $w[2]++; # 2-base insertions: increment start coord \ } else { \ $w[3]++; # increment end coord to get half-open \ } \ print join("\t", @w) . "\n"; \ }' ncbiFuncAnnotations.txt \ | sort -k1n,1n -k2,2 -k3n,3n -k5,5 -k6n,6n \ | uniq \ > ncbiCodingAnnotations.txt wc -l ncbiCodingAnnotations.txt #950616 ncbiCodingAnnotations.txt # How many & what kinds of function types? cut -f 6 ncbiCodingAnnotations.txt \ | sort -n | uniq -c # 168639 3 (coding-synon) # 443419 8 (cds-reference -- ignored) # 1 9 (coding-synonymy-unens: rs80359842) # 9790 41 (nonsense) # 261982 42 (missense) # 65656 44 (frameshift) # 1129 45 (cds-indel) # Gather up multiple annotation lines into one line per {snp, gene, frame}: perl -e 'while (<>) { chomp; \ my ($rsId, $ctg, $s, $e, $txId, $fxn, $frm, $nt, $aa, $codon) = split("\t"); \ if (defined $lastRs && \ ($lastRs != $rsId || $lastCtg ne $ctg || $lastS != $s || \ $lastTx ne $txId || $lastFrm ne $frm)) { \ if (defined $refRow) { \ $fxns = "$refRow->[0],$fxns"; $nts = "$refRow->[1],$nts"; \ $aas = "$refRow->[2],$aas"; $codons = "$refRow->[3],$codons"; \ } \ print "$lastCtg\t$lastS\t$lastE\trs$lastRs\t$lastTx\t$lastFrm\t" . \ "$count\t$fxns\t$nts\t$codons\t$aas\n"; \ $refRow = undef; @rows = (); ($count, $fxns, $nts, $codons, $aas) = (); \ } \ ($lastRs, $lastCtg, $lastS, $lastE, $lastTx, $lastFrm) = \ ($rsId, $ctg, $s, $e, $txId, $frm); \ $count++; \ if ($fxn == 8) { \ $refRow = [$fxn, $nt, $aa, $codon]; \ } else { \ $fxns .= "$fxn,"; $nts .= "$nt,"; $aas .= "$aa,"; $codons .= "$codon,"; \ } \ } \ if (defined $refRow) { \ $fxns = "$refRow->[0],$fxns"; $nts = "$refRow->[1],$nts"; \ $aas = "$refRow->[2],$aas"; $codons = "$refRow->[3],$codons"; \ } \ print "$lastCtg\t$lastS\t$lastE\trs$lastRs\t$lastTx\t$lastFrm\t" . \ "$count\t$fxns\t$nts\t$codons\t$aas\n";' \ ncbiCodingAnnotations.txt \ | liftUp snp131CodingDbSnp.bed /hive/data/genomes/hg19/jkStuff/liftContigs.lft warn stdin hgLoadBed hg19 snp131CodingDbSnp -sqlTable=$HOME/kent/src/hg/lib/snp125Coding.sql \ -renameSqlTable -tab -notItemRgb -allowStartEqualEnd \ snp131CodingDbSnp.bed #Loaded 443454 elements of size 11 ############################################################################ # SNPMASKED SEQUENCE FOR SNP131 (DONE 5/27/10 angie) mkdir /hive/data/genomes/hg19/snp131Mask cd /hive/data/genomes/hg19/snp131Mask # Identify rsIds with various problems -- we will exclude those. # MultipleAlignments is kinda broad because anything that maps on # both chrN and chrN_foo_hap1 will be excluded... similarly, extra # matches on chrN_random might disqualify good matches on chrN. # Well, erring on the side of caution is good. awk '$5 ~ /^MultipleAlignments|ObservedTooLong|ObservedWrongFormat|ObservedMismatch|MixedObserved$/ {print $4;}' \ /hive/data/outside/dbSNP/131/human/snp131Exceptions.bed \ | sort -u \ > snp131ExcludeRsIds.txt time grep -vFwf snp131ExcludeRsIds.txt \ /hive/data/outside/dbSNP/131/human/snp131.bed \ > snp131Cleaned.bed #193.507u 5.203s 4:07.62 80.2% 0+0k 0+0io 0pf+0w # Substitutions: mkdir substitutions snpMaskSingle snp131Cleaned.bed /hive/data/genomes/hg19/hg19.2bit stdout \ | faSplit byname stdin substitutions/ # 180 warnings about differing observed strings at same base position -- # saved as diffObserved.txt. #Masked 17377658 snps in 17377491 out of 3099287100 genomic bases #/hive/data/genomes/hg19/hg19.2bit has 3137161264 total bases, but the total number of bases in sequences for which we masked snps is 3099287100 (difference is 37874164) #52.903u 10.964s 4:49.08 22.0% 0+0k 0+0io 3pf+0w # Check that 37874164 is the total #bases in sequences with nothing in snp131Cleaned: grep -Fw single snp131Cleaned.bed | cut -f 1 | uniq > /tmp/1 grep -vwf /tmp/1 ../chrom.sizes grep -vwf /tmp/1 ../chrom.sizes \ | awk 'BEGIN {TOTAL = 0;} {TOTAL += $2;} END {printf "%d\n", TOTAL;}' #37874164 #TODO: send list to dbSNP. # Make sure that sizes are identical, first diffs are normal -> IUPAC, # and first diffs' case is preserved: foreach f (substitutions/chr*.fa) faCmp -softMask $f ../[1-9UMXY]*/$f:t |& grep -v "that differ" end #chr1 in substitutions/chr1.fa differs from chr1 at ../1/chr1.fa at base 10491 (y != c) #chr10 in substitutions/chr10.fa differs from chr10 at ../10/chr10.fa at base 61004 (r != a) #... #(output OK -- ambiguous bases replacing [agct] at SNP positions) foreach f (substitutions/chr*.fa) echo $f:t:r mv $f $f:r.subst.fa gzip $f:r.subst.fa end # Insertions: mkdir insertions snpMaskAddInsertions snp131Cleaned.bed /hive/data/genomes/hg19/hg19.2bit stdout \ | faSplit byname stdin insertions/ #Added 2496221 snps totaling 5939697 bases to 3098816404 genomic bases #/hive/data/genomes/hg19/hg19.2bit has 3137161264 total bases, but the total number of bases in sequences for which we masked snps is 3098816404 (difference is 38344860) #52.764u 12.593s 3:55.47 27.7% 0+0k 0+0io 2pf+0w # Again, that just means that some chroms didn't have filtered SNPs. # Make sure that all sizes have increased relative to original: foreach f (insertions/chr*.fa) echo -n "${f:t:r}: " faCmp -softMask $f ../[1-9UMXY]*/$f:t |& grep -v "that differ" \ |& perl -we '$_=<>; \ if (/^\w+ in \S+ has (\d+) bases. \w+ in \S+ has (\d+) bases/) { \ if ($1 > $2) {print "OK: ins size $1 > $2\n";} \ else {die "ERROR: ins size $1 <= $2\n";} \ } else {die $_;}' end #chr1: OK: ins size 249717078 > 249250621 #chr10: OK: ins size 135805198 > 135534747 #... #(output OK -- new sizes > old) foreach f (insertions/chr*.fa) mv $f $f:r.ins.fa gzip $f:r.ins.fa end # Deletions: mkdir deletions snpMaskCutDeletions snp131Cleaned.bed /hive/data/genomes/hg19/hg19.2bit stdout \ | faSplit byname stdin deletions/ #Cut 1522178 snps totaling 3455905 bases from 3098701788 genomic bases #/hive/data/genomes/hg19/hg19.2bit has 3137161264 total bases, but the total number of bases in sequences for which we masked snps is 3098701788 (difference is 38459476) #114.251u 20.911s 4:24.26 51.1% 0+0k 0+0io 3pf+0w # Again, that just means that some chroms didn't have filtered SNPs. # Make sure that all sizes have decreased relative to original: foreach f (deletions/chr*.fa) echo -n "${f:t:r}: " faCmp -softMask $f ../[1-9UMXY]*/$f:t |& grep -v "that differ" \ |& perl -we '$_=<>; \ if (/^\w+ in \S+ has (\d+) bases. \w+ in \S+ has (\d+) bases/) { \ if ($1 < $2) {print "OK: del size $1 < $2\n";} \ else {die "ERROR: del size $1 >= $2\n";} \ } else {die $_;}' end #chr1: OK: del size 248968549 < 249250621 #chr10: OK: del size 135378065 < 135534747 #... #(output OK -- del sizes < old) foreach f (deletions/chr*.fa) mv $f $f:r.del.fa gzip $f:r.del.fa end # Clean up and prepare for download: gzip snp131Cleaned.bed foreach d (substitutions insertions deletions) pushd $d md5sum *.gz > md5sum.txt cp /hive/data/genomes/hg18/snp130Mask/$d/README.txt . popd end # Edit the README.txt in each subdir. # Create download links on hgwdev. # NOTE: Currently we offer only the substitutions. # If we get any user requests, then maybe we can put the insertions # and deletions out there. mkdir /usr/local/apache/htdocs-hgdownload/goldenPath/hg19/snp131Mask ln -s /hive/data/genomes/hg19/snp131Mask/substitutions/* \ /usr/local/apache/htdocs-hgdownload/goldenPath/hg19/snp131Mask/ ## If there is user demand for ins & del, then start over with an empty ## goldenPath/snp131Mask and do this: ## foreach type (substitutions insertions deletions) ## mkdir /usr/local/apache/htdocs-hgdownload/goldenPath/hg19/snp131Mask/$type ## ln -s /hive/data/genomes/hg19/snp131Mask/$type/* \ ## /usr/local/apache/htdocs-hgdownload/goldenPath/hg19/snp131Mask/$type/ ## end ############################################################################## # RE-BUILD sno/miRNA TRACK (DONE - 04-20-2010 - Chin) # The data in this track is out of date so update the track. mkdir -p /hive/data/genomes/hg19/bed/wgRna-2010-04-20 cd /hive/data/genomes/hg19/bed/wgRna-2010-04-20 # Download GFF file of latest miRNA annotations from miRBase at the # ftp://mirbase.org/pub/mirbase/CURRENT/. This is Release 14.0 # (September, 2009) # 04-27-2010 Get the newest miRNA release 15 wget --timestamping \ ftp://mirbase.org/pub/mirbase/CURRENT/genomes/hsa.gff # Re-format, need to add "chr" to the beginning of each line. sed -e 's/^/chr/' hsa.gff > hsMirBaseFormat.gff # Remove extra "chr" in comment lines perl -pi.bak -e 's/chr#/#/' hsMirBaseFormat.gff # Change chrMT to chrM perl -pi.bak -e 's/chrMT/chrM/' hsMirBaseFormat.gff # Remove all but ID name in last field sed -e 's/\";//g' hsMirBaseFormat.gff | sed -e 's/ID=\"//g' \ | sed -e 's/ACC=\"MI[0-9]*\s//' > hsMirBaseFormatIdOnly.gff # set score to zero, since the color is based on the type of the RNA # Starts appear to be 1-based when compared to miRNAs in current # track # and those in Ensembl. # Confirmed with Sam Griffith-Jones (one of the authors of miRBase, # sam.griffith-jones@manchester.ac.uk) that these GFF coordinates # are 1-based. # Also add thickStart and thickEnd columns and "miRNA" for type. awk 'BEGIN {FS="\t"} {OFS="\t"} \ {if ($0 !~ /#/ && $7 == "+") \ print $1, $4-1, $5, $9, 0, $7, 0, 0, "miRNA"; \ else if ($0 !~ /#/ && $7 == "-") \ print $1, $4-1, $5, $9, 0, $7, 0, 0, "miRNA";}' \ hsMirBaseFormatIdOnly.gff > hsMirBaseFormatIdOnly.bed # 2010-04-21 # Down load the current snoRNABase coordinates (version 3, based on hg19) # from # http://www-snorna.biotoul.fr/coordinates.php # to # /hive/data/genomes/hg19/bed/wgRna-2010-04-20/snoRNABaseVer3Coords.xls cd /hive/data/genomes/hg19/bed/wgRna-2010-04-20/ cp snoRNABaseVer3Coords.xls snoRNABaseVer3Coords.txt # remove the header line (column title). # remove all the quotes surrounding characters field perl -pi.bak -e 's/\"//g' snoRNABaseVer3Coords.txt # Reformat to BED format with thickStart and thickEnd set to 0. awk 'BEGIN {FS="\t"} {OFS="\t"} \ {if ($4 == "+") \ print $1, $2-1, $3, $5, 0, $4, 0, 0,$6; \ else if ($4 == "-") \ print $1, $2-1, $3, $5, 0, $4, 0, 0,$6;}' \ snoRNABaseVer3Coords.txt > snoRNABaseVer3Coords.bed # 2010-08-02: snoRnaBase team has not response to hg19 update request. # use liftOver to convert the 400 coordinates to hg19 directly. liftOver snoRNABaseVer3Coords.bed -bedPlus=3 \ /hive/data/genomes/hg18/bed/liftOver10K/hg18ToHg19.over.chain.gz \ snoRNABaseHg19Coords.bed unMapped # Reading liftover chains # Mapping coordinates # Merge the miRNA and snoRNA files together cat hsMirBaseFormatIdOnly.bed snoRNABaseHg19Coords.bed \ > wgRna20100420.bed # Create and load wgRna cp -p /cluster/bin/build/build-kent/src/hg/lib/wgRna.sql wgRna.sql hgLoadBed -sqlTable=wgRna.sql hg19 wgRna wgRna20100420.bed # Reading wgRna20100420.bed # Loaded 1341 elements of size 9 # Sorted # Creating table definition for wgRna # Saving bed.tab # Loading hg19 # Clean up rm *.bak # some details about this track: hgsql -e "select count(*) from wgRna;" hg19 # 1341 # contain 4 types: cat wgRna20100420.bed | awk '{print $9}' | sort | uniq # CDBox # HAcaBox # miRNA # scaRna hgsql -e "select type, count(*) from wgRna group by type;" hg19 # CDBox 269 # HAcaBox 112 # miRNA 939 # scaRna 21 featureBits hg19 wgRna # 122226 bases of 2899183193 (0.004%) in intersection ############################################################################# # AFFY U133Plus2 (DONE 2010-10-04 Chin) (Removed prefixes 2010-11-29 galt) # Align probes ssh swarm cd /hive/data/genomes/hg19/bed mkdir -p affyProbes/affyU133Plus2/run cd affyProbes/affyU133Plus2/run mkdir psl ls -1 /scratch/data/hg19/nib/*.nib > genome.lst ls -1 /hive/data/outside/affyProbes/U133Plus2_all.fa > mrna.lst cat << '_EOF_' > gsub #LOOP /cluster/bin/x86_64/blat -fine -ooc=/scratch/data/hg19/11.ooc $(path1) $(path2) {check out line+ psl/$(root1)_$(root2).psl} #ENDLOOP '_EOF_' # << this line makes emacs coloring happy gensub2 genome.lst mrna.lst gsub jobList para create jobList para try para check para push para time # Completed: 96 of 96 jobs # CPU time in finished jobs: 31136s 518.93m 8.65h 0.36d 0.001 y # IO & Wait Time: 2218s 36.97m 0.62h 0.03d 0.000 y # Average job time: 347s 5.79m 0.10h 0.00d # Longest finished job: 2548s 42.47m 0.71h 0.03d # Submission to last job: 4244s 70.73m 1.18h 0.05d # Do sort, best in genome filter. # to create affyU133Plus2.psl. pslSort dirs raw.psl tmp psl pslReps -minCover=0.3 -minAli=0.95 -nearTop=0.005 raw.psl ../affyU133Plus2.psl /dev/null # Processing raw.psl to ../affyU133Plus2.psl and /dev/null # .....Processed 693340 alignments rm -r raw.psl psl # Load probes and alignments into database. ssh hgwdev cd /hive/data/genomes/hg19/bed/affyProbes/affyU133Plus2 # remove prefix perl -pi.bak -e "s/U133\+2://" affyU133Plus2.psl hgLoadPsl hg19 affyU133Plus2.psl hgLoadSeq -abbr=U133+2: hg19 /gbdb/hgFixed/affyProbes/U133Plus2_all.fa # note: re-ran the -replace was used with hgLoadSeq # Creating seq.tab file # Adding /gbdb/hgFixed/affyProbes/U133Plus2_all.fa # 54613 sequences # Updating seq table # All done # hgsql -e "select count(*) from affyU133Plus2;" hg19 # 58592 # Added ensToU133Plus2 table hgMapToGene hg19 affyU133Plus2 ensGene ensToU133Plus2 ############################################################################# # AFFY U95 (DONE 2010-10-07 Chin) (Removed prefixes 2010-11-29 galt) # Align probes ssh swarm cd /hive/data/genomes/hg19/bed mkdir -p affyProbes/affyU95/run cd affyProbes/affyU95/run mkdir psl ls -1 /scratch/data/hg19/nib/*.nib > genome.lst ls -1 /hive/data/outside/affyProbes/HG-U95Av2_all.fa > mrna.lst cat << '_EOF_' > gsub #LOOP /cluster/bin/x86_64/blat -fine -ooc=/scratch/data/hg19/11.ooc $(path1) $(path2) {check out line+ psl/$(root1)_$(root2).psl} #ENDLOOP '_EOF_' # << this line makes emacs coloring happy gensub2 genome.lst mrna.lst gsub jobList para create jobList para try para check para push para time # Completed: 93 of 93 jobs # CPU time in finished jobs: 2101s 35.01m 0.58h 0.02d 0.000 y # IO & Wait Time: 657s 10.95m 0.18h 0.01d 0.000 y # Average job time: 30s 0.49m 0.01h 0.00d # Longest finished job: 165s 2.75m 0.05h 0.00d # Submission to last job: 619s 10.32m 0.17h 0.01d # Estimated complete: 0s 0.00m 0.00h 0.00d #Submission to last job: 1685s 28.08m 0.47h 0.02d # Do sort, best in genome filter. # to create affyU95.psl. pslSort dirs raw.psl tmp psl pslReps -minCover=0.3 -minAli=0.95 -nearTop=0.005 raw.psl ../affyU95.psl /dev/null rm -r raw.psl psl # Load probes and alignments into database. ssh hgwdev cd /hive/data/genomes/hg19/bed/affyProbes/affyU95 # remove prefix perl -pi.bak -e "s/U95Av2://" affyU95.psl hgLoadPsl hg19 affyU95.psl hgLoadSeq -abbr=U95Av2: hg19 /gbdb/hgFixed/affyProbes/HG-U95Av2_all.fa # note: re-ran the -replace was used with hgLoadSeq # Creating seq.tab file # Adding /gbdb/hgFixed/affyProbes/HG-U95Av2_all.fa # 12386 sequences # Updating seq table # All done # Added ensToU95 table hgMapToGene hg19 affyU95 ensGene ensToU95 ############################################################################# # UPDATE KEGG TABLES (DONE, Fan, 6/18/10) mkdir -p /hive/data/genomes/hg19/bed/pathways/kegg cd /hive/data/genomes/hg19/bed/pathways/kegg wget --timestamping ftp://ftp.genome.jp/pub/kegg/pathway/map_title.tab cat map_title.tab | sed -e 's/\t/\thsa\t/' > j.tmp cut -f 2 j.tmp >j.hsa cut -f 1,3 j.tmp >j.1 paste j.hsa j.1 |sed -e 's/\t//' > keggMapDesc.tab rm j.hsa j.1 rm j.tmp hgsql hg19 -e 'drop table keggMapDesc' hgsql hg19 < ~/kent/src/hg/lib/keggMapDesc.sql hgsql hg19 -e 'load data local infile "keggMapDesc.tab" into table keggMapDesc' wget --timestamping ftp://ftp.genome.jp/pub/kegg/genes/organisms/hsa/hsa_pathway.list cat hsa_pathway.list| sed -e 's/path://'|sed -e 's/:/\t/' > j.tmp hgsql hg19 -e 'drop table keggPathway' hgsql hg19 < ~/kent/src/hg/lib/keggPathway.sql hgsql hg19 -e 'load data local infile "j.tmp" into table keggPathway' hgsql hg19 -N -e \ 'select name, locusID, mapID from keggPathway p, ensToLocusLink l where p.locusID=l.value' \ >keggPathway.tab hgsql hg19 -e 'delete from keggPathway' hgsql hg19 -e 'load data local infile "keggPathway.tab" into table keggPathway' rm j.tmp ############################################################################# # Add KEGG column to hg19 Gene Sorter (Done, Fan, 6/18/2010) mkdir -p /hive/data/genomes/hg19/bed/geneSorter cd /hive/data/genomes/hg19/bed/geneSorter hgsql hg19 -N -e 'select kgId, mapID, mapID, "+", locusID from keggPathway' |sort -u|sed -e 's/\t+\t/+/' > ensToKeggEntrez.tab hgsql hg19 -e 'drop table ensToKeggEntrez' hgsql hg19 < ~/kent/src/hg/lib/ensToKeggEntrez.sql hgsql hg19 -e 'load data local infile "ensToKeggEntrez.tab" into table ensToKeggEntrez' ############################################################################# # Haplotype locations (DONE - 2010-06-29 - Hiram) mkdir /hive/data/genomes/hg19/bed/haplotypeLocations cd /hive/data/genomes/hg19/bed/haplotypeLocations for H in 1 2 3 4 5 6 7 8 9 do grep -v "^#" ../../download/alternate_loci/ALT_REF_LOCI_${H}/placed_scaffolds/alt_locus_scaf2primary.pos | awk -F'\t' ' { printf "chr%d\t%d\t%d\t%s\n", $3, $4, $6, $1 } ' done | sed -e "s/HSCHR6_MHC_APD_CTG1/chr6_apd_hap1/; s/HSCHR6_MHC_COX_CTG1/chr6_cox_hap2/; s/HSCHR6_MHC_DBB_CTG1/chr6_dbb_hap3/; s/HSCHR6_MHC_MANN_CTG1/chr6_mann_hap4/; s/HSCHR6_MHC_MCF_CTG1/chr6_mcf_hap5/; s/HSCHR6_MHC_QBL_CTG1/chr6_qbl_hap6/; s/HSCHR6_MHC_SSTO_CTG1/chr6_ssto_hap7/; s/HSCHR4_1_CTG9/chr4_ctg9_hap1/; s/HSCHR17_1_CTG5/chr17_ctg5_hap1/;" > haplotypeLocations.bed hgLoadBed hg19 haplotypeLocations haplotypeLocations.bed featureBits hg19 haplotypeLocations # 7207422 bases of 2897316137 (0.249%) in intersection ############################################################################# # BUILD THE TRACK OF IKMC MAPPED TO HUMAN GENOME. (DONE 5/23/12 angie) # done 8/2/11 Fan ssh hgwdev mkdir -p /hive/data/genomes/hg19/bed/ikmc/2012_05 cd /hive/data/genomes/hg19/bed/ikmc/2012_05 # Save files emailed from Carol Bult as # 20120518_human.gff.gz # Make bed12 with itemRgb: # watch out for a few items on chrUn|NT_167216.1 which we call chrUn_gl000222. zcat 20120518_human.gff.gz \ | sed -e 's/^chrUn|NT_167216.1/chrUn_gl000222/' \ | perl -we \ 'while (<>) { \ s/\r?\n$//; \ ($chr, undef, $ctr, $s, $e, undef, undef, undef, $id, $col, $n) = split("\t"); \ if ($s eq "") { warn "$_\n"; s/^.*//; next; } # Some lines have no coords. \ $col = ($col eq "Yellow") ? "255,215,0" : \ ($col eq "Green") ? "0,240,0" : \ ($col eq "Blue") ? "0,0,200" : "0,0,0"; \ $s--; \ $id =~ s/^MGI:\d+; ([\w ]+); .*/$1/ || die "Cant parse id \"$id\""; \ $id =~ s/ //g; \ my $geneId = join("|", $chr, $ctr, "${n}_$id"); \ push @{$geneBlks{$geneId}}, [$s, $e, $col] unless $e <= 0; \ } \ warn "Got " . scalar(keys %geneBlks) . " genes.\n"; \ foreach my $geneId (keys %geneBlks) { \ my @blks = @{$geneBlks{$geneId}}; \ my ($chrom, $center, $name) = split(/\|/, $geneId); \ my $blkCount = @blks; \ @blks = sort {$a->[0] <=> $b->[0]} @blks; \ my $chromStart = $blks[0]->[0]; \ my $chromEnd = $blks[$blkCount-1]->[1]; \ my $color = $blks[0]->[2]; \ my $blkStarts = ""; \ my $blkSizes = ""; \ foreach my $blk (@blks) { \ my ($start, $end, $col) = @{$blk}; \ $blkStarts .= ($start - $chromStart) . ","; \ $blkSizes .= ($end - $start) . ","; \ if ($col ne $color) { die "Blocks of $geneId of colors $color and $col"; } \ } \ print join("\t", $chrom, $chromStart, $chromEnd, $name, 0, ".", $chromStart, \ $chromStart, $color, $blkCount, $blkSizes, $blkStarts) . "\n"; \ }' \ | sort -k 1,1 -k 2n,2n > hgIkmc.bed #Got 46392 genes. # Make an alias-style table with associated info (MGI ID and status): zcat 20120518_human.gff.gz \ | sed -e 's/^chrUn|NT_167216.1/chrUn_gl000222/' \ | perl -wpe 's/\r?\n$//; @w = split("\t"); \ if ($w[3] eq "") { s/^.*//; next; } # Some lines have no coords. \ if ($w[4] <= 0) { s/^.*//; next; } # A few lines have end=0. \ $w[8] =~ m/^(MGI:\d+); ([\w ]+); (\w.*)/ || die; \ ($mgi, $designId, $status) = ($1, $2, $3); \ $designId =~ s/ //g; \ # NOTE: This line differs from the mouse version: has $designId preceding $w[2]: \ $_ = "$w[10]_$designId\t$mgi,$designId,$w[2],$status\n";' \ | sort -u > hgIkmcExtra.tab wc -l hgIkmcExtra.tab #46392 hgIkmcExtra.tab # load and check tables hgLoadBed hg19 hgIkmc hgIkmc.bed checkTableCoords -verbose=2 hg19 hgIkmc hgLoadSqlTab hg19 hgIkmcExtra $HOME/kent/src/hg/lib/genericAlias.sql hgIkmcExtra.tab runJoiner.csh mm9 ikmc # mm9.ikmcExtra.name - hits 51052 of 51052 ok ############################################################################# # adding patches to the sequence (DONE - 2010-07-23) # fetch the "official" chrM sequence mkdir -p /hive/data/genomes/hg19/bed/additionalSequence/chrM cd /hive/data/genomes/hg19/bed/additionalSequence/chrM wget --timestamping -O NC_012920.1.fa \ "http://www.ncbi.nlm.nih.gov/sviewer/viewer.fcgi?db=nuccore&dopt=fasta&sendto=on&id=NC_012920.1.fa" echo ">chrM_NC_012920" > chrM_NC_012920.fa grep -v "^>" NC_012920.1.fa | sed -e "/^$/d" >> chrM_NC_012920.fa # fetch the first two patches: mkdir -p /hive/data/genomes/hg19/bed/additionalSequence/patches cd /hive/data/genomes/hg19/bed/additionalSequence/patches wget --cut-dirs=7 --no-parent --timestamping --no-remove-listing -m \ -nH --ftp-user=anonymous --ftp-password=yourEmail@your.domain \ "ftp://ftp.ncbi.nlm.nih.gov/genbank/genomes/Eukaryotes/vertebrates_mammals/Homo_sapiens/GRCh37/PATCHES/" # take a look through the downloaded files to find the name # correspondence. The fasta names are in: zcat patch_release_1/FASTA/alt.scaf.fa.gz | grep "^>" # the other names are in: cat patch_release_1/alt_scaffold_placement.txt # Decide on UCSC chrom names # Create a file with these different names to use later: # fasta string alt_scaf_name parent_name UCSC chrom name cat << '_EOF_' > ucscNames.txt gi|289436847|gb|GL339449.1 HSCHR5_1_CTG1 CM000667.1 chr5_ctg1_hap1 gi|289436846|gb|GL339450.1 HG79_PATCH CM000671.1 chr9_gl339450 chrM_NC_012920 unens unens chrM_NC_012920 '_EOF_' # << happy emacs # construct the files for UCSC: mkdir /hive/data/genomes/hg19/bed/additionalSequence/patch1 cd /hive/data/genomes/hg19/bed/additionalSequence/patch1 # add these sequences to existing hg19.2bit to make a new one: cat ../chrM/chrM_NC_012920.fa > patch1.ucsc.fa zcat ../patches/patch_release_1/FASTA/alt.scaf.fa.gz \ | sed -e "s/^>.*GL339449.1.*/>chr5_ctg1_hap1/;" \ -e "s/^>.*GL339450.1.*/>chr9_gl339450/" >> patch1.ucsc.fa twoBitToFa /gbdb/hg19/hg19.2bit hg19.existing.fa faToTwoBit hg19.existing.fa patch1.ucsc.fa hg19.patch1.2bit rm -f /gbdb/hg19/hg19.unmasked.patch1.2bit # temporarily use this unmasked sequence ln -s `pwd`/hg19.unmasked.patch1.2bit /gbdb/hg19/hg19.patch1.2bit twoBitInfo hg19.patch1.2bit stdout | sort -k2nr > patch1.chrom.sizes cat << '_EOF_' > mkTables.pl #!/usr/bin/env perl use strict; use warnings; sub usage() { printf STDERR "usage: mkTables.pl patches.chrom.sizes \\\n"; printf STDERR " ../patches/ucscNames.txt ../patches/patch_release_1/AGP/alt.scaf.agp.gz\n"; } my $argc = scalar(@ARGV); if ($argc < 3) { usage; exit 255; } my $sizes = shift; # patches.chrom.sizes my $names = shift; # patches/ucscNames.txt my $agpFile = shift; # alt.scaf.agp.gz my %glToChr; my %chrToCtg; my %fastaToChr; my %chrToSize; open(FH, "<$sizes") or die "can not read $sizes"; while (my $line = <FH>) { chomp $line; my ($chr, $size) = split('\s+', $line); $chrToSize{$chr} = $size; } close (FH); open(CI, ">chromInfo.txt") or die "can not write to chromInfo.txt"; open(CT, ">ctgPos.txt") or die "can not write to ctgPos.txt"; open(FH, "<$names"); while (my $line = <FH>) { chomp $line; my ($faName, $ctg, $cmName, $chr) = split('\s+', $line); $faName =~ s/.*gb.GL/GL/; my $size = $chrToSize{$chr}; if (exists($glToChr{$faName})) { if ($glToChr{$faName} ne $chr) { printf STDERR "ERROR: contig name: $faName was chr name: $glToChr{$faName}\n"; printf STDERR " now claiming to be chr name: $chr\n"; exit 255; } } else { $glToChr{$faName} = $chr; } printf CT "%s\t%d\t%s\t0\t%d\n", $faName, $size, $chr, $size; printf CI "%s\t%d\t/gbdb/hg19/hg19.patches.2bit\n", $chr, $size; } close (FH); close (CT); close (CI); my $prevObj = ""; my $newIx = 1; open (GP,">gap.txt") or die "can not write to gap.txt"; open (GL,">gold.txt") or die "can not write to gold.txt"; open (FH,"zcat $agpFile|") or die "can not read $agpFile"; while (my $line = <FH>) { next if ($line =~ m/^\s*#/); chomp $line; my ($object, $objStart, $objEnd, $ix, $type, $frag, $fragStart, $fragEnd, $strand) = split('\s+', $line); die "ERROR: can not find contig $object to chr name" if (!exists($glToChr{$object})); $newIx = 1 if ($prevObj ne $object); my $chr = $glToChr{$object}; if ($type eq "N") { # frag is size, fragStart is type of gap, and fragEnd is bridged y/n printf GP "%s\t%d\t%d\t%d\t%s\t%d\t%s\t%s\n", $chr, $objStart-1, $objEnd, $newIx, $type, $frag, $fragStart, $fragEnd; } else { printf GL "%s\t%d\t%d\t%d\t%s\t%s\t%d\t%d\t%s\n", $chr, $objStart-1, $objEnd, $newIx, $type, $frag, $fragStart-1, $fragEnd, $strand; } ++$newIx; $prevObj = $object; printf "%s\n", $line; } close (FH); close (GL); close (GP); '_EOF_' # << happy emacs chmod +x mkTables.pl ./mkTables.pl patch1.chrom.sizes ../patches/ucscNames.txt \ ../patches/patch_release_1/AGP/alt.scaf.agp.gz echo 'chrM_NC_012920 16569 /gbdb/hg19/hg19.patches.2bit' \ >> chromInfo.txt # create tab files hgLoadBed -noLoad -maxChromNameLength=14 \ -sqlTable=/cluster/home/hiram/kent/src/hg/lib/agpFrag.sql \ hg19 tGold gold.txt rm -f gold.tab mv bed.tab gold.tab hgLoadBed -noLoad -maxChromNameLength=14 \ -sqlTable=/cluster/home/hiram/kent/src/hg/lib/gap.sql \ hg19 tGap gap.txt rm -f gap.tab mv bed.tab gap.tab # these table inserts are performed carefully to make sure they are # sane, for example, count the rows before and after load: hgsql -e 'load data local infile "gold.tab" into table gold;' hg19 hgsql -e 'load data local infile "gap.tab" into table gap;' hg19 hgsql -e 'load data local infile "ctgPos.txt" into table ctgPos;' hg19 hgsql -e 'load data local infile "chromInfo.txt" into table chromInfo;' hg19 hgsql -e 'update chromInfo set fileName="/gbdb/hg19/hg19.patch1.2bit";' hg19 cat << '_EOF_' > ctgPos2.txt HSCHR5_1_CTG1 1620324 chr5_ctg1_hap1 0 1620324 F HG79_PATCH 330164 chrUn_gl339450 0 330164 F NC_012920.1 16569 chrM_NC_012920 0 16569 F NC_001807.4 16571 chrM 0 16571 O '_EOF_' # << happy emacs hgsql -e 'load data local infile "ctgPos2.txt" into table ctgPos2;' hg19 # RepeatMasking and SimpleRepeats mkdir /hive/data/genomes/hg19/bed/additionalSequence/patch1/RMRun cd /hive/data/genomes/hg19/bed/additionalSequence/patch1/RMRun ln -s ../patch1.ucsc.fa . time /scratch/data/RepeatMasker/RepeatMasker -align -s \ -species 'Homo sapiens' patch1.ucsc.fa # took about 6 hours. Probably should have broken up the large chr5 bit # sort it: head -3 patch1.ucsc.fa.out | sed -e "s/ *$//" > patch1.ucsc.sort.out headRest 3 patch1.ucsc.fa.out | sort -k5,5 -k6,6n \ | sed -e "s/ *$//" >> patch1.ucsc.sort.out # create a .tab file to load hgLoadBed -noLoad -maxChromNameLength=14 \ -sqlTable=$HOME/kent/src/hg/lib/nestedRepeats.sql \ hg19 tRmsk patch1.ucsc.sort.out mv bed.tab patch1.rmsk.tab hgsql -e 'load data local infile "patch1.rmsk.tab" into table rmsk;' hg19 # create nestedRepeats /cluster/bin/scripts/extractNestedRepeats.pl patch1.ucsc.sort.out # create a .tab file to load hgLoadBed -noLoad -maxChromNameLength=14 \ -sqlTable=$HOME/kent/src/hg/lib/nestedRepeats.sql \ hg19 tNest patch1.nestedRepeats.bed rm -f patch1.nestedRepeats.tab mv bed.tab patch1.nestedRepeats.tab hgsql -e 'load data local infile "patch1.nestedRepeats.tab" into table nestedRepeats;' hg19 mkdir /hive/data/genomes/hg19/bed/additionalSequence/patch1/simpleRepeat cd /hive/data/genomes/hg19/bed/additionalSequence/patch1/simpleRepeat ln -s ../patch1.ucsc.fa . /cluster/bin/$MACHTYPE/trfBig -trf=/cluster/bin/$MACHTYPE/trf \ patch1.ucsc.fa /dev/null -bedAt=patch1.ucsc.bed -tempDir=. awk '$5 <= 12' patch1.ucsc.bed > trfMask.bed mkdir trfMaskChrom splitFileByColumn trfMask.bed trfMaskChrom/ hgLoadBed -oldTable hg19 simpleRepeat patch1.ucsc.bed \ -sqlTable=$HOME/kent/src/hg/lib/simpleRepeat.sql # add these masks cd /hive/data/genomes/hg19/bed/additionalSequence/patch1 twoBitMask -add hg19.unmasked.patch1.2bit RMRun/patch1.ucsc.sort.out \ hg19.rmsk.2bit ln -s `pwd`/hg19.unmasked.patch1.2bit /gbdb/hg19/hg19.patch1.2bit twoBitMask -add hg19.rmsk.2bit simpleRepeat/trfMask.bed hg19.patch1.t.2bit # safe to ignore errors about >= 13 fields twoBitToFa hg19.patch1.t.2bit stdout | faSize stdin \ > hg19.patch1.2bit.faSize 2>&1 # 3139128321 bases (239950803 N's 2899177518 real 1431272440 upper # 1467905078 lower) in 96 sequences in 1 files # %46.76 masked total, %50.63 masked real # update the unmasked sequence from earlier: rm -f hg19.patch1.2bit; mv hg19.patch1.t.2bit hg19.patch1.2bit time blat hg19.patch1.2bit \ /dev/null /dev/null -tileSize=11 -makeOoc=hg19.patch1.11.ooc \ -repMatch=1024 # Wrote 30723 overused 11-mers to hg19.patch1.11.ooc cp -p hg19.patch1.2bit hg19.patch1.11.ooc /hive/data/staging/data/hg19 mkdir nib twoBitToFa -seq=chrM_NC_012920 hg19.patch1.2bit stdout \ | faToNib -softMask stdin nib/chrM_NC_012920.nib twoBitToFa -seq=chr5_ctg1_hap1 hg19.patch1.2bit stdout \ | faToNib -softMask stdin nib/chr5_ctg1_hap1.nib twoBitToFa -seq=chr9_gl339450 hg19.patch1.2bit stdout \ | faToNib -softMask stdin nib/chr9_gl339450.nib mkdir /hive/data/genomes/hg19/bed/additionalSequence/patch1/linSpecRep cd /hive/data/genomes/hg19/bed/additionalSequence/patch1/linSpecRep for C in chr9_gl339450 chrM_NC_012920 chr5_ctg1_hap1 do head -3 ../RMRun/patch1.ucsc.sort.out > ${C}.out grep "${C} " ../RMRun/patch1.ucsc.sort.out >> ${C}.out rm -f ${C}.out_mus* /scratch/data/RepeatMasker/DateRepeats ${C}.out -query human -comp mouse /cluster/bin/scripts/extractRepeats 1 ${C}.out_mus* > ${C}.out.spec rm -f ${C}.out_mus* done # copy new files to /hive/data/staging/data/hg19/ and request rsync # to kluster nodes -rw-rw-r-- 1 2036 Jul 21 15:39 patch1.chrom.sizes -rw-rw-r-- 1 816756572 Jul 23 15:32 hg19.patch1.2bit -rw-rw-r-- 1 122900 Jul 23 15:56 hg19.patch1.11.ooc -rw-rw-r-- 1 8293 Jul 23 15:59 nib/chrM_NC_012920.nib -rw-rw-r-- 1 810170 Jul 23 16:01 nib/chr5_ctg1_hap1.nib -rw-rw-r-- 1 165090 Jul 23 16:01 nib/chr9_gl339450.nib -rw-rw-r-- 1 34676 Jul 23 16:27 lineageSpecificRepeats/chr9_gl339450.out.spec -rw-rw-r-- 1 386 Jul 23 16:27 lineageSpecificRepeats/chrM_NC_012920.out.spec -rw-rw-r-- 1 221381 Jul 23 16:27 lineageSpecificRepeats/chr5_ctg1_hap1.out.spec ############################################################################# # Update BlastTab tables for hg19 (Done, Fan, 8/6/2010) ssh hgwdev mkdir -p /hive/data/genomes/hg19/bed/ucsc.12/hgNearBlastp cd /hive/data/genomes/hg19/bed/ucsc.12/hgNearBlastp mkdir 100806 cd 100806 # Get the proteins used by the other hgNear organisms: pepPredToFa hg19 ensGenePep hg19.ens.faa pepPredToFa mm9 ensGenePep mm9.ens.faa pepPredToFa rn4 ensGenePep rn4.ens.faa pepPredToFa danRer6 ensPep danRer6.ensPep.faa pepPredToFa dm3 flyBasePep dm3.flyBasePep.faa pepPredToFa ce6 sangerPep ce6.sangerPep.faa pepPredToFa sacCer2 sgdPep sacCer2.sgdPep.faa cat << _EOF_ > config.ra # Latest human vs. other Gene Sorter orgs: # mouse, rat, zebrafish, worm, yeast, fly targetGenesetPrefix ens targetDb hg19 queryDbs mm9 rn4 danRer6 dm3 ce6 sacCer2 hg19Fa /hive/data/genomes/hg19/bed/ucsc.12/ucscGenes.faa mm9Fa /hive/data/genomes/mm9/bed/ucsc.12/ucscGenes.faa rn4Fa /hive/data/genomes/rn4/bed/blastp/ens.faa danRer6Fa /hive/data/genomes/danRer6/bed/blastp/danRer6.ensPep.faa dm3Fa /hive/data/genomes/dm3/bed/flybase5.3/flyBasePep.fa ce6Fa /hive/data/genomes/ce6/bed/blastp/wormPep190.faa sacCer2Fa /hive/data/genomes/sacCer2/bed/hgNearBlastp/090218/sgdPep.faa buildDir /hive/data/genomes/hg19/bed/ucsc.12/hgNearBlastp/100806 scratchDir /hive/data/genomes/hg19/bed/ucsc.12/hgNearBlastp/100806/tmp _EOF_ doHgNearBlastp.pl -targetOnly config.ra >& do.log & tail -f do.log ######################################################################### # LIFTOVER TO Hg18 (RE-DONE - 2010-07-26 - Hiram ) # preserving the previous 10K liftOver files mkdir /hive/data/genomes/hg19/bed/liftOver10K cd /hive/data/genomes/hg19/bed/liftOver10K ln -s ../blat.hg18.2009-06-04/hg19ToHg18.over.chain.gz . # this liftOver is a 5000 size chunk mkdir /hive/data/genomes/hg19/bed/blat.hg18.2010-07-26 cd /hive/data/genomes/hg19/bed/blat.hg18.2010-07-26 # -debug run to create run dir, preview scripts... # verifies files can be found doSameSpeciesLiftOver.pl -debug hg19 hg18 # Real run: time nice -n +19 doSameSpeciesLiftOver.pl -verbose=2 \ -bigClusterHub=swarm -dbHost=hgwdev -workhorse=hgwdev \ hg19 hg18 > do.log 2>&1 # real 115m26.071s # checking liftOver accuracy mkdir /hive/data/genomes/hg19/bed/blat.hg18.2010-07-26/refGene cd /hive/data/genomes/hg19/bed/blat.hg18.2010-07-26/refGene hgsql -N -e "select * from refGene;" hg19 | cut -f2- > refGene.hg19.gp wc -l refGene.hg19.gp # 36766 # the 5K block size lift over chain liftOver -genePred refGene.hg19.gp ../hg19ToHg18.over.chain.gz \ refGene.hg19ToHg18.5K.lift.gp refGene.hg19ToHg18.5K.unMapped.gp wc -l refGene.hg19ToHg18.5K.unMapped.gp # 830 # the 10K block size lift over chain liftOver -genePred refGene.hg19.gp \ ../../liftOver10K/hg19ToHg18.over.chain.gz \ refGene.hg19ToHg18.10K.lift.gp refGene.hg19ToHg18.10K.unMapped.gp wc -l refGene.hg19ToHg18.10K.unMapped.gp # 820 # construct custom track of chain files. # the 5K block size lift over chain chainToPsl ../hg19ToHg18.over.chain.gz \ /hive/data/genomes/hg19/chrom.sizes \ /hive/data/genomes/hg18/chrom.sizes \ /hive/data/genomes/hg19/hg19.2bit \ /hive/data/genomes/hg18/hg18.2bit stdout \ | pslToBed stdin hg19ToHg18.5K.bed # the 10K block size lift over chain chainToPsl ../../liftOver10K/hg19ToHg18.over.chain.gz \ /hive/data/genomes/hg19/chrom.sizes \ /hive/data/genomes/hg18/chrom.sizes \ /hive/data/genomes/hg19/hg19.2bit \ /hive/data/genomes/hg18/hg18.2bit stdout \ | pslToBed stdin hg19ToHg18.10K.bed ############################################################################# # GENSCAN PREDICTIONS (DONE - 2010-07-30 Fan) # (PARTIALLY RE-DONE AFTER FIXING .LTF FILES - 2010-08-03 Fan) # After several attempts, the old genscan process could not be # successfully completed, nor the new process used by mm9, # even with the manual steps to do gsBig with # smaller windowSize. # # A new process is developed to overcome the challenges. # This new build process for hg19 genscan is substantially different from # hg18. Due to gsBig errors, the chroms are split into 2,000,000 bp # segments and the -windowSize is set to the default value of 1,200,000. # The results are then collected and lifted to original chrom # coordinates and then loaded into 3 genscan tables. ssh hgwdev mkdir -p /hive/data/genomes/hg19/bed/genscan cd /hive/data/genomes/hg19/bed/genscan # Check out hg3rdParty/genscanlinux to get latest genscan. cvs co hg3rdParty/genscanlinux # the latest and correct genscan build subdir is newTry mkdir -p /hive/data/genomes/hg19/bed/genscan/newTry cd /hive/data/genomes/hg19/bed/genscan/newTry # collect .fa files for all chroms in one subdir mkdir -p faOrig for f in `cat /hive/data/genomes/hg19/chr.fasta.list` do cp -p /hive/data/genomes/hg19/$f faOrig done # construct the chrom.list ls -1 faOrig |sed -e 's/\.fa//'>chrom.list # creaet the file template to be used for cluster runs cat << '_EOF_' > template #LOOP /cluster/bin/x86_64/gsBig {check in line+ $(path1)} {check out line gtf/$(root1).gtf} -trans={check out line pep/$(root1).pep} -subopt={check out line subopt/$(root1).bed} -exe=../../../hg3rdParty/genscanlinux/genscan -par=../../../hg3rdParty/genscanlinux/HumanIso.smat -tmp=/tmp -window=1200000 #ENDLOOP '_EOF_' # create the chunk2, lift, and runBlat subdir structures mkdir -p chunk2 mkdir -p lift mkdir -p runBlat for f in `cat chrom.list` do mkdir -p lift/$f mkdir -p chunk2/$f mkdir -p runBlat/$f/gtf mkdir -p runBlat/$f/pep mkdir -p runBlat/$f/subopt cp ./template runBlat/$f done # split the chrom fa files into chunks of 2,000,000 bases or less # and create corresponding lift files for f in `cat chrom.list` do cd chunk2/$f cat ../../faOrig/$f.fa\ |faSplit -lift=../../lift/$f/$f.lft gap stdin 2000000 ./ck_ cd ../.. done # LATER FOUND THAT THE SEQUENCE ID IN THE .fa FILES UNDER # /hive/data/genomes/hg19/* ARE NOT ALWAYS THE SAME AS THE CHROM ID. # THIS CAUSED INCORRECT CHROM IDs GENERATED IN THE .lft FILES. # PERFORM THE FOLLOWING TO FIX THE .lft FILES. mkdir fixLift cd fixLift cat << '_EOF_' > fixAll fix1 chr6_apd_hap1 apd.chr6.4622290.0.4622290.1 fix1 chr6_cox_hap2 cox.chr6.4795371.0.4795371.1 fix1 chr6_dbb_hap3 dbb.chr6.4610396.0.4610396.1 fix1 chr6_mann_hap4 mann fix1 chr6_mcf_hap5 mcf.chr6.4833398.0.4833398.1 fix1 chr6_qbl_hap6 qbl.chr6.4611984.0.4611984.1 fix1 chr6_ssto_hap7 ssto '_EOF_' cat << '_EOF_' > fix1 echo echo echo processing $1 $2 cat /hive/data/genomes/hg19/bed/genscan/newTry/lift/$1/$1.lft |grep $2 cat /hive/data/genomes/hg19/bed/genscan/newTry/lift/$1/$1.lft |sed -e "s/${2}/${1}/g" >new/$1.lft cat new/$1.lft |grep $1 cp new/$1.lft /hive/data/genomes/hg19/bed/genscan/newTry/lift/$1/$1.lft '_EOF_' chmod +x fix* fixAll cd .. # go to memk to run cluster jobs ssh memk cd /hive/data/genomes/hg19/bed/genscan/newTry # create genome.list and jobList files for each chrom for f in `cat chrom.list` do cd runBlat/$f ls -1 /hive/data/genomes/hg19/bed/genscan/newTry/chunk2/$f/* > genome.list gensub2 genome.list single template jobList cd ../.. done # create batch files for f in `cat chrom.list` do cd runBlat/$f para create jobList cd ../.. done # Send off cluster runs for f in `cat chrom.list` do cd runBlat/$f para try cd ../.. done for f in `cat chrom.list` do cd runBlat/$f para push cd ../.. done # When all the cluster runs are finished, # go back to hgwdev for final data collection and table loading ssh hgwdev cd /hive/data/genomes/hg19/bed/genscan/newTry # collect ptf results and lift them and then load into the genscan table mkdir -p gtf for f in `cat chrom.list` do echo echo processing $f cat runBlat/$f/gtf/*.gtf| liftUp -type=.gtf stdout \ lift/$f/$f.lft error stdin \ | sed -e "s/ck_/${f}_/g" > gtf/$f.gtf ldHgGene -oldTable hg19 -gtf genscan gtf/$f.gtf done # collect subopt results and lift them and then load them into the # genscanSubopt table mkdir -p subopt for f in `cat chrom.list` do echo echo processing $f cat runBlat/$f/subopt/*.bed| liftUp -type=.bed stdout \ lift/$f/$f.lft error stdin \ | sed -e "s/ck_/${f}_/g" > subopt/$f.bed hgLoadBed -oldTable hg19 genscanSubopt subopt/$f.bed done # collect pep results and load them into the genscanPep table mkdir -p pep rm pep/genscanPep.pep for f in `cat chrom.list` do echo echo processing $f cat runBlat/$f/pep/*.pep\ | sed -e "s/ck_/${f}_/g" >> pep/genscanPep.pep done hgPepPred hg19 generic genscanPep pep/genscanPep.pep ################################################################ # HUMAN FETAL BRAIN EXON ARRAYS (YALE) (DONE 2010-08-03 - Chin) # Note from Andy: All primary data files were lost, The table # has all of the original data. # The "kent/src/hg/makeDb/hgCgiData/Human/microarrayGroups.ra" file should # still be valid. The hgFixed table sestanBrainAtlasExps should be ok. # So it's just a matter of getting the hg18.sestanBrainAtlas table in # hg19 coordinates. mkdir /hive/data/genomes/hg19/bed/yaleMicroarrays cd /hive/data/genomes/hg19/bed/yaleMicroarrays cp /hive/data/genomes/hg18/bed/yaleMicroarrays/sestanBrainAtlas.bed \ sestanBrainAtlasHg18.bed # In the hg18, thickStart is off by 1, fix it # hgsql -e " select thickStart-chromStart from sestanBrainAtlas;" hg18 | # sort | uniq # 1 cat sestanBrainAtlasHg18.bed | awk '{print $1,$2,$3,$4,$5,$6,$7-1,$8,$9,$10,$11,$12,$13,$14,$15 }' > sestanBrainAtlasHg18Fixed.bed # use liftOver to convert the hg18 coordinates to hg19 directly. liftOver sestanBrainAtlasHg18Fixed.bed -bedPlus=8 \ /hive/data/genomes/hg18/bed/liftOver10K/hg18ToHg19.over.chain.gz \ sestanBrainAtlasHg19.bed unMapped # Check the result of liftOver: wc -l sestanBrainAtlasHg1*.bed # 877877 sestanBrainAtlasHg18.bed # 877469 sestanBrainAtlasHg19.bed cat unMapped | awk ' /^chr/ {print $1}' | wc -l 408 cat unMapped | awk ' /^#/|| /^chr/ {print $1, $2, $3,_}' \ > summaryUnMapped.txt # Fix up the result, so that $11(blockSizes) = $8(thickEnd) - $7 # (thickStart) without the fix, the checkTableCoors will complain. cat sestanBrainAtlasHg19.bed | awk '{print $1,$2,$3,$4,$5,$6,$7,$8,$9, \ $10, $8-$7, $12,$13,$14,$15 }' > sestanBrainAtlasHg19Fixed.bed # load the table hgLoadBed hg19 sestanBrainAtlas sestanBrainAtlasHg19Fixed.bed # Reading sestanBrainAtlasHg19.bed # Loaded 877469 elements of size 15 # Sorted # Creating table definition for sestanBrainAtlas # Saving bed.tab # Loading hg19 # track stuff done from hg18 days: # kent/src/hg/makeDb/trackDb/human/sestanBrainAtlas.html # kent/src/hg/makeDb/trackDb/human/trackDb.ra ############################################################################# # Updating to patch2 sequence (DONE - 2010-08-18 - Hiram) # Most of this business is encapsulated into .sh or .pl scripts in # these directories. They can be used next time with slight alterations. mkdir /hive/data/genomes/hg19/bed/additionalSequence/patches/patch_release_2 cd /hive/data/genomes/hg19/bed/additionalSequence/patches/patch_release_2 wget --cut-dirs=6 --no-parent --timestamping --no-remove-listing -m \ -nH --ftp-user=anonymous --ftp-password=yourEmail@your.domain \ "ftp://ftp.ncbi.nlm.nih.gov/genbank/genomes/Eukaryotes/vertebrates_mammals/Homo_sapiens/GRCh37.p2/" cd /hive/data/genomes/hg19/bed/additionalSequence/patches # construct a script that can gather the names from the delivered # files and generate UCSC names. May be useful next time. cat << '_EOF_' > gatherNames.pl #!/usr/bin/env perl use strict; use warnings; sub usage() { print STDERR "usage: ./gatherNames.pl patch_release_2\n"; } my $argc = scalar(@ARGV); if ($argc != 1) { usage; exit 255; } my $patchDir = shift; if ( ! -d $patchDir ) { print STDERR "ERROR: given directory $patchDir is not a directory or does not exist"; usage; exit 255; } my %ctgToChr; my %ctgToFastaName; my $fasta = "$patchDir/PATCHES/alt_scaffolds/FASTA/alt.scaf.fa.gz"; open (FH, "zcat $fasta | grep '^>' |") or die "ERROR: can not read $fasta"; while ( my $line = <FH> ) { chomp $line; my ($gi, $rest) = split('\s+',$line,2); my ($x, $acc, $y, $gl, $z) = split('\|', $gi); my $chr = $rest; $chr =~ s/Homo sapiens chromosome //; $chr =~ s/ genomic contig.*//; $ctgToChr{$gl} = $chr; $ctgToFastaName{$gl} = $gi; $ctgToFastaName{$gl} =~ s/\|$//; $ctgToFastaName{$gl} =~ s/^>//; # printf "%s\t%s\n", $gl, $chr; } close (FH); my $placement = "$patchDir/PATCHES/alt_scaffolds/alt_scaffold_placement.txt"; open (FH, "sort -t'\t' -k6,6n $placement|") or die "ERROR: can not read $placement"; while (my $line = <FH>) { chomp $line; next if ($line =~ m/^\s*#/); my ($altAsmName, $primAsmName, $altScafName, $altScafAcc, $parentType, $parentName, $parentAcc, $regionName, $ori, $altScafStart, $altScafStop, $parentStart, $parentStop, $altStartTail, $altStopTail) = split('\t',$line); my $chr = $ctgToChr{$altScafAcc}; die "ERROR: chrom name here does not match: $chr != $parentName" if ($chr ne $parentName); # printf "chr%s %s\t%s\t%s\t%s\t%s\n", $chr, $parentName, $altScafAcc, # $altScafName, $parentAcc, $regionName; my $ucscChrName = lc($altScafName); if ($ucscChrName =~ m/_patch$/) { $ucscChrName = sprintf("chr%d_%s", $parentName, lc($altScafAcc)); $ucscChrName =~ s/\.1$//; } else { $ucscChrName =~ s/^hs//; $ucscChrName =~ s/_1$//; my ($chrNum, $hapNum, $ctgName) = split('_', $ucscChrName, 3); $ucscChrName = sprintf("%s_%s_%s", $chrNum, $ctgName, lc($altScafAcc)); $ucscChrName =~ s/\.1$//; } printf "%s %s %s %s\n", $ctgToFastaName{$altScafAcc}, $altScafName, $parentAcc, $ucscChrName; } close (FH); '_EOF_' # << happy emacs chmod +x ./gatherNames.pl ./gatherNames.pl patch_release_2 > ucscNames.patch2.txt # with that name translation file in place, begin to put the sequences # together: mkdir /hive/data/genomes/hg19/bed/additionalSequence/patch2 cd /hive/data/genomes/hg19/bed/additionalSequence/patch2 cat << '_EOF_' > addSequence.pl #!/usr/bin/env perl use strict; use warnings; sub usage() { print STDERR "usage: ./addSequence.pl ../patches/ucscNames.patch2.txt \\\n"; print STDERR "\t../patches/patch_release_2/PATCHES/alt_scaffolds/FASTA/alt.scaf.fa.gz\n"; } my $argc = scalar(@ARGV); if ($argc != 2) { usage; exit 255; } my %skipSequence; $skipSequence{"chr9_gl339450"} = 1; $skipSequence{"chr5_ctg1_gl339449"} = 1; my $names = shift; my $fasta = shift; my %fastaToChrNames; open(FH, "<$names") or die "ERROR: can not read $names"; while (my $line = <FH>) { chomp $line; my ($fa, $ctg, $cm, $chr) = split('\s+', $line); $fastaToChrNames{$fa} = $chr; } close (FH); open(PA, ">patch2.ucsc.fa") or die "ERROR: can not write to patch2.ucsc.fa"; open(FH, "zcat $fasta|") or die "ERROR: can not zcat $fasta"; my $skipToNext = 0; while (my $line = <FH>) { if ($line =~ m/^>/) { my ($fa, $rest) = split('\s+', $line, 2); $fa =~ s/\|$//; $fa =~ s/^>//; die "can not find $fa" if (!exists($fastaToChrNames{$fa})); my $chr = $fastaToChrNames{$fa}; if (exists($skipSequence{$chr})) { $skipToNext = 1; } else { printf PA ">%s\n", $chr; $skipToNext = 0; } } else { next if($skipToNext); print PA $line; } } close (FH); close (PA); my $here=`pwd`; chomp $here; print `twoBitToFa ../patch1/hg19.patch1.2bit hg19.existing.fa`; print `faToTwoBit hg19.existing.fa patch2.ucsc.fa hg19.patch2.2bit`; print `rm -f /gbdb/hg19/hg19.patch2.2bit`; print `ln -s $here/hg19.patch2.2bit /gbdb/hg19`; print `twoBitInfo hg19.patch2.2bit stdout | sort -k2nr > patch2.chrom.sizes`; '_EOF_' # << happy emacs chmod +x addSequence.pl ./addSequence.pl ../patches/ucscNames.patch2.txt \ ../patches/patch_release_2/PATCHES/alt_scaffolds/FASTA/alt.scaf.fa.gz sort patch2.chrom.sizes ../patch1/patch1.chrom.sizes | uniq -c \ | sort -rn | awk '$1 == 1' | awk '{printf "%s\t%s\n", $2, $3}' \ | sort -k2,2nr > patches.chrom.sizes cat << '_EOF_' > mkTables.pl #!/usr/bin/env perl use strict; use warnings; sub usage() { printf STDERR "usage: ./mkTables.pl patches.chrom.sizes \\\n"; printf STDERR " ../patches/ucscNames.patch2.txt ../patches/patch_release_2/PATCHES/alt_scaffolds/AGP/alt.scaf.agp.gz\n"; } my $argc = scalar(@ARGV); if ($argc < 3) { usage; exit 255; } my %skipSequence; $skipSequence{"GL339449.1"} = 1; $skipSequence{"GL339450.1"} = 1; my $sizes = shift; # patches.chrom.sizes my $names = shift; # patches/ucscNames.txt my $agpFile = shift; # alt.scaf.agp.gz my %glToChr; my %chrToCtg; my %fastaToChr; my %chrToSize; open(FH, "<$sizes") or die "can not read $sizes"; while (my $line = <FH>) { chomp $line; my ($chr, $size) = split('\s+', $line); $chrToSize{$chr} = $size; } close (FH); open(CI, ">chromInfo.txt") or die "can not write to chromInfo.txt"; open(CT, ">ctgPos.txt") or die "can not write to ctgPos.txt"; open(FH, "<$names"); while (my $line = <FH>) { chomp $line; my ($faName, $ctg, $cmName, $chr) = split('\s+', $line); $faName =~ s/.*gb.GL/GL/; next if (exists($skipSequence{$faName})); my $size = $chrToSize{$chr}; if (exists($glToChr{$faName})) { if ($glToChr{$faName} ne $chr) { printf STDERR "ERROR: contig name: $faName was chr name: $glToChr{$faName}\n"; printf STDERR " now claiming to be chr name: $chr\n"; exit 255; } } else { $glToChr{$faName} = $chr; } die "not defined faName" if (!defined($faName)); die "not defined $faName $chr size" if (!defined($size)); printf CT "%s\t%d\t%s\t0\t%d\n", $faName, $size, $chr, $size; printf CI "%s\t%d\t/gbdb/hg19/hg19.patch2.2bit\n", $chr, $size; } close (FH); close (CT); close (CI); my $prevObj = ""; my $newIx = 1; open (GP,">gap.txt") or die "can not write to gap.txt"; open (GL,">gold.txt") or die "can not write to gold.txt"; open (FH,"zcat $agpFile|") or die "can not read $agpFile"; while (my $line = <FH>) { next if ($line =~ m/^\s*#/); chomp $line; my ($object, $objStart, $objEnd, $ix, $type, $frag, $fragStart, $fragEnd, $strand) = split('\s+', $line); next if (exists($skipSequence{$object})); die "ERROR: can not find contig $object to chr name" if (!exists($glToChr{$object})); $newIx = 1 if ($prevObj ne $object); my $chr = $glToChr{$object}; if ($type eq "N") { # frag is size, fragStart is type of gap, and fragEnd is bridged y/n printf GP "%s\t%d\t%d\t%d\t%s\t%d\t%s\t%s\n", $chr, $objStart-1, $objEnd, $newIx, $type, $frag, $fragStart, $fragEnd; } else { printf GL "%s\t%d\t%d\t%d\t%s\t%s\t%d\t%d\t%s\n", $chr, $objStart-1, $objEnd, $newIx, $type, $frag, $fragStart-1, $fragEnd, $strand; } ++$newIx; $prevObj = $object; printf "%s\n", $line; } close (FH); close (GL); close (GP); '_EOF_' # << happy emacs chmod +x mkTables.pl ./mkTables.pl patches.chrom.sizes \ ../patches/ucscNames.patch2.txt \ ../patches/patch_release_2/PATCHES/alt_scaffolds/AGP/alt.scaf.agp.gz hgLoadBed -noLoad -maxChromNameLength=14 \ -sqlTable=/cluster/home/hiram/kent/src/hg/lib/agpFrag.sql \ hg19 tGold gold.txt rm -f gold.tab mv bed.tab gold.tab hgLoadBed -noLoad -maxChromNameLength=14 \ -sqlTable=/cluster/home/hiram/kent/src/hg/lib/gap.sql \ hg19 tGap gap.txt rm -f gap.tab mv bed.tab gap.tab hgsql -e 'load data local infile "gap.tab" into table gap;' hg19 hgsql -e 'load data local infile "gold.tab" into table gold;' hg19 hgsql -e 'load data local infile "ctgPos.txt" into table ctgPos;' hg19 cat << '_EOF_' > mkCtgPos2.pl #!/usr/bin/env perl use strict; use warnings; sub usage() { print STDERR "usage: ./mkCtgPos2.pl ../patches/ucscNames.patch2.txt \\\n"; print STDERR "\tpatch2.chrom.sizes\n"; } my $argc = scalar(@ARGV); if ($argc != 2) { usage; exit 255; } my %skipSequence; $skipSequence{"chr9_gl339450"} = 1; $skipSequence{"chr5_ctg1_gl339449"} = 1; my $names = shift; my $sizes = shift; my %chrSize; open(FH, "<$sizes") or die "ERROR: can not read $sizes"; while (my $line = <FH>) { chomp $line; my ($chr, $size) = split('\s+', $line); $chrSize{$chr} = $size; } close (FH); open(FH, "<$names") or die "ERROR: can not read $names"; while (my $line = <FH>) { chomp $line; my ($fa, $ctg, $cm, $chr) = split('\s+', $line); next if (exists($skipSequence{$chr})); if (exists($chrSize{$chr})) { my $size = $chrSize{$chr}; printf "%s\t%d\t%s\t0\t%d\tF\n", $ctg, $size, $chr, $size; } } close (FH); '_EOF_' # << happy emacs chmod +x mkCtgPos2.pl ./mkCtgPos2.pl ../patches/ucscNames.patch2.txt patch2.chrom.sizes \ > ctgPos2.txt hgsql -e 'load data local infile "ctgPos2.txt" into table ctgPos2;' hg19 cat << '_EOF_' > mkHapLocate.pl #!/usr/bin/env perl use strict; use warnings; sub usage() { print STDERR "usage: ./mkHapLocate.pl ctgPos.txt \\\n"; print STDERR "\t../patches/patch_release_2/PATCHES/alt_scaffolds/alt_scaffold_placement.txt\n"; } my $argc = scalar(@ARGV); if ($argc != 2) { usage; exit 255; } my %skipSequence; $skipSequence{"chr9_gl339450"} = 1; $skipSequence{"chr5_ctg1_gl339449"} = 1; my $ctgPos = shift; my $placement = shift; my %ctgToHap; open(FH, "<$ctgPos") or die "ERROR: can not read $ctgPos"; while (my $line = <FH>) { my ($ctg, $size, $hapName, $rest) = split('\s+', $line, 4); $ctgToHap{$ctg} = $hapName; } close (FH); open(FH,"<$placement") or die "ERROR: can not read $placement"; while (my $line = <FH>) { next if ($line =~ m/^#/); chomp $line; my ($altAsmName, $primAsmName, $altScafName, $altScafAcc, $parentType, $parentName, $parentAcc, $regionName, $ori, $altScafStart, $altScafStop, $parentStart, $parentStop, $altStartTail, $altStopTail) = split('\t', $line); if (exists($ctgToHap{$altScafAcc})) { my $hapName = $ctgToHap{$altScafAcc}; printf "chr%s\t%d\t%d\t%s\n", $parentName, $parentStart-1, $parentStop, $hapName; } else { print STDERR "not found: $altScafAcc $altScafName\n"; } } close (FH); '_EOF_' # << happy emacs chmod +x mkHapLocate.pl ./mkHapLocate.pl ctgPos.txt \ ../patches/patch_release_2/PATCHES/alt_scaffolds/alt_scaffold_placement.txt \ > haplotypeLocations.bed hgLoadBed -oldTable hg19 haplotypeLocations haplotypeLocations.bed mkdir simpleRepeat cd simpleRepeat ln -s ../patch2.ucsc.fa /cluster/bin/$MACHTYPE/trfBig -trf=/cluster/bin/$MACHTYPE/trf \ patch2.ucsc.fa /dev/null -bedAt=patch2.ucsc.bed -tempDir=. awk '$5 <= 12' patch2.ucsc.bed > trfMask.bed splitFileByColumn trfMask.bed trfMaskChrom/ hgLoadBed -oldTable hg19 simpleRepeat patch2.ucsc.bed \ -sqlTable=$HOME/kent/src/hg/lib/simpleRepeat.sql mkdir ../RMRun cd ../RMRun ln -s ../patch2.ucsc.fa faSplit byname patch2.ucsc.fa ctgs/ cat << '_EOF_' > runOne #!/bin/csh -fe set ctg = $1 set runDir = /hive/data/genomes/hg19/bed/additionalSequence/patch2/RMRun set src = ${runDir}/ctgs/${ctg}.fa mkdir -p ${runDir}/out/${ctg} cd ${runDir}/out/${ctg} cp -p ${src} . /scratch/data/RepeatMasker/RepeatMasker -align -s -species 'Homo sapiens' ${ctg}.fa rm -f ${ctg}.fa '_EOF_' # << happy emacs chmod +x runOne ls ctgs > ctg.list cat << '_EOF_' > template #LOOP runOne $(root1) {check out line+ out/$(root1)/$(root1).fa.out} #ENDLOOP '_EOF_' # << happy emacs gensub2 ctg.list single template jobList ssh swarm cd /hive/data/genomes/hg19/bed/additionalSequence/patch2/RMRun para create jobList mkdir out para try para push # Completed: 68 of 68 jobs # CPU time in finished jobs: 88730s 1478.83m 24.65h 1.03d 0.003 y # IO & Wait Time: 6277s 104.62m 1.74h 0.07d 0.000 y # Average job time: 1397s 23.29m 0.39h 0.02d # Longest finished job: 4154s 69.23m 1.15h 0.05d # Submission to last job: 4291s 71.52m 1.19h 0.05d find ./out -type f -name "*.fa.out" | head -1 | xargs head -3 \ > hg19.patch2.out find ./out -type f -name "*.fa.out" | xargs -L 1 headRest 3 \ | sort -k5,5 -k6,6n | sed -e "s/ *$//" >> hg19.patch2.out extractNestedRepeats.pl hg19.patch2.out > hg19.nestedRepeats.patch2.bed hgLoadBed -noLoad -maxChromNameLength=14 \ -sqlTable=$HOME/kent/src/hg/lib/nestedRepeats.sql \ hg19 tNest hg19.nestedRepeats.patch2.bed rm -f hg19.nestedRepeats.patch2.tab mv bed.tab hg19.nestedRepeats.patch2.tab hgLoadOut -tabFile=hg19.patch2.rmsk.tab -nosplit hg19 hg19.patch2.out hgsql -e 'load data local infile "hg19.nestedRepeats.patch2.tab" into table nestedRepeats;' hg19 hgsql -e 'load data local infile "hg19.patch2.rmsk.tab" into table rmsk;' \ hg19 mv hg19.patch2.2bit hg19.patch2.0.2bit twoBitMask -add hg19.patch2.0.2bit RMRun/hg19.patch2.out hg19.patch2.1.2bit twoBitMask -add hg19.patch2.1.2bit \ simpleRepeat/trfMask.bed hg19.patch2.2bit twoBitToFa hg19.patch2.2bit stdout | faSize stdin \ > faSize.hg19.patch2.2bit.txt ############################################################################# # new blat server for the hg19.patch2 sequence (DONE - 2010-08-18 - Hiram) hgsql -e 'INSERT INTO blatServers (db, host, port, isTrans, canPcr) \ VALUES ("hg19", "blat4", "17792", "1", "0"); \ INSERT INTO blatServers (db, host, port, isTrans, canPcr) \ VALUES ("hg19", "blat4", "17793", "0", "1");' \ hgcentraltest ############################################################################# # establish some liftover chains from reference sequence to new added sequence # (WORKING - 2010-08-19 - Hiram) mkdir /hive/data/genomes/hg19/bed/additionalSequence/patch2/blat.2010-08-11 cd /hive/data/genomes/hg19/bed/additionalSequence/patch2/blat.2010-08-11 twoBitInfo ../hg19.patch2.2bit stdout | sort > patch2.chrom.sizes twoBitInfo ../../../../hg19.2bit stdout | sort > hg19.chrom.sizes comm -13 hg19.chrom.sizes patch2.chrom.sizes > new.sequence.chrom.sizes for S in `awk '{print $1}' new.sequence.chrom.sizes` do echo $S mkdir -p $S twoBitToFa ../hg19.patch2.2bit:${S} ${S}/${S}.fa done faToTwoBit chr*/chr*.fa hg19.patch2.only.2bit rm -fr chr*/chr*.fa rmdir chr* ssh swarm cd /hive/data/genomes/hg19/bed/additionalSequence/patch2/blat.2010-08-11 cat << '_EOF_' > runOne #!/bin/csh -ef set hg19 = "/hive/data/genomes/hg19/bed/additionalSequence/patch2/hg19.patch2.2bit" set runJob = `pwd`/job.csh set target = $1 set outPsl = $2 set query = `echo $target | sed -e "s/_.*//"` set qSize = `twoBitInfo ${hg19}:${query} stdout | awk '{print $2}'` set tSequence = "${hg19}:${target}" set qSequence = "${hg19}:${query}:0-${qSize}" mkdir -p psl/${target} pushd psl/${target} # echo "${runJob} ${tSequence} ${qSequence} `pwd`/${target}.psl" ${runJob} ${tSequence} ${qSequence} `pwd`/${target}.psl popd '_EOF_' # << happy emacs chmod +x runOne cat << '_EOF_' > job.csh #!/bin/csh -ef set targetList = $1 set queryListIn = $2 set outPsl = $3 if ($targetList:e == "lst") set targetList = /hive/data/genomes/hg19/bed/blat.hg18.2010-07-26/run.blat/$targetList if ($queryListIn:e == "lst") set queryListIn = /hive/data/genomes/hg19/bed/blat.hg18.2010-07-26/run.blat/$queryListIn # Use local disk for output, and move the final result to $outPsl # when done, to minimize I/O. set tmpDir = `mktemp -d -p /scratch/tmp doSame.blat.XXXXXX` pushd $tmpDir # We might get a .lst or a 2bit spec here -- convert to (list of) 2bit spec: if ($queryListIn:e == "lst") then set specList = `cat $queryListIn` else set specList = $queryListIn endif # Further partition the query spec(s) into 5k coord ranges, building up # a .lst of 2bit specs for blat and a .lft liftUp spec for the results: cp /dev/null reSplitQuery.lst cp /dev/null query.lft foreach spec ($specList) set file = `echo $spec | awk -F: '{print $1;}'` set seq = `echo $spec | awk -F: '{print $2;}'` set range = `echo $spec | awk -F: '{print $3;}'` set start = `echo $range | awk -F- '{print $1;}'` set end = `echo $range | awk -F- '{print $2;}'` if (! -e q.sizes) twoBitInfo $file q.sizes set seqSize = `awk '$1 == "'$seq'" {print $2;}' q.sizes` set chunkEnd = '0' while ($chunkEnd < $end) set chunkEnd = `expr $start + 5000` if ($chunkEnd > $end) set chunkEnd = $end set chunkSize = `expr $chunkEnd - $start` echo $file\:$seq\:$start-$chunkEnd >> reSplitQuery.lst if (($start == 0) && ($chunkEnd == $seqSize)) then echo "$start $seq $seqSize $seq $seqSize" >> query.lft else echo "$start $seq"":$start-$chunkEnd $chunkSize $seq $seqSize" >> query.lft endif set start = `expr $chunkEnd - 500` end end # Align unsplit target sequence(s) to .lst of 2bit specs for 5k chunks # of query: blat $targetList reSplitQuery.lst tmpUnlifted.psl \ -tileSize=11 -minScore=100 -minIdentity=98 -fastMap -noHead # Lift query coords back up: liftUp -pslQ -nohead tmpOut.psl query.lft warn tmpUnlifted.psl # Move final result into place: mv tmpOut.psl $outPsl popd rm -rf $tmpDir '_EOF_' # << happy emacs chmod +x job.csh cat << '_EOF_' > template #LOOP runOne $(root1) {check out line+ psl/$(root1)/$(root1).psl} #ENDLOOP '_EOF_' # << happy emacs mkdir psl awk '{print $2}' new.sequence.chrom.sizes > target.list gensub2 target.list single template jobList para create jobList para try ... check ... push para time # Completed: 71 of 71 jobs # CPU time in finished jobs: 29233s 487.22m 8.12h 0.34d 0.001 y # IO & Wait Time: 2567s 42.78m 0.71h 0.03d 0.000 y # Average job time: 448s 7.46m 0.12h 0.01d # Longest finished job: 3757s 62.62m 1.04h 0.04d # Submission to last job: 4070s 67.83m 1.13h 0.05d ssh hgwdev cd /hive/data/genomes/hg19/bed/additionalSequence/patch2/blat.2010-08-11 for C in `cat target.list` do echo ${C} mkdir chain/${C} cd chain/${C} ln -s ../../psl/${C}/${C}.psl axtChain -linearGap=medium -psl ${C}.psl ../../../hg19.patch2.2bit ../../../hg19.patch2.2bit ${C}.chain cd ../.. done cd chain find . -type f | xargs cat | chainSort stdin patch2.sort.chain hgLoadChain hg19 patch2Chain patch2.sort.chain # Loading 93897 chains into hg19.patch2Chain ######################################################################### # Vega gene update (DONE - 2010-08-25 - Hiram) # lookup version number at the Vega WEB site: # http://vega.sanger.ac.uk/index.html # and FTP site: # ftp://ftp.sanger.ac.uk/pub/vega/ cd /hive/data/genomes/hg19 # step wise to verify operation doEnsGeneUpdate.pl -vegaGene -ensVersion=39 -stop=download hg19.ensGene.ra # they changed their naming convention again. Look at the FTP site, # fix the download script: cd bed/vega.39/download ./doDownload.csh # -rw-rw-r-- 1 12399394 Aug 25 09:15 gtf_file.gz # -rw-rw-r-- 1 9329992 Aug 25 09:15 Homo_sapiens.VEGA.39.pep.all.fa.gz doEnsGeneUpdate.pl -vegaGene -ensVersion=39 \ -continue=process -stop=process hg19.ensGene.ra # genePredCheck -db=hg19 vegaPseudo.gp.gz # checked: 12012 failed: 0 # genePredCheck -db=hg19 not.vegaPseudo.gp.gz # checked: 103437 failed: 0 # genePredCheck -db=hg19 hg19.allGenes.gp.gz # checked: 115449 failed: 0 doEnsGeneUpdate.pl -vegaGene -ensVersion=39 \ -continue=load -stop=load hg19.ensGene.ra featureBits hg19 vegaGene # 78097231 bases of 2911519270 (2.682%) in intersection featureBits hg19 vegaPseudoGene # 8782198 bases of 2911519270 (0.302%) in intersection ######################################################################### # FOSMID END PAIRS (STARTED 9/1/10 angie, WORKING - 2011-07-07 - Hiram) # First I downloaded raw files from NCBI, to see if they are newer # than what we have in fosends.3: mkdir /hive/data/outside/fosends.4 cd /hive/data/outside/fosends.4 wget --timestamping ftp://ftp.ncbi.nih.gov/genomes/FOSMIDS/homo_sapiens/\* # The file dates are 2005, but all log files begin with 2002 dates. # Good, we can proceed with fosends.3 and won't have to reverse-engineer # Terry's lost pipeline for translating the files. # take a look at the names zcat Hs*.dr.mfa.gz | grep "^>" > sequence.names zcat *.trim.log.gz | cut -f6 | sort > clone.names # we are going to translate the .T0 .T1 .T2 suffix on the sequence names # to _T0 _T1 _T2 to avoid problems during blat and other parts of # the pipeline # using the *.trim.log.gz files, figure out the pairs, write to # files endPairs.txt and singles.txt cat << '_EOF_' > pairEnds.pl #!/bin/env perl use strict; use warnings; my %endIds; # key is cloneId.subId, value is endId_F,endId_R open(FH,"zcat Hs.*trim.log.gz|") or die "can not read Hs.*trim.log.gz"; while (my $line = <FH>) { next if ($line =~ m/^#/); my ($id, $l0, $l1, $endId, $wibr, $cloneId, $fr, $cId, $l2) = split('\s+', $line); my ($oneEnd, $subId) = split('\.', $endId); my $key = "$cloneId.$subId"; if (exists($endIds{$key})) { die "ERROR: third end: $endId $cloneId $endIds{$key}" if ($endIds{$key} =~ m/,/); if ($fr eq "F") { $endIds{$key} = "$endId,$endIds{$key}"; } else { $endIds{$key} = "$endIds{$key},$endId"; } } else { $endIds{$key} = $endId; } } close (FH); open (EP, ">endPairs.txt") or die "can not write to endPairs.txt"; open (SI, ">singles.txt") or die "can not write to singles.txt"; foreach my $key (sort (keys %endIds)) { my ($cloneId, $subId) = split('\.', $key); if ($endIds{$key} =~ m/,/) { my ($fwd, $rev) = split(',', $endIds{$key}); $fwd =~ s/\./_/; $rev =~ s/\./_/; printf EP "%s\t%s\t%s\n", $fwd, $rev, $cloneId; } else { my $fwd = $endIds{$key}; $fwd =~ s/\./_/; printf SI "%s\t%s\n", $fwd, $cloneId; } } close(EP); close(SI); '_EOF_' # << happy emacs chmod +x pairEnds.pl ./pairEnds.pl # working in the hg19 build directory mkdir /hive/data/genomes/hg19/bed/fosEndPairs cd /hive/data/genomes/hg19/bed/fosEndPairs mkdir /hive/data/genomes/hg19/bed/fosEndPairs/mapEnds cd /hive/data/genomes/hg19/bed/fosEndPairs/mapEnds # fixup the names, and upper case all sequence (the names are already uc) zcat /hive/data/outside/fosends.4/*.dr.mfa.gz \ | sed -e "s/^>gnl.* />/; s/\.T/_T/" | tr '[a-z]' '[A-Z]' > fosends.4.fa faCount fosends.4.fa > fosends.4.faCount tail -1 fosends.4.faCount # total 1258791003 329912804 274295722 339230145 279976011 35376321 40508700 # verify nothing broken, nothing lost with the name transition faCount /hive/data/outside/fosends.4/*.mfa.gz > /tmp/fs4.faCount tail -1 /tmp/fs4.faCount # total 1258791003 329912804 274295722 339230145 279976011 35376321 40508700 faSize fosends.4.fa # 1258791003 bases (35376321 N's 1223414682 real 1223414682 upper 0 lower) in 1615492 sequences in 1 files # Total size: mean 779.2 sd 190.8 min 12 (G248P84602FB12_T0) max 3784 (G248P89620RG7_T0) median 722 mkdir splitEnds faSplit sequence fosEnds.4.fa 400 splitEnds/fosEnds # figure out break points in hg19 around large gaps hgsql -N -e "select chrom,chromStart,chromEnd,size from gap;" hg19 \ | sort -k4nr > hg19.gap.bed # script to combine adjacent gaps into single gaps cat << '_EOF_' > bedCollapse.pl #!/bin/env perl use strict; use warnings; my $argc = scalar(@ARGV); if ($argc < 1) { printf STDERR "usage: ./bedCollapse.pl <file.bed>\n"; printf STDERR "will combine adjacent bed elements into one element\n"; exit 255 } my $file = shift; my $chr = ""; my $prevEnd = 0; my $start = 0; my $end = 0; my $size = 0; open (FH, "sort -k1,1 -k2,2n $file|") or die "can not read $file"; while (my $line = <FH>) { chomp $line; my ($c, $s, $e, $rest) = split('\s+', $line, 4); $size = $end - $start; if (length($chr) > 1) { if ($chr ne $c) { printf "%s\t%d\t%d\t%d\n", $chr, $start, $end, $size; $chr = $c; $start = $s; $end = $e; } else { if ($s == $end) { $end = $e; } else { printf "%s\t%d\t%d\t%d\n", $chr, $start, $end, $size; $chr = $c; $start = $s; $end = $e; } } } else { $chr = $c; $start = $s; $end = $e; } } printf "%s\t%d\t%d\t%d\n", $chr, $start, $end, $size; close (FH); '_EOF_' # << happy emacs chmod +x bedCollapse.pl # filter out for gaps of 50,000 and larger ./bedCollapse.pl hg19.gap.bed | awk '$4 > 49999' > hg19.gapBreaks.bed cat << '_EOF_' > hg19SplitSpec.pl #!/bin/env perl use strict; use warnings; my %chromSizes; open (FH, "<../../../chrom.sizes") or die "can not read ../../../chrom.sizes"; while (my $line = <FH>) { chomp $line; my ($chr, $size) = split('\s+', $line); $chromSizes{$chr} = $size; } close (FH); my %chrDone; # to measure which chroms have been done my $curChr = ""; my $start = 0; my $end = 0; open (FH, "grep -v '_' hg19.gapBreaks.bed|") or die "can not grep hg19.gapBreaks.bed"; while (my $line = <FH>) { chomp $line; my ($c, $s, $e, $rest) = split('\s+', $line, 4); if (length($curChr) > 0) { if ($c eq $curChr) { $end = $s; my $size = $end - $start; die "ERROR: size is zero ? $c $s $e" if ($size < 1); printf "%s\t%d\t%d\t%d\n", $curChr, $start, $end, $size; $chrDone{$curChr} = 1; } else { # finish off previous chrom my $chrSize = $chromSizes{$curChr}; if ($start < $chrSize) { my $size = $chrSize - $start; printf "%s\t%d\t%d\t%d\n", $curChr, $start, $chrSize, $size; $chrDone{$curChr} = 1; } $curChr = $c; } } else { # first line in the file $curChr = $c; if ($s > 0) { printf "%s\t0\t%d\t%d\n", $curChr, $s, $s; $chrDone{$curChr} = 1; } } $start = $e; # next start is this end $end = $start; # next end will be next start or chrSize } close(FH); '_EOF_' # << happy emacs chmod +x hg19SplitSpec.pl ./hg19SplitSpec.pl > hg19.splits.bed cd /hive/data/genomes/hg19/bed/fosEndPairs/mapEnds # 4M chunks might work a bit better ./partitionBed.pl 4000000 10000 hg19.splits.bed > hg19.4M.10K.bed mkdir /hive/data/genomes/hg19/bed/fosEndPairs/mapEnds/run4M cd /hive/data/genomes/hg19/bed/fosEndPairs/mapEnds/run4M awk '{printf "%s:%d-%d\n", $1,$2,$3}' ../hg19.4M.10K.bed > hg19.list ls ../../splitEnds | sed -e "s/.fa//" > fosEnds.list # XXX this didn't work with -fastMap, too much of the query was knocked # out and the results wouldn't pass the pslReps filter # Need to run blat without any arguments, filter the results # with pslReps cat << '_EOF_' > runOne #!/bin/csh -fe set t=$1 set q=$2 set c=`echo $t | sed -e 's/:.*//'` set ctgStart=`echo $t | sed -e 's/.*://; s/-.*//'` set ctgSize=`echo $t | sed -e 's/:/ /; s/-/ /;' | awk '{printf "%d", $3-$2}'` set chrSize=`egrep "^$c " /scratch/data/hg19/chrom.sizes | cut -f2` set result="psl/${t}/${q}.psl" /bin/mkdir -p "psl/${t}" set tmpLift="/scratch/tmp/${t}.${q}.lift" set tResult="/scratch/tmp/${t}.${q}.psl" echo $ctgStart $t $ctgSize $c $chrSize > ${tmpLift} blat /scratch/data/hg19/hg19.2bit:${t} ../../splitEnds/${q}.fa stdout \ | liftUp -type=.psl ${tResult} ${tmpLift} error stdin pslReps -nearTop=0.01 -minCover=0.70 -minAli=0.85 -noIntrons ${tResult} \ ${result} /dev/null /bin/rm -f ${tmpLift} ${tResult} '_EOF_' # << happy emacs chmod +x runOne ssh swarm cd /hive/data/genomes/hg19/bed/fosEndPairs/mapEnds/run4M gensub2 hg19.list fosEnds.list template jobList # 340,470 jobs para create jobList para try para check ... push ... etc # Completed: 340470 of 340470 jobs # CPU time in finished jobs: 306516290s 5108604.83m 85143.41h 3547.64d 9.720 y # IO & Wait Time: 22550855s 375847.59m 6264.13h 261.01d 0.715 y # Average job time: 967s 16.11m 0.27h 0.01d # Longest finished job: 18257s 304.28m 5.07h 0.21d # Submission to last job: 572370s 9539.50m 158.99h 6.62d cd /hive/data/genomes/hg19/bed/fosEndPairs/mapEnds/run4M time pslSort dirs raw.psl /scratch/tmp psl/ch* > sort.log 2>&1 & # 340470 files in 873 dirs # Got 340470 files 583 files per mid file # real 291m28.005s # -rw-rw-r-- 1 11527396213 Jul 13 14:53 raw.psl # and now that all those individual results are together, filter all # of them cd /hive/data/genomes/hg19/bed/fosEndPairs/mapEnds time pslReps -nearTop=0.01 -minCover=0.70 -minAli=0.85 -noIntrons \ run4M/raw.psl hg19.fosEnds.psl /dev/null # Processed 64042919 alignments # real 11m9.402s # -rw-rw-r-- 1 299504257 Jul 13 15:18 hg19.fosEnds.psl # FYI: to see all minimum covers: grep "^[0-9]" raw.psl \ | awk '{printf "%.2f\n", 100*($1+$3)/$11}' | ave stdin # Q1 7.320000 # median 8.040000 # Q3 11.690000 # average 13.519178 # min 0.980000 # max 100.000000 # count 627281022 # total 8480323865.619440 # standard deviation 13.540966 cd /hive/data/genomes/hg19/bed/fosEndPairs time /cluster/home/hiram/bin/x86_64/pslPairs \ -tInsert=5000 -minId=0.94 -noBin -min=30000 -max=50000 -slop -short \ -long -orphan -mismatch -verbose mapEnds/hg19.fosEnds.psl \ /hive/data/outside/fosends.4/endPairs.txt all_fosends hg19.fosEnds # real 0m10.042s # filter for score over 300 awk '$5 >= 300' hg19.fosEnds.pairs | sort -k1,1 -k2,2n \ > hg19.fosEndPairs.bed wc -l hg19.fosEnds.pairs hg19.fosEndPairs.bed # 230791 hg19.fosEnds.pairs # 230583 hg19.fosEndPairs.bed awk '$5 >= 300' hg19.fosEnds.slop hg19.fosEnds.short hg19.fosEnds.long \ hg19.fosEnds.mismatch hg19.fosEnds.orphan | sort -k1,1 -k2,2n \ > hg19.fosEndPairsBad.bed # for all names in the hg19.fosEndPairs.bed and hg19.fosEndPairsBad.bed # files, extract those names from the mapEnds/hg19.fosEnds.psl file # to construct a psl file to load up to represent all ends awk '{print $11}' hg19.fosEndPairs.bed hg19.fosEndPairsBad.bed \ | tr '[,]' '[\n]' | sort -u > hg19.allEnds.names # the '\t' here actually needs to be the literal: Ctrl-v i # to get a "real" tab there as the character headRest 5 mapEnds/hg19.fosEnds.psl | sort -k10 \ | join -t '\t' -1 10 -2 1 \ -o 1.1,1.2,1.3,1.4,1.5,1.6,1.7,1.8,1.9,1.10,1.11,1.12,1.13,1.14,1.15,1.16,1.17,1.18,1.19,1.20,1.21 - hg19.allEnds.names | sort -k 14,14 -k 15,15n \ > hg19.fosEnds.load.psl sed -e "s/fosEndPairs/hg19FosEndPairs/" \ $HOME/kent/src/hg/lib/fosEndPairs.sql > hg19FosEndPairs.sql sed -e "s/all_fosends/hg19AllFosEnds/" hg19.fosEndPairs.bed \ | sort -u | hgLoadBed -notItemRgb hg19 hg19FosEndPairs stdin \ -sqlTable=hg19FosEndPairs.sql # Loaded 229708 elements # why so few compared to before: hgsql -e "select count(*) from fosEndPairs" hg19 # 384442 wc -l /hive/data/genomes/hg17/bed/fosends/fosEndPairs.bed # 384558 /hive/data/genomes/hg17/bed/fosends/fosEndPairs.bed # looking at one of those pairs that did not map: # G248P800001RA7 G248P800001FA7 # compared to /hive/data/outside/fosends.2/fosEnds.fa # and /hive/data/outside/fosends.3/fosEnds.fa # the end sequences in those old files is shorter than the new ones # those shorter sequences more easily pass the minCover filter # note - this track isn't pushed to RR, just used for assembly QA sed -e "s/fosEndPairsBad/hg19FosEndPairsBad/" \ ~/kent/src/hg/lib/fosEndPairsBad.sql > hg19FosEndPairsBad.sql sed -e "s/all_fosends/hg19AllFosEnds/" hg19.fosEndPairsBad.bed \ | sort -u | hgLoadBed -notItemRgb hg19 hg19FosEndPairsBad \ hg19.fosEndPairsBad.bed stdin -sqlTable=hg19FosEndPairsBad.sql # Loaded 198665 elements of size 11 # why do we have so many more ? wc -l /hive/data/genomes/hg17/bed/fosends/fosEndPairsBad.bed # 30830 /hive/data/genomes/hg17/bed/fosends/fosEndPairsBad.bed time hgLoadPsl hg19 -table=hg19AllFosEnds hg19.fosEnds.load.psl # load of hg19AllFosEnds did not go as planned: 1160639 record(s), # 0 row(s) skipped, 229 warning(s) loading psl.tab # real 0m35.096s # with some warnings such as: # Warning 1264 Out of range value adjusted for column 'qBaseInsert' at row 3053 # Warning 1264 Out of range value adjusted for column 'qBaseInsert' at row 10569 # Warning 1264 Out of range value adjusted for column 'qBaseInsert' at row 13642 # ... # the sequences are already loaded from the hg18 lift: grep "^>" /gbdb/hg19/fosends/fosEnds.fromHg18.fa | sed -e 's/>//' \ | sort > hg18.fosEnds.names # but they are not the same names: grep "^>" mapEnds/fosends.4.fa | sed -e 's/>//' \ | sort > hg19.fosEnds.names sed -e 's/_T.//' hg19.fosEnds.names | sort -u > hg19.unique.fosEnd.names wc -l hg18.fosEnds.names hg19.unique.fosEnd.names # 1087670 hg18.fosEnds.names # 1567737 hg19.unique.fosEnd.names comm -12 hg18.fosEnds.names hg19.unique.fosEnd.names | wc -l # 1087670 grep "^>" /hive/data/outside/fosends.3/fosEnds.fa \ | sed -e 's/>//' | sort > fosends.3.names zcat /hive/data/outside/fosends.4/Hs*.dr.mfa.gz | grep "^>" \ | awk '{print $2}' | sort > fosends.4.names zcat /hive/data/outside/fosends.4/Hs.WGS*.dr.mfa.gz \ | sed -e "s/^>gnl.* />/; s/\.T/_T/" > fosEnds.4.fa mkdir /gbdb/hg19/fosends ln -s /hive/data/genomes/hg19/bed/fosEndPairs/mapEnds/fosends.4.fa \ ln -s /hive/data/genomes/hg19/bed/fosEndPairs/fosEnds.4.fa \ /gbdb/hg19/fosends/hg19FosEndPairs.fa time hgLoadSeq hg19 /gbdb/hg19/fosends/hg19FosEndPairs.fa # 1615492 sequences # real 1m26.084s ############################################################################## # hg18 <-> hg19 difference tracks (DONE - 2010-09-03 - Hiram) # this is documented in hg18.txt, same heading as above mkdir /hive/data/genomes/hg18/bed/liftOverHg19 cd /hive/data/genomes/hg18/bed/liftOverHg19 ############################################################################# # HGDP GEOGRAPHIC SNP MAPS (DONE 9/15/10 angie) # Project data downloaded and parsed in /hive/data/outside/hgdpGeo, # see makeDb/doc/hgdpGeo.txt. mkdir /hive/data/genomes/hg19/bed/hgdpGeo cd /hive/data/genomes/hg19/bed/hgdpGeo # Make an rsId-sorted snp coords file for joining with the hgdpGeo data. grep -Fwf /hive/data/outside/hgdpGeo/rsIDs.lst \ ../snp131/snp131.bed \ | awk 'BEGIN{OFS="\t";} {print $4, $1, $2, $3, $8;}' \ | sort > snp131CoordsAndRef.txt # How many distinct SNPs in there? (compare to 657000 from HGDP): cut -f 1 snp131CoordsAndRef.txt | uniq | wc -l #656332 # Join files to make a track table -- well, first we'll need to # normalize alleles to the + strand: join -e ERROR -t' ' -o 1.2,1.3,1.4,1.1,2.2,2.3,2.4,1.5 \ snp131CoordsAndRef.txt /hive/data/outside/hgdpGeo/hgdpGeoCoordless.txt \ | sed -re 's/([AGTC])\*/\1/' \ | sort -k1,1 -k2n,2n \ > hgdpGeo.fixme wc -l hgdpGeo.fixme #667392 hgdpGeo.fixme # Use the snp131 reference allele to detect when we need to rev-comp # the alleles to match the + strand. Also, throw out SNPs for which # the ref allele is multi-base -- it's questionable whether we're giving # the right coords (some funny things happen with dbSNP's clustering...): cat > fixAlleles.pl <<'_EOF_' #!/usr/bin/env perl use warnings; use strict; my %rc = ('A' => 'T', 'C' => 'G', 'G' => 'C', 'T' => 'A'); while (<>) { chomp; my ($c, $s, $e, $rs, $ancAl, $derAl, $freqs, $ref) = split; next unless ($ref =~ /^[ACGT]$/); if ($ancAl ne $ref && $derAl ne $ref) { $ancAl = $rc{$ancAl}; $derAl = $rc{$derAl}; } print join("\t", $c, $s, $e, $rs, $ancAl, $derAl, $freqs) . "\n"; } '_EOF_' # << emacs chmod a+x fixAlleles.pl ./fixAlleles.pl hgdpGeo.fixme > hgdpGeo.tab wc -l hgdpGeo.tab #667349 hgdpGeo.tab hgLoadBed hg19 hgdpGeo hgdpGeo.tab \ -sqlTable=$HOME/kent/src/hg/lib/hgdpGeo.sql #Loaded 667349 elements of size 7 ########################################################################### # RECOMBINATION RATES (DONE 2010-08-26 - Chin) # The STS MArkers track must be completed prior to creating this track ssh kkstore02 cd /hive/data/genomes/hg19/bed mkdir -p recombRate cd recombRate # Copy other necessary files here (in future, can take from previous # version) # NOTE: these are stable, and could be saved in a permanent spot cp -p /projects/hg2/booch/psl/info/decode_all . cp -p /projects/hg2/booch/psl/info/marshfield_all . cp -p /projects/hg2/booch/psl/info/genethon_all . # Compared these 3 files with the 3 files of hg17, they are identical. # Determine maximum concordant set of markers for each of the maps /cluster/bin/scripts/assignGPsts -full -maxcon \ /hive/data/outside/ncbi/sts.11/stsAlias.bed \ /hive/data/genomes/hg19/bed/sts/stsMarkers_pos.rdb \ decode_all > decode.marker.rdb /cluster/bin/scripts/assignGPsts -full -maxcon \ /hive/data/outside/ncbi/sts.11/stsAlias.bed \ /hive/data/genomes/hg19/bed/sts/stsMarkers_pos.rdb \ marshfield_all > marshfield.marker.rdb /cluster/bin/scripts/assignGPsts -full -maxcon \ /hive/data/outside/ncbi/sts.11/stsAlias.bed \ /hive/data/genomes/hg19/bed/sts/stsMarkers_pos.rdb \ genethon_all > genethon.marker.rdb # Determine the rates for each of the maps /cluster/bin/scripts/markers_to_recomb_rate.terry.pl decode.marker.rdb \ hive/data/genomes/hg19/chrom.sizes 1000000 1000000 \ > decode_1mb_slide_1mb /cluster/bin/scripts/markers_to_recomb_rate.terry.pl genethon.marker.rdb \ /hive/data/genomes/hg19/chrom.sizes 1000000 1000000 \ > genethon_1mb_slide_1mb # got many "... out of genetic distance order. DISCARDING" messages. /cluster/bin/scripts/markers_to_recomb_rate.terry.pl marshfield.marker.rdb \ /hive/data/genomes/hg19/chrom.sizes 1000000 1000000 \ > marshfield_1mb_slide_1mb # Got many "... out of genetic distance order. DISCARDING" messages. # Convert files to proper format # which requires the "inserts" file # get the size of true chrom: cd /hive/data/genomes/hg19/bed/recombRate cat /hive/data/genomes/hg19/chrom.sizes | awk '$1 !~/_/ && !/^chrM/ \ {print $1, $2}' > chr.sizes # order contigs on each chrom: mkdir /hive/data/genomes/hg19/bed/recombRate/orderedCtg cat << '_EOF_' > orderCtg.pl #!/usr/bin/perl # create ordered contig lists for each chrom my $db = hg19; my $ordDir = "/hive/data/genomes/hg19/bed/recombRate/orderedCtg"; @chroms = (1..22, X, Y); foreach $chr (@chroms) { my $chrName = "chr$chr"; my $chrFile = "chr$chr.ol"; my $ordFile = "$ordDir/$chrFile"; my $sqlstmt="hgsql $db -s -e \'SELECT c.chromStart, c.contig, c.size, c.chrom, i.size FROM ctgPos c, chromInfo i where c.chrom = \"$chrName\" AND c.chrom=i.chrom order by chromStart ASC\' "; system(" $sqlstmt > $ordFile"); } '_EOF_' # << happy emacs chmod +x orderCtg.pl ./orderCtg.pl # create the inserts file cat << '_EOF_' > createInserts.pl #!/usr/local/bin/perl # FILE: createInserts # Author: Terry Furey # Date: 7/13/2004 # Modified by Chin 2010-10-14 # Description: Create inserts file used in creation of some tracks. # This used to be created when lift files being created $dir = "/hive/data/genomes/hg19"; @chroms = (1..22, X, Y); print "#Chrom\tBefore_Contig\tAfter_Contig\tNum_bases\tType\n"; $i = 0; # Look at certain gaps in chroms foreach $chr (@chroms) { open(AGP, "$dir/$chr/chr$chr.agp"); while ($line = <AGP>) { chomp($line); @fields = split("\t", $line); $lastctg = ""; $laststart = 1; # Want centromeres, large heterochromatin, short_arms, and large gaps if (($fields[6] eq "centromere") || (($fields[6] eq "heterochromatin") && ($fields[2] - $fields[1] > 1000000)) || ($fields[6] eq "short_arm") || (($fields[2] - $fields[1]) > 1000000)) { # Record info about gap $chr[$i] = $fields[0]; $start[$i] = $fields[1]; $end[$i] = $fields[2]; $size[$i] = $end[$i] - $start[$i] + 1; $type[$i] = $fields[6]; # Find contigs surrounding gap open(ORDCTG, "$dir/bed/recombRate/orderedCtg/chr$chr.ol") || die("Could not open $dir/bed/recombRate/orderedCtg/chr$chr.ol\n") ; # short_arm gaps have no previous contig if ($type[$i] eq "short_arm") { $ctg1[$i] = "-"; $start[$i] = 1; # Nest record has next contig $line1 = <ORDCTG>; @fields1 = split("\t",$line1); $ctg2[$i] = $fields1[1]; # Reset end and recalculate size $end[$i] = $fields1[0]; $size[$i] = $end[$i] - $start[$i] + 1; # non-short_arm gaps } else { # Find gap immediately before gap while ($line1 = <ORDCTG>) { chomp($line1); @fields1 = split("\t", $line1); # This contig ends where gap begins if (($fields1[0] + $fields1[2] + 1) == $start[$i]) { $ctg1[$i] = $fields1[1]; # Succeeding contig is in next record if ($line1 = <ORDCTG>) { @fields1 = split("\t", $line1); $ctg2[$i] = $fields1[1]; # Reset end coordinate and re-calculate size $end[$i] = $fields1[0]; $size[$i] = $end[$i] - $start[$i] + 1; } else { $ctg2[$i] = "-"; } # Keep track of possible previous contigs and starts } elsif (($fields1[0] + $fields1[2] + 1) < $start[$i]) { $lastctg = $fields1[1]; $laststart = $fields1[0] + $fields1[2] + 1; # Another gap separated this gap from previous contig, # so didn't find match and passed it up } elsif (($ctg1[$i] eq "") && ($laststart > 1)) { # Set start coordinate to end of last contig $ctg1[$i] = $lastctg; $start[$i] = $laststart; # Reset end coordinate and re-calculate size @fields1 = split("\t", $line1); $ctg2[$i] = $fields1[1]; $end[$i] = $fields1[0]; $size[$i] = $end[$i] - $start[$i] + 1; } } } close(ORDCTG); $i++; } } close(AGP); } $num = $i; # Print them out for ($i = 0; $i < $num; $i++) { # Don't print out duplicate lines for same gap (i.e. centromere and heterochromatin # in same gap if (($chr[$i] ne $chr[$i-1]) || (($ctg1[$i] ne $ctg1[$i-1]) && ($start[$i] > $end[$i-1]))) { # Large gaps must be heterochromatin if ($size[$i] > 3100000) { $type[$i] = "heterochromatin"; } # gaps at beginning must be short_arm if ($start[$i] <= 1) { $type[$i] = "short_arm"; } # Only want large heterochromatic regions, not telomeres if (($type[$i] ne "heterochromatin") || ($size[$i] > 1000000)) { print "$chr[$i]\t$ctg1[$i]\t$ctg2[$i]\t$size[$i]\t$type[$i]\n"; } } } '_EOF_' # << happy emacs chmod +x createInserts.pl ./createInserts.pl > inserts # Convert files to proper format cat << '_EOF_' > convRecombRate.pl #!/usr/local/bin/perl # File: convRecombRate # Author: Terry Furey # Date: 9/2002 # Modified by Chin 2010-10-14 # Project: Human # Description: Changes recomb rates in large gaps to nan # Usage message if ($#ARGV != 3) { print stderr "USAGE: createSetBands <recomb file> <insert file> <ctg dir> <window (kb)>\n"; exit(1); } # Read parameters $rrfile = shift(@ARGV); $insfile = shift(@ARGV); $ctgdir = shift(@ARGV); $basewind = shift(@ARGV); $window = $basewind * 1000; # Determine the golden path positions for each of the inserts open(INSERT, "<$insfile") || die("Could not open $insfile\n"); $line = <INSERT>; #header while ($line = <INSERT>) { next if (substr($line, 0, 1) eq "#"); chomp($line); ($chr, $first, $second, $length, $type) = split(' ',$line); $thischr = substr($chr,3); open(ORDCTG, "<$ctgdir/orderedCtg/chr$thischr.ol") || die("Could not open $ctgdir/orderedCtg/chr$thischr.ol\n"); # Determine first window for the insert if ($first eq "-") { $begin = 0; $end = int(($length)/$window)*$window; } else { $found = 0; print stderr "Finding $chr $first\n"; while(!$found) { $line = <ORDCTG>; chomp($line); ($ctgstart, $ctg, $ctglen, $ctgchr, $chrlen) = split(' ',$line); if ($ctg eq $first) { $begin = int(($ctgstart + $ctglen)/$window)*$window; $end = int(($ctgstart + $ctglen + $length)/$window)*$window + $window; $found = 1; } } } close(ORDCTG); print stderr "$chr $begin - $end $type\n"; for ($i = $begin; $i < $end; $i=$i+$window) { $gap{$chr}{$i} = 1; } } close(INSERT); # Now, match up with PCT open(RR, "<$rrfile") || die("Could not open $rrfile\n"); while ($line = <RR>) { chomp($line); ($chr, $start, $end, $ave, $female, $male) = split("\t", $line); if ($gap{$chr}{$start}) { print "$chr\t$start\t$end\tNaN\tNaN\tNaN\n"; } else { print "$line\n"; } } close(RR); '_EOF_' # << happy emacs chmod +x convRecombRate.pl ./convRecombRate.pl decode_1mb_slide_1mb inserts \ . 1000 > decode_1mb_slide_1mb_conv ./convRecombRate.pl marshfield_1mb_slide_1mb inserts \ . 1000 > marshfield_1mb_slide_1mb_conv ./convRecombRate.pl genethon_1mb_slide_1mb inserts \ . 1000 > genethon_1mb_slide_1mb_conv # Create bed file and load /cluster/bin/scripts/createRRbed decode_1mb_slide_1mb_conv \ marshfield_1mb_slide_1mb_conv genethon_1mb_slide_1mb_conv \ > recombRate.bed ssh hgwdev # reuse the recombRate.sql and recombRate.as from before hgLoadBed -noBin -tab \ -sqlTable=$HOME/kent/src/hg/lib/recombRate.sql \ hg19 recombRate recombRate.bed ############################################################################ # GENE BOUNDS (RNACLUSTER) (DONE 2010-10-20 - Chin) # Create rnaCluster table (depends on {est,mrna}OrientInfo) cd /hive/data/genomes/hg19/bed mkdir rnaCluster cd rnaCluster/ mkdir chrom # Create a list of accessions that come from RAGE libraries and need to # be excluded. ~/kent/src/hg/geneBounds/clusterRna/generateRageAccList.csh hg19 rage.libs cat << '_EOF_' > runClusterRna #!/bin/csh -fe foreach f (/hive/data/genomes/hg19/nib/chr*.nib) set c = $f:t:r set out = chrom/$c.bed # Exclude accesions in the RAGE file echo clusterRna -mrnaExclude=hg19.rage.libs hg19 /dev/null $out -chrom=$c clusterRna -mrnaExclude=hg19.rage.libs -verbose=2 \ -rna=all_mrna -est=intronEst \ hg19 /dev/null $out -chrom=$c end '_EOF_' # << happy emacs chmod +x ./runClusterRna ./runClusterRna hgLoadBed hg19 rnaCluster chrom/*.bed ############################################################################# # dbSNP BUILD 132 (SNP132) BASIC TABLES (DONE 11/17/10 angie) # Initially loaded 11/15/10; I found some missing or improperly located rs_fasta # sequences and dbSNP re-dumped rs_fasta, so I rebuilt everything dependent on # rs_fasta 11/17. # Set up build directory mkdir -p /hive/data/outside/dbSNP/132/{human,shared} # Get field encodings -- if there are changes or additions to the # encoding of the corresponding fields, you might need to update # snpNcbiToUcsc, hgTracks, hgc and hgTrackUi (see also # hg/lib/snp125Ui.c). cd /hive/data/outside/dbSNP/132/shared alias wg wget --timestamping set ftpShared = ftp://ftp.ncbi.nih.gov/snp/database/shared_data wg $ftpShared/LocTypeCode.bcp.gz wg $ftpShared/SnpClassCode.bcp.gz wg $ftpShared/SnpFunctionCode.bcp.gz wg $ftpShared/SnpValidationCode.bcp.gz wg $ftpShared/Allele.bcp.gz ########################## DOWNLOAD ############################# cd /hive/data/outside/dbSNP/132/human mkdir data schema rs_fasta # Get data from NCBI (anonymous FTP) set ftpSnpDb = ftp://ftp.ncbi.nih.gov/snp/organisms/human_9606/database wg ftp://ftp.ncbi.nih.gov/snp/00readme.txt cd /hive/data/outside/dbSNP/132/human/data # ContigLoc table has coords, orientation, loc_type, and refNCBI allele wg $ftpSnpDb/organism_data/b132_SNPContigLoc_37_1.bcp.gz # ContigLocusId table has functional annotations wg $ftpSnpDb/organism_data/b132_SNPContigLocusId_37_1.bcp.gz wg $ftpSnpDb/organism_data/b132_ContigInfo_37_1.bcp.gz # MapInfo has alignment weights wg $ftpSnpDb/organism_data/b132_SNPMapInfo_37_1.bcp.gz # SNP has univar_id, validation status and heterozygosity wg $ftpSnpDb/organism_data/SNP.bcp.gz # New info as of 132: allele freq, 'clinical' bit, SNP submitter handles wg $ftpSnpDb/organism_data/SNPAlleleFreq.bcp.gz wg $ftpSnpDb/organism_data/SNP_bitfield.bcp.gz wg $ftpSnpDb/organism_data/Batch.bcp.gz wg $ftpSnpDb/organism_data/SubSNP.bcp.gz wg $ftpSnpDb/organism_data/SNPSubSNPLink.bcp.gz # Get schema cd /hive/data/outside/dbSNP/132/human/schema wg $ftpSnpDb/organism_schema/human_9606_table.sql.gz wg $ftpSnpDb/shared_schema/dbSNP_main_table.sql.gz # Get fasta files # using headers of fasta files for molType, class, observed cd /hive/data/outside/dbSNP/132/human/rs_fasta # Re-downloaded 11/17/10 (dbSNP re-dump): wg ftp://ftp.ncbi.nih.gov/snp/organisms/human_9606/rs_fasta/\*.gz ########################## LOAD NCBI TABLES ############################# # Simplify names of data files -- strip version & extras to get # local canonical table names. cd /hive/data/outside/dbSNP/132/human/data foreach f (*.bcp.gz) set new = `echo $f \ | sed -e 's/^b132_SNP//; s/^b132_//; s/_37_1//; s/.bcp//;'` mv $f $new echo $new end cd /hive/data/outside/dbSNP/132/human/schema zcat human_9606_table.sql.gz \ | perl -we '$/ = "\nGO\n\n\n"; \ while (<>) { \ next unless /^CREATE TABLE \[(b132_(SNP)?)?(ContigInfo|ContigLoc|ContigLocusId|MapInfo|SNP|SNPAlleleFreq)(_37_1)?\]/; \ s/b132_(SNP)?//; s/_37_1//; \ s/[\[\]]//g; s/GO\n\n/;/; s/smalldatetime/datetime/g; \ s/ON PRIMARY//g; s/COLLATE//g; s/Latin1_General_BIN//g; \ s/IDENTITY (1, 1) NOT NULL /NOT NULL AUTO_INCREMENT, PRIMARY KEY (id)/g; \ s/nvarchar/varchar/g; s/set quoted/--set quoted/g; \ s/(image|varchar\s+\(\d+\))/BLOB/g; \ print; \ }' \ > table.sql zcat dbSNP_main_table.sql.gz \ | sed -re 's/\r//g;' \ | perl -we '$/ = "\nGO\n\n\n"; \ while (<>) { \ next unless /^CREATE TABLE \[Allele\]/; \ s/[\[\]]//g; s/GO\n\n\n/;\n/; s/smalldatetime/datetime/g; \ print; \ }' \ >> table.sql # load on hgwdev hgsql -e 'create database hg19snp132' cd /hive/data/outside/dbSNP/132/human/schema hgsql hg19snp132 < table.sql cd ../data # Avoid wasting space by excluding mappings to non-reference contigs (ContigInfo.group_label): zcat ContigInfo.gz | cut -f 12 | uniq | sort -u #CRA_TCAGchr7v2 #Celera #GRCh37 #HuRef foreach t (ContigInfo MapInfo ContigLocusId) zcat $t.gz \ | egrep -vw '(Celera|HuRef|CRA_TCAGchr7v2)' \ | perl -wpe 's/(\d\d:\d\d:\d\d)\.0/$1/g;' \ | hgLoadSqlTab -oldTable hg19snp132 $t placeholder stdin end # Compare contig list between liftContigs.lft and reference contigs in ContigInfo. cut -f 2 /hive/data/genomes/hg19/jkStuff/liftContigs.lft | sort > /data/tmp/1 # (HuRef, Celera, CRA_TCAGchr7v2 grepped out above) hgsql hg19snp132 -N -B -e 'select contig_acc from ContigInfo;' | sort > /data/tmp/2 diff /data/tmp/[12] #1c1 #< NC_001807 #--- #> NC_012920 # darn mitochondria version oops. Use NC_012920ToChrM.over.chain generated for snp131. # Make sure there are no orient != 0 contigs among those selected. hgsql hg19snp132 -NBe \ 'select count(*) from ContigInfo where orient != 0;' #0 # ContigLoc is huge, and we want just the reference contig mappings. # Keep lines only if they have a word match to some reference contig ID. # That probably will allow some false positives from coord matches, # but we can clean those up afterward. zcat ContigInfo.gz | g -w GRCh37 | cut -f 1 | sort -n > GRCh37ContigInfo.ctg_id.txt wc -l GRCh37ContigInfo.ctg_id.txt #259 GRCh37ContigInfo.ctg_id.txt zcat ContigLoc.gz \ | grep -Fwf GRCh37ContigInfo.ctg_id.txt \ | perl -wpe 's/(\d\d:\d\d:\d\d)\.0/$1/g;' \ | hgLoadSqlTab -oldTable hg19snp132 ContigLoc placeholder stdin #Warning 1366 Incorrect integer value: '' for column 'loc_sts_uid' at row 1 #Warning 1366 Incorrect integer value: '' for column 'loc_sts_uid' at row 2 #Warning 1366 Incorrect integer value: '' for column 'loc_sts_uid' at row 3 #Warning 1366 Incorrect integer value: '' for column 'loc_sts_uid' at row 4 #... #load of ContigLoc did not go as planned: 34610577 record(s), 0 row(s) skipped, 4143419 warning(s) loading /dev/stdin # Get rid of those false positives (crazy slow, create indices first next time): hgsql hg19snp132 -e 'create table ContigLocFix select cl.* from ContigLoc as cl, ContigInfo as ci where cl.ctg_id = ci.ctg_id;' hgsql hg19snp132 -e 'drop table ContigLoc; \ rename table ContigLocFix to ContigLoc;' zcat SNP.gz \ | perl -wpe 's/(\d\d:\d\d:\d\d)\.0/$1/g;' \ | hgLoadSqlTab -oldTable hg19snp132 SNP placeholder stdin #Warning 1366 Incorrect integer value: '' for column 'CpG_code' at row 1 #Warning 1366 Incorrect integer value: '' for column 'map_property' at row 1 #Warning 1366 Incorrect integer value: '' for column 'CpG_code' at row 2 #Warning 1366 Incorrect integer value: '' for column 'map_property' at row 2 #Warning 1265 Data truncated for column 'avg_heterozygosity' at row 3 #Warning 1265 Data truncated for column 'het_se' at row 3 #... #load of SNP did not go as planned: 30443714 record(s), 0 row(s) skipped, 21366755 warning(s) loading /dev/stdin # ... no big deal. foreach t (ContigInfo ContigLoc ContigLocusId MapInfo SNP) echo -n "${t}:\t" hgsql -N -B hg19snp132 -e 'select count(*) from '$t end #ContigInfo: 259 #ContigLoc: 34610479 #ContigLocusId: 19829016 #MapInfo: 30399417 #SNP: 30443714 #################### EXTRACT INFO FROM NCBI TABLES #################### # Glom each SNP's function codes together and load up a new hg19Snp132 table. # Also extract NCBI's annotations of coding SNPs' effects on translation. # We extract ContigLocusId info only for reference assembly mapping. # Some SNP's functional annotations are for an alternate assembly, so we will # have no NCBI functional annotations to display for those (but our own are # available). cd /hive/data/outside/dbSNP/132/human # Add indices to tables for a big join (5 or 6 minutes): hgsql hg19snp132 -e \ 'alter table ContigInfo add index (ctg_id); \ alter table ContigLocusId add index (ctg_id);' hgsql hg19snp132 -NBe 'select snp_id, ci.contig_acc, asn_from, asn_to, mrna_acc, \ fxn_class, reading_frame, allele, residue, codon, cli.ctg_id \ from ContigLocusId as cli, ContigInfo as ci \ where cli.ctg_id = ci.ctg_id;' \ > ncbiFuncAnnotations.txt wc -l ncbiFuncAnnotations.txt #19828052 ncbiFuncAnnotations.txt # Ignore function code 8 (cds-reference, just means that some allele matches reference) # and glom functions for each SNP id: cut -f 1-4,6,11 ncbiFuncAnnotations.txt \ | sort -u -k1n,1n -k6n,6n -k3n,3n -k5n,5n \ | perl -we 'while (<>) { chomp; \ ($id, undef, $s, $e, $f, $c) = split; \ if (defined $prevId && $id == $prevId && $c == $prevC && $s == $prevS) { \ $prevFunc .= "$f," unless ($f == 8); \ } else { \ if (defined $prevId) { \ print "$prevId\t$prevC\t$prevS\t$prevE\t$prevFunc\n" if ($prevFunc); \ } \ $prevFunc = ($f == 8) ? "" : "$f,"; \ } \ ($prevId, $prevC, $prevS, $prevE) = ($id, $c, $s, $e); \ } \ print "$prevId\t$prevC\t$prevS\t$prevE\t$prevFunc\n" if ($prevFunc);' \ > ucscFunc.txt wc -l ucscFunc.txt #11673179 ucscFunc.txt cat > ucscFunc.sql <<EOF CREATE TABLE ucscFunc ( snp_id int NOT NULL , ctg_id int(10) NOT NULL , asn_from int(10) NOT NULL , asn_to int(10) NOT NULL , fxn_class varchar(255) NOT NULL , INDEX snp_id (snp_id), INDEX ctg_id (ctg_id) ); EOF hgLoadSqlTab hg19snp132 ucscFunc{,.sql,.txt} # ucscFunc coords are NCBI's 0-based, fully-closed, 2-base-wide insertions. # We need to leave the coords alone here so ucscFunc can be joined below. # Make a list of SNPs with func anno's that are insertion SNPs, so we can use # the list to determine what type of coord fix to apply to each annotation # when making snp130CodingDbSnp below. hgsql hg19snp132 -NBe \ 'select ci.contig_acc, cl.asn_from, cl.asn_to, uf.snp_id \ from ucscFunc as uf, ContigLoc as cl, ContigInfo as ci \ where uf.snp_id = cl.snp_id and \ uf.ctg_id = cl.ctg_id and uf.asn_from = cl.asn_from and uf.asn_to = cl.asn_to and \ cl.loc_type = 3 and \ cl.ctg_id = ci.ctg_id' \ > ncbiFuncInsertions.ctg.bed wc -l ncbiFuncInsertions.ctg.bed #1099530 ncbiFuncInsertions.ctg.bed # Extract observed allele, molType and snp class from FASTA headers gnl mkdir rs_fasta/rejects mv rs_fasta/rs_ch{AltOnly,NotOn}.fas.gz rs_fasta/rejects/ zcat rs_fasta/rs_ch*.fas.gz \ | grep '^>gnl' \ | perl -wpe 's/^\S+rs(\d+) .*mol="(\w+)"\|class=(\d+)\|alleles="([^"]+)"\|build.*/$1\t$4\t$2\t$3/ || die "Parse error line $.:\n$_\n\t";' \ | sort -nu \ > ucscGnl.txt #547.545u 92.641s 6:08.04 173.9% 0+0k 0+0io 0pf+0w wc -l ucscGnl.txt #30144822 ucscGnl.txt # weird -- it shrunk from the original 30152349 cut -f 1 ucscGnl.txt | uniq | wc -l #30144822 cat > ucscGnl.sql <<EOF CREATE TABLE ucscGnl ( snp_id int NOT NULL , observed varchar(255) NOT NULL, molType varchar(255) NOT NULL, class varchar(255) NULL , INDEX snp_id (snp_id) ); EOF hgLoadSqlTab hg19snp132 ucscGnl{,.sql,.txt} # Add indices to tables for a big join: hgsql hg19snp132 -e \ 'alter table ContigLoc add index (ctg_id); \ alter table SNP add index (snp_id); \ alter table MapInfo add index (snp_id);' #TODO: add SNPAlleleFreq to this query and snpNcbiToUcsc (bitfield/"clinical" too) # Big leftie join to bring together all of the columns that we want in snp132, # using all of the available joining info: hgsql hg19snp132 -NBe \ 'SELECT ci.contig_acc, cl.asn_from, cl.asn_to, cl.snp_id, cl.orientation, cl.allele, \ ug.observed, ug.molType, ug.class, \ s.validation_status, s.avg_heterozygosity, s.het_se, \ uf.fxn_class, cl.loc_type, mi.weight, cl.phys_pos_from \ FROM \ ((((ContigLoc as cl JOIN ContigInfo as ci \ ON cl.ctg_id = ci.ctg_id) \ LEFT JOIN MapInfo as mi ON mi.snp_id = cl.snp_id and mi.assembly = ci.group_label) \ LEFT JOIN SNP as s ON s.snp_id = cl.snp_id) \ LEFT JOIN ucscGnl as ug ON ug.snp_id = cl.snp_id) \ LEFT JOIN ucscFunc as uf ON uf.snp_id = cl.snp_id and uf.ctg_id = cl.ctg_id \ and uf.asn_from = cl.asn_from;' \ > ucscNcbiSnp.ctg.bed #73.036u 12.668s 25:32.42 5.5% 0+0k 0+0io 0pf+0w wc -l ucscNcbiSnp.ctg.bed #34610479 ucscNcbiSnp.ctg.bed # Use liftUp for everything except mito, then liftOver for mito. # There are some weird cases of length=1 but locType=range... in all the cases # that I checked, the length really seems to be 1 so I'm not sure where they got # the locType=range. Tweak locType in those cases so we can keep those SNPs: grep -vw ^NC_012920 ucscNcbiSnp.ctg.bed \ | awk -F"\t" 'BEGIN{OFS="\t";} \ $2 == $3 && $14 == 1 {$14=2; \ if (numTweaked < 10) {print $4 > "/dev/stderr";} \ numTweaked++;} {print;} \ END{print numTweaked, "single-base, locType=range, tweaked locType" > "/dev/stderr";}' \ | liftUp ucscNcbiSnp.bed \ /hive/data/genomes/hg19/jkStuff/liftContigs.lft warn stdin #TODO: examine these again, report to dbSNP: #118203330 #118203339 #118203340 #118203367 #118203389 #118203401 #118203405 #118203425 #118203428 #118203433 #588 single-base, locType=range, tweaked locType #217.470u 28.776s 2:54.46 141.1% 0+0k 0+0io 0pf+0w # For liftOver, convert 0-base fully-closed to 0-based half-open because liftOver # doesn't deal with 0-base items. Fake out phys_pos_from to 0 because many coords # will differ, oh well. grep -w NC_012920 ucscNcbiSnp.ctg.bed \ | awk -F"\t" 'BEGIN{OFS="\t";} {$3 += 1; $16 = 0; print;}' \ | liftOver -bedPlus=3 stdin \ /hive/data/outside/dbSNP/131/human/NC_012920ToChrM.over.chain stdout chrM.unmapped \ | awk -F"\t" 'BEGIN{OFS="\t";} {$3 -= 1; print;}' \ | sort -k2n,2n \ > chrMNcbiSnp.bed #2.827u 1.576s 0:48.15 9.1% 0+0k 0+0io 0pf+0w #2.805u 1.392s 0:51.90 8.0% 0+0k 0+0io 7pf+0w cat chrM.unmapped # Good, got all but 3 SNPS (rs28693675, rs55749223 and rs112781979, partially deleted/deleted) cat chrMNcbiSnp.bed >> ucscNcbiSnp.bed wc -l ucscNcbiSnp.bed #34610476 ucscNcbiSnp.bed # Translate NCBI's encoding into UCSC's, and perform a bunch of checks. cd /hive/data/outside/dbSNP/132/human/ # Updated snpNcbiToUCSC for new MAX_SNPID (80M -> 120M), # new named alleles oddball formats: CHLC.GGAA2D04, GDB:190880, SHGC-35515, =D22S272 # new MAX_SNPSIZE (1k -> 16k) snpNcbiToUcsc ucscNcbiSnp.bed /hive/data/genomes/hg19/hg19.2bit snp132 #spaces stripped from observed: #chr12 6093134 6093134 rs41402545 #count of snps with weight 0 = 69071 #count of snps with weight 1 = 29465124 #count of snps with weight 2 = 523595 #count of snps with weight 3 = 3037908 #count of snps with weight 10 = 1514756 #Skipped 976 snp mappings due to errors -- see snp132Errors.bed #214.507u 7.542s 4:38.56 79.7% 0+0k 0+0io 0pf+0w head snp132Errors.bed #chr1 11082586 11082587 rs80356737 Unexpected refNCBI "AT" for locType "between" (3) -- expected "-" #chr1 11082586 11082587 rs80356737 rs80356737 is 1 bases long but refNCBI is different length: AT #chr1 43392806 43392807 rs80359840 Unexpected refNCBI "CA" for locType "between" (3) -- expected "-" #chr1 43392806 43392807 rs80359840 rs80359840 is 1 bases long but refNCBI is different length: CA #chr1 43395420 43395421 rs80359834 Unexpected refNCBI "AC" for locType "between" (3) -- expected "-" #chr1 43395420 43395421 rs80359834 rs80359834 is 1 bases long but refNCBI is different length: AC #chr1 43395659 43395660 rs80359833 Unexpected refNCBI "AG" for locType "between" (3) -- expected "-" #chr1 43395659 43395660 rs80359833 rs80359833 is 1 bases long but refNCBI is different length: AG #chr1 43396801 43396802 rs80359831 Unexpected refNCBI "GC" for locType "between" (3) -- expected "-" #chr1 43396801 43396802 rs80359831 rs80359831 is 1 bases long but refNCBI is different length: GC wc -l snp* # 33026121 snp132.bed # 22 snp132.sql # 976 snp132Errors.bed # 18 snp132ExceptionDesc.tab # 4945948 snp132Exceptions.bed # 7M new snps, not a big increase in exceptions (snp131 had 4281351) # Make one big fasta file. # It's a monster: 18G! Can we split by hashing rsId? zcat rs_fasta/rs_ch*.fas.gz \ | perl -wpe 's/^>gnl\|dbSNP\|(rs\d+) .*/>$1/ || ! /^>/ || die;' \ > snp132.fa #611.912u 114.850s 7:40.41 157.8% 0+0k 0+0io 0pf+0w # Check for duplicates. grep ^\>rs snp132.fa | sort > /data/tmp/seqHeaders wc -l /data/tmp/seqHeaders #30144822 /data/tmp/seqHeaders uniq /data/tmp/seqHeaders | wc -l #30144822 # Use hgLoadSeq to generate .tab output for sequence file offsets, # and keep only the columns that we need: acc and file_offset. # Index it and translate to snpSeq table format. hgLoadSeq -test placeholder snp132.fa #30144822 sequences #52.698u 14.570s 9:18.88 12.0% 0+0k 0+0io 0pf+0w cut -f 2,6 seq.tab > snp132Seq.tab rm seq.tab # Load up main track tables. cd /hive/data/outside/dbSNP/132/human hgLoadBed -tab -onServer -tmpDir=/data/tmp -allowStartEqualEnd \ hg19 snp132 -sqlTable=snp132.sql snp132.bed #Loaded 33026121 elements of size 17 #124.626u 10.983s 8:20.73 27.0% 0+0k 0+0io 0pf+0w hgLoadBed -tab -onServer -tmpDir=/data/tmp -allowStartEqualEnd \ hg19 snp132Exceptions -sqlTable=$HOME/kent/src/hg/lib/snp125Exceptions.sql -renameSqlTable \ snp132Exceptions.bed #Loaded 4945948 elements of size 5 #14.816u 0.930s 0:52.42 30.0% 0+0k 0+0io 0pf+0w hgLoadSqlTab hg19 snp132ExceptionDesc ~/kent/src/hg/lib/snp125ExceptionDesc.sql \ snp132ExceptionDesc.tab # Load up sequences. mkdir -p /gbdb/hg19/snp ln -s /hive/data/outside/dbSNP/132/human/snp132.fa /gbdb/hg19/snp/snp132.fa hgLoadSqlTab hg19 snp132Seq ~/kent/src/hg/lib/snpSeq.sql snp132Seq.tab # Put in a link where one would expect to find the track build dir... ln -s /hive/data/outside/dbSNP/132/human /hive/data/genomes/hg19/bed/snp132 #*** TODO: ask cluster-admin to pack the snp132 table (or whatever tables we'll push) # Look at the breakdown of exception categories: cd /hive/data/outside/dbSNP/132/human cut -f 5 snp132Exceptions.bed | sort | uniq -c | sort -nr #3644435 MultipleAlignments # 964493 ObservedMismatch # 90035 SingleClassTriAllelic # 77552 SingleClassZeroSpan # 43631 ObservedTooLong # 33650 MixedObserved # 26701 FlankMismatchGenomeShorter # 25574 SingleClassLongerSpan # 12222 RefAlleleMismatch # 11525 DuplicateObserved # 8340 SingleClassQuadAllelic # 4463 NamedDeletionZeroSpan # 2052 FlankMismatchGenomeLonger # 806 ObservedContainsIupac # 317 NamedInsertionNonzeroSpan # 150 FlankMismatchGenomeEqual # 1 RefAlleleRevComp # 1 ObservedWrongFormat #TODO: Sent a few bug reports to dbSNP ############################################################################ # SNP132 ORTHOLOGOUS ALLELES IN CHIMP, ORANG, MACAQUE (DONE 11/22/10 angie) mkdir /hive/data/genomes/hg19/bed/snp132Ortho cd /hive/data/genomes/hg19/bed/snp132Ortho # Following Heather's lead in snp126orthos, filter SNPs to to keep # only those with class=single, length=1, chrom!~random; # Exclude those with exceptions MultipleAlignments, # SingleClassTriAllelic or SingleClassQuadAllelic. awk '$5 ~ /^MultipleAlignments|SingleClassTriAllelic|SingleClassQuadAllelic/ {print $4;}' \ /hive/data/outside/dbSNP/132/human/snp132Exceptions.bed \ | sort -u \ > snp132ExcludeIds.txt awk '$3-$2 == 1 && $1 !~ /_random/ && $1 !~ /^chrUn/ && $11 == "single" {print;}' \ /hive/data/outside/dbSNP/132/human/snp132.bed \ | grep -vFwf snp132ExcludeIds.txt \ > snp132Simple.bed #264.984u 13.702s 3:57.29 117.4% 0+0k 0+0io 0pf+0w wc -l snp132Simple.bed #23908516 snp132Simple.bed # Glom all human info that we need for the final table onto the # name, to sneak it through liftOver: rsId|chr|start|end|obs|ref|strand awk 'BEGIN{OFS="\t";} \ {print $1, $2, $3, \ $4 "|" $1 "|" $2 "|" $3 "|" $9 "|" $8 "|" $6, \ 0, $6;}' \ snp132Simple.bed > snp132ForLiftOver.bed #62.518u 2.141s 1:09.79 92.6% 0+0k 0+0io 0pf+0w # Map coords to chimp using liftOver. mkdir run.liftOChimp cd run.liftOChimp mkdir split out #*** NOTE FOR NEXT TIME: make this 10000 not 50000: splitFile ../snp132ForLiftOver.bed 50000 split/chunk cp /dev/null jobList foreach f (split/chunk*) echo liftOver $f \ /hive/data/genomes/hg19/bed/liftOver/hg19ToPanTro2.over.chain.gz \ \{check out exists out/panTro2.$f:t.bed\} out/hg19.$f:t.unmapped \ >> jobList end ssh swarm cd /hive/data/genomes/hg19/bed/snp132Ortho/run.liftOChimp para make jobList #Completed: 479 of 479 jobs #CPU time in finished jobs: 168182s 2803.03m 46.72h 1.95d 0.005 y #IO & Wait Time: 12873s 214.55m 3.58h 0.15d 0.000 y #Average job time: 378s 6.30m 0.10h 0.00d #Longest finished job: 1152s 19.20m 0.32h 0.01d #Submission to last job: 1165s 19.42m 0.32h 0.01d # Map coords to orangutan using liftOver. mkdir ../run.liftOPon cd ../run.liftOPon mkdir out ln -s ../run.liftOChimp/split . cp /dev/null jobList foreach f (split/chunk*) echo liftOver $f \ /hive/data/genomes/hg19/bed/liftOver/hg19ToPonAbe2.over.chain.gz \ \{check out exists out/ponAbe2.$f:t.bed\} out/hg19.$f:t.unmapped \ >> jobList end para make jobList #Completed: 479 of 479 jobs #CPU time in finished jobs: 413536s 6892.27m 114.87h 4.79d 0.013 y #IO & Wait Time: 29174s 486.23m 8.10h 0.34d 0.001 y #Average job time: 924s 15.40m 0.26h 0.01d #Longest finished job: 2299s 38.32m 0.64h 0.03d #Submission to last job: 2309s 38.48m 0.64h 0.03d # Map coords to macaque using liftOver. mkdir ../run.liftOMac cd ../run.liftOMac mkdir out ln -s ../run.liftOChimp/split . cp /dev/null jobList foreach f (split/chunk*) echo liftOver $f \ /hive/data/genomes/hg19/bed/liftOver/hg19ToRheMac2.over.chain.gz \ \{check out exists out/rheMac2.$f:t.bed\} out/hg19.$f:t.unmapped \ >> jobList end para make jobList #Completed: 479 of 479 jobs #CPU time in finished jobs: 463852s 7730.87m 128.85h 5.37d 0.015 y #IO & Wait Time: 32857s 547.62m 9.13h 0.38d 0.001 y #Average job time: 1037s 17.28m 0.29h 0.01d #Longest finished job: 2354s 39.23m 0.65h 0.03d #Submission to last job: 2444s 40.73m 0.68h 0.03d cd /hive/data/genomes/hg19/bed/snp132Ortho # Concatenate the chimp results, sorting by chimp pos in order to # efficiently access 2bit sequence in getOrthoSeq. The output of # that is then sorted by the glommed human info field, so that we # can use join to combine chimp and macaque results in the next step. # Ditto for macaque and orangutan. Each command pipe takes ~6 minutes: sort -k1,1 -k2n,2n run.liftOChimp/out/panTro2.chunk*.bed \ | ~/kent/src/hg/snp/snpLoad/getOrthoSeq.pl /cluster/data/panTro2/panTro2.2bit \ | sort > panTro2.orthoGlom.txt sort -k1,1 -k2n,2n run.liftOPon/out/ponAbe2.chunk*.bed \ | ~/kent/src/hg/snp/snpLoad/getOrthoSeq.pl /cluster/data/ponAbe2/ponAbe2.2bit \ | sort > ponAbe2.orthoGlom.txt sort -k1,1 -k2n,2n run.liftOMac/out/rheMac2.chunk*.bed \ | ~/kent/src/hg/snp/snpLoad/getOrthoSeq.pl /cluster/data/rheMac2/rheMac2.2bit \ | sort > rheMac2.orthoGlom.txt wc -l panTro2.orthoGlom.txt ponAbe2.orthoGlom.txt rheMac2.orthoGlom.txt #22382184 panTro2.orthoGlom.txt #21280289 ponAbe2.orthoGlom.txt #19249238 rheMac2.orthoGlom.txt # Use the glommed name field as a key to join up chimp and macaque # allele data. Include glommed name from both files because if only # file 2 has a line for the key in 2.1, then 1.1 is empty. Then plop # in the orthoGlom fields from each file, which are in the same order # as the chimp and macaque columns of snp132OrthoPanTro2RheMac2. join -o '1.1 2.1 1.2 1.3 1.4 1.5 1.6 2.2 2.3 2.4 2.5 2.6' \ -a 1 -a 2 -e '?' \ panTro2.orthoGlom.txt ponAbe2.orthoGlom.txt \ | awk '{if ($1 != "?") { print $1, $3,$4,$5,$6,$7,$8,$9,$10,$11,$12; } \ else { print $2, $3,$4,$5,$6,$7,$8,$9,$10,$11,$12; }}' \ > tmp.txt #113.229u 24.575s 1:26.02 160.1% 0+0k 0+0io 0pf+0w join -o '1.1 2.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 1.10 1.11 2.2 2.3 2.4 2.5 2.6' \ -a 1 -a 2 -e '?' \ tmp.txt rheMac2.orthoGlom.txt \ | perl -wpe 'chomp; \ ($glom12, $glom3, $o1Chr, $o1Start, $o1End, $o1Al, $o1Strand, \ $o2Chr, $o2Start, $o2End, $o2Al, $o2Strand, \ $o3Chr, $o3Start, $o3End, $o3Al, $o3Strand) = split; \ $glomKey = ($glom12 ne "?") ? $glom12 : $glom3; \ ($rsId, $hChr, $hStart, $hEnd, $hObs, $hAl, $hStrand) = \ split(/\|/, $glomKey); \ $o1Start =~ s/^\?$/0/; $o2Start =~ s/^\?$/0/; $o3Start =~ s/^\?$/0/; \ $o1End =~ s/^\?$/0/; $o2End =~ s/^\?$/0/; $o3End =~ s/^\?$/0/; \ print join("\t", $hChr, $hStart, $hEnd, $rsId, $hObs, $hAl, $hStrand, \ $o1Chr, $o1Start, $o1End, $o1Al, $o1Strand, \ $o2Chr, $o2Start, $o2End, $o2Al, $o2Strand, \ $o3Chr, $o3Start, $o3End, $o3Al, $o3Strand) . "\n"; \ s/^.*$//;' \ | sort -k1,1 -k2n,2n > snp132OrthoPt2Pa2Rm2.bed #516.332u 101.651s 7:59.63 128.8% 0+0k 0+0io 0pf+0w wc -l snp132OrthoPt2Pa2Rm2.bed #23235355 snp132OrthoPt2Pa2Rm2.bed hgLoadBed -tab -onServer -tmpDir=/data/tmp -renameSqlTable \ -sqlTable=$HOME/kent/src/hg/lib/snpOrthoPanPonRhe.sql \ hg19 snp132OrthoPt2Pa2Rm2 snp132OrthoPt2Pa2Rm2.bed #Loaded 23235355 elements of size 22 #87.826u 8.471s 8:22.46 19.1% 0+0k 0+0io 0pf+0w # Cleanup: rm -r run*/split tmp.txt *.orthoGlom.txt bed.tab nice gzip snp132Simple.bed snp132ExcludeIds.txt snp132ForLiftOver.bed & ############################################################################ # DBSNP CODING ANNOTATIONS (132) (DONE 11/17/10 angie) # These annotations are not restricted to the ones that we display, # so it wasn't necessary to rebuild this after rebuilding snp132 to # include SNPs missing from the first rs_fasta dump. cd /hive/data/outside/dbSNP/132/human # ncbiFuncAnnotations.txt has NCBI coords: 0-based, fully closed. # For anything except an insertion (0 bases between flanks), # we need to add 1 to the end coord. For an insertion, we need # to add 1 to the start coord. Make a hash of the insertion IDs, # then look up each ID in ncbiFuncAnnotations.txt to tell which # transform to apply. # Note: sort -u with the keys below is too restrictive -- we need full line uniq. perl -we 'open($IDS, "ncbiFuncInsertions.ctg.bed") || die "ids: $!"; \ while (<$IDS>) { chomp; $ids{$_} = 1; } \ close($IDS); \ %coding = (2=>1, 3=>1, 4=>1, 8=>1, 9=>1, 41=>1, 42=>1, 44=>1, 45=>1); \ while (<>) { \ chomp; @w = split("\t"); # id, ctg, start, end, ... \ next unless $coding{$w[5]}; \ $bed4 = join("\t", $w[1], $w[2], $w[3], $w[0]); \ if (exists $ids{$bed4} && $w[3] == $w[2]+1) { \ $w[2]++; # 2-base insertions: increment start coord \ } else { \ $w[3]++; # increment end coord to get half-open \ } \ print join("\t", @w) . "\n"; \ }' ncbiFuncAnnotations.txt \ | sort -k1n,1n -k2,2 -k3n,3n -k5,5 -k6n,6n \ | uniq \ > ncbiCodingAnnotations.txt wc -l ncbiCodingAnnotations.txt #1015611 ncbiCodingAnnotations.txt # How many & what kinds of function types? cut -f 6 ncbiCodingAnnotations.txt \ | sort -n | uniq -c # 179089 3 (coding-synon) # 493143 8 (cds-reference -- ignored) # 10575 41 (nonsense) # 272848 42 (missense) # 57934 44 (frameshift) # 2022 45 (cds-indel) # Gather up multiple annotation lines into one line per {snp, gene, frame}: perl -e 'while (<>) { chomp; \ my ($rsId, $ctg, $s, $e, $txId, $fxn, $frm, $nt, $aa, $codon) = split("\t"); \ if (defined $lastRs && \ ($lastRs != $rsId || $lastCtg ne $ctg || $lastS != $s || \ $lastTx ne $txId || $lastFrm ne $frm)) { \ if (defined $refRow) { \ $fxns = "$refRow->[0],$fxns"; $nts = "$refRow->[1],$nts"; \ $aas = "$refRow->[2],$aas"; $codons = "$refRow->[3],$codons"; \ } \ print "$lastCtg\t$lastS\t$lastE\trs$lastRs\t$lastTx\t$lastFrm\t" . \ "$count\t$fxns\t$nts\t$codons\t$aas\n"; \ $refRow = undef; @rows = (); ($count, $fxns, $nts, $codons, $aas) = (); \ } \ ($lastRs, $lastCtg, $lastS, $lastE, $lastTx, $lastFrm) = \ ($rsId, $ctg, $s, $e, $txId, $frm); \ $count++; \ if ($fxn == 8) { \ $refRow = [$fxn, $nt, $aa, $codon]; \ } else { \ $fxns .= "$fxn,"; $nts .= "$nt,"; $aas .= "$aa,"; $codons .= "$codon,"; \ } \ } \ if (defined $refRow) { \ $fxns = "$refRow->[0],$fxns"; $nts = "$refRow->[1],$nts"; \ $aas = "$refRow->[2],$aas"; $codons = "$refRow->[3],$codons"; \ } \ print "$lastCtg\t$lastS\t$lastE\trs$lastRs\t$lastTx\t$lastFrm\t" . \ "$count\t$fxns\t$nts\t$codons\t$aas\n";' \ ncbiCodingAnnotations.txt \ | liftUp snp132CodingDbSnp.bed /hive/data/genomes/hg19/jkStuff/liftContigs.lft warn stdin hgLoadBed hg19 snp132CodingDbSnp -sqlTable=$HOME/kent/src/hg/lib/snp125Coding.sql \ -renameSqlTable -tab -notItemRgb -allowStartEqualEnd \ snp132CodingDbSnp.bed #Loaded 492412 elements of size 11 ############################################################################ # SNPMASKED SEQUENCE FOR SNP132 (DONE 11/22/10 angie) mkdir /hive/data/genomes/hg19/snp132Mask cd /hive/data/genomes/hg19/snp132Mask # Identify rsIds with various problems -- we will exclude those. awk '$5 ~ /^MultipleAlignments|ObservedTooLong|ObservedWrongFormat|ObservedMismatch|MixedObserved$/ {print $4;}' \ /hive/data/outside/dbSNP/132/human/snp132Exceptions.bed \ | sort -u \ > snp132ExcludeRsIds.txt grep -vFwf snp132ExcludeRsIds.txt \ /hive/data/outside/dbSNP/132/human/snp132.bed \ > snp132Cleaned.bed #262.134u 4.612s 4:39.15 95.5% 0+0k 0+0io 0pf+0w # Substitutions: mkdir substitutions snpMaskSingle snp132Cleaned.bed /hive/data/genomes/hg19/hg19.2bit stdout \ | faSplit byname stdin substitutions/ #Masked 23848747 snps in 23846674 out of 3134643623 genomic bases # 2,361 warnings about differing observed strings at same base position -- # saved as diffObserved.txt. #/hive/data/genomes/hg19/hg19.2bit has 3137161264 total bases, but the total number of bases in sequences for which we masked snps is 3134643623 (difference is 2517641) #53.892u 15.183s 3:24.90 33.7% 0+0k 0+0io 0pf+0w # Check that 2517641 is the total #bases in sequences with nothing in snp132Cleaned: grep -Fw single snp132Cleaned.bed | cut -f 1 | uniq > /data/tmp/1 grep -vwf /data/tmp/1 ../chrom.sizes grep -vwf /data/tmp/1 ../chrom.sizes \ | awk 'BEGIN {TOTAL = 0;} {TOTAL += $2;} END {printf "%d\n", TOTAL;}' #2517641 # Make sure that sizes are identical, first diffs are normal -> IUPAC, # and first diffs' case is preserved: foreach f (substitutions/chr*.fa) faCmp -softMask $f ../[1-9UMXY]*/$f:t |& grep -v "that differ" end #chr1 in substitutions/chr1.fa differs from chr1 at ../1/chr1.fa at base 10326 (y != t) #chr10 in substitutions/chr10.fa differs from chr10 at ../10/chr10.fa at base 61004 (r != a) #... #(output OK -- ambiguous bases replacing [agct] at SNP positions) foreach f (substitutions/chr*.fa) echo $f:t:r mv $f $f:r.subst.fa gzip $f:r.subst.fa end # Insertions & deletions not done. To date we have only offered substs for download. # If there is user demand, use template from snp131 above. # Clean up and prepare for download: gzip snp132Cleaned.bed & foreach d (substitutions) pushd $d md5sum *.gz > md5sum.txt cp /hive/data/genomes/hg19/snp131Mask/$d/README.txt . popd end # Edit the README.txt. # Create download links on hgwdev. mkdir /usr/local/apache/htdocs-hgdownload/goldenPath/hg19/snp132Mask ln -s /hive/data/genomes/hg19/snp132Mask/substitutions/* \ /usr/local/apache/htdocs-hgdownload/goldenPath/hg19/snp132Mask/ ############################################################################# #CREATE MICROSAT TRACK (DONE 2001-11-13 - Chin) ssh hgwdev mkdir /cluster/data/hg19/bed/microsat cd /cluster/data/hg19/bed/microsat awk '($5==2 || $5==3) && $6 >= 15 && $8 == 100 && $9 == 0 {printf("%s\t%s\t%s\t%dx%s\n", $1, $2, $3, $6, $16);}' \ ../simpleRepeat/simpleRepeat.bed > microsat.bed hgLoadBed hg19 microsat microsat.bed ############################################################################# # Add Human RNA-editing track hg18 (Done, galt, 7/12/2010) # DARNED=DAtabase of RNa EDiting #http://darned.ucc.ie/ #University College Cork mkdir -p /hive/data/genomes/hg19/bed/darned cd /hive/data/genomes/hg19/bed/darned # create go.csh to download and compose allChroms.bed ./go.csh hgLoadBed hg19 darned allChroms.bed # at human, level # added darned.html # added trackDb.ra entry # Bug #6417 duplicate records (6) in Human RNA editing (DARNED) track # (DONE 2012-12-22 Chin) cat allChroms.bed | sort > allSort.bed cat allChroms.bed | sort -u > allSort.bed wc -l *.bed # 42045 allChroms.bed # 42045 allSort.bed # 42039 allUniq.bed hgLoadBed hg19 darned allUniq.bed # Loaded 42039 elements of size 9 ############################################################################# # lsSnpPdb: import of LS-SNP/PDB data for SNP 131 (2010-12-03 markd) # down load from JHU ssh genbank sudo su - genbank cd /cluster/data/genbank ./bin/lsSnpPdbDownloadStep hg19 # load into hgwdev database ssh hgwdev cd /cluster/data/genbank ./bin/lsSnpPdbDbLoadStep hg19 # once this has been QAed, will auto-update from genbank scripts ############################################################################# # NEW SNP132 (DONE 3/8/11 angie) # 3/8/11: Re-ran snpNcbiToUcsc & reloaded to not count PAR SNPs as multiply mapped # Reloaded 1/24/11 to get rid of a couple exceptions that were derived from dbSNP bitfields # Previously loaded 1/5/11 # New table type snp132Ext, with same columns as snp125 plus exceptions, # allele freqs, and submitter handles, using new script doDbSnp.pl. mkdir -p /hive/data/outside/dbSNP/132/human cd /hive/data/outside/dbSNP/132/human # Look at the directory listing of ftp://ftp.ncbi.nih.gov/snp/database/organism_data/ # to find the subdir name to use as orgDir below (human_9606 in this case). # Then click into that directory and look for file names like # b(1[0-9][0-9])_*_([0-9]+_[0-9]) # -- use the first num for build and the second num_num for buildAssembly. # jkStuff/liftContigs.lft maps NCBI contig names to chroms; use that for liftUp. cat > config.ra <<EOF db hg19 orgDir human_9606 build 132 buildAssembly 37_1 liftUp /hive/data/genomes/hg19/jkStuff/liftContigs.lft EOF ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra >& do.log & tail -f do.log # *** This release contains more than one assembly label. # *** Please examine this list in case we need to exclude any of these: # #CRA_TCAGchr7v2 #Celera #GRCh37 #HuRef # *** Add refAssemblyLabel to config.ra. If keeping all labels, it will # *** look like this: # #refAssemblyLabel CRA_TCAGchr7v2,Celera,GRCh37,HuRef # # *** Edit out any of those that are not included in hg19 (e.g. Celera). # *** Then restart this script with -continue=loadDnSnp . # GRCh37 is the only one that corresponds to hg19, so add it to config.ra: echo "refAssemblyLabel GRCh37" >> config.ra # Try again with updated config: ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra \ -continue=loadDbSnp >>& do.log & tail -f do.log # 3/8/11: cd /hive/data/outside/dbSNP/132/human mkdir -p `cat workingDir` cp -p ucscNcbiSnp.bed.gz `cat workingDir` cd `cat workingDir` hgsql hg19 -NBe 'select chrom,chromStart,chromEnd,name from par' > par.bed snpNcbiToUcsc -par=par.bed \ -snp132Ext ucscNcbiSnp.bed.gz /hive/data/genomes/hg19/hg19.2bit snp132 # No change to snp132Errors.bed; only change to snp132ExceptionDesc.tab was # the MultipleAlignments count; snp132.bed items that lost their MultipleAlignments # exceptions were X & Y PAR matches. gzip snp132.bed snp132ExceptionDesc.tab snp132Errors.bed mv snp132* /hive/data/outside/dbSNP/132/human/ cd /hive/data/outside/dbSNP/132/human/ # Doh, dbSNP also assigned a weight of 3 to the PAR SNPs, and that is triggering # our snp132NonUnique filter (below). I sent dbSNP an email about that, and will # tweak weight to 1 where I find a PAR SNP without MultipleAlignments, since I see # it as a bug fix. zcat snp132.bed.gz \ | awk -F"\t" 'BEGIN{OFS="\t";} \ (($1 == "chrX" && \ (($3 > 60000 && $2 < 2699520) || ($3 > 154931043 && $2 < 155260560))) || \ ($1 == "chrY" && \ (($3 > 10000 && $2 < 2649520) || ($3 > 59034049 && $2 < 59363566)))) && \ $18 !~/MultipleAlignments/ {$17 = 1;} \ {print;}' > snp132.parWeightTweak.bed wc -l snp132.parWeightTweak.bed #33026121 snp132.parWeightTweak.bed # Make sure only the weight has changed: zcat snp132.bed.gz | cut -f 1-16,18-25 > /data/tmp/snp132.weightless.bed cut -f 1-16,18-25 snp132.parWeightTweak.bed > /data/tmp/snp132.parTweak.weightless.bed cmp /data/tmp/snp132*.weightless.bed # No output, good. # Reload snp132 with the tweaked weights: hgLoadBed -tab -onServer -tmpDir=$TMPDIR -allowStartEqualEnd \ hg19 snp132 -sqlTable=snp132.sql snp132.parWeightTweak.bed zcat snp132ExceptionDesc.tab.gz \ | hgLoadSqlTab hg19 snp132ExceptionDesc $HOME/kent/src/hg/lib/snp125ExceptionDesc.sql stdin gzip snp132.parWeightTweak.bed ############################################################################# # Agilent arrays (2010-12-01 Andy) cd /hive/data/genomes/hg19/bed/agilentProbes/ # first move all the lifted versions out of the way mkdir lifted.2009-07-28/ mv * lifted.2009-07-28/ # FTP download from ftp.agilent.com using given user/pass from Anniek De-witte # (anniek_de-witte@agilent.com) # downloaded files are gzipped beds. The files are typically located in a # directory called "FOR_UCSC" or something like that. The user/pass and the # directory are deleted after it's confirmed they're received, so it's not # too helpful to mention specifics here. ftp -u user -p password ftp.agilent.com > cd directory > get 014693_D_BED_20100501.bed.gz > get 014698_D_BED_20100501.bed.gz > get 014950_D_BED_20100501.bed.gz > get 021529_D_BED_20100501.bed.gz > get 021850_D_BED_20100430.bed.gz > get 021924_D_BED_20100501.bed.gz > get 022060_D_BED_20100501.bed.gz > get 023642_D_BED_20100430.bed.gz > get 028081_D_BED_20101014.bed.gz > get 029830_D_BED_20100922.bed.gz # unzip everything gunzip * ln -s 022060_D_BED_20100501.bed agilent4x180k.bed ln -s 021529_D_BED_20100501.bed agilentCgh1x1m.bed ln -s 014693_D_BED_20100501.bed agilentCgh1x244k.bed ln -s 014698_D_BED_20100501.bed agilentCgh2x105k.bed ln -s 021850_D_BED_20100430.bed agilentCgh2x400k.bed ln -s 014950_D_BED_20100501.bed agilentCgh4x44k.bed ln -s 021924_D_BED_20100501.bed agilentCgh8x60k.bed ln -s 028081_D_BED_20101014.bed agilentCghSnp2x400k.bed ln -s 029830_D_BED_20100922.bed agilentCghSnp4x180k.bed ln -s 023642_D_BED_20100430.bed agilentHrd1x1m.bed for bed in agilent*.bed; do tail -n +2 $bed | hgLoadBed hg19 ${bed%.bed} stdin done rm bed.tab ### Update (2011-11-01 Andy Pohl # (acquired bed file in e-mail attachment) cd /hive/data/genomes/hg19/bed/agilentProbes ln -s 030587_D_BED_20101006_Colored.bed agilentCghSnpCancer4x180k.bed tail +3 agilentCghSnpCancer4x180k.bed | hgLoadBed hg19 agilentCghSnpCancer4x180k stdin ### Update (2022-03-07 Max Haeussler and Daniel Schmelter) cd /hive/data/genomes/hg19/bed/agilentProbes/genetiSureCyto for i in hg19*.bed; do egrep -v 'browser|track' $i > /tmp/temp.bed; bedSort /tmp/temp.bed /tmp/temp.bed; bedToBigBed /tmp/temp.bed ../../../chrom.sizes `basename $i .bed`.bb; done mkdir /gbdb/hg19/genotypeArrays cd /gbdb/hg19/genotypeArrays for $i in /hive/data/genomes/hg19/bed/agilentProbes/genetiSureCyto/*.bb; do ln -s $i; done ################################################################################# # Rfam (2011-11-30 Melissa Cline) # # This contains genomic alignments of Rfam sequences, from the Rfam group. # # This data is used in building UCSC Genes. # cd /hive/data/outside/Rfam mkdir 111130 cd 111130 wget ftp://ftp.sanger.ac.uk/pub/databases/Rfam/CURRENT/genome.gff3.tar.gz tar xzvf genome.gff3.tar.gz mkdir hg19 cat /hive/data/genomes/hg19/chrom.aliases \ |awk '{ print("cat /hive/data/outside/Rfam/111130/genome_gff/" $1 ".gff3", "|sed", sprintf("%c", 39) "s/" $1 "/" $2 "/" sprintf("%c", 39))}' |bash \ |grep -v -e "^#" \ |awk '{ print($1 "\t" $4 - 1 "\t" $5 "\t" $9 "\t1\t" $7 "\t" $4 - 1 "\t" $5 "\t0\t1\t" $5 - $4 + 1 "\t0" }' \ > hg19/Rfam.bed ##################################################### # Vista Enhancers (galt 2010-12-09 done) # # Vista from Lawrence-Berkeley has assayed # 301 human conserved non-coding intra- and inter- # genic elements for their ability to promote # lacZ in mouse embryos. A positive looks like # a mouse with a purple spine. # mkdir /hive/data/genomes/hg19/bed/vistaEnhancers cd /hive/data/genomes/hg19/bed/vistaEnhancers # download data file from the vista browser (coordinates are for hg19) wget -O enhancerbrowser.datadownload.txt 'http://enhancer.lbl.gov/cgi-bin/imagedb3.pl?page_size=100;show=1;search.result=yes;form=search;search.form=no;action=search;search.sequence=1' # give elements with positive label a score of 900, # give elements with negative label a score of 200. # print to 5-field bed file cat enhancerbrowser.datadownload.txt \ | grep ">" \ | sed -e 's#^<pre>##' \ | sed -e 's#</pre>$##' \ | grep "^>Human" \ | sed -e 's#^>Human|##' \ | tr :- ' ' \ | sed -e 's/positive/900/'\ | sed -e 's/negative/200/' \ | awk '{print $1"\t"$2"\t"$3"\telement_"$6"\t"$8}' \ | grep -P -v "^chr\t" \ > vistaEnhancers.bed hgLoadBed hg19 vistaEnhancers vistaEnhancers.bed #Loaded 1339 elements of size 5 # add to hg19/trackDb.ra track vistaEnhancers override url http://enhancer.lbl.gov/cgi-bin/imagedb3.pl?form=presentation&show=1&experiment_id=$$&organism_id=1 ##################################################### # UNIGENE/SAGE TRACK (RE-BUILT - 2010-12-10 Fan) # Create the uniGene alignments # Download of the latest UniGene version is now automated by a # cron job -- see /cluster/home/angie/crontab , # /cluster/home/angie/unigeneVers/unigene.csh . ssh hgwdev mkdir -p /hive/data/genomes/hg19/bed/uniGene/101210 cd /hive/data/genomes/hg19/bed/uniGene/101210 set Version = 228 zcat /hive/data/outside/uniGene/uniGene.$Version/Hs.seq.uniq.gz|\ sed -e "s#>.*/ug=#>#; s# /len.*##;" > Hs.seq.uniq.simpleHeader.fa ssh swarm set Version = 228 mkdir -p /hive/data/genomes/hg19/bed/uniGene/101210/run.blat cd /hive/data/genomes/hg19/bed/uniGene/101210/run.blat ls -1 /hive/data/genomes/hg19/nib/*.nib > genome.lst ls -1S \ /hive/data/genomes/hg19/bed/uniGene/101210/Hs.seq.uniq.simpleHeader.fa \ > uniGene.lst cat << '_EOF_' > template.sub #LOOP /cluster/bin/x86_64/blat -repeats=lower -minIdentity=95 ooc=/hive/data/genomes/hg19/11.ooc $(path1) $(path2) {check out line+ psl/$(root1)_$(root2).psl} #ENDLOOP '_EOF_' gensub2 genome.lst uniGene.lst template.sub para.spec para create para.spec mkdir psl para try para check para push #Completed: 93 of 93 jobs #CPU time in finished jobs: 68896s 1148.26m 19.14h 0.80d 0.002 y #IO & Wait Time: 4789s 79.82m 1.33h 0.06d 0.000 y #Average job time: 792s 13.21m 0.22h 0.01d #Longest finished job: 5274s 87.90m 1.47h 0.06d #Submission to last job: 5840s 97.33m 1.62h 0.07d #Estimated complete: 0s 0.00m 0.00h 0.00d pslSort dirs raw.psl tmp psl >& pslSort.log cat raw.psl|\ pslReps -minCover=0.2 -sizeMatters -minAli=0.965 -nearTop=0.002 \ stdin hg19.uniGene.pslReps.psl /dev/null gzip raw.psl ssh hgwdev cd /hive/data/genomes/hg19/bed/uniGene/101210/run.blat hgLoadPsl -table=uniGene_3 hg19 hg19.uniGene.pslReps.psl mkdir -p /gbdb/hg19/uniGene cd /gbdb/hg19/uniGene rm Hs.seq.uniq.simpleHeader.fa ln -s \ /hive/data/genomes/hg19/bed/uniGene/101210/Hs.seq.uniq.simpleHeader.fa \ Hs.seq.uniq.simpleHeader.fa # load the sequence hgLoadSeq -replace hg19 /gbdb/hg19/uniGene/Hs.seq.uniq.simpleHeader.fa ############################################################################## ############################################################################## # GAD View Lift (DONE, Andy 2010-12-12) cd /hive/data/genomes/hg19/bed/hg18MassiveLift mkdir gad cd gad/ echo "select * from gad" | hgsql hg18 | tail -n +2 > hg18.bed liftOver hg18.bed /gbdb/hg18/liftOver/hg18ToHg19.over.chain.gz hg19.{bed,unmapped} hgLoadBed -noBin hg19 gad hg19.bed rm bed.tab wc -l *.bed # 1883 hg18.bed # 1860 hg19.bed grep -i split hg19.unmapped | wc -l #18 grep -i part hg19.unmapped | wc -l #5 for table in gadAll gadList; do hgsqldump hg18 $table | hgsql hg19 done ############################################################################# # EVOFOLD (Done, 2010-12-13) - Galt using Jakob's procedure from hg18.txt. # RNA secondary structure predictions lifted from hg17 and filtered ssh -C hgwdev mkdir -p /cluster/data/hg19/bed/evofold cd /cluster/data/hg19/bed/evofold echo "select chrom, chromStart, chromEnd, name, score, strand, size, secStr, conf from evofold;" | hgsql hg17 | sed -e 1d > foldsHg17.bed liftOver -bedPlus=6 -minMatch=1.0 foldsHg17.bed /cluster/data/hg17/bed/liftOver/hg17ToHg19.over.chain.gz tmp.bed unmapped.bed # remove elements which are wrong size after lifting awk '$3-$2 == $7' tmp.bed | sort -k4,4 > rawFoldsHg19.bed # structure filters # first, remove pairs that can't form in human cut -f 1-6 rawFoldsHg19.bed > tmp.bed # sequenceForBed can be found and compiled from here: $HOME/kent/src/hg/altSplice/altSplice/ nice sequenceForBed -db=hg19 -bedIn=tmp.bed -fastaOut=tmp.fa cat tmp.fa | sed -e 's/\.[+-]\.chr.*$//' \ | sed -e '/^>/s/$/\t/' | tr -d '\n' | sed -e 's/>/\n/g' | sed -e '1d' -e '$s/$/\n/' | sort -k1,1 > foldsHg19Seq.tab # Several python scripts were originally in /cluster/home/jsp/scripts/ # I copied them to this directory and # I removed the optional "psyco" speedup library which does not work with our 64-bit python join -1 4 -2 1 -o "1.4 1.8 2.2" rawFoldsHg19.bed foldsHg19Seq.tab | sed -e 's/ */\t/g' | sort -k1,1 \ | ./tabFoldFilter.py > cleanFolds.tab join -1 4 -2 1 -o "1.1 1.2 1.3 1.4 1.5 1.6 1.7 2.2 1.9" rawFoldsHg19.bed cleanFolds.tab | sed -e 's/ */\t/g' > tmp1.bed # second, remove poor predictions # scripts can be found in cvs tree at: cvsroot/jsp/scripts/. They use a few modules which can be found at: cvsroot/jsp/py_modules cat tmp1.bed | ./bedRnassFilter.py --dangling --minAvrStemSize=3 | ./bedRnassFilter.sh 1 3 \ | ./roundListFloats.py -c9 > foldsHg19.bed # clean up rm tmp.bed tmp1.bed foldsHg17.bed foldsHg19Seq.tab rawFoldsHg19.bed tmp.fa cleanFolds.tab # upload hgLoadBed -notItemRgb -sqlTable=$HOME/kent/src/hg/lib/evofold.sql hg19 evofold foldsHg19.bed ############################################################################# # CREATE .PNG PICTURE FILES OF EVOFOLD RNA STRUCTURES. (DONE, 4/29/2011, Fan) ssh hgwdev mkdir /hive/data/genomes/hg19/bed/evofold/doEvoFold cd /hive/data/genomes/hg19/bed/evofold/doEvoFold # Creaet sub-directories to store .png files (total of about 47.5 K of them) sparated by chromosomes. mkdir -p evoFold/chr1 mkdir -p evoFold/chr10 mkdir -p evoFold/chr11 mkdir -p evoFold/chr12 mkdir -p evoFold/chr13 mkdir -p evoFold/chr14 mkdir -p evoFold/chr15 mkdir -p evoFold/chr16 mkdir -p evoFold/chr17 mkdir -p evoFold/chr18 mkdir -p evoFold/chr19 mkdir -p evoFold/chr2 mkdir -p evoFold/chr20 mkdir -p evoFold/chr21 mkdir -p evoFold/chr22 mkdir -p evoFold/chr3 mkdir -p evoFold/chr4 mkdir -p evoFold/chr5 mkdir -p evoFold/chr6 mkdir -p evoFold/chr7 mkdir -p evoFold/chr8 mkdir -p evoFold/chr9 mkdir -p evoFold/chrM mkdir -p evoFold/chrX mkdir -p evoFold/chrY # get latest verion of the .jar file of VARNA wget --timestamping http://varna.lri.fr/bin/VARNAv3-7.jar # Create Java command line files echo 'doEvoFold hg19 do$1 $1' >do1Chrom chmod +x do1Chrom do1Chrom chr1 do1Chrom chr10 do1Chrom chr11 do1Chrom chr12 do1Chrom chr13 do1Chrom chr14 do1Chrom chr15 do1Chrom chr16 do1Chrom chr17 do1Chrom chr18 do1Chrom chr19 do1Chrom chr2 do1Chrom chr20 do1Chrom chr21 do1Chrom chr22 do1Chrom chr3 do1Chrom chr4 do1Chrom chr5 do1Chrom chr6 do1Chrom chr7 do1Chrom chr8 do1Chrom chr9 do1Chrom chrM do1Chrom chrX do1Chrom chrY # run the dochrXX command files in small batches with '&' to exploit multiple CPU # wait an hour for each batch to finish so that we don't suck in too much computational resources. dochr1 & dochr2 & dochr3 & dochr4 & dochr5 & sleep 3600 dochr6 & dochr7 & dochr8 & dochr9 & dochr10 & sleep 3600 dochr11 & dochr12 & dochr13 & dochr14 & dochr15 & sleep 3600 dochr16 & dochr17 & dochr18 & dochr19 & dochr20 & sleep 3600 dochr21 & dochr22 & dochrX & dochrY & dochrM & # check the resulting .png files # create a simple script file, check1, with the following 3 lines: echo $1 hgsql hg19 -N -e "select count(*) from evofold where chrom='${1}'" ls evoFold/$1/*.png|wc chmod +x check1 # create another script file, checkAll, with the following lines: check1 chr1 check1 chr10 check1 chr11 check1 chr12 check1 chr13 check1 chr14 check1 chr15 check1 chr16 check1 chr17 check1 chr18 check1 chr19 check1 chr2 check1 chr20 check1 chr21 check1 chr22 check1 chr3 check1 chr4 check1 chr5 check1 chr6 check1 chr7 check1 chr8 check1 chr9 check1 chrM check1 chrX check1 chrY chmod +x checkAll checkAll >j.check # examing the resuls in j.check to make sure things are OK. # create symbolic links ln -s /hive/data/genomes/hg19/bed/evofold/doEvoFold/evoFold /gbdb/hg19/evoFold ln -s /gbdb/hg19/evoFold /usr/local/apache/htdocs/evoFold/hg19 ########################################################################## # Build targetScanS track - (DONE - 2010-12-13 galt) # requested by: George Bell gbell at wi.mit.edu ssh hgwdev mkdir -p /cluster/data/hg19/bed/targetScanS cd /cluster/data/hg19/bed/targetScanS wget --timestamping http://www.targetscan.org/vert_50/ucsc/hg19/hg19Cons_ALL_CHRS.BED hgLoadBed hg19 targetScanS hg19Cons_ALL_CHRS.BED # Loaded 54199 elements of size 6 featureBits hg19 targetScanS # 354163 bases of 2897316137 (0.012%) in intersection # Create/edit/check in targetScans.html and trackDb.ra under # kent/src/hg/makeDb/trackDb/human/hg19 ########################################################################## # Update targetScanS track to Version 7.2 - (DONE 2021-02-03 Brittney & Kate) cd /hive/data/genomes/hg19/bed/targetScanS mkdir vert_72 wget --header="accept-encoding: gzip" http://www.targetscan.org/vert_72/vert_72_data_download/Predicted_Target_Locations.default_predictions.hg19.bed.zip unzip Predicted_Target_Locations.default_predictions.hg19.bed.zip # The downloaded file is a BED12. The score column has values between -1 and 100. # Everything else looks good. # Create a new BED12+1 file with this score value as field 13 and change the score values # to 0 in column 5. awk 'OFS="\t" {c=$5; $5="0"; print $0, c}' \ < Predicted_Target_Locations.default_predictions.hg19.bed > bed12+1_targetScanSitesV72.bed # copy "bedDetail.as" from ~/kent/src/hg/lib and rename to targetScanS.as and edit to # match our new BED12+1 file. cp ~/kent/src/hg/lib/bedDetail.as . mv bedDetail.as targetScanS.as bedToBigBed -type=bed12+1 -as=targetScanS.as bed12+1_targetScanSitesV72.bed \ ../../../chrom.sizes targetScanSitesV72.bb # Link bigBed file into /gbdb directory for access by browser cd /gbdb/hg19 mkdir targetScan cd targetScan ln -s /hive/data/genomes/hg19/bed/targetScanS/vert_72/targetScanSitesV72.bb . ########################################################################## # Neandertal tracks for hg19 (DONE - 2010-12-14 - Hiram) # data supplied by Ed Green into /hive/data/outside/homNea/hg19 # add Neandertal group to hg19 grp hgsql hg19 -e \ "insert into grp values ('neandertal', 'Neandertal Assembly and Analysis', 6.5, 1);" mkdir -p /hive/data/genomes/hg19/bed/homNea/seqAlis cd /hive/data/genomes/hg19/bed/homNea/seqAlis for T in Feld1 Mez1 Sid1253 Vi33.16 Vi33.25 Vi33.26 do ln -s /hive/data/outside/homNea/hg19/${T}.hg18.bam \ ./SL${T}.hg19.bam done ln -s /hive/data/outside/homNea/hg19/*.bam . for F in *.bam do samtools index $F done mkdir -p /gbdb/hg19/neandertal/seqAlis ln -s `pwd`/SL*.b* /gbdb/hg19/neandertal/seqAlis/ for T in Feld1 Mez1 Sid1253 do hgBbiDbLink hg19 bamSL${T} \ /gbdb/hg19/neandertal/seqAlis/SL${T}.hg19.bam done for T in 16 25 26 do hgBbiDbLink hg19 bamSLVi33dot${T} \ /gbdb/hg19/neandertal/seqAlis/SLVi33.${T}.hg19.bam done ########################################################################## # DECIPHER, RGD QTL, RGD RAT QTL (MAYBE DONE, Andy 2010-12-13) cd /hive/data/genomes/hg19/bed/hg18MassiveLift mkdir decipher rgdQtl rgdRatQtl for tab in decipher rgdQtl rgdRatQtl; do echo "select * from "$tab | hgsql hg18 | tail -n +2 | cut -f2- > ${tab}/hg18.bed liftOver ${tab}/hg18.bed /gbdb/hg18/liftOver/hg18ToHg19.over.chain.gz ${tab}/hg19.{bed,unmapped} hgLoadBed hg19 $tab ${tab}/hg19.bed done rm bed.tab wc -l {decipher,rgdQtl,rgdRatQtl}/hg1{8,9}.bed # 4227 decipher/hg18.bed # 4048 decipher/hg19.bed # 254 rgdQtl/hg18.bed # 225 rgdQtl/hg19.bed # 6033 rgdRatQtl/hg18.bed # 5804 rgdRatQtl/hg19.bed ## This isn't very good. In each case, the unmapped % is over 2%. ## DECIPHER: 95.8%, RGD QTL: 88.6%, RGD RAT QTL: 96.2% ## update for rgdQtl: hgsqldump hg18 rgdQtlLink | hgsql hg19 hgsqldump hg18 rgdRatQtlLink | hgsql hg19 ############################################################################# # FISH CLONES LIFT (DONE, Andy 2010-12-14) cd /hive/data/genomes/hg19/bed/hg18MassiveLift mkdir fishClones cd fishClones/ echo "select * from fishClones" | hgsql hg18 | tail -n +2 > hg18.bed5p liftOver -bedPlus=5 hg18.bed5p /gbdb/hg18/liftOver/hg18ToHg19.over.chain.gz hg19.bed5p hg19.unmapped wc -l *.bed5p # 9788 hg18.bed5p # 9758 hg19.bed5p grep -i split hg19.unmapped | wc -l # 17 grep -i partially hg19.unmapped | wc -l # 13 cp ~/kent/src/hg/lib/fishClones.sql . hgLoadBed -tab -sqlTable=fishClones.sql -notItemRgb hg19 fishClones hg19.bed5p ############################################################################# # CGAP SAGE LIFT (DONE, Galt 2010-12-16) cd /hive/data/genomes/hg19/bed/hg18MassiveLift mkdir cgapSage cd cgapSage echo "select * from cgapSage" | hgsql hg18 -N > hg18.bed8p liftOver -tab -bedPlus=8 -hasBin hg18.bed8p /gbdb/hg18/liftOver/hg18ToHg19.over.chain.gz hg19.bed8p hg19.unmapped wc -l *.bed8p # 276905 hg18.bed8p # 276865 hg19.bed8p grep -i split hg19.unmapped | wc -l # 0 grep -i partially hg19.unmapped | wc -l # 3 cp ~/kent/src/hg/lib/cgapSage/cgapSage.sql . hgLoadBed -tab -hasBin -sqlTable=cgapSage.sql -notItemRgb hg19 cgapSage hg19.bed8p # no lift needed for the lib table echo "select * from cgapSageLib" | hgsql hg18 -N > cgapSageLib.tab cp ~/kent/src/hg/lib/cgapSage/cgapSageLib.sql . hgLoadSqlTab hg19 cgapSageLib cgapSageLib.sql cgapSageLib.tab ############################################################################# # LASTZ Zebrafish DanRer7 (DONE - 2010-12-17 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzDanRer7.2010-12-17 cd /hive/data/genomes/hg19/bed/lastzDanRer7.2010-12-17 cat << '_EOF_' > DEF # human vs X. zebrafish BLASTZ_H=2000 BLASTZ_Y=3400 BLASTZ_L=6000 BLASTZ_K=2200 BLASTZ_Q=/scratch/data/blastz/HoxD55.q # TARGET: Human hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Zebrafish danRer7 SEQ2_DIR=/scratch/data/danRer7/danRer7.2bit SEQ2_LEN=/scratch/data/danRer7/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=40 BASE=/hive/data/genomes/hg19/bed/lastzDanRer7.2010-12-17 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # establish a screen to control this job screen time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ > do.log 2>&1 & # Elapsed time: 1698m29s cat fb.hg19.chainDanRer7Link.txt # 80849592 bases of 2897316137 (2.790%) in intersection # running the swap mkdir /hive/data/genomes/danRer7/bed/blastz.hg19.swap cd /hive/data/genomes/danRer7/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzDanRer7.2010-12-17/DEF \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ -swap > swap.log 2>&1 & # real 42m52.920s cat fb.danRer7.chainHg19Link.txt # 86716552 bases of 1409770109 (6.151%) in intersection ############################################################################## # UMass Med School brain histone ChIP-seq # (DONE - 2010-12-17 - Kate) # # From Troy Whitfield, submitting for Zhiping Weng, collab with Akbarian # Published in PNAS, April 2010 # Variables: cell, sample, sex, age # Tissue: Prefrontal cortex (PFC) # # 11 individuals, age .5 to 69 years # 13 bigWigs of H3K4me3 enrichment: 11 neuronal, 2 non-neuronal # 3 peaks files (bed5FloatScore) # Neuronal cells selected by FACS sorting, based on NeuN marker (NeuN+) # Non-neuronal (NeuN-) cells are largely glia, microglia, and endothelium # 3 peak files # Note: used publicly available blood cell (lymphocyte) # ChIP-seq as controls: # K562, GM12878 (from Bernstein ENCODE group), CD4+ (from Barski, HLB) cd /hive/data/genomes/hg19/bed mkdir uMassBrainHistone cd uMassBrainHistone wget http://zlab.umassmed.edu/~whitfiet/hg19/uMassBrainHist.tar.gz tar xvfz uMassBrainHist.tar.gz cd data set t = "uMassBrainHistone" # Load peak tracks # peaks in neuron not in blood hgLoadBed hg19 -noNameIx -renameSqlTable \ -sqlTable=/cluster/bin/sqlCreate/bed5FloatScore.sql \ ${t}PeaksNeuron 11Neuronal_vs_3Blood_hg19.bed # Loaded 7947 elements of size 6 # peaks in infants (<1 year), not in seniors (>60) hgLoadBed hg19 -noNameIx -renameSqlTable \ -sqlTable=/cluster/bin/sqlCreate/bed5FloatScore.sql \ ${t}PeaksInfant 3Young_vs3Old_hg19.bed # Loaded 1292 elements of size 6 # peaks specific to individuals hgLoadBed hg19 -noNameIx -renameSqlTable \ -sqlTable=/cluster/bin/sqlCreate/bed5FloatScore.sql \ ${t}PeaksSample SampleSpecific_hg19.bed # Loaded 3214 elements of size 6 # Load signal tracks # Get metadata from .ddf file cd .. cat uMassMedBrainHist.ddf #files view sample cell sex age #data/s6.bw Signal 6 neuron male 4.7 #data/s6n.bw Signal 6 non-neuron male 4.7 #data/s2.bw Signal 2 neuron male 0.58 #data/s3.bw Signal 3 neuron female 0.75 #data/s1.bw Signal 1 neuron male 0.5 #data/s9.bw Signal 9 neuron female 68 #data/s5.bw Signal 5 neuron female 2.8 #data/s11.bw Signal 11 neuron female 69 #data/s11n.bw Signal 11 non-neuron female 69 #data/s7.bw Signal 7 neuron male 8.8 #data/s8.bw Signal 8 neuron male 14 #data/s10.bw Signal 10 neuron female 69 #data/s4.bw Signal 4 neuron male 1.3 #data/11Neuronal_vs_3Blood_hg19.bed Peaks N/A N/A N/A N/A #data/3Young_vs3Old_hg19.bed Peaks N/A N/A N/A N/ #data/SampleSpecific_hg19.bed Peaks N/A N/A N/A N/A # Generate table names from DDF # Format: uMassBrainHistoneSignalS<sample>Neu<P|M><age>yrs<M|F> # e.g. uMassBrainHistoneSignalS1185Neu4pt7yrsM grep Signal uMassMedBrainHist.ddf | \ cat << 'EOF' > list.pl while (<>) { ($file, $view, $sample, $cell, $sex, $age) = split; next unless $view eq 'Signal'; $cell = ($cell eq 'neuron' ? 'P' : 'M'); $age =~ s/\./pt/; $sex = ($sex eq 'male' ? 'M' : 'F'); $table = "uMassBrainHistoneSignalS" . $sample . "Neu" . $cell . $age . "yrs" . $sex; print $file . "." . $table . "\n"; } 'EOF' cat << 'EOF' > load.csh set gbdb = "/gbdb/hg19/bbi/uMassBrainHistone" foreach x (`perl list.pl < uMassMedBrainHist.ddf`) set f = $x:r set t = $x:e echo "Loading $f into $t" bigWigInfo $f ln -s `pwd`/$f $gbdb/$t.bw hgBbiDbLink hg19 $t $gbdb/$t.bw end 'EOF' csh load.csh >&! load.out & ############################################################################# # SwitchDB TSS Track (DONE 2010-12-17 galt) # # This liftover is tricky because of the gmStart and gmEnd, which # are not lifted automatically. # The gm coordinates have to be lifted separately. ssh hgwdev mkdir /cluster/data/hg19/bed/switchDbTss cd /cluster/data/hg19/bed/switchDbTss ln -s /cluster/data/hg17/bed/switchDbTss/hg17.bed hg17.bed liftOver -tab -bedPlus=6 hg17.bed /gbdb/hg17/liftOver/hg17ToHg19.over.chain.gz hg19.bed unMapped cat unMapped | grep '^#' | sort | uniq -c # 61 #Deleted in new ln -s ~/kent/src/hg/lib/switchDbTss.sql hgLoadBed -renameSqlTable -sqlTable=switchDbTss.sql hg19 switchDbTssTemp hg19.bed mysql> select count(*) from switchDbTssTemp; +----------+ | count(*) | +----------+ | 132332 | +----------+ hgsql -N hg19 -e "select distinct chrom, gmChromStart, gmChromEnd, gmName from switchDbTssTemp" > gmLoc.hg17.bed4 liftOver -tab -bedPlus=4 gmLoc.hg17.bed4 /gbdb/hg17/liftOver/hg17ToHg19.over.chain.gz gmLoc.hg19.bed4 gmUnMapped cat gmUnMapped | grep '^#' | sort | uniq -c # 1 #Deleted in new # 58 #Partially deleted in new # 57 #Split in new hgLoadBed hg19 switchDbTssGmLocTemp gmLoc.hg19.bed4 hgsql hg19 < switchDbTss.sql hgsql hg19 -e "insert into switchDbTss select a.bin, a.chrom, a.chromStart, a.chromEnd, a.name, a.score, a.strand, a.confScore, a.gmName, b.chromStart as gmChromStart, b.chromEnd as gmChromEnd, a.isPseudo from switchDbTssTemp a, switchDbTssGmLocTemp b where a.gmName = b.name" mysql> select count(*) from switchDbTss; +----------+ | count(*) | +----------+ | 131780 | +----------+ hgsql hg19 -e "drop table switchDbTssTemp" hgsql hg19 -e "drop table switchDbTssGmLocTemp" ############################################################################# ############################################################################# # FOSMID END PAIRS LIFT FROM HG18 (DONE 2010-12-28, Andy) mkdir /hive/data/genomes/hg19/bed/hg18MassiveLift/fosEndPairs cd /hive/data/genomes/hg19/bed/hg18MassiveLift/fosEndPairs/ echo "select * from fosEndPairs" | hgsql hg18 | tail -n +2 | cut -f2- > hg18.fosEndPairs.fep.bed echo "select * from all_fosends" | hgsql hg18 | tail -n +2 | cut -f2- > hg18.all_fosends.psl # Converting to bed 12 because of the positional info in nonstandard fields. # the awk script is pretty simple and is in the directory. awk -f toBed12.awk hg18.fosEndPairs.fep.bed > hg18.fosEndPairs.bed12 liftOver -bedPlus=12 hg18.fosEndPairs.bed12 /gbdb/hg18/liftOver/hg18ToHg19.over.chain.gz hg19.fosEndPairs.{bed12,unmapped12} liftOver -pslT hg18.all_fosends.psl /gbdb/hg18/liftOver/hg18ToHg19.over.chain.gz hg19.{psl,unmapped} # remove pairs which have one (or both) ends not in the lifted set of all ends cut -f14 hg19.fosEndPairs.bed12 | tr ',' '\n' | sort > hg19.fosEndPairs.names cut -f10 hg19.all_fosends.psl | sort > hg19.all_fosends.names grep -Fxv -f hg19.all_fosends.names hg19.fosEndPairs.names > bad.names grep -Fv -f bad.names hg19.fosEndPairs.bed12 > hg19.fosEndPairs.good.bed12 wc -l hg19*.bed12 # 384635 hg19.fosEndPairs.bed12 # 384442 hg19.fosEndPairs.good.bed12 ## so... 193 bad ones were removed. These would have caused join errors if they were left in. ## convert back to fosEndPairs bed6+ awk -f toFosEndPairs.awk hg19.fosEndPairs.good.bed12 > hg19.fosEndPairs.fep.bed cp ~/kent/src/hg/lib/fosEndPairs.sql . hgLoadBed -sqlTable=fosEndPairs.sql -notItemRgb hg19 fosEndPairs hg19.fosEndPairs.fep.bed hgLoadPsl -table=all_fosends hg19 hg19.all_fosends.psl wc -l *.fep.bed # 386129 hg18.fosEndPairs.fep.bed # 384442 hg19.fosEndPairs.fep.bed ## 99.6% lifted ## Now we need the sequences from all_fosends to be loaded into the seq table in hg19 mkdir /gbdb/hg19/fosends ln -s /gbdb/hg18/fosends/fosEnds.fa /gbdb/hg19/fosEnds.fromHg18.fa hgLoadSeq hg19 /gbdb/hg19/fosends/fosEnds.fromHg18.fa ############################################################################# # DECIPHER LIFT FROM HG18 (DONE 2010-12-27, Andy) cd /hive/data/genomes/hg19/bed/hg18MassiveLift/ mkdir decipher cd decipher/ hgsql -e "select * from decipherRaw" hg18 | tail -n +2 > hg18.decipherRaw.txt cat hg18.decipherRaw.txt | awk 'BEGIN{FS="\t";OFS="\t"}{ chr="chr"$4; $4=$1; $1=chr; $2 = $2 - 1; print;}' | liftOver -bedPlus=4 -tab stdin /gbdb/hg18/liftOver/hg18ToHg19.over.chain.gz stdout hg19.decipherRaw.unmapped | sed 's/^chr//' | awk 'BEGIN{FS="\t";OFS="\t"}{ t=$1; $1=$4; $4=t; print;}' > hg19.decipherRaw.txt cp ~/kent/src/hg/lib/decipherRaw.sql . hgLoadSqlTab hg19 decipherRaw decipherRaw.sql hg19.decipherRaw.txt hgsql -e "select * from decipher" hg18 | tail -n +2 | cut -f2- > hg18.decipher.bed liftOver hg18.decipher.bed /gbdb/hg18/liftOver/hg18ToHg19.over.chain.gz hg19.decipher.{bed,unmapped} cut -f1 hg19.decipherRaw.txt > hg19.decipherRaw.names cut -f4 hg19.decipher.bed > hg19.decipher.names # how many of the lifted deciphers are not in the lifted decipherRaws? grep -Fvx -f hg19.decipher.names hg19.decipherRaw.names | wc -l #0 # none. ok then, we are done. rm *.names wc -l *.bed # 4227 hg18.decipher.bed # 4048 hg19.decipher.bed hgLoadBed hg19 decipher hg19.decipher.bed ############################################################################# # CLONE COVERAGE LIFT FROM HG18 (DONE 2010-12-29, Andy) cd /hive/data/genomes/hg19/bed/hg18MassiveLift/ mkdir clonePos cd clonePos/ hgsql --skip-column-names -e "select * from clonePos" hg18 | awk 'BEGIN{FS="\t"; OFS="\t";}{print $4, $5, $6, $1, $2, $3, $7, $8;}' > hg18.clonePos.bed4p liftOver -tab -bedPlus=4 hg18.clonePos.bed4p /gbdb/hg18/liftOver/hg18ToHg19.over.chain.gz hg19.clonePos.{bed4p,unmapped} awk 'BEGIN{FS="\t"; OFS="\t";}{print $4, $5, $6, $1, $2, $3, $7, $8;}' hg19.clonePos.bed4p > hg19.clonePos.txt hgLoadSqlTab hg19 clonePos clonePos.sql hg19.clonePos.txt ## it loaded but there seems to be a dependency on the "chr*_gl" tables. sigh.. mkdir gl cd gl/ echo "show tables like 'chr%_gl'" | hgsql hg18 | tail -n +2 | while read table; do echo "select * from "$table | hgsql hg18 | tail -n +2 | cut -f2- | awk -v chr=${table%_gl} 'BEGIN{OFS="\t"}{print chr, $2, $3, $1, "1000", $4;}'; done > hg18.gl.bed liftOver hg18.gl.bed /gbdb/hg18/liftOver/hg18ToHg19.over.chain.gz hg19.gl.{bed,unmapped} hgLoadBed -noLoad hg19 gl hg19.gl.bed mv bed.tab hg19.gl.withBin.bed awk 'BEGIN{OFS="\t";}{fname=$2"_gl.txt"; print $1, $5, $3, $4, $7 >> fname;}' hg19.gl.withBin.bed cd ../ for tab in `echo show tables like "'chr%_gl'" | hgsql hg19 | tail -n +2`; do echo select frag from $tab | hgsql hg19 | tail -n +2 >> gl.names; done sed 's/_.*//' gl.names | sort | uniq > uniq.gl.names cut -f4 hg19.clonePos.bed4p > hg19.clonePos.names diff uniq.gl.names hg19.clonePos.names | grep '<' | sed 's/< //' > bad_gl.names for f in chr*.txt; do tab=${f%.txt} grep -v -f ../bad_gl.names $f > ${tab}.update.txt hgLoadSqlTab hg19 ${tab} hg18.chr1_gl.sql ${tab}.update.txt; done ############################################################################# # MGI MOUSE QTL LIFT (DONE 2010-12-30, Andy) cd /hive/data/genomes/hg19/bed/hg18MassiveLift mkdir mgiMouseQtl cd mgiMouseQtl/ ## There are two subtracks to deal with but it's not a big deal. ## Both are bed4. for tab in jaxQtlAsIs jaxQtlPadded; do hgsql hg18 --skip-column-names -e "select chrom,chromStart,chromEnd,name from "$tab > hg18.${tab}.bed liftOver hg18.${tab}.bed /gbdb/hg18/liftOver/hg18ToHg19.over.chain.gz hg19.${tab}.{bed,unmapped} hgLoadBed hg19 $tab hg19.${tab}.bed done wc -l *.bed # 398 hg18.jaxQtlAsIs.bed # 1463 hg18.jaxQtlPadded.bed # 383 hg19.jaxQtlAsIs.bed # 1462 hg19.jaxQtlPadded.bed ## 96.2% for jaxQtlAsIs, 99.9% for jaxQtlPadded. ############################################################################# # H-INV LIFT (DONE 2010-12-30, Andy) cd /hive/data/genomes/hg19/bed/hg18MassiveLift mkdir HInv cd HInv/ hgsql hg18 --skip-column-names -e "select * from HInvGeneMrna" | cut -f2- > hg18.HInvGeneMrna.psl liftOver -pslT hg18.HInvGeneMrna.psl /gbdb/hg18/liftOver/hg18ToHg19.over.chain.gz hg19.HInvGeneMrna.{psl,unmapped} hgLoadPsl -table=HInvGeneMrna hg19 hg19.HInvGeneMrna.psl ## A couple non-positional tables too: hgsqldump hg18 ensToHInv | hgsql hg19 hgsqldump hg18 HInv | hgsql hg19 ############################################################################# # SIB ALT-SPLICING LIFT (DONE 2010-12-30, Andy) # Note: # Obsolete. See the section "SIB Transcriptome (DONE 2011-12-02 Chin)" # down below and redmine track #5630 for more details cd /hive/data/genomes/hg19/bed/hg18MassiveLift mkdir sibTxGraph cd sibTxGraph/ ## there is positional data in the 9th column, so I'll convert it to a bed12+ ## and back to the native format later. Again, the awk scripts to do that ## are aptly named, and reside in the hg19 directory with the data. hgsql hg18 --skip-column-names -e "select * from sibTxGraph" | cut -f2- | awk -f toBed12Plus.awk > hg18.sibTxGraph.bed12p liftOver -tab -bedPlus=12 hg18.sibTxGraph.bed12p /gbdb/hg18/liftOver/hg18ToHg19.over.chain.gz hg19.sibTxGraph.{bed12p,unmapped} awk -f toSib.awk hg19.sibTxGraph.bed12p > hg19.sibTxGraph.txt cut -f1-3 hg19.sibTxGraph.bed12p > hg19.sibTxGraph.bed3 hgLoadBed -noLoad hg19 sibTxGraph hg19.sibTxGraph.bed3 cut -f1 bed.tab > hg19.sibTxGraph.bins paste hg19.sibTxGraph.bins hg19.sibTxGraph.txt > hg19.sibTxGraph.withBin.txt ## Oddly, there's no .sql file for this in the kent source-tree, so I'll ## make one directly from hg18 that's suitable for hgLoadSqlTab hgsqldump --no-data --compact hg18 sibTxGraph | sed '/^SET/d;s/ENGINE.*//' > sibTxGraph.sql hgLoadSqlTab hg19 sibTxGraph sibTxGraph.sql hg19.sibTxGraph.withBin.txt wc -l *.bed12p # 47094 hg18.sibTxGraph.bed12p # 47008 hg19.sibTxGraph.bed12p ## 99.8% lifted, not bad. ############################################################################# # ILLUMINA WG-6 LIFT TO HG19 (DONE 2010-12-30, Andy) cd /hive/data/genomes/hg19/bed/hg18MassiveLift mkdir illuminaProbes cd illuminaProbes/ ## Just copy the seq table to hg19 hgsqldump hg18 illuminaProbesSeq | hgsql hg19 ## Two tables: a PSL and a BED: hgsql hg18 --skip-column-names -e "select * from illuminaProbes" | cut -f2- > hg18.illuminaProbes.bed hgsql hg18 --skip-column-names -e "select * from illuminaProbesAlign" | cut -f2- > hg18.illuminaProbesAlign.psl liftOver hg18.illuminaProbes.bed /gbdb/hg18/liftOver/hg18ToHg19.over.chain.gz hg19.illuminaProbes.{bed,unmapped} liftOver -pslT hg18.illuminaProbesAlign.psl /gbdb/hg18/liftOver/hg18ToHg19.over.chain.gz hg19.illuminaProbesAlign.{psl,unmapped} hgLoadBed hg19 illuminaProbes hg19.illuminaProbes.bed hgLoadPsl -table=illuminaProbesAlign hg19 hg19.illuminaProbesAlign.psl ## Just to check the probes and align tables are essentially the same cut -f4 hg19.illuminaProbes.bed | sort > hg19.illuminaProbes.names cut -f10 hg19.illuminaProbesAlign.psl | sort > hg19.illuminaProbesAlign.names diff *.names #(no output) wc -l *.bed *.psl # 44163 hg18.illuminaProbes.bed # 44088 hg19.illuminaProbes.bed # 44163 hg18.illuminaProbesAlign.psl # 44088 hg19.illuminaProbesAlign.psl ## 99.8% lifted ############################################################################# # EIO/JCVI NAS LIFT TO HG19 (DONE 2010-12-30, Andy) cd /hive/data/genomes/hg19/bed/hg18MassiveLift mkdir eioJcviNAS cd eioJcviNAS/ for tab in eioJcviNASNeg eioJcviNASPos; do hgsql hg18 --skip-column-names -e "select * from "$tab > hg18.${tab}.bed liftOver hg18.${tab}.bed /gbdb/hg18/liftOver/hg18ToHg19.over.chain.gz hg19.${tab}.{bed,unmapped} hgLoadBed hg19 ${tab} hg19.${tab}.bed done wc -l *.bed # 338278 hg18.eioJcviNASNeg.bed # 130535 hg18.eioJcviNASPos.bed # 338238 hg19.eioJcviNASNeg.bed # 130504 hg19.eioJcviNASPos.bed ## > 99.9% of items lifted in both tables: pretty good. ## One strange thing about this one is that the hg18 tables don't have a bin ## field. I doubt it's important to keep it that way. ############################################################################# # ORegAnno LIFT TO HG19 (DONE 2010-12-31, Andy) cd /hive/data/genomes/hg19/bed/hg18MassiveLift mkdir oreganno cd oreganno hgsql hg18 --skip-column-names -e "select * from oreganno" | cut -f2- > hg18.oreganno.bed3p liftOver -bedPlus=3 -tab hg18.oreganno.bed3p /gbdb/hg18/liftOver/hg18ToHg19.over.chain.gz hg19.oreganno.{bed3p,unmapped} cp ~/kent/src/hg/lib/oreganno.sql . hgLoadBed -tab -sqlTable=oreganno.sql hg19 oreganno hg19.oreganno.bed3p hgsqldump hg18 oregannoLink | hgsql hg19 hgsqldump hg18 oregannoAttr | hgsql hg19 wc -l *.bed3p # 23130 hg18.oreganno.bed3p # 23118 hg19.oreganno.bed3p ## 99.9% lifted. # 2013-11-07 eliminate some names from Attr that are not in primary table # as identified by joinerCheck: joinerCheck -database=hg19 -identifier=oregId -keys all.joiner Checking keys on database hg19 hg19.oregannoAttr.id - hits 93587 of 93635 (99.949%) Error: 48 of 93635 elements (0.051%) of hg19.oregannoAttr.id are not in key oreganno.id line 3550 of all.joiner Example miss: OREG0009903 hg19.oregannoLink.id - hits 70670 of 70706 (99.949%) Error: 36 of 70706 elements (0.051%) of hg19.oregannoLink.id are not in key oreganno.id line 3551 of all.joiner Example miss: OREG0009903 # Example miss: OREG0029365 sacCer3.oregannoLink.id - hits 21886 of 21895 # Error: 9 of 21895 elements of sacCer3.oregannoLink.id are not in key oreganno.id line 2872 of all.joiner # Example miss: OREG0029365 cd /hive/data/genomes/hg19/bed/hg18MassiveLift/oreganno hgsql -N -e "select id from oregannoAttr;" hg19 \ | sort -u > oregannoAttr.id.txt hgsql -N -e "select id from oreganno;" hg19 \ | sort -u > oreganno.id.txt comm -13 oreganno.id.txt oregannoAttr.id.txt # OREG0009903 # OREG0009904 # OREG0009905 # OREG0018375 # OREG0018376 # OREG0018390 # OREG0018391 # OREG0018392 # OREG0018393 # OREG0018394 # OREG0024661 # OREG0026761 comm -13 oreganno.id.txt oregannoAttr.id.txt | while read id do echo $id hgsql -e "delete from oregannoAttr where id=\"${id}\";" hg19 done hgsql -N -e "select id from oregannoLink;" hg19 \ | sort -u > oregannoLink.id.txt comm -13 oreganno.id.txt oregannoLink.id.txt # OREG0009903 # OREG0009904 # OREG0009905 # OREG0018375 # OREG0018376 # OREG0018390 # OREG0018391 # OREG0018392 # OREG0018393 # OREG0018394 # OREG0024661 # OREG0026761 comm -13 oreganno.id.txt oregannoLink.id.txt | while read id do echo $id hgsql -e "delete from oregannoLink where id=\"${id}\";" hg19 done # joinerCheck is now clean: joinerCheck -database=hg19 -identifier=oregId -keys all.joiner Checking keys on database hg19 hg19.oregannoAttr.id - hits 93587 of 93587 (100.000%) ok hg19.oregannoLink.id - hits 70670 of 70670 (100.000%) ok ############################################################################# # NK NUC LAMINA LIFT TO HG19 (DONE 2010-12-31, Andy) cd /hive/data/genomes/hg19/bed/hg18MassiveLift mkdir laminB1 cd laminB1/ hgsql hg18 --skip-column-names -e "select * from laminB1Lads" | cut -f2- > hg18.laminB1Lads.bed liftOver hg18.laminB1Lads.bed /gbdb/hg18/liftOver/hg18ToHg19.over.chain.gz hg19.laminB1Lads.{bed,unmapped} hgLoadBed hg19 laminB1Lads hg19.laminB1Lads.bed wc -l *.bed # 1344 hg18.laminB1Lads.bed # 1302 hg19.laminB1Lads.bed ## 96.9% lifted... ok, not bad I guess. ln -s /hive/data/genomes/hg18/bed/nuclearLamina/LaminB1_080513.wig hg18.laminB1.customWigVarStep awk -f toBedGraph.awk hg18.laminB1.customWigVarStep > hg18.laminB1.bg liftOver -bedPlus=3 -tab hg18.laminB1.bg /gbdb/hg18/liftOver/hg18ToHg19.over.chain.gz hg19.laminB1.{bg,unmapped} awk '{if ($3 - $2 == 60) print;}' hg19.laminB1.bg | sort -k1,1 -k2,2n | awk 'BEGIN{prev=-100;chrom="";FS="\t";OFS="\t";}{ if ((chrom != $1) || ($2 - prev > 60)) {print; chrom = $1; prev = $2;}}'> hg19.laminB1.span60.bg wigBedToStep hg19.laminB1.span60.bg hg19.laminB1.span60.wigVarStep ln -s hg19.laminB1.span60.wigVarStep laminB1.wig wigEncode laminB1.{wig,wiggle,wib} #Converted laminB1.wig, upper limit 5.68, lower limit -6.60 ln -s `pwd`/laminB1.wib /gbdb/hg19/wib/laminB1.wib hgLoadWiggle hg19 laminB1 laminB1.wiggle wc -l hg18.laminB1.bg hg19.laminB1.span60.bg # 2909178 hg18.laminB1.bg # 2908692 hg19.laminB1.span60.bg ## In total, 99.98% of the datapoints lifted cleanly. ############################################################################# # UCSF BRAIN METHYLATION (DONE 2010-12-31, Andy) cd /hive/data/genomes/hg19/bed/hg18MassiveLift mkdir ucsfBrainMethyl cd ucsfBrainMethyl/ ## 10 tables: ## ## ucsfChipSeqH3K4me3BrainCoverage (bedGraph/bed3+) ## ucsfMreSeqBrainReads (bed9) ## ucsfMreSeqBrainCpG (bedGraph/bed3+) ## ucsfMedipSeqBrainReads (bed9) ## ucsfMedipSeqBrainCpG (bedGraph/bed3+) ## ucsfMedipSeqBrainCoverage (bedGraph/bed3+) ## ucsfRnaSeqBrainAllReads (bed9) ## ucsfRnaSeqBrainAllCoverage (bedGraph/bed3+) ## ucsfRnaSeqBrainSmartReads (bed9) ## ucsfRnaSeqBrainSmartCoverage (bedGraph/bed3+) ## Do the bed9s first: for tab in ucsfMreSeqBrainReads ucsfMedipSeqBrainReads ucsfRnaSeqBrainAllReads ucsfRnaSeqBrainSmartReads; do hgsql hg18 --skip-column-names -e "select * from "$tab | cut -f2- > hg18.${tab}.bed liftOver hg18.${tab}.bed /gbdb/hg18/liftOver/hg18ToHg19.over.chain.gz hg19.${tab}.{bed,unmapped} hgLoadBed hg19 $tab hg19.${tab}.bed wc -l *.${tab}.bed done # 10110644 hg18.ucsfMreSeqBrainReads.bed # 10109979 hg19.ucsfMreSeqBrainReads.bed ## 99.99% lifted # 44130143 hg18.ucsfMedipSeqBrainReads.bed # 44120612 hg19.ucsfMedipSeqBrainReads.bed ## 99.98% lifted # 63033692 hg18.ucsfRnaSeqBrainAllReads.bed # 63031432 hg19.ucsfRnaSeqBrainAllReads.bed # 26767318 hg18.ucsfRnaSeqBrainSmartReads.bed # 26766288 hg19.ucsfRnaSeqBrainSmartReads.bed ## getting old now, we get it... it lifts. for tab in ucsfChipSeqH3K4me3BrainCoverage ucsfMreSeqBrainCpG ucsfMedipSeqBrainCpG ucsfMedipSeqBrainCoverage ucsfRnaSeqBrainAllCoverage ucsfRnaSeqBrainSmartCoverage; do hgsql hg18 --skip-column-names -e "select * from "$tab | cut -f2- > hg18.${tab}.bg liftOver -bedPlus=3 hg18.${tab}.bg /gbdb/hg18/liftOver/hg18ToHg19.over.chain.gz hg19.${tab}.{bg,unmapped} hgLoadBed -bedGraph=4 hg19 $tab hg19.${tab}.bg wc -l *.${tab}.bg done # 2598517 hg18.ucsfChipSeqH3K4me3BrainCoverage.bg # 2598085 hg19.ucsfChipSeqH3K4me3BrainCoverage.bg # 1165599 hg18.ucsfMreSeqBrainCpG.bg # 1165521 hg19.ucsfMreSeqBrainCpG.bg # 20862283 hg18.ucsfMedipSeqBrainCpG.bg # 20859033 hg19.ucsfMedipSeqBrainCpG.bg # 80960101 hg18.ucsfMedipSeqBrainCoverage.bg # 80943454 hg19.ucsfMedipSeqBrainCoverage.bg # 17019268 hg18.ucsfRnaSeqBrainAllCoverage.bg # 17017461 hg19.ucsfRnaSeqBrainAllCoverage.bg # 6141663 hg18.ucsfRnaSeqBrainSmartCoverage.bg # 6140890 hg19.ucsfRnaSeqBrainSmartCoverage.bg ## again in each case, almost all the data in the table lifts. for f in *; do gzip $f; echo $f zipped; done ## One more thing: remove overlapping items in lifted bedGraphs: for f in hg19*.bg.gz; do pre=${f%.bg.gz}; tab=${pre#hg19.}; echo $tab; gunzip -c $f | sort -k1,1 -k2,2n | bedGraphLegalize -report=${pre}.bad.txt stdin stdout | gzip -c > ${pre}.legal.bg.gz hgLoadBed -bedGraph=4 hg19 $tab ${pre}.legal.bg.gz done ############################################################################# # SNP ARRAYS LIFT TO HG19 (DONE 2010-12-31, Andy) cd /hive/data/genomes/hg19/bed/hg18MassiveLift mkdir snpArray cd snpArray/ ## 12 arrays: ## ## snpArrayAffy6 (bed6+, 8 fields) ## snpArrayAffy6SV (bed6) ## snpArrayAffy5 (bed6+, 8 fields) ## snpArrayAffy250Nsp (bed6+, 8 fields) ## snpArrayAffy250Sty (bed6+, 8 fields) ## snpArrayIllumina650 (bed6+, 7 fields) ## snpArrayIllumina550 (bed6+, 7 fields) ## snpArrayIllumina300 (bed6+, 7 fields) ## snpArrayIllumina1M (bed6+, 7 fields) ## snpArrayIlluminaHumanCytoSNP_12 (bed6+, 7 fields) ## snpArrayIlluminaHuman660W_Quad (bed6+, 7 fields) ## snpArrayIlluminaHumanOmni1_Quad (bed6+, 7 fields) ## Get the bed6 one out of the way first: hgsql hg18 --skip-column-names -e "select * from snpArrayAffy6SV" | cut -f2- > hg18.snpArrayAffy6SV.bed liftOver hg18.snpArrayAffy6SV.bed /gbdb/hg18/liftOver/hg18ToHg19.over.chain.gz hg19.snpArrayAffy6SV.{bed,unmapped} hgLoadBed hg19 snpArrayAffy6SV hg19.snpArrayAffy6SV.bed wc -l *.bed # 945805 hg18.snpArrayAffy6SV.bed # 945615 hg19.snpArrayAffy6SV.bed ## The rest each may or may not have their own module in lib ## For simplicity sake, I'll just dump the CREATEs straight from ## hg18 into their own .sql file. for table in snpArrayAffy6 snpArrayAffy5 snpArrayAffy250Nsp snpArrayAffy250Sty snpArrayIllumina650 snpArrayIllumina550 snpArrayIllumina300 snpArrayIllumina1M snpArrayIlluminaHumanCytoSNP_12 snpArrayIlluminaHuman660W_Quad snpArrayIlluminaHumanOmni1_Quad; do hgsql hg18 --skip-column-names -e "select * from "$table | cut -f2- > hg18.${table}.bed6p hgsqldump --no-data --compact hg18 $table | sed '/^SET/d;s/ENGINE.*//' > hg18.${table}.sql liftOver -bedPlus=6 hg18.${table}.bed6p /gbdb/hg18/liftOver/hg18ToHg19.over.chain.gz hg19.${table}.{bed6p,unmapped} hgLoadBed -sqlTable=hg18.${table}.sql -renameSqlTable hg19 $table hg19.${table}.bed6p done for table in snpArrayAffy6 snpArrayAffy5 snpArrayAffy250Nsp snpArrayAffy250Sty snpArrayIllumina650 snpArrayIllumina550 snpArrayIllumina300 snpArrayIllumina1M snpArrayIlluminaHumanCytoSNP_12 snpArrayIlluminaHuman660W_Quad snpArrayIlluminaHumanOmni1_Quad; do hg18=`wc -l hg18.${table}.bed6p | awk '{print $1}'` hg19=`wc -l hg19.${table}.bed6p | awk '{print $1}'` perc=`echo ${hg19}"/"${hg18}" * 100" | R --vanilla | grep "\[1\]" | awk '{print $2}'` printf "%s: %d/%d items lifted (%.3f%%)\n" $table $hg19 $hg18 $perc done # snpArrayAffy6: 909297/909508 items lifted (99.977%) # snpArrayAffy5: 440638/440734 items lifted (99.978%) # snpArrayAffy250Nsp: 257159/257213 items lifted (99.979%) # snpArrayAffy250Sty: 233887/233941 items lifted (99.977%) # snpArrayIllumina650: 660388/660557 items lifted (99.974%) # snpArrayIllumina550: 560972/561122 items lifted (99.973%) # snpArrayIllumina300: 318046/318117 items lifted (99.978%) # snpArrayIllumina1M: 1217520/1219961 items lifted (99.800%) # snpArrayIlluminaHumanCytoSNP_12: 302127/302402 items lifted (99.909%) # snpArrayIlluminaHuman660W_Quad: 664655/665901 items lifted (99.813%) # snpArrayIlluminaHumanOmni1_Quad: 1169872/1175447 items lifted (99.526%) ## Now there's a few "Raw" tables to lift. Convert them to bed3+ first: for tab in `echo show tables like "'snpArray%Raw'" | hgsql hg18 | tail -n +2`; do hgsql hg18 --skip-column-names -e "select * from "$table | awk 'BEGIN{FS="\t";OFS="\t"}{print "chr"$6, $7 - 1, $7, $1, $2, $3, $4, $5}' > hg18.${table}.bed3p liftOver -bedPlus=3 -tab hg18.${table}.bed3p /gbdb/hg18/liftOver/hg18ToHg19.over.chain.gz hg19.${table}.{bed3p,unmapped} awk 'BEGIN{FS="\t";OFS="\t"}{print $4, $5, $6, $7, $8, substr($1, 4), $3;}' hg19.${table}.bed3p > hg19.${table}.txt hgsqldump --no-data --compact hg18 $table | sed '/^SET/d;s/ENGINE.*//' > hg18.${table}.sql hgLoadSqlTab hg19 $table hg18.${table}.sql hg19.${table}.txt done ############################################################################ # HAPMAP SNPS AND HAPMAP LD PHASED LIFTS FROM HG18 (Andy) mkdir /hive/data/genomes/hg19/bed/hg18MassiveLift/hapmapSnps cd /hive/data/genomes/hg19/bed/hg18MassiveLift/hapmapSnps ## All the tables in the trackDb entry seem to be bed 6 + for table in `grep -B1 "parent hapmapSnps" ~/kent/src/hg/makeDb/trackDb/human/trackDb.ra | grep track | sed 's/.*track\ //'`; do echo $table >> tables.txt; done for table in `cat tables.txt`; do hgsql hg18 --skip-column-names -e "select * from "$table | cut -f2- > hg18.${table}.bed6p; liftOver -bedPlus=6 -tab hg18.${table}.bed6p /gbdb/hg18/liftOver/hg18ToHg19.over.chain.gz hg19.${table}.{bed6p,unmapped}; hgsqldump --no-data --compact hg18 $table | sed '/^SET/d;s/ENGINE.*//' > ${table}.sql hgLoadBed -sqlTable=${table}.sql -tab hg19 $table hg19.${table}.bed6p; wc -l hg1{8,9}.${table}.bed6p >> lifts.txt done ## Also need hapmapLd% and hapmapAllelesSummary for table in `hgsql hg18 --skip-column-names -e "show tables like 'hapmapLd%'"` hapmapAllelesSummary; do hgsql hg18 --skip-column-names -e "select * from "$table | cut -f2- > hg18.${table}.bed6p; liftOver -bedPlus=6 -tab hg18.${table}.bed6p /gbdb/hg18/liftOver/hg18ToHg19.over.chain.gz hg19.${table}.{bed6p,unmapped}; hgsqldump --no-data --compact hg18 $table | sed '/^SET/d;s/ENGINE.*//' > ${table}.sql hgLoadBed -sqlTable=${table}.sql -tab hg19 $table hg19.${table}.bed6p; wc -l hg1{8,9}.${table}.bed6p >> lifts.txt done ## Also need hapmapPhaseIIISummary hgsql hg18 --skip-column-names -e "select * from hapmapPhaseIIISummary" | cut -f2- > hg18.hapmapPhaseIIISummary.bed5p liftOver -bedPlus=5 hg18.hapmapPhaseIIISummary.bed5p /gbdb/hg18/liftOver/hg18ToHg19.over.chain.gz hg19.hapmapPhaseIIISummary.{bed5p,unmapped} hgsqldump --no-data --compact hg18 hapmapPhaseIIISummary | sed '/^SET/d;s/ENGINE.*//' > hapmapPhaseIIISummary.sql hgLoadBed -sqlTable=hapmapPhaseIIISummary.sql hg19 hapmapPhaseIIISummary hg19.hapmapPhaseIIISummary.bed5p ############################################################################ # INDEL-BASED CONSERVATION TRACK liftOver to hg19 (DONE - 2010-12-21 - Chin ) # Data from the Gerton Lunter (gerton.lunter at anat.ox.ac.uk), MRC # Functional Genetics Unit, University of Oxford, United Kingdom. # Data is from the paper: # Lunter G, Ponting CP and Hein J Genome-wide identification of human # functional DNA using a neutral indel model. PLoS Comput Biol. 2006 # Jan;2(1):e5. mkdir -p /hive/data/genomes/hg19/bed/consIndels/data cd /hive/data/genomes/hg19/bed/consIndels cp /hive/data/genomes/hg18/bed/consIndels/README.indels . cp /hive/data/genomes/hg18/bed/consIndels/igs-hg18mm8cf2.zip . # 38 Mb zip file in GFF format. This contains data for hg18 # comparing it to mm8 and cf2 (canFam2). unzip igs-hg18mm8cf2.zip mv *.gff ./data/ cd /hive/data/genomes/hg19/bed/consIndels/data for f in *.gff do echo processing $f grep -v "track" $f >> ../allNoHeader.tmp done cd /hive/data/genomes/hg19/bed/consIndels/ cat allNoHeader.tmp | \ awk '{print $1,$4,$5,$6,$9,$10,$11}' > consIndels.bed7p liftOver -bedPlus=3 consIndels.bed7p \ /hive/data/genomes/hg18/bed/liftOver/hg18ToHg19.over.chain.gz \ consIndelsHg19Mm8CanFam2.bed7p unMapped wc -l *.bed7p # 2603017 consIndels.bed7p # 2602701 consIndelsHg19Mm8CanFam2.bed7p grep -i split unMapped | wc -l # 41 grep -i partially unMapped | wc -l # 66 rm allNoHeader.tmp rm consIndels.bed7p # strip off the end of the name e.g. IGS0001.1:p=.74; FDR 0.27 # so that the name displayed is short - IGS0001.1. The score field # is used to determine colouring and this is calculated from FDR cd /cluster/data/hg19/bed/consIndels cat consIndelsHg19Mm8CanFam2.bed7p | awk '{print $1,$2, $3, $5, $4}' | sed -e 's/:p[=<]\.[0-9][0-9]*;//' \ > consIndelsHg19Mm8CanFam2.bed # load data cd /hive/data/genomes/hg19/bed/consIndels hgLoadBed hg19 consIndelsHgMmCanFam consIndelsHg19Mm8CanFam2.bed # Reading consIndelsHg19Mm8CanFam2.bed # Loaded 2602701 elements of size 5 # Sorted # Creating table definition for consIndelsHgMmCanFam # Saving bed.tab # Loading hg19 # Get the IDs, posterior probabilities (p) for the segment being # neutral, # and the FDR from the original GFFs for a separate table. Some # items # have p<.001. Can not do Table Browser queries restricting # p to <, =, or > a specified value unless all values are floats. # Contacted the data contributor, Gerton Lunter, and he said it # would be # ok to change all p<.001 to p=0.0005 cd /hive/data/genomes/hg19/bed/consIndels/ cat consIndelsHg19Mm8CanFam2.bed7p \ | awk 'BEGIN {FS="\t"} {print $5, $6, $7}' \ | sed -e 's/:/\t/' \ | sed -e 's/p=\./0\./' | sed -e 's/p<\.001/0\.0005/' \ | sed -e 's/;\sFDR/\t/' > consIndelsHg19Mm8CanFam2Conf.txt # there are no GFF files for the haplotype chroms # Reuse $HOME/kent/src/hg/lib/itemConf.* for the table of identifier, # posterior probability and false discovery rate (FDR). cd /hive/data/genomes/hg19/bed/consIndels hgLoadSqlTab hg19 consIndelsHgMmCanFamConf \ $HOME/kent/src/hg/lib/itemConf.sql \ consIndelsHg19Mm8CanFam2Conf.txt # check that all itesm are in this table. hgsql -N -e 'select distinct(name) from consIndelsHgMmCanFam;' hg19 \ | sort > consIndels.names.sort hgsql -N -e 'select distinct(id) from consIndelsHgMmCanFamConf;' hg19 \ | sort > consIndels.idsfromConf.sort wc -l *.sort # 2602701 consIndels.idsfromConf.sort # 2602701 consIndels.names.sort comm -12 consIndels.names.sort consIndels.idsfromConf.sort | wc -l # 2602701 # so all element IDs are in both tables. # cleanup rm ./data/*.bak *.sort # add trackDb/human/hg19/trackDb.ra entry and add description that # was written by the data contributor. Add code to hgc.c to display # the posterior probability and the FDR on the details page for # track elements. Gerton Lunter provided a description for the data # on 2007-09-12. # Add hg19 to the "identifier consIndelsId" in all.joiner. ############################################################################ # POLYA_DB TRACK (DONE 2011-01-04 - Chin) # # Data files and program: # "Bin Tian" <btian@umdnj.edu> provided the following two # data files at /hive/data/outside/polyA: # hg18.polyadb.bed hg19.polyadb.bed # Andy found the SVM program he used before, and in here: # /hive/data/genomes/hg18/bed/polyaDB/polya_svm_2.2.tar.gz # Copy it to /hive/data/outside/polyA. Unzip the program to # polya_svm_2.2 mkdir /hive/data/genomes/hg19/bed/polyaDB cd /hive/data/genomes/hg19/bed/polyaDB cp /hive/data/outside/polyA/hg19.polyadb.bed . hgLoadBed hg19 polyaDb hg19.polyadb.bed # add trackDb entry in human/hg19 # polyA.html is at top human level # since hg19.polyadb.bed provided is lifted over from hg18.polyadb.bed, # it it safe to lift polyaPredict table from hg18 to hg19 without re-run # the svm. hgsql -N -e "select * from polyaPredict;" hg18 | \ cut -f2-9 > hg18.polyaPredict.bed wc -l hg18.polyaPredict.bed # 52182 hg18.polyaPredict.bed liftOver -bedPlus=8 hg18.polyaPredict.bed \ /hive/data/genomes/hg18/bed/liftOver/hg18ToHg19.over.chain.gz \ hg19.polyaPredict.bed unMapped.polyaPrdict wc -l hg19.polyaPredict.bed # 52169 hg19.polyaPredict.bed hgLoadBed hg19 polyaPredict hg19.polyaPredict.bed # Reading hg19.polyaPredict.bed # Loaded 52169 elements of size 8 # Sorted # Creating table definition for polyaPredict # Saving bed.tab # Loading hg19 ############################################################################# # FILTER SNP132 (DONE 3/8/11 angie) # 4/8/11: changing table names to be consistent with shortLabel: # snp132Patient -> snp132Flagged # snp132NonUnique -> snp132Mult # 3/8/11: redone after snp132 with tweaked weights in PARs, see above # Previously done 1/24/11 after snp132 # Redmine: Track #1684 (SNPs 132 (dbSNP)) # Make several tracks that are filtered subsets of snp132: # First, filter out the multiply-aligned and/or weight >1 SNPs [any other exceptions?] cd /hive/data/outside/dbSNP/132/human zcat snp132.parWeightTweak.bed.gz \ | perl -we \ 'open($mult, "| gzip -c > snp132Mult.bed.gz") || die; \ open($common, "| gzip -c > snp132Common.bed.gz") || die; \ open($flagged, "| gzip -c > snp132Flagged.bed.gz") || die; \ open($misc, "| gzip -c > snp132Misc.bed.gz") || die; \ while (<>) { \ @w = split("\t"); \ if ($w[16] > 1 || $w[17] =~ /MultipleAlignments/) { \ print $mult $_; \ } else { \ my ($alleleFreqCount, $nStr, $freqStr) = ($w[20], $w[22], $w[23]); \ my @alNs = split(",", $nStr); die unless scalar(@alNs) == $alleleFreqCount; \ my @freqs = split(",", $freqStr); die unless scalar(@freqs) == $alleleFreqCount; \ my ($total2N, $maxAlleleFreq) = (0, 0); \ for (my $i = 0; $i < $alleleFreqCount; $i++) { \ $total2N += $alNs[$i]; \ $maxAlleleFreq = $freqs[$i] if ($freqs[$i] > $maxAlleleFreq); \ } \ if ($alleleFreqCount >= 2 && $total2N >= 4 && $maxAlleleFreq <= 0.99) { \ print $common $_; \ } elsif($w[24] =~ /clinically-assoc/) { \ print $flagged $_; \ } else { \ print $misc $_; \ } \ } \ } \ close($mult); close($common); close($flagged); close($misc);' zcat snp132Mult.bed.gz | wc -l #3568988 zcat snp132Common.bed.gz | wc -l #14024295 zcat snp132Flagged.bed.gz | wc -l #18084 zcat snp132Misc.bed.gz | wc -l #15414754 # Load tables foreach subset (Mult Common Flagged Misc) hgLoadBed -tab -onServer -tmpDir=/data/tmp -allowStartEqualEnd -renameSqlTable \ hg19 snp132$subset -sqlTable=snp132.sql snp132$subset.bed.gz end ############################################################################# # BUILD DECIPHER WITH NEW HG19 RELEASE (Done Fan, 2/8/11) # The decipher track is built by an automated process. The following two scripts: # kent/src/utils/decipher/checkDecipher.sh # kent/src/utils/decipher/buildDecipher #are used to automatically detect update on DECIPHER ftp sites and then #download and build the decipher track. # checkDecipher.sh is invoked by a cron job, it will call buildDecipher to build # the decipher track after the new data are downloaded. ############################################################################# # GRC Incident database (DONE - 2011-02-10 - Hiram) # used to be NCBI Incident - changed to GRC Incident 2012-04-12 # this procedure is run as a cron job in Hiram's account: # 43 09 * * * /hive/data/outside/grc/incidentDb/runUpdate.sh makeItSo # using the two scrips there: runUpdate.sh and update.sh # which are checked into the source tree as files: # src/hg/utils/automation/grcIncidentUpdate.sh # src/hg/utils/automation/grcRunIncidentUpdate.sh # they fetch the XML files from NCBI, convert them to SQL text # files, construct a bigBed file, and pushes it to genomewiki if # it is an update from previous # the table in the dataBase is: grcIncidentDb # which is the URL to the bb file, a single row: # http://genomewiki.ucsc.edu/images/6/67/Hg19.grcIncidentDb.bb ############################################################################# # UNIGENE/SAGE TRACK (RE-BUILT - 2011-02-22 Fan) # Create the uniGene alignments # Download of the latest UniGene version is now automated by a # cron job -- see /cluster/home/angie/crontab , # /cluster/home/angie/unigeneVers/unigene.csh . ssh hgwdev mkdir -p /hive/data/genomes/hg19/bed/uniGene/022211 cd /hive/data/genomes/hg19/bed/uniGene/022211 set Version = 229 zcat /hive/data/outside/uniGene/uniGene.$Version/Hs.seq.uniq.gz|\ sed -e "s#>.*/ug=#>#; s# /len.*##;" > Hs.seq.uniq.simpleHeader.fa ssh swarm set Version = 229 mkdir -p /hive/data/genomes/hg19/bed/uniGene/022211/run.blat cd /hive/data/genomes/hg19/bed/uniGene/022211/run.blat ls -1 /hive/data/genomes/hg19/nib/*.nib > genome.lst ls -1S \ /hive/data/genomes/hg19/bed/uniGene/022211/Hs.seq.uniq.simpleHeader.fa \ > uniGene.lst cat << '_EOF_' > template.sub #LOOP /cluster/bin/x86_64/blat -repeats=lower -minIdentity=95 ooc=/hive/data/genomes/hg19/11.ooc $(path1) $(path2) {check out line+ psl/$(root1)_$(root2).psl} #ENDLOOP '_EOF_' gensub2 genome.lst uniGene.lst template.sub para.spec para create para.spec mkdir psl para try para check para push #Completed: 93 of 93 jobs #CPU time in finished jobs: 67404s 1123.41m 18.72h 0.78d 0.002 y #IO & Wait Time: 5838s 97.29m 1.62h 0.07d 0.000 y #Average job time: 788s 13.13m 0.22h 0.01d #Longest finished job: 5228s 87.13m 1.45h 0.06d #Submission to last job: 5320s 88.67m 1.48h 0.06d #Estimated complete: 0s 0.00m 0.00h 0.00d pslSort dirs raw.psl tmp psl >& pslSort.log cat raw.psl|\ pslReps -minCover=0.2 -sizeMatters -minAli=0.965 -nearTop=0.002 \ stdin hg19.uniGene.pslReps.psl /dev/null gzip raw.psl ssh hgwdev cd /hive/data/genomes/hg19/bed/uniGene/022211/run.blat hgLoadPsl -table=uniGene_3 hg19 hg19.uniGene.pslReps.psl mkdir -p /gbdb/hg19/uniGene cd /gbdb/hg19/uniGene rm Hs.seq.uniq.simpleHeader.fa ln -s \ /hive/data/genomes/hg19/bed/uniGene/022211/Hs.seq.uniq.simpleHeader.fa \ Hs.seq.uniq.simpleHeader.fa # load the sequence hgLoadSeq -replace hg19 /gbdb/hg19/uniGene/Hs.seq.uniq.simpleHeader.fa ############################################################################## # Chimp Lastz run (DONE - 2011-02-23 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzPanTro3.2011-02-22 cd /hive/data/genomes/hg19/bed/lastzPanTro3.2011-02-22 cat << '_EOF_' > DEF # human vs chimp BLASTZ=lastz # maximum M allowed with lastz is only 254 BLASTZ_M=254 BLASTZ_Q=/scratch/data/blastz/human_chimp.v2.q BLASTZ_O=600 BLASTZ_E=150 BLASTZ_K=4500 BLASTZ_Y=15000 BLASTZ_T=2 # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 SEQ1_IN_CONTIGS=0 # QUERY: Chimp PanTro3 SEQ2_DIR=/scratch/data/panTro3/panTro3.2bit SEQ2_LEN=/scratch/data/panTro3/chrom.sizes SEQ2_CHUNK=10000000 SEQ2_LAP=0 SEQ2_IN_CONTIGS=0 BASE=/hive/data/genomes/hg19/bed/lastzPanTro3.2011-02-22 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs screen # use screen to manage this long-running job time nice -n +19 doBlastzChainNet.pl `pwd`/DEF -verbose=2 \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ -syntenicNet > do.log 2>&1 & # problems with memk, after recovery, continue chainMerge: time nice -n +19 doBlastzChainNet.pl `pwd`/DEF -verbose=2 \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ -continue=chainMerge -syntenicNet > chainMerge.log 2>&1 & # real 103m34.088s cat fb.hg19.chainPanTro3Link.txt # 2760939621 bases of 2897316137 (95.293%) in intersection # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 panTro3 > rbest.log 2>&1 # real 50m49.740s # running the swap mkdir /hive/data/genomes/panTro3/bed/blastz.hg19.swap cd /hive/data/genomes/panTro3/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzPanTro3.2011-02-22/DEF \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -syntenicNet > swap.log 2>&1 & # real 86m49.706s cat fb.panTro3.chainHg19Link.txt # 2772816267 bases of 2900529764 (95.597%) in intersection ############################################################################ # MAKE tfbsConsSites and tfbsConsFactors for TFBS conserved track (DONE weirauch braney 03/07/11) # Questions? braney at soe.ucsc.edu ssh hgwdev mkdir /cluster/data/hg19/bed/tfbsCons cd /cluster/data/hg19/bed/tfbsCons # Define all parameters in 'PARAMS.txt' # Define all chromosomes in 'CHROMS.txt' # Get tfbsConsUtils.tar.gz from Matt Weirauch with Perl scripts weirauch@soe.ucsc.edu set tarfile=/cluster/data/hg19/bed/tfbsCons/tfbsConsUtils.tar.gz tar zxf $tarfile nice ./getRefseqStats.pl & nice ./getBatchQueries.pl & ssh swarm mkdir /cluster/bluearc/braney/tfloc mkdir /hive/users/weirauch/tfloc_hg18 # Copy ./tmp/ctfbs_batch_list.txt to this dir # Copy ./scripts/doit to this dir para create ctfbs_batch_list.txt para try para push # When the run is done (within a day or so), the results will be in individual dirs, one for each chromosome. nice ./getBedFile.pl & hgLoadBed -noSort hg19 tfbsConsSites -sqlTable=$HOME/kent/src/hg/lib/tfbsConsSites.sql tfbsConsSites.bed -tab hgLoadSqlTab hg19 tfbsConsFactors $HOME/kent/src/hg/lib/tfbsConsFactors.sql tfbsConsFactors.bed ######################################################################### # BUILD THE TRACK OF IKMC MAPPED TO HUMAN GENOME. (DONE, Fan, 3/15/11) ssh hgwdev mkdir -p /hive/data/genomes/hg19/bed/ikmc/110314 cd /hive/data/genomes/hg19/bed/ikmc/110314 # recieve 20110301_human.gff.gz from Carol Bult [Carol.Bult@jax.org] and place it under this subdirectory. gzip -d 20110301_human.gff.gz # build hgIkmc table from raw data file ucschuman.gff (substitue some # troublesome chroms in raw data file and remove some records mapped to 'chrUn') cat 20110301_human.gff |sort -u \ |sed -e 's/chr9|NT_113911.1/chr9/' \ |grep -v 'chrUn' \ | perl -we \ 'while (<>) { \ s/\r?\n$//; \ ($chr, undef, $ctr, $s, $e, undef, undef, undef, $id, $col, $n) = split("\t"); \ if ($s eq "") { warn "$_\n"; s/^.*//; next; } # Some lines have no coords. \ $col = ($col eq "Yellow") ? "255,215,0" : \ ($col eq "Green") ? "0,240,0" : \ ($col eq "Blue") ? "0,0,200" : "0,0,0"; \ $s--; \ $id =~ s/^MGI:\d+; (\w+); .*/$1/ || die "Cant parse id \"$id\""; \ my $geneId = join("|", $chr, $ctr, "${n}_$id"); \ push @{$geneBlks{$geneId}}, [$s, $e, $col] unless $e <= 0; \ } \ warn "Got " . scalar(keys %geneBlks) . " genes.\n"; \ foreach my $geneId (keys %geneBlks) { \ my @blks = @{$geneBlks{$geneId}}; \ my ($chrom, $center, $name) = split(/\|/, $geneId); \ my $blkCount = @blks; \ @blks = sort {$a->[0] <=> $b->[0]} @blks; \ my $chromStart = $blks[0]->[0]; \ my $chromEnd = $blks[$blkCount-1]->[1]; \ my $color = $blks[0]->[2]; \ my $blkStarts = ""; \ my $blkSizes = ""; \ foreach my $blk (@blks) { \ my ($start, $end, $col) = @{$blk}; \ $blkStarts .= ($start - $chromStart) . ","; \ $blkSizes .= ($end - $start) . ","; \ if ($col ne $color) { die "Blocks of $geneId of colors $color and $col"; } \ } \ print join("\t", $chrom, $chromStart, $chromEnd, $name, 0, ".", $chromStart, \ $chromStart, $color, $blkCount, $blkSizes, $blkStarts) . "\n"; \ }' \ | sort -k 1,1 -k 2n,2n > hgIkmc.bed # Got 41936 genes. # build hgIkmcExtra table cat 20110301_human.gff \ | grep -v 'chrUn' \ | perl -wpe 's/\r?\n$//; @w = split("\t"); \ if ($w[3] eq "") { s/^.*//; next; } # Some lines have no coords. \ if ($w[4] <= 0) { s/^.*//; next; } # A few lines have end=0. \ $w[8] =~ m/^(MGI:\d+); (\w+); (\w.*)/ || die; \ ($mgi, $designId, $status) = ($1, $2, $3); \ $_ = "$w[10]_$designId\t$mgi,$designId,$w[2],$status\n";' \ | sort -u > hgIkmcExtra.tab wc -l hgIkmcExtra.tab # 41936 hgIkmcExtra.tab # load tables hgLoadBed hg19 hgIkmc hgIkmc.bed checkTableCoords -verbose=2 hg19 hgIkmc hgLoadSqlTab hg19 hgIkmcExtra $HOME/kent/src/hg/lib/genericAlias.sql hgIkmcExtra.tab ######################################################################### # LOAD ACEMBLY (DONE 2011-03-14 - Chin) mkdir /hive/data/outside/acembly cd /hive/data/outside/acembly wget --timestamping \ ftp://ftp.ncbi.nih.gov/repository/acedb/ncbi_37_Aug10.human.genes/AceView.ncbi_37.genes_gff.gff.gz wget --timestamping \ ftp://ftp.ncbi.nih.gov/repository/acedb/ncbi_37_Aug10.human.genes/AceView.ncbi_37.good_proteins_peptide.fasta.gz mkdir /cluster/data/hg19/bed/acembly cd /cluster/data/hg19/bed/acembly cp -p /hive/data/outside/acembly/AceView.ncbi_37.genes_gff.gff.gz . cp -p /hive/data/outside/acembly/AceView.ncbi_37.good_proteins_peptide.fasta.gz . gzip -d AceView.ncbi_37.genes_gff.gff.gz gzip -d AceView.ncbi_37.good_proteins_peptide.fasta.gz # If the result of this command is > 0, then some lines have end < # start # and need to be fixed: awk '$5 < $4 {print;}' AceView.ncbi_37.genes_gff.gff | wc -l # 0 # Filter out empty lines, lines where the product_id has a stray # newline before it, and $chr|Hs# IDs that don't appear liftable. # (Note: the new gff does not have these two cases anymore.) # Add 'chr' prefix to chrom number at field 1 egrep -h -v '^(| ?product_id.*|..?\|Hs.*)$' AceView.ncbi_37.genes_gff.gff \ | sed -e 's/^/chr/;' \ > acembly.gff # fixed the chrmito prefix to chrM mv acembly.gff acembly.tmp cat acembly.tmp | sed -e 's/^chrmito/chrM/;' > acembly.gff # Extract annotation classes from original gff: cat AceView.ncbi_37.genes_gff.gff | awk '{print $12}' | sort | uniq # cDNA_supported; # Note: version 37 gff have only one gene type - cDNA_supported; # Per Danielle and Jean request, use pink to display them. # the following replace become no-op. egrep -h -v '^(| ?product_id.*|..?\|Hs.*)$' AceView.ncbi_37.genes_gff.gff \ | perl -wpe 's/^.*Gene_type (\w+); transcript_id (\S+);.*/$2\t$1/; \ s/Cloud$/cloud/ || s/Spliced_gene$/spliced_gene/ || \ die "Unrecognized class/Gene_type:\n$_\n";' \ | sort -u \ > acemblyClass.tab # Useless use of single ref constructor in void context at -e line 2. # warning was issued, however it is harmless. # Some gff transcript_id's end in -unspliced (no intron), but the # corresponding protein fasta IDs to not have that suffix. We need # them to match, so add where necessary. # Use perl to make a perl script to add -unspliced to protein IDs # where necessary: grep unspliced acemblyClass.tab | wc -l # 54180 egrep -h -v '^(| ?product_id.*|..?\|Hs.*)$' AceView.ncbi_37.genes_gff.gff \ | perl -wpe 's@^.*transcript_id (\S+)-unspliced;.*$@\$unsp{"$1"} = 1;@ || s/^.*\n$//;' \ | sort -u \ > addUnspliced.pl wc -l addUnspliced.pl # 54180 addUnspliced.pl cat >> addUnspliced.pl <<'_EOF_' while (<>) { if (/^>(\S+)$/) { if ($unsp{$1}) { s/^>(\S+)/>$1-unspliced/; } } print; } '_EOF_' # << emacs # Add -unspliced suffix to protein IDs where necessary, and pare # down # proteins to just the ones that we have transcripts for: awk '{print $1;}' acemblyClass.tab > transcriptNames.txt perl addUnspliced.pl AceView.ncbi_37.good_proteins_peptide.fasta \ | faSomeRecords stdin transcriptNames.txt acemblyPep.fa grep unspliced acemblyPep.fa | wc -l # 31956 # Danielle Thierry-Mieg explained that noncoding genes are included # so # the number of proteins can be smaller than the number of # transcripts. # Load tables ssh hgwdev cd /cluster/data/hg19/bed/acembly ldHgGene -gtf hg19 acembly acembly.gff # Reading acembly.gff # Read 259440 transcripts in 3870073 lines in 1 files # 259440 groups 25 seqs 1 sources 5 feature types # 259440 gene predictions hgLoadSqlTab hg19 acemblyClass ~/kent/src/hg/lib/acemblyClass.sql \ acemblyClass.tab # Scanning through 1 files hgPepPred hg19 generic acemblyPep acemblyPep.fa # rm acemblyPep.tab runJoiner.csh hg19 acembly # found identifiers: # acemblyName # Checking keys on database hg19 # hg19.acemblyPep.name - hits 187692 of 187692 ok # hg19.acemblyClass.name - hits 259440 of 259440 ok # running -times flag ############################################################################# # Affy Exon track (DONE 2011-03-08 - Melissa Cline) # scripts/splitAffyExonBeds.py (below) #!/usr/bin/env python import fileinput import re import string filehandle = None for line in fileinput.input(): if re.search("track\tname", line): if filehandle != None: filehandle.close() filename = fileinput.filename() filename = string.replace(filename, "hg19-bed", "hg19-split-bed") if re.search("gene level exon", line): filename = string.replace(filename, ".bed", ".exon.bed") elif re.search("gene probeset", line): filename = string.replace(filename, ".bed", ".geneProbeset.bed") elif re.search("exon probeset", line): filename = string.replace(filename, ".bed", ".probeset.bed") elif re.search("probe", line): filename = string.replace(filename, ".bed", ".probe.bed") filehandle = open(filename, 'w') filehandle.write(line) # scripts/mergeAcrossChromosomes.bash (below) #!/usr/bin/env bash PATHNAME="/hive/users/cline/Affy/" tail -n +2 $PATHNAME/Affy-HuEx-hg19-split-bed/HuEx-1_0-st-v2.hg19.*.$1.bed \ |grep -v "==>" > $PATHNAME/mergedBeds/AffyHuEx.$1.bed # scripts/splitByProbesetType.py (below) #!/usr/bin/env python from optparse import OptionParser import re parser = OptionParser() parser.add_option("-s", "--supplementalData", dest="supplementalData", default="supportingAnnotations/HuEx-1_0-st-v2.na31.hg19.probeset.csv") parser.add_option("-b", "--bedData", dest="bedData", default="noOverlaps/AffyHuEx.probeset.overlapsMerged.bed") (parameters, args) = parser.parse_args() coreProbesets = dict() extendedProbesets = dict() fullProbesets = dict() ambiguousProbesets = dict() freeProbesets = dict() supplementalFile = open(parameters.supplementalData) for line in supplementalFile: tokens = line.split(",") probesetId = re.sub("\"", "", tokens[0]) if re.search("core", line): coreProbesets[probesetId] = 1 elif re.search("extended", line): extendedProbesets[probesetId] = 1 elif re.search("full", line): fullProbesets[probesetId] = 1 elif re.search("ambiguous", line): ambiguousProbesets[probesetId] = 1 elif re.search("free", line): freeProbesets[probesetId] = 1 supplementalFile.close() coreProbesetsOutfile = re.sub("noOverlaps", "partitioned2", re.sub("overlapsMerged", "core.overlapsMerged", parameters.bedData)) coreProbesetsOut = open(coreProbesetsOutfile, 'w') extendedProbesetsOutfile = re.sub("noOverlaps", "partitioned2", re.sub("overlapsMerged", "extended.overlapsMerged", parameters.bedData)) extendedProbesetsOut = open(extendedProbesetsOutfile, 'w') fullProbesetsOutfile = re.sub("noOverlaps", "partitioned2", re.sub("overlapsMerged", "full.overlapsMerged", parameters.bedData)) fullProbesetsOut = open(fullProbesetsOutfile, 'w') ambiguousProbesetsOutfile = re.sub("noOverlaps", "partitioned2", re.sub("overlapsMerged", "ambiguous.overlapsMerged", parameters.bedData)) ambiguousProbesetsOut = open(ambiguousProbesetsOutfile, 'w') freeProbesetsOutfile = re.sub("noOverlaps", "partitioned2", re.sub("overlapsMerged", "free.overlapsMerged", parameters.bedData)) freeProbesetsOut = open(freeProbesetsOutfile, 'w') bedInput = open(parameters.bedData) for line in bedInput: tokens = line.split() if len(tokens) < 3: print "error: misformed line", line else: name = line.split()[3] (gene,probeset) = name.split("_") if coreProbesets.has_key(probeset): coreProbesetsOut.write(line) elif extendedProbesets.has_key(probeset): extendedProbesetsOut.write(line) elif fullProbesets.has_key(probeset): fullProbesetsOut.write(line) elif ambiguousProbesets.has_key(probeset): ambiguousProbesetsOut.write(line) elif freeProbesets.has_key(probeset): freeProbesetsOut.write(line) else: print "warning: orphan line", line # 1. Given data from the vendor, one file per chromosome with four types of # bed entries per file (one file per chromosome), split them into four bed # files (yielding four bed files per chromosome). ls Affy-HuEx-hg19-bed/*bed \ | awk '{ print "scripts/splitAffyExonBeds.py", $1 }' |bash # 2. Given a subdirectory with four bed files per chromosome for probeset # and probe bed files, merge them into one bed file for probeset data # and one bed file per probe data. From here, we are ignoring the exon # and gene probeset data. scripts/mergeAcrossChromosomes.bash probeset scripts/mergeAcrossChromosomes.bash probe # 3. There is an issue that the probeset data contains overlapping blocks. # Fix this with bedMergeOverlappingBlocks, written by Andy Pohl. Note that # the probe data does not contain overlapping blocks. bedMergeOverlappingBlocks mergedBeds/affyHuEx.probeset.bed \ noOverlaps/AffyHuEx.probeset.overlapsMerged.bed cp mergedBeds/AffyHuEx.probe.bed noOverlaps/AffyHuEx.probe.overlapsMerged.bed # 4. There are five different types of probesets, each of which has a different # significance to the user. These should best be represented as five different # subtracks of a parent track (one parent track for probesets, and one for probes). # Split the data by probeset type. Note that the same process can be applied to # both the probeset and probe data, because the probe data is represented by the # probeset ID rather than by a distinct probe ID. scripts/splitByProbesetType.py \ -s supportingAnnotations/HuEx-1_0-st-v2.na31.hg19.probeset.csv \ -p noOverlaps/AffyHuEx.probe.overlapsMerged.bed hgLoadBed hg19 affyExonProbeAmbiguous \ partitioned2/AffyHuEx.probe.ambiguous.overlapsMerged.bed hgLoadBed hg19 affyExonProbeCore \ partitioned2/AffyHuEx.probe.core.overlapsMerged.bed hgLoadBed hg19 affyExonProbeExtended \ partitioned2/AffyHuEx.probe.extended.overlapsMerged.bed hgLoadBed hg19 affyExonProbeFree \ partitioned2/AffyHuEx.probe.free.overlapsMerged.bed hgLoadBed hg19 affyExonProbeFull \ partitioned2/AffyHuEx.probe.full.overlapsMerged.bed scripts/splitByProbesetType.py \ -s supportingAnnotations/HuEx-1_0-st-v2.na31.hg19.probeset.csv \ -p noOverlaps/AffyHuEx.probeset.overlapsMerged.bed hgLoadBed hg19 affyExonProbesetAmbiguous \ partitioned2/AffyHuEx.probeset.ambiguous.overlapsMerged.bed hgLoadBed hg19 affyExonProbesetCore \ partitioned2/AffyHuEx.probeset.core.overlapsMerged.bed hgLoadBed hg19 affyExonProbesetExtended \ partitioned2/AffyHuEx.probeset.extended.overlapsMerged.bed hgLoadBed hg19 affyExonProbesetFree \ partitioned2/AffyHuEx.probeset.free.overlapsMerged.bed hgLoadBed hg19 affyExonProbesetFull \ partitioned2/AffyHuEx.probeset.full.overlapsMerged.bed ######################################################################### # LASTZ Turkey MelGal1 (DONE - 2011-03-28 - Chin) mkdir /hive/data/genomes/hg19/bed/lastzMelGal1.2011-03-28 cd /hive/data/genomes/hg19/bed/lastzMelGal1.2011-03-28 cat << '_EOF_' > DEF # Turkey vs Human # TARGET: Human hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Turkey melGal1 - single chunk big enough to run entire chrom SEQ2_DIR=/scratch/data/melGal1/melGal1.2bit SEQ2_LEN=/scratch/data/melGal1/chrom.sizes SEQ2_CHUNK=10000000 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzMelGal1.2011-03-28 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -syntenicNet \ -noLoadChainSplit \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ -chainMinScore=5000 -chainLinearGap=loose > do.log 2>&1 # real 100m33.646s cat fb.hg19.chainMelGal1Link.txt # 76647912 bases of 2897316137 (2.645%) in intersection # Create link cd /hive/data/genomes/hg19/bed ln -s lastzMelGal1.2011-03-28 lastz.melGal1 # running the swap mkdir /hive/data/genomes/melGal1/bed/blastz.hg19.swap cd /hive/data/genomes/melGal1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzMelGal1.2011-03-28/DEF \ -swap \ -noLoadChainSplit \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ -chainMinScore=5000 -chainLinearGap=loose > swap.log 2>&1 # real 6m51.280s cat fb.melGal1.chainHg19Link.txt # 62120143 bases of 935922386 (6.637%) in intersection cd /hive/data/genomes/melGal1/bed ln -s blastz.hg19.swap lastz.hg19 ############################################################################# # BUILD seudoYale60 TRACK # Rachel built this for Gencode first, Fan adopted for UCSC GB, DONE, 3/31/2011. # # First, how Rachel built it: # YALE PSEUDOPIPE PSEUDOGENE PREDICTIONS BASED ON ENSEMBL 60 # (hartera, 2011-01-10, DONE) # FTP site e-mailed by Suganthi Balasubramanian (suganthi.bala@yale.edu) from # the Gerstein lab. Data is from their PseudoPipe pipeline and it is based on # proteins from Ensembl Build 60 (pseudogene data from December 2010?). mkdir -p /hive/groups/gencode/browser/hg19/gencodeYalePseudoBuild60 cd /hive/groups/gencode/browser/hg19/gencodeYalePseudoBuild60 wget --timestamping \ "http://tables.pseudogene.org/dump.cgi?table=Human60" # Then re-name the file: mv dump.cgi\?table=Human60 Human60YalePseudo.txt # Header from data file. ID Chromosome Start Coordinate Stop Coordinate Strand Parent Protein Protein Start Protein Stop Parent Gene Fraction Num Insertions Num Deletions Num Shifts Num Stops E Value Identity PolyA Disablements Exons Introns Class Sequence Link # urls are of type: # http://tables.pseudogene.org/human60/<ID> so this can be added to the # trackDb as for the previous track. # Get list of haplotype chroms: grep _ Human60YalePseudo.txt | awk '{print $2}' | sort | uniq HSCHR17_1 HSCHR6_MHC_APD HSCHR6_MHC_COX HSCHR6_MHC_DBB HSCHR6_MHC_MANN HSCHR6_MHC_MCF HSCHR6_MHC_QBL HSCHR6_MHC_SSTO # These correspond to the haplotype chroms in GRCh37 (hg19). # Convert data to genePred: # chromsomomes are 1-22, X, Y, chr17_ctg5_hap1 (HSCHR17_1) and the chr6 # haplotypes e.g. chr6_cox_hap1 (HSCHR6_MHC_COX) cat << '_EOF_' > formatPseudogenesToGenePred #!/usr/bin/awk -f # Parse Yale pseudogene data file. # Exon coordinates are in this format: [[28688544, 28688864], [28689678, 2869117# 4], [28694308, 28694460], [28701327, 28701749]] # Ignore header line /^ID/ { next; } # Parse the data lines BEGIN {FS="\t"} {OFS="\t"} { gsub(/\[/, "", $19); gsub(/\]/, "", $19); split($19, exons, ","); # Count the number of start and end coordinates for exons and # calculate the number of exons. count=(length(exons))/2; # Write out genePred. Add chr in front of chrom only if not haplotype. if ($2 !~ /HSCHR/) { printf "%s\tchr%s\t%c\t%d\t%d\t0\t0\t%d\t", $1, $2, $5, $3-1, $4, count; } else { printf "%s\t%s\t%c\t%d\t%d\t0\t0\t%d\t", $1, $2, $5, $3-1, $4, count; } # get list of exon starts, convert from 1-based to 0-based for (i=1; i <= length(exons); i+=2) { printf "%d,", exons[i]-1","; } printf "\t"; # get list of exon ends for (i=2; i <= length(exons); i+=2) { printf "%d,", exons[i]","; } printf "\n"; } '_EOF_' chmod +x formatPseudogenesToGenePred # format the Yale pseudogenes data to genePred. ./formatPseudogenesToGenePred Human60YalePseudo.txt \ > gencodeYalePseudoBuild60.gp # The Genome Browser represents just the haplotype region as a separate # "chromosome" whereas the coordinates represent the haplotype region embedded # into chr6. cp -p /hive/data/genomes/hg19/jkStuff/ensGene.haplotype.lift . # The lift file assumes the following chrom names -69170076 HSCHR4_1 191154276 chr4_ctg9_hap1 590426 -43384863 HSCHR17_1 81195210 chr17_ctg5_hap1 1680828 -28696603 HSCHR6_MHC_APD 171115067 chr6_apd_hap1 4622290 -28477796 HSCHR6_MHC_COX 171115067 chr6_cox_hap2 4795371 -28696603 HSCHR6_MHC_DBB 171115067 chr6_dbb_hap3 4610396 -28696603 HSCHR6_MHC_MANN 171115067 chr6_mann_hap4 4683263 -28696603 HSCHR6_MHC_MCF 171115067 chr6_mcf_hap5 4833398 -28696603 HSCHR6_MHC_QBL 171115067 chr6_qbl_hap6 4611984 -28659142 HSCHR6_MHC_SSTO 171115067 chr6_ssto_hap7 4928567 liftUp -type=.gp gencodeYalePseudoBuild60HapsLifted.gp \ ensGene.haplotype.lift carry gencodeYalePseudoBuild60.gp # Got 68 lifts in ensGene.haplotype.lift # Lifting gencodeYalePseudoBuild55.gp wc -l gencode*.gp 17888 gencodeYalePseudoBuild60.gp 17888 gencodeYalePseudoBuild60HapsLifted.gp # Load table and then check some haplotype regions. See if look plausible. # Load the genePred file into hg19 hgLoadGenePred hg19 gencodeYalePseudoBuild60 \ gencodeYalePseudoBuild60HapsLifted.gp # Didn't load. There are 12 invalid genePreds (10 in Ensembl 55, 12 for 59): Error: invalid genePred: PGOHUM00000244617 exon 2 overlaps previous exon Error: invalid genePred: PGOHUM00000244796 exon 1 overlaps previous exon Error: invalid genePred: PGOHUM00000248470 exon 1 overlaps previous exon Error: invalid genePred: PGOHUM00000251325 exon 1 overlaps previous exon Error: invalid genePred: PGOHUM00000250199 exon 1 overlaps previous exon Error: invalid genePred: PGOHUM00000243651 exon 1 overlaps previous exon Error: invalid genePred: PGOHUM00000232858 exon 1 overlaps previous exon Error: invalid genePred: PGOHUM00000232933 exon 1 overlaps previous exon Error: invalid genePred: PGOHUM00000233065 exon 1 overlaps previous exon Error: invalid genePred: PGOHUM00000236237 exon 1 overlaps previous exon Error: invalid genePred: PGOHUM00000241760 exon 1 overlaps previous exon Error: invalid genePred: PGOHUM00000233784 exon 8 overlaps previous exon Error: 12 invalid genePreds, database unchanged # These are on chroms 1, 6, 7, 9, X, Y. # File didn't load into database. # Make a file of these ids - invalidIds grep -f invalidIds -vw gencodeYalePseudoBuild60HapsLifted.gp \ > gencodeYalePseudoBuild60HapsLiftedNoInvalidGps.gp wc -l gencode*gp # 17888 gencodeYalePseudoBuild60.gp # 17888 gencodeYalePseudoBuild60HapsLifted.gp # 17876 gencodeYalePseudoBuild60HapsLiftedNoInvalidGps.gp # Then re-load database hgLoadGenePred hg19 gencodeYalePseudoBuild60 \ gencodeYalePseudoBuild60HapsLiftedNoInvalidGps.gp # Add trackDb.ra entry for track, add a search and make sure # there is a description page, copy over from the gencodeYalePseudoBuild59 # html. Commit these to SVN. # Add to the html description, the list of 12 IDs of genes that were removed # due to overlapping exon coordinates. This was also a problem for the Yale # pseudogenes based on Ensembl Build 53 and 55 but there were 10 problem IDs # for those builds. # Build class table for colouring pseudogenes by type. # copy over class table definition from a previous set of Yale pseudogenes. cp -p ../gencodeYalePseudoBuild55/gencodeYalePseudoBuild55Class.sql \ gencodeYalePseudoBuild60Class.sql # Make the class table file: tail -n +2 Human60YalePseudo.txt \ | tawk '{print $1, $21, "Yale"}' | sort > yalePseudoBuild60Class.txt # load table hgLoadSqlTab hg19 gencodeYalePseudoBuild60Class \ gencodeYalePseudoBuild60Class.sql yalePseudoBuild60Class.txt hgsql -e 'select distinct(class) from gencodeYalePseudoBuild60Class;' hg19 +------------+ | class | +------------+ | Ambiguous | | Processed | | Duplicated | +------------+ # Add these classes to the trackDb.ra entry for the geneClasses field and # to the list of classes with colours. # Next, how Fan adopted it: ssh hgwdev mkdir -p /hive/data/genomes/hg19/bed/pseudoYale60 cd /hive/data/genomes/hg19/bed/pseudoYale60 hgsql hg19 < ~/src/hg/lib/pseudoYale60.sql hgsql hg19 < ~/src/hg/lib/pseudoYale60Class.sql hgsql hg19 -e "insert into pseudoYale60 select * from gencodeYalePseudoBuild60" hgsql hg19 -e "insert into pseudoYale60Class select * from gencodeYalePseudoBuild60Class" ############################################################################## # LASTZ Lizard AnoCar2 (DONE - 2011-04-19 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzAnoCar2.2011-04-19 cd /hive/data/genomes/hg19/bed/lastzAnoCar2.2011-04-19 cat << '_EOF_' > DEF # human vs lizard BLASTZ_H=2000 BLASTZ_Y=3400 BLASTZ_L=6000 BLASTZ_K=2200 BLASTZ_Q=/scratch/data/blastz/HoxD55.q # TARGET: Human hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Lizard anoCar2 SEQ2_DIR=/scratch/data/anoCar2/anoCar2.2bit SEQ2_LEN=/scratch/data/anoCar2/chrom.sizes SEQ2_CHUNK=10000000 SEQ2_LAP=0 SEQ2_LIMIT=40 BASE=/hive/data/genomes/hg19/bed/lastzAnoCar2.2011-04-19 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # establish a screen to control this job screen time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=loose \ -syntenicNet -workhorse=hgwdev -smallClusterHub=encodek \ -bigClusterHub=swarm -qRepeats=windowmaskerSdust > do.log 2>&1 & # real 195m52.809s cat fb.hg19.chainAnoCar2Link.txt # 102917023 bases of 2897316137 (3.552%) in intersection # running the swap - DONE - 2011-04-19 mkdir /hive/data/genomes/anoCar2/bed/blastz.hg19.swap cd /hive/data/genomes/anoCar2/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzAnoCar2.2011-04-19/DEF \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -syntenicNet -swap -qRepeats=windowmaskerSdust > swap.log 2>&1 & # real 20m45.683s cat fb.anoCar2.chainHg19Link.txt # 88296392 bases of 1701353770 (5.190%) in intersection ############################################################################## # NCBI patch 3 (NOT COMPLETE - 2011-04-21 - Hiram) mkdir /hive/data/genomes/hg19/bed/additionalSequence/patch3 cd /hive/data/genomes/hg19/bed/additionalSequence/patch3 # these scripts were altered slightly for improvements and corrections # to this patch3 business cp -p ../patches/gatherNames.pl . # business added to gatherNames.pl to construct patches.chrom.sizes file ./gatherNames.pl . > ucscNames.patch3.txt cp -p ../patch2/mkTables.pl . ./mkTables.pl patches.chrom.sizes ucscNames.patch3.txt PATCHES/alt_scaffolds/AGP/alt.scaf.agp.gz # output to stdout is the contents of alt.scaf.agp.gz # constructs files: ctgPos.txt chromInfo.txt gold.txt and gap.txt cp -p ../patch2/mkCtgPos2.pl . ./mkCtgPos2.pl ucscNames.patch3.txt patches.chrom.sizes > ctgPos2.txt cp -p ../patch2/mkHapLocate.pl . ./mkHapLocate.pl ctgPos.txt \ PATCHES/alt_scaffolds/alt_scaffold_placement.txt \ > haplotypeLocations.bed # not found: GL339449.1 HSCHR5_1_CTG1 # not found: GL339450.1 HG79_PATCH ############################################################################## # NCBI patch 5 (DONE - 2011-07-01,13 - Hiram) mkdir /hive/data/genomes/hg19/bed/additionalSequence/patch5 cd /hive/data/genomes/hg19/bed/additionalSequence/patch5 wget --cut-dirs=6 --no-parent --timestamping --no-remove-listing -m \ -nH --ftp-user=anonymous --ftp-password=yourName@domain.edu \ ftp://ftp.ncbi.nlm.nih.gov/genbank/genomes/Eukaryotes/vertebrates_mammals/Homo_sapiens/GRCh37.p5/ # the scripts from patch4 were modified slightly to update and fix some # of the new names in this patch5 cp ../patch4/gatherNames.pl . ./gatherNames.pl . > ucscNames.patch5.txt cp -p ../patch4/mkTables.pl . ./mkTables.pl patches.chrom.sizes ucscNames.patch5.txt PATCHES/alt_scaffolds/AGP/alt.scaf.agp.gz # output to stdout is the contents of alt.scaf.agp.gz # constructs files: ctgPos.txt chromInfo.txt gold.txt and gap.txt cp -p ../patch4/mkCtgPos2.pl . ./mkCtgPos2.pl ucscNames.patch5.txt patches.chrom.sizes > ctgPos2.txt cp -p ../patch4/mkHapLocate.pl . ./mkHapLocate.pl ctgPos.txt \ PATCHES/alt_scaffolds/alt_scaffold_placement.txt \ > haplotypeLocations.bed cp haplotypeLocations.bed altSequence.bed ln -s ../patch2/before.patch2.hapLoc.bed hg19.hapLoc.bed awk '{printf "%s\t%d\t%d\t%s\t500\t+\t%d\t%d\t32,32,190\n", $2,$3,$4,$5,$3,$4}' \ hg19.hapLoc.bed >> altSequence.bed # a new script for patch5 ./mkFasta.pl ucscNames.patch5.txt > hg19.patch5.fa # the build of hg19Patch5 can be seen in hg19Patch5.txt egrep -v "32,32,190" altSequence.bed \ | awk '{printf "%s\t%d\t%d\t%s\t%d\t%s\n", $1,$2,$3,$4,$5,$6}' \ > altSeqPatchesP5.tab egrep "32,32,190" altSequence.bed \ | awk '{printf "%s\t%d\t%d\t%s\t%d\t%s\n", $1,$2,$3,$4,$5,$6}' \ > altSeqHaplotypesP5.tab # verify none lost wc -l altSeqPatchesP5.tab altSeqHaplotypesP5.tab # 41 altSeqPatchesP5.tab # 75 altSeqHaplotypesP5.tab # 116 total wc -l altSequence.bed # 116 altSequence.bed hgLoadBed hg19 altSeqHaplotypesP5 altSeqHaplotypesP5.tab # Loaded 75 elements of size 6 hgLoadBed hg19 altSeqPatchesP5 altSeqPatchesP5.tab # Loaded 41 elements of size 6 # to replace the existing track: hgLoadBed hg19 altSeqHaplotypes altSeqHaplotypesP5.tab # Loaded 75 elements of size 6 hgLoadBed hg19 altSeqPatches altSeqPatchesP5.tab # Loaded 41 elements of size 6 ############################################################################## # NCBI patch 9 (DONE - 2012-07-16 - Hiram) mkdir /hive/data/genomes/hg19/bed/additionalSequence/patch9 cd /hive/data/genomes/hg19/bed/additionalSequence/patch9 wget --cut-dirs=6 --no-parent --timestamping --no-remove-listing -m \ -nH --ftp-user=anonymous --ftp-password=yourName@domain.edu \ ftp://ftp.ncbi.nlm.nih.gov/genbank/genomes/Eukaryotes/vertebrates_mammals/Homo_sapiens/GRCh37.p9/ # the scripts from patch5 were modified slightly to update and fix some # of the new names in this patch9 cp ../patch5/gatherNames.pl . ./gatherNames.pl . > ucscNames.patch9.txt # examine the names for sanity: awk '{print $NF}' ucscNames.patch9.txt | sort # and they should not be longer than 31 characters: awk '{print $NF}' ucscNames.patch9.txt | sort | awk '{print length($0)}' \ | sort -n | tail cp -p ../patch5/mkTables.pl . ./mkTables.pl patches.chrom.sizes ucscNames.patch9.txt PATCHES/alt_scaffolds/AGP/alt.scaf.agp.gz # output to stdout is the contents of alt.scaf.agp.gz # constructs files: ctgPos.txt chromInfo.txt gold.txt and gap.txt cp -p ../patch5/mkCtgPos2.pl . ./mkCtgPos2.pl ucscNames.patch9.txt patches.chrom.sizes > ctgPos2.txt cp -p ../patch5/mkHapLocate.pl . ./mkHapLocate.pl ctgPos.txt \ PATCHES/alt_scaffolds/alt_scaffold_placement.txt \ > haplotypeLocations.bed cp -p haplotypeLocations.bed altSequence.bed ln -s ../patch2/before.patch2.hapLoc.bed hg19.hapLoc.bed awk '{printf "%s\t%d\t%d\t%s\t500\t+\t%d\t%d\t32,32,190\n", $2,$3,$4,$5,$3,$4}' \ hg19.hapLoc.bed >> altSequence.bed # a new script for patch9 cp -p ../patch5/mkFasta.pl . ./mkFasta.pl ucscNames.patch9.txt > hg19.patch9.fa # the build of hg19Patch9 can be seen in hg19Patch9.txt egrep -v "32,32,190" altSequence.bed \ | awk '{printf "%s\t%d\t%d\t%s\t%d\t%s\n", $1,$2,$3,$4,$5,$6}' \ > altSeqPatchesP9.tab egrep "32,32,190" altSequence.bed \ | awk '{printf "%s\t%d\t%d\t%s\t%d\t%s\n", $1,$2,$3,$4,$5,$6}' \ > altSeqHaplotypesP9.tab # verify none lost wc -l altSeqPatchesP9.tab altSeqHaplotypesP9.tab # 82 altSeqPatchesP9.tab # 81 altSeqHaplotypesP9.tab # 163 total wc -l altSequence.bed # 163 altSequence.bed hgLoadBed hg19 altSeqHaplotypesP9 altSeqHaplotypesP9.tab # Loaded 75 elements of size 6 # do not need the chrM_rCRS item: hgsql -e 'delete from altSeqHaplotypesP9 where chrom="chrM_rCRS";' hg19 hgLoadBed hg19 altSeqPatchesP9 altSeqPatchesP9.tab # Loaded 41 elements of size 6 # these tables are part of human/hg19/altSeqComposite9.ra # to replace the existing track: grep -v "^chrM_rCRS" altSeqHaplotypesP9.tab \ | hgLoadBed hg19 altSeqHaplotypes stdin # Read 80 elements of size 6 from stdin hgLoadBed hg19 altSeqPatches altSeqPatchesP9.tab # Read 82 elements of size 6 from altSeqPatchesP9.tab ############################################################################## # hg19 - Human - Ensembl Genes version 62 (DONE - 2011-04-22 - hiram) # This human gene set need a lot of work to get the name translation # to work again. The contig names have changed in Ensembl for this # version and they defined genes on patch sequence that UCSC does not # include ssh hgwdev cd /hive/data/genomes/hg19 cat << '_EOF_' > hg19.ensGene.ra # required db variable db hg19 # optional nameTranslation, the sed command that will transform # Ensemble names to UCSC names. With quotes just to make sure. # delete commands take out genes that are only in patch sequence nameTranslation 's/^\([0-9XY][0-9]*\)/chr\1/; s/^MT/chrM/; /^GL3.*/d; /^HSCHR[1-5]/d; /^HSCHR[7-9]/d; /^HG/d' # optionally update the ensToEnsembl table after ensGene updated ensToEnsembl yes # optional haplotype lift-down from Ensembl full chrom coordinates # to UCSC simple haplotype coordinates haplotypeLift /hive/data/genomes/hg19/jkStuff/ensGene.haplotype.lift # Ensembl 62 has new sequence names for some of the random bits liftUp /hive/data/genomes/hg19/jkStuff/ens.62.lft '_EOF_' # << happy emacs doEnsGeneUpdate.pl -ensVersion=62 hg19.ensGene.ra ssh hgwdev cd /hive/data/genomes/hg19/bed/ensGene.62 featureBits hg19 ensGene # 109947258 bases of 2897316137 (3.795%) in intersection hgsql -e \ 'update trackVersion set dateReference="current" where db="hg19" AND version=62;' hgFixed ############################################################################ # BUILD hg19 GERP TRACK (DONE 4/25/11, Fan) ssh hgwdev mkdir /hive/data/genomes/hg19/bed/gerp cd /hive/data/genomes/hg19/bed/gerp # place the wig data file, All_hg19_RS.wig, here. ulimit -d 180000000 ulimit -v 180000000 wigToBigWig All_hg19_RS.wig /hive/data/genomes/hg19/chrom.sizes All_hg19_RS.bw ln -s `pwd`/All_hg19_RS.bw /gbdb/hg19/bbi/All_hg19_RS.bw hgsql hg19 -e 'drop table if exists allHg19RS_BW; \ create table allHg19RS_BW (fileName varchar(255) not null); \ insert into allHg19RS_BW values ("/gbdb/hg19/bbi/All_hg19_RS.bw");' # create corresponding trackDb.ra section and html description page. ######################################################################### # LASTZ Cow BosTau6 (DONE - 2011-05-16 - Chin) mkdir /hive/data/genomes/hg19/bed/lastzBosTau6.2011-05-16 cd /hive/data/genomes/hg19/bed/lastzBosTau6.2011-05-16 cat << '_EOF_' > DEF # human vs cow # maximum M allowed with lastz is only 254 BLASTZ_M=254 # TARGET: Human hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Cow bosTau6 SEQ2_DIR=/scratch/data/bosTau6/bosTau6.2bit SEQ2_LEN=/scratch/data/bosTau6/chrom.sizes SEQ2_CHUNK=10000000 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzBosTau6.2011-05-16 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -syntenicNet \ -noLoadChainSplit \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ -chainMinScore=3000 -chainLinearGap=medium > do.log 2>&1 # real 481m23.263s cat fb.hg19.chainBosTau6Link.txt # 1370696434 bases of 2897316137 (47.309%) in intersection # Create link cd /hive/data/genomes/hg19/bed ln -s lastzBosTau6.2011-05-16 lastz.bosTau6 # running the swap mkdir /hive/data/genomes/bosTau6/bed/blastz.hg19.swap cd /hive/data/genomes/bosTau6/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzBosTau6.2011-05-16/DEF \ -swap -syntenicNet \ -noLoadChainSplit \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ -chainMinScore=3000 -chainLinearGap=medium > swap.log 2>&1 # real 98m22.477s cat fb.bosTau6.chainHg19Link.txt # 1336966333 bases of 2649682029 (50.458%) in intersection cd /hive/data/genomes/bosTau6/bed ln -s blastz.hg19.swap lastz.hg19 ################################################################### # BUILD OMIM RELATED TRACKS (REBUILT 5/17/11, Fan) ssh hgwdev cd /hive/data/genomes/hg19/bed mkdir -p omim/05172011 cd omim/05172011 # obtain the following files from OMIM and place them at this subdirectory genemap.txt mim2gene.txt mimAV.txt script1.pl script2.pl cat genemap.txt|sed -e 's/|/\t/g' > genemap.tab hgLoadSqlTab -warn hg19 omimGeneMap ~/kent/src/hg/lib/omimGeneMap.sql genemap.tab # Load mim2gene table hgsql hg19 -e 'drop table mim2gene' hgsql hg19 < ~/kent/src/hg/lib/mim2gene.sql hgsql hg19 -e 'load data local infile "mim2gene.txt" into table mim2gene ignore 1 lines' doOmimDisorders hg19 omimDisorderMap.tab hgsql hg19 -e "drop table omimDisorderMap" hgsql hg19 < ~/kent/src/hg/lib/omimDisorderMap.sql hgLoadSqlTab -warn hg19 omimDisorderMap ~/kent/src/hg/lib/omimDisorderMap.sql omimDisorderMap.tab # build omimGeneSymbol table doOmimGeneSymbols hg19 j.out cat j.out |sort -u >omimGeneSymbol.tab hgLoadSqlTab -warn hg19 omimGeneSymbol ~/kent/src/hg/lib/omimGeneSymbol.sql omimGeneSymbol.tab perl ./script1.pl --gene-map-file=genemap.txt >omimPhenotype.tab hgLoadSqlTab -warn hg19 omimPhenotype ~/kent/src/hg/lib/omimPhenotype.sql omimPhenotype.tab hgsql hg19 -e 'update omimPhenotype set phenotypeClass = -1 where phenotypeClass=0' hgsql hg19 -e 'update omimPhenotype set phenotypeId = -1 where phenotypeId=0' doOmimGene2 hg19 j.tmp cat j.tmp |sort -u > omimGene2.tab hgLoadBed hg19 omimGene2 omimGene2.tab rm j.tmp ############################################################## # build the omimAvSnp track cd /hive/data/genomes/hg19/bed/omim/05172011 mkdir av cd av # get the mimAV.txt data file from OMIM cut -f 1 mimAV.txt >j1 cut -f 2 mimAV.txt >j2 cut -f 3 mimAV.txt >j3 cut -f 4 mimAV.txt >j4 cut -f 5 mimAV.txt >j5 cat j1 |sed -e 's/\./\t/' >j1.2 cat j4 |sed -e 's/,/\t/' >j4-2 cut -f 1 j4-2 >j4.1 cut -f 2 j4-2 >j4.2 paste j1 j1.2 j3 j4 j4.1 j4.2 j5 j2 >omimAv.tab hgsql hg19 -e 'drop table omimAv' hgsql hg19 < ~/src/hg/lib/omimAv.sql hgsql hg19 -e \ 'load data local infile "omimAv.tab" into table omimAv ignore 1 lines' hgsql hg19 -e 'update omimAv set repl2 = rtrim(ltrim(repl2))' doOmimAv hg19 omimAvRepl.tab 2>j.err hgsql hg19 -e "drop table omimAvRepl" hgsql hg19 < ~/kent/src/hg/lib/omimAvRepl.sql hgsql hg19 -e 'load data local infile "omimAvRepl.tab" into table omimAvRepl' rm j1.2 j1 j2 j3 j4 j4-2 j4.1 j4.2 j5 hgsql hg19 -N -e 'select chrom, chromStart, chromEnd, avId from omimAvRepl r, snp132 s where s.name = dbSnpId order by avId' >omimAvSnp.tab hgLoadBed -allowStartEqualEnd hg19 omimAvSnp omimAvSnp.tab ############################################################## # build the omimLocation track cd /hive/data/genomes/hg19/bed/omim/05172011 mkdir location cd location doOmimLocation hg19 omimLocation.bed 2>j.err hgLoadBed hg19 omimLocation omimLocation.bed # Remove all gene entries in omimGene2 from omimLocation table hgsql hg19 -N -e \ 'delete from omimLocation where name in (select name from omimGene2) ' # Per OMIM request, delete all the gray entries in omimLocation table. mkdir cleanUpOmimLocation cd cleanUpOmimLocation hgsql hg19 -N -e \ 'select distinct name from omimLocation' |sort -u >j.all hgsql hg19 -N -e \ 'select distinct name from omimLocation, omimPhenotype where name=omimId and phenotypeClass=1' >j.1 hgsql hg19 -N -e \ 'select distinct name from omimLocation, omimPhenotype where name=omimId and phenotypeClass=2' >j.2 hgsql hg19 -N -e \ 'select distinct name from omimLocation, omimPhenotype where name=omimId and phenotypeClass=3' >j.3 hgsql hg19 -N -e \ 'select distinct name from omimLocation, omimPhenotype where name=omimId and phenotypeClass=4' >j.4 cat j.1 j.2 j.3 j.4 |sort -u >j.1234 diff j.all j.1234 |grep "<" |sed -e 's/</do1/' >doall cat << '_EOF_' > do1 hgsql hg19 -e "delete from omimLocation where name='${1}'" '_EOF_' # << emacs ./doall ############################################################################ # NUMTS TRACK (DONE 2011-06-03 - Chin) mkdir -p /hive/data/outside/Numts/hg19 cd /hive/data/outside/Numts/hg19 wget http://193.204.182.50/files/hg19/all_hg19_NumtS_tracks.txt wget http://193.204.182.50/files/hg19/HSA_NumtS_hg19_details.html wget http://193.204.182.50/files/bam/allNumtS.sorted.bam wget http://193.204.182.50/files/bam/allNumtS.sorted.bam.bai mkdir /cluster/data/hg19/bed/NumtS cd /cluster/data/hg19/bed/NumtS cp /hive/data/outside/Numts/hg19/*.* . # split the all_hg19_NumtS_tracks.txt into 3 bed files # numtSAssembled.bed, numtS.bed, an numtSMitochondrion.bed cat all_hg19_NumtS_tracks.txt | awk ' /^track name/ {print $_}' > tracks.list cat all_hg19_NumtS_tracks.txt | awk ' /^track type/ {print $_}' >> tracks.list # load the 3 bed files to hg19 hgLoadBed hg19 numtSAssembled numtSAssembled.bed hgLoadBed hg19 numtS numtS.bed hgLoadBed hg19 numtSMitochondrion numtSMitochondrion.bed # Make /gbdb/ links and load bam mkdir /gbdb/hg19/NumtS ln -s `pwd`/allNumtS.sorted.bam{,.bai} /gbdb/hg19/NumtS/ hgBbiDbLink hg19 bamAllNumtSSorted /gbdb/hg19/NumtS/allNumtS.sorted.bam # setup trackDb for hg19 ############################################################################ # Add Gene name search to Ensembl gene track (DONE - 2011-07-22 - Hiram) cd /hive/data/genomes/hg19/bed/ensGene.62/process cut -f1,9 infoOut.txt | grep -v "^#" | sort > ensemblToGeneName.tab NL=`awk '{print length($1)}' ensemblToGeneName.tab | sort -rn | head -1` VL=`awk '{print length($2)}' ensemblToGeneName.tab | sort -rn | head -1` sed -e "s/ ensTo / ensemblToGeneName /; s/ens gene/ensGen/; s/INDEX(name(12)/PRIMARY KEY(name($NL)/; s/value(12)/value($VL)/" \ $HOME/kent/src/hg/lib/ensTo.sql > ensemblToGeneName.sql hgLoadSqlTab hg19 ensemblToGeneName ensemblToGeneName.sql ensemblToGeneName.tab # add this search specification to trackDb.ra searchName ensGeneName searchTable ensGene searchType genePred searchMethod prefix xrefTable ensemblToGeneName xrefQuery select name,value from %s where value like '%%%s%%' searchPriority 50 ############################################################################ # COSMIC TRACK (DONE 2011-07-15 Fan) mkdir /hive/data/outside/cosmic/20110711 # put raw data file, EnsMutExp_v54_080711.csv, received by email to there. mkdir /hive/data/genomes/hg19/bed/cosmic/20110711 cd /hive/data/genomes/hg19/bed/cosmic/20110711 cp -p /hive/data/outside/cosmic/20110711/EnsMutExp_v54_080711.csv . cat EnsMutExp_v54_080711.csv|sed -e 's/\t//g' |sed -e 's/,/\t/g' |\ grep -v COSMIC_MUTATION_ID |grep -v 'selected'|grep COSM >EnsMutExp_v54_080711.tab hgsql hg19 -e 'drop table cosmicRaw' hgsql hg19 < ~/kent/src/hg/lib/cosmicRaw.sql hgLoadSqlTab hg19 cosmicRaw ~/kent/src/hg/lib/cosmicRaw.sql EnsMutExp_v54_080711.tab # use grch37_start-1 for our zero based chromStart and # conver their chr23 and chr24 to chrX and chrY. hgsql hg19 -N -e 'select "chr", chromosome, grch37_start-1, grch37_stop, cosmic_mutation_id from cosmicRaw' \ |grep -v NULL |sed -e 's/chr\t/chr/'|sort -u|sed -e 's/chr23/chrX/' |sed -e 's/chr24/chrY/' >cosmic.bed hgLoadBed -allowStartEqualEnd hg19 cosmic cosmic.bed ############################################################################# # HI SEQ DEPTH (DONE 7/15/11 angie) mkdir /hive/data/genomes/hg19/bed/hiSeqDepth cd /hive/data/genomes/hg19/bed/hiSeqDepth foreach cov (001 005 01 05 1) wget --timestamp http://eqtl.uchicago.edu/Masking/seq.cov$cov.ONHG19.bed.gz gunzip -N seq.cov$cov.ONHG19.bed.gz end wc -l seq.cov* # 522 seq.cov001.ONHG19.bed # 1224 seq.cov005.ONHG19.bed # 2060 seq.cov01.ONHG19.bed # 16119 seq.cov05.ONHG19.bed # 30671 seq.cov1.ONHG19.bed foreach cov (001 005 01 05 1) echo seq.cov$cov.ONHG19.bed featureBits -countGaps hg19 seq.cov$cov.ONHG19.bed end #seq.cov001.ONHG19.bed #55092 bases of 3137161264 (0.002%) in intersection #seq.cov005.ONHG19.bed #175379 bases of 3137161264 (0.006%) in intersection #seq.cov01.ONHG19.bed #344425 bases of 3137161264 (0.011%) in intersection #seq.cov05.ONHG19.bed #3073270 bases of 3137161264 (0.098%) in intersection #seq.cov1.ONHG19.bed #5736695 bases of 3137161264 (0.183%) in intersection # Compare hg19 coverage to hg18: calc 55092 / 57409 #55092 / 57409 = 0.959640 calc 175379 / 183848 #175379 / 183848 = 0.953935 calc 344425 / 362423 #344425 / 362423 = 0.950340 calc 3073270 / 3462959 #3073270 / 3462959 = 0.887469 calc 5736695 / 6466376 #5736695 / 6466376 = 0.887158 # Not all small ones are strict subsets of larger ones. featureBits hg19 -countGaps seq.cov001.ONHG19.bed \!seq.cov005.ONHG19.bed #128 bases of 3137161264 (0.000%) in intersection featureBits hg19 -countGaps seq.cov005.ONHG19.bed \!seq.cov01.ONHG19.bed #222 bases of 3137161264 (0.000%) in intersection featureBits hg19 -countGaps seq.cov01.ONHG19.bed \!seq.cov05.ONHG19.bed #4185 bases of 3137161264 (0.000%) in intersection featureBits hg19 -countGaps seq.cov05.ONHG19.bed \!seq.cov1.ONHG19.bed #41831 bases of 3137161264 (0.001%) in intersection # No overlap w/gap track: featureBits hg19 -countGaps seq.cov1.ONHG19.bed gap -bed=gapOverlaps.ONHG19.bed #0 bases of 3137161264 (0.000%) in intersection # Load tables: hgLoadBed hg19 hiSeqDepthTopPt1Pct seq.cov001.ONHG19.bed #Loaded 522 elements of size 3 hgLoadBed hg19 hiSeqDepthTopPt5Pct seq.cov005.ONHG19.bed #Loaded 1224 elements of size 3 hgLoadBed hg19 hiSeqDepthTop1Pct seq.cov01.ONHG19.bed #Loaded 2060 elements of size 3 hgLoadBed hg19 hiSeqDepthTop5Pct seq.cov05.ONHG19.bed #Loaded 16119 elements of size 3 hgLoadBed hg19 hiSeqDepthTop10Pct seq.cov1.ONHG19.bed #Loaded 30671 elements of size 3 ############################################################################ # adding new decode data (DONE - 2011-08-18 - Hiram) # liftOver from hg18 tracks: mkdir /hive/data/outside/decode/hg19 cd /hive/data/outside/decode/hg19 # some of the items end up overlapping as result of liftOver, # this filters them out: export OVERLAPS="9202536|9235404|9225403|9215395|9192536|9182536|9172536|110561813|110582154|110572154|110552191|110542194|110532192|110522233|110512223|110502226|110492220|110482221|110472216|36283195|36273203|36252392|81325902|36262322" for T in female female_carrier female_noncarrier male male_carrier \ male_noncarrier sex-averaged sex-averaged_carrier \ sex-averaged_noncarrier maleFemale do liftOver ../hg18/${T}.bedGraph \ /hive/data/genomes/hg18/bed/liftOver/hg18ToHg19.over.chain.gz \ ${T}.hg19.txt ${T}.unMapped.bedGraph wc -l ${T}.hg19.txt ${T}.unMapped.bedGraph awk '$3-$2 > 8000 && $3-$2 < 12000' ${T}.hg19.txt | sort -k1,1 -k2,2n \ | egrep -v "${OVERLAPS}" > ${T}.hg19.bedGraph awk '$3-$2 < 8001 || $3-$2 > 11999' ${T}.hg19.txt >> ${T}.unMapped.bedGraph awk '$3-$2 > 8000 && $3-$2 < 12000' ${T}.hg19.txt | sort -k1,1 -k2,2n \ | egrep "${OVERLAPS}" >> ${T}.unMapped.bedGraph bedGraphToBigWig ${T}.hg19.bedGraph /hive/data/genomes/hg19/chrom.sizes ${T}.bw wc -l ${T}.hg19.txt ${T}.hg19.bedGraph ${T}.unMapped.bedGraph done # load the bigWig files into SQL table name friendly tables: mkdir /gbdb/hg19/decode for C in female female_carrier female_noncarrier \ male male_carrier male_noncarrier \ sex-averaged sex-averaged_carrier sex-averaged_noncarrier do N=${C} case ${C} in female) N="Female" ;; female_carrier) N="FemaleCarrier" ;; female_noncarrier) N="FemaleNonCarrier" ;; male) N="Male" ;; male_carrier) N="MaleCarrier" ;; male_noncarrier) N="MaleNonCarrier" ;; sex-averaged) N="SexAveraged" ;; sex-averaged_carrier) N="SexAveragedCarrier" ;; sex-averaged_noncarrier) N="SexAveragedNonCarrier" ;; esac echo $C $N rm -f /gbdb/hg19/decode/${C}.bw /gbdb/hg19/decode/${N}.bw ln -s `pwd`/${C}.bw /gbdb/hg19/decode/${N}.bw hgsql -e "drop table decode${N};" hg19 hgBbiDbLink hg19 decode${N} /gbdb/hg19/decode/${N}.bw done # compute male - female difference awk '{printf "%s_%d_%d\t%s\n", $1, $2, $3, $4}' male.hg19.bedGraph \ | sort > ordered.male.txt awk '{printf "%s_%d_%d\t%s\n", $1, $2, $3, $4}' female.hg19.bedGraph \ | sort > ordered.female.txt join ordered.male.txt ordered.female.txt > maleFemale.txt awk '{printf "%s\t%.6f\n", $1, $2-$3}' maleFemale.txt \ | sed -e "s/_/\t/g" | sort -k1,1 -k2,2n > maleFemale.bedGraph # same result as what was lifted: sum maleFemale.hg19.bedGraph maleFemale.bedGraph # 14015 7950 maleFemale.hg19.bedGraph # 14015 7950 maleFemale.bedGraph # and hot spots awk '$4 > 9.99' female.hg19.bedGraph > hotSpotFemale.bed awk '$4 > 9.99' male.hg19.bedGraph > hotSpotMale.bed hgLoadBed hg19 decodeHotSpotFemale hotSpotFemale.bed # Loaded 4135 elements of size 4 hgLoadBed hg19 decodeHotSpotMale hotSpotMale.bed # Loaded 4771 elements of size 4 bedGraphToBigWig maleFemale.bedGraph /hive/data/genomes/hg19/chrom.sizes \ MaleFemaleDifference.bw ln -s `pwd`/MaleFemaleDifference.bw /gbdb/hg19/decode/ hgsql -e "drop table decodeMaleFemaleDifference;" hg19 hgBbiDbLink hg19 decodeMaleFemaleDifference /gbdb/hg19/decode/MaleFemaleDifference.bw ############################################################################# # DBSNP B134 / SNP134 (DONE 9/1/11) # Redmine #5133 # Originally run 8/30/11; re-run 9/1/11 to incorporate 1000 Genomes frequency data # that dbSNP had moved out to a new database table, SNPAlleleFreq_TGP. mkdir -p /hive/data/outside/dbSNP/134/human cd /hive/data/outside/dbSNP/134/human # Look at the directory listing of ftp://ftp.ncbi.nih.gov/snp/database/organism_data/ # to find the subdir name to use as orgDir below (human_9606 in this case). # Then click into that directory and look for file names like # b(1[0-9][0-9])_*_([0-9]+_[0-9]) # -- use the first num for build and the second num_num for buildAssembly. # jkStuff/liftContigs.lft maps NCBI contig names to chroms; use that for liftUp. # # Some trial and error was required to get the config.ra just right -- assembly # label now has ".p2" at end, and GRCh37 patch contigs needed to be filtered out: cat > config.ra <<EOF db hg19 orgDir human_9606 build 134 buildAssembly 37_2 liftUp /hive/data/genomes/hg19/jkStuff/liftContigs.lft refAssemblyLabel GRCh37.p2 ignoreDbSnpContigs NW_0033159[0-9][0-9] EOF # << emacs ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra >& do.log & tail -f do.log ############################################################################# # FILTER SNP134 (DONE 9/2/11 angie) # Redmine #5133 # Make several tracks that are filtered subsets of snp134: # First, filter out the multiply-aligned and/or weight >1 SNPs -> snp134Mult # Second, siphon off the common variants -> snp134Common # Third, take the (uniquely mapped, not ens to be common) variants # w/dbSNP's "clinically-assoc" flag -> snp134Flagged cd /hive/data/outside/dbSNP/134/human zcat snp134.bed.gz \ | perl -we \ '$minTotal2N = 10; \ ($multCount, $comCount, $flagCount, $miscCount) = (0,0,0,0); \ open($mult, "| gzip -c > snp134Mult.bed.gz") || die; \ open($common, "| gzip -c > snp134Common.bed.gz") || die; \ open($flagged, "| gzip -c > snp134Flagged.bed.gz") || die; \ open($misc, "| gzip -c > snp134Misc.bed.gz") || die; \ while (<>) { \ @w = split("\t"); \ if ($w[16] > 1 || $w[17] =~ /MultipleAlignments/) { \ print $mult $_; \ $multCount++; \ } else { \ my ($alleleFreqCount, $nStr, $freqStr) = ($w[20], $w[22], $w[23]); \ my @alNs = split(",", $nStr); die unless scalar(@alNs) == $alleleFreqCount; \ my @freqs = split(",", $freqStr); die unless scalar(@freqs) == $alleleFreqCount; \ my ($total2N, $maxAlleleFreq) = (0, 0); \ for (my $i = 0; $i < $alleleFreqCount; $i++) { \ $total2N += $alNs[$i]; \ $maxAlleleFreq = $freqs[$i] if ($freqs[$i] > $maxAlleleFreq); \ } \ if ($alleleFreqCount >= 2 && $total2N >= $minTotal2N && $maxAlleleFreq <= 0.99) { \ print $common $_; \ $comCount++; \ } elsif($w[24] =~ /clinically-assoc/) { \ print $flagged $_; \ $flagCount++; \ } else { \ print $misc $_; \ $miscCount++; \ } \ } \ } \ close($mult); close($common); close($flagged); close($misc); \ print "snp134Mult: $multCount\nsnp134Common: $comCount\nsnp134Flagged: $flagCount\n" . \ "leftover: $miscCount\n";' #snp134Mult: 3603177 #snp134Common: 13413905 #snp134Flagged: 26496 #leftover: 26910747 # Load tables foreach subset (Mult Common Flagged) hgLoadBed -tab -onServer -tmpDir=/data/tmp -allowStartEqualEnd -renameSqlTable \ hg19 snp134$subset -sqlTable=snp134.sql snp134$subset.bed.gz end ############################################################################# # SNP134 ORTHOLOGOUS ALLELES IN CHIMP, ORANG, MACAQUE (DONE 9/2/11 angie) mkdir /hive/data/genomes/hg19/bed/snp134Ortho cd /hive/data/genomes/hg19/bed/snp134Ortho # Filter snp134 to to keep only uniquely mapped biallelic SNVs (class=single, length=1); zcat /hive/data/outside/dbSNP/134/human/snp134.bed.gz \ | awk '$18 ~ /^MultipleAlignments|SingleClassTriAllelic|SingleClassQuadAllelic/ {print $4;}' \ | sort -u \ > snp134ExcludeIds.txt wc -l snp134ExcludeIds.txt #1178007 snp134ExcludeIds.txt zcat /hive/data/outside/dbSNP/134/human/snp134.bed.gz \ | awk '$3-$2 == 1 && $11 == "single" {print;}' \ | grep -vFwf snp134ExcludeIds.txt \ > snp134Simple.bed wc -l snp134Simple.bed #32818637 snp134Simple.bed # Glom all human info that we need for the final table onto the # name, to sneak it through liftOver: rsId|chr|start|end|obs|ref|strand awk 'BEGIN{OFS="\t";} \ {print $1, $2, $3, \ $4 "|" $1 "|" $2 "|" $3 "|" $9 "|" $8 "|" $6, \ 0, $6;}' \ snp134Simple.bed > snp134ForLiftOver.bed # Map coords to chimp using liftOver. mkdir run.liftOChimp cd run.liftOChimp mkdir split out splitFile ../snp134ForLiftOver.bed 10000 split/chunk cp /dev/null jobList foreach f (split/chunk*) echo liftOver $f \ /hive/data/genomes/hg19/bed/liftOver/hg19ToPanTro3.over.chain.gz \ \{check out exists out/panTro3.$f:t.bed\} out/hg19.$f:t.unmapped \ >> jobList end ssh swarm cd /hive/data/genomes/hg19/bed/snp134Ortho/run.liftOChimp para make jobList #Completed: 3282 of 3282 jobs #CPU time in finished jobs: 314951s 5249.18m 87.49h 3.65d 0.010 y #IO & Wait Time: 32669s 544.49m 9.07h 0.38d 0.001 y #Average job time: 106s 1.77m 0.03h 0.00d #Longest finished job: 268s 4.47m 0.07h 0.00d #Submission to last job: 444s 7.40m 0.12h 0.01d # Map coords to orangutan using liftOver. mkdir ../run.liftOPon cd ../run.liftOPon mkdir out ln -s ../run.liftOChimp/split . cp /dev/null jobList foreach f (split/chunk*) echo liftOver $f \ /hive/data/genomes/hg19/bed/liftOver/hg19ToPonAbe2.over.chain.gz \ \{check out exists out/ponAbe2.$f:t.bed\} out/hg19.$f:t.unmapped \ >> jobList end para make jobList #Completed: 3282 of 3282 jobs #CPU time in finished jobs: 681601s 11360.02m 189.33h 7.89d 0.022 y #IO & Wait Time: 57733s 962.21m 16.04h 0.67d 0.002 y #Average job time: 225s 3.75m 0.06h 0.00d #Longest finished job: 586s 9.77m 0.16h 0.01d #Submission to last job: 1598s 26.63m 0.44h 0.02d # Map coords to macaque using liftOver. mkdir ../run.liftOMac cd ../run.liftOMac mkdir out ln -s ../run.liftOChimp/split . cp /dev/null jobList foreach f (split/chunk*) echo liftOver $f \ /hive/data/genomes/hg19/bed/liftOver/hg19ToRheMac2.over.chain.gz \ \{check out exists out/rheMac2.$f:t.bed\} out/hg19.$f:t.unmapped \ >> jobList end para make jobList #Completed: 3282 of 3282 jobs #CPU time in finished jobs: 826108s 13768.47m 229.47h 9.56d 0.026 y #IO & Wait Time: 68165s 1136.08m 18.93h 0.79d 0.002 y #Average job time: 272s 4.54m 0.08h 0.00d #Longest finished job: 679s 11.32m 0.19h 0.01d #Submission to last job: 1775s 29.58m 0.49h 0.02d cd /hive/data/genomes/hg19/bed/snp134Ortho # Concatenate the chimp results, sorting by chimp pos in order to # efficiently access 2bit sequence in getOrthoSeq. The output of # that is then sorted by the glommed human info field, so that we # can use join to combine chimp and macaque results in the next step. # Ditto for macaque and orangutan. Each command pipe takes ~6 minutes: sort -k1,1 -k2n,2n run.liftOChimp/out/panTro3.chunk*.bed \ | ~/kent/src/hg/snp/snpLoad/getOrthoSeq.pl /cluster/data/panTro3/panTro3.2bit \ | sort > panTro3.orthoGlom.txt sort -k1,1 -k2n,2n run.liftOPon/out/ponAbe2.chunk*.bed \ | ~/kent/src/hg/snp/snpLoad/getOrthoSeq.pl /cluster/data/ponAbe2/ponAbe2.2bit \ | sort > ponAbe2.orthoGlom.txt sort -k1,1 -k2n,2n run.liftOMac/out/rheMac2.chunk*.bed \ | ~/kent/src/hg/snp/snpLoad/getOrthoSeq.pl /cluster/data/rheMac2/rheMac2.2bit \ | sort > rheMac2.orthoGlom.txt wc -l panTro3.orthoGlom.txt ponAbe2.orthoGlom.txt rheMac2.orthoGlom.txt #30880910 panTro3.orthoGlom.txt #29376791 ponAbe2.orthoGlom.txt #26505681 rheMac2.orthoGlom.txt # Use the glommed name field as a key to join up chimp and macaque # allele data. Include glommed name from both files because if only # file 2 has a line for the key in 2.1, then 1.1 is empty. Then plop # in the orthoGlom fields from each file, which are in the same order # as the chimp and macaque columns of snp134OrthoPanTro2RheMac2. join -o '1.1 2.1 1.2 1.3 1.4 1.5 1.6 2.2 2.3 2.4 2.5 2.6' \ -a 1 -a 2 -e '?' \ panTro3.orthoGlom.txt ponAbe2.orthoGlom.txt \ | awk '{if ($1 != "?") { print $1, $3,$4,$5,$6,$7,$8,$9,$10,$11,$12; } \ else { print $2, $3,$4,$5,$6,$7,$8,$9,$10,$11,$12; }}' \ > tmp.txt join -o '1.1 2.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 1.10 1.11 2.2 2.3 2.4 2.5 2.6' \ -a 1 -a 2 -e '?' \ tmp.txt rheMac2.orthoGlom.txt \ | perl -wpe 'chomp; \ ($glom12, $glom3, $o1Chr, $o1Start, $o1End, $o1Al, $o1Strand, \ $o2Chr, $o2Start, $o2End, $o2Al, $o2Strand, \ $o3Chr, $o3Start, $o3End, $o3Al, $o3Strand) = split; \ $glomKey = ($glom12 ne "?") ? $glom12 : $glom3; \ ($rsId, $hChr, $hStart, $hEnd, $hObs, $hAl, $hStrand) = \ split(/\|/, $glomKey); \ $o1Start =~ s/^\?$/0/; $o2Start =~ s/^\?$/0/; $o3Start =~ s/^\?$/0/; \ $o1End =~ s/^\?$/0/; $o2End =~ s/^\?$/0/; $o3End =~ s/^\?$/0/; \ print join("\t", $hChr, $hStart, $hEnd, $rsId, $hObs, $hAl, $hStrand, \ $o1Chr, $o1Start, $o1End, $o1Al, $o1Strand, \ $o2Chr, $o2Start, $o2End, $o2Al, $o2Strand, \ $o3Chr, $o3Start, $o3End, $o3Al, $o3Strand) . "\n"; \ s/^.*$//;' \ | sort -k1,1 -k2n,2n > snp134OrthoPt3Pa2Rm2.bed hgLoadBed -tab -onServer -tmpDir=/data/tmp -renameSqlTable \ -sqlTable=$HOME/kent/src/hg/lib/snpOrthoPanPonRhe.sql \ hg19 snp134OrthoPt3Pa2Rm2 snp134OrthoPt3Pa2Rm2.bed #Loaded 31924973 elements of size 22 # Cleanup: rm -r run*/split tmp.txt *.orthoGlom.txt bed.tab gzip snp134Simple.bed snp134ExcludeIds.txt snp134ForLiftOver.bed & ############################################################################ # DBSNP CODING ANNOTATIONS (134) (DONE 8/30/11 angie) # It wasn't necessary to redo this following the 9/1 re-run of doDbSnp.pl because # that simply picked up new allele frequency info, no change to exceptions etc. cd /hive/data/outside/dbSNP/134/human # ncbiFuncAnnotations.txt has NCBI coords: 0-based, fully closed. # For anything except an insertion (0 bases between flanks), # we need to add 1 to the end coord. For an insertion, we need # to add 1 to the start coord. Make a hash of the insertion IDs, # then look up each ID in ncbiFuncAnnotations.txt to tell which # transform to apply. # Note: sort -u with the keys below is too restrictive -- we need full line uniq. zcat ncbiFuncAnnotations.txt.gz \ | perl -we 'open($IDS, "zcat ncbiFuncInsertions.ctg.bed.gz |") || die "ids: $!"; \ while (<$IDS>) { chomp; $ids{$_} = 1; } \ close($IDS); \ %coding = (2=>1, 3=>1, 4=>1, 8=>1, 9=>1, 41=>1, 42=>1, 44=>1, 45=>1); \ while (<>) { \ chomp; @w = split("\t"); # id, ctg, start, end, ... \ next unless $coding{$w[5]}; \ $bed4 = join("\t", $w[1], $w[2], $w[3], $w[0]); \ if (exists $ids{$bed4} && $w[3] == $w[2]+1) { \ $w[2]++; # 2-base insertions: increment start coord \ } else { \ $w[3]++; # increment end coord to get half-open \ } \ print join("\t", @w) . "\n"; \ }' \ | sort -k1n,1n -k2,2 -k3n,3n -k5,5 -k6n,6n \ | uniq \ > ncbiCodingAnnotations.txt wc -l ncbiCodingAnnotations.txt #2510704 ncbiCodingAnnotations.txt # How many & what kinds of function types? cut -f 6 ncbiCodingAnnotations.txt \ | sort -n | uniq -c # 461567 3 (coding-synon) #1244159 8 (cds-reference -- ignored) # 21296 41 (nonsense) # 729942 42 (missense) # 52778 44 (frameshift) # 962 45 (cds-indel) # Gather up multiple annotation lines into one line per {snp, gene, frame}: perl -e 'while (<>) { chomp; \ my ($rsId, $ctg, $s, $e, $txId, $fxn, $frm, $nt, $aa, $codon) = split("\t"); \ if (defined $lastRs && \ ($lastRs != $rsId || $lastCtg ne $ctg || $lastS != $s || \ $lastTx ne $txId || $lastFrm ne $frm)) { \ if (defined $refRow) { \ $fxns = "$refRow->[0],$fxns"; $nts = "$refRow->[1],$nts"; \ $aas = "$refRow->[2],$aas"; $codons = "$refRow->[3],$codons"; \ } \ print "$lastCtg\t$lastS\t$lastE\trs$lastRs\t$lastTx\t$lastFrm\t" . \ "$count\t$fxns\t$nts\t$codons\t$aas\n"; \ $refRow = undef; @rows = (); ($count, $fxns, $nts, $codons, $aas) = (); \ } \ ($lastRs, $lastCtg, $lastS, $lastE, $lastTx, $lastFrm) = \ ($rsId, $ctg, $s, $e, $txId, $frm); \ $count++; \ if ($fxn == 8) { \ $refRow = [$fxn, $nt, $aa, $codon]; \ } else { \ $fxns .= "$fxn,"; $nts .= "$nt,"; $aas .= "$aa,"; $codons .= "$codon,"; \ } \ } \ if (defined $refRow) { \ $fxns = "$refRow->[0],$fxns"; $nts = "$refRow->[1],$nts"; \ $aas = "$refRow->[2],$aas"; $codons = "$refRow->[3],$codons"; \ } \ print "$lastCtg\t$lastS\t$lastE\trs$lastRs\t$lastTx\t$lastFrm\t" . \ "$count\t$fxns\t$nts\t$codons\t$aas\n";' \ ncbiCodingAnnotations.txt \ | liftUp snp134CodingDbSnp.bed /hive/data/genomes/hg19/jkStuff/liftContigs.lft warn stdin hgLoadBed hg19 snp134CodingDbSnp -sqlTable=$HOME/kent/src/hg/lib/snp125Coding.sql \ -renameSqlTable -tab -notItemRgb -allowStartEqualEnd \ snp134CodingDbSnp.bed #Loaded 1244179 elements of size 11 ############################################################################ # SNPMASKED SEQUENCE FOR SNP134 (DONE 8/30/11 angie) # It wasn't necessary to redo this following the 9/1 re-run of doDbSnp.pl because # that simply picked up new allele frequency info, no change to exceptions etc. mkdir /hive/data/genomes/hg19/snp134Mask cd /hive/data/genomes/hg19/snp134Mask # Identify rsIds with various problems -- we will exclude those. zcat /hive/data/outside/dbSNP/134/human/snp134.bed.gz \ | awk '$18 ~ /MultipleAlignments|ObservedTooLong|ObservedWrongFormat|ObservedMismatch|MixedObserved/ {print $4;}' \ | sort -u \ > snp134ExcludeRsIds.txt zcat /hive/data/outside/dbSNP/134/human/snp134.bed.gz \ | grep -vFwf snp134ExcludeRsIds.txt \ > snp134Cleaned.bed wc -l snp134Cleaned.bed #37853186 snp134Cleaned.bed # Substitutions: mkdir substitutions snpMaskSingle snp134Cleaned.bed /hive/data/genomes/hg19/hg19.2bit stdout diffObserved.txt \ | faSplit byname stdin substitutions/ #Masked 32668329 snps in 32666100 out of 3131050506 genomic bases #/hive/data/genomes/hg19/hg19.2bit has 3137161264 total bases, but the total number of bases in sequences for which we masked snps is 3131050506 (difference is 6110758) # warnings about differing observed strings at same base position: wc -l diffObserved.txt #2545 diffObserved.txt # Check that 6110758 is the total #bases in sequences with nothing in snp134Cleaned: grep -Fw single snp134Cleaned.bed | cut -f 1 | uniq > /data/tmp/1 grep -vwf /data/tmp/1 ../chrom.sizes \ | awk 'BEGIN {TOTAL = 0;} {TOTAL += $2;} END {printf "%d\n", TOTAL;}' #6110758 # Make sure that sizes are identical, first diffs are normal -> IUPAC, # and first diffs' case is preserved: foreach f (substitutions/chr*.fa) faCmp -softMask $f ../[1-9UMXY]*/$f:t |& grep -v "that differ" end #chr1 in substitutions/chr1.fa differs from chr1 at ../1/chr1.fa at base 10233 (y != c) #chr10 in substitutions/chr10.fa differs from chr10 at ../10/chr10.fa at base 60522 (K != T) #... #(output OK -- ambiguous bases replacing [agct] at SNP positions) foreach f (substitutions/chr*.fa) echo $f:t:r mv $f $f:r.subst.fa gzip $f:r.subst.fa & end # Insertions & deletions not done. To date we have only offered substs for download. # If there is user demand, use template from snp131 above. # Clean up and prepare for download: gzip snp134Cleaned.bed & foreach d (substitutions) pushd $d md5sum *.gz > md5sum.txt cp /hive/data/genomes/hg19/snp132Mask/$d/README.txt . popd end # Edit the README.txt. # Create download links on hgwdev. mkdir /usr/local/apache/htdocs-hgdownload/goldenPath/hg19/snp134Mask ln -s /hive/data/genomes/hg19/snp134Mask/substitutions/* \ /usr/local/apache/htdocs-hgdownload/goldenPath/hg19/snp134Mask/ ############################################################################# # LASTZ X. tropicalis XenTro3 (DONE - 2011-09-20 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzXenTro3.2011-09-20 cd /hive/data/genomes/hg19/bed/lastzXenTro3.2011-09-20 cat << '_EOF_' > DEF # human vs X. tropicalis BLASTZ_H=2000 BLASTZ_Y=3400 BLASTZ_L=6000 BLASTZ_K=2200 BLASTZ_Q=/scratch/data/blastz/HoxD55.q # TARGET: Human hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Frog xenTro3 SEQ2_DIR=/scratch/data/xenTro3/xenTro3.2bit SEQ2_LEN=/scratch/data/xenTro3/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=100 BASE=/hive/data/genomes/hg19/bed/lastzXenTro3.2011-09-20 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # establish a screen to control this job screen time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ > do.log 2>&1 & # real 395m51.626s cat fb.hg19.chainXenTro3Link.txt # 87928753 bases of 2897316137 (3.035%) in intersection cd /hive/data/genomes/hg19/bed ln -s lastzXenTro3.2011-09-20 lastz.xenTro3 # running the swap - DONE - 2011-09-21 mkdir /hive/data/genomes/xenTro3/bed/blastz.hg19.swap cd /hive/data/genomes/xenTro3/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzXenTro3.2011-09-20/DEF \ -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ -swap > swap.log 2>&1 & # real 37m7.001s cat fb.xenTro3.chainHg19Link.txt # 90929066 bases of 1358334882 (6.694%) in intersection ############################################################################ # GENEREVIEWS TRACK (DONE 2014-04-09 - Chin) # geneReviews data located at ftp://ftp.ncbi.nlm.nih.gov/pub/GeneReviews/ # which will be updated weekly mkdir /hive/data/genomes/hg19/bed/geneReviews mkdir -p /hive/data/outside/ncbi/geneReviews/current cd /hive/data/outside/ncbi/geneReviews/current wget --timestamping ftp://ftp.ncbi.nih.gov/pub/GeneReviews/*.* chmod 660 *.txt wc -l *.txt # 606 GRtitle_shortname_NBKid.txt # 2792 NBKid_shortname_OMIM.txt # 1337 NBKid_shortname_genesymbol.txt cp -p NBKid_shortname_genesymbol.txt /hive/data/genomes/hg19/bed/geneReviews/. cp -p NBKid_shortname_OMIM.txt /hive/data/genomes/hg19/bed/geneReviews/. cp -p GRtitle_shortname_NBKid.txt /hive/data/genomes/hg19/bed/geneReviews/. cd /hive/data/genomes/hg19/bed/geneReviews cat NBKid_shortname_genesymbol.txt | grep -v "^#" \ | awk '{FS="\t"} {OFS="\t"} {if ($3!="Not applicable") \ print $3,$2,$1}' | sort -k1 > geneReviewsGrshortNBKid.tab # Create geneReviewsGrshortNBKid table cat << '_EOF_' > $HOME/kent/src/hg/lib/geneReviewsGrshortNBKid.sql CREATE TABLE geneReviewsGrshortNBKid ( geneSymbol varchar(255) not null, # refSeq gene symbol grShort varchar(255) not null, # short name for GeneReviews article NBKid varchar(255) not null, # NCBI book ID of the review article index (geneSymbol) ); '_EOF_' # << happy emacs # load RefSeg Gene to geneReviews article mapping list to hg19 hgLoadSqlTab -warn hg19 geneReviewsGrshortNBKid \ $HOME/kent/src/hg/lib/geneReviewsGrshortNBKid.sql geneReviewsGrshortNBKid.tab # Generate a list of refSeq genes that have geneReview assoicate with it. cat geneReviewsGrshortNBKid.tab | awk -F'\t' '{printf "%s\n", $1}' \ | sort | uniq > grRefGene.lst wc -l *.* # 606 GRtitle_shortname_NBKid.txt # 1337 NBKid_shortname_genesymbol.txt # 1324 geneReviewsGrshortNBKid.tab # 1126 grRefGene.lst # Note: awk bug -- when reading the first input line, awk treat space as # TAB. So need to work around it by print out all line, then use grep to # filter first header line cat GRtitle_shortname_NBKid.txt | awk '{FS="\t"} {OFS="\t"} {print $1,$2,$3}' | grep -v "^#" | sort -k1 > geneReviewsGrshortTitleNBKid.tab # Create and load geneReviewsGrshortTitleNBKid cat << '_EOF_' > $HOME/kent/src/hg/lib/geneReviewsGrshortTitleNBKid.sql CREATE TABLE geneReviewsGrshortTitleNBKid ( grShort varchar(255) not null, # short name for GeneReviews article grTitle varchar(255) not null, # full geneReviews article name NBKid varchar(255) not null, # NCBI book ID of the review article index (grShort) ); '_EOF_' hgLoadSqlTab -warn hg19 geneReviewsGrshortTitleNBKid \ $HOME/kent/src/hg/lib/geneReviewsGrshortTitleNBKid.sql geneReviewsGrshortTitleNBKid.tab cat << '_EOF_' > createGeneReviewsTab.sh ##!/bin/sh # for each refGen in grRefGene.lst, create a non-overlapping bed row. cat grRefGene.lst | while read G do echo ${G} hgsql hg19 -N -e \ "SELECT e.chrom,e.txStart,e.txEnd,j.geneSymbol \ FROM ensGene e, kgXref j WHERE e.alignID = j.kgID AND \ j.geneSymbol ='${G}' ORDER BY e.chrom,e.txStart;" > temp.in bedRemoveOverlap temp.in temp.out cat temp.out >> geneReviews.tab done rm temp.* '_EOF_' # << happy emacs chmod +x createGeneReviewsTab.sh ./createGeneReviewsTab.sh wc -l *.tab # 1165 bed.tab # 1165 geneReviews.tab # 1324 geneReviewsGrshortNBKid.tab # 605 geneReviewsGrshortTitleNBKid.tab # load the collapsed bed4 file to hg19, hgLoadBed hg19 geneReviews geneReviews.tab # Create and load geneReviewsDetail table # the new table will replace the old geneReviewsRefGene with diseaseID in # it. cat << '_EOF_' > $HOME/kent/src/hg/lib/geneReviewsDetail.sql CREATE TABLE geneReviewsDetail ( geneSymbol varchar(255) not null, # refSeq gene symbol grShort varchar(255) not null, # short name for geneReviews article NBKid varchar(255) not null, # NCBI book ID of geneRreviews article grTitle varchar(255) not null, # full geneReviews article name index (geneSymbol) ); '_EOF_' # << happy emacs hgsql hg19 -N -e \ "SELECT s.geneSymbol, s.grShort, t.NBKid, t.grTitle \ FROM geneReviewsGrshortNBKid s, geneReviewsGrshortTitleNBKid t \ WHERE s.grShort = t.grShort ORDER BY s.geneSymbol;" > geneReviewsDetail.tab hgLoadSqlTab -warn hg19 geneReviewsDetail \ $HOME/kent/src/hg/lib/geneReviewsDetail.sql geneReviewsDetail.tab # Check in the following to git: # $HOME/kent/src/hg/lib/geneReviewsGrshortNBKid.sql # $HOME/kent/src/hg/lib/geneReviewsGrshortTitleNBKid.sql # $HOME/kent/src/hg/lib/geneReviewsDetail.sql # Update the human/trackDb.ra and human/geneReviews.html ############################################################################## # hgPal downloads redone for new ensGene (re-DONE 2012-01-06 braney) # FASTA from 46way for ensGene, ensCanonical ssh hgwdev screen bash # rm -rf /cluster/data/hg19/bed/multiz46way/pal # mkdir /cluster/data/hg19/bed/multiz46way/pal cd /cluster/data/hg19/bed/multiz46way/pal for i in `cat ../species.list`; do echo $i; done > order.lst mz=multiz46way gp=ensGene db=hg19 mkdir exonAA exonNuc ppredAA ppredNuc for j in `sort -nk 2 /cluster/data/$db/chrom.sizes | awk '{print $1}'` do echo "date" echo "mafGene -chrom=$j $db $mz $gp order.lst stdout | \ gzip -c > ppredAA/$j.ppredAA.fa.gz" echo "mafGene -chrom=$j -noTrans $db $mz $gp order.lst stdout | \ gzip -c > ppredNuc/$j.ppredNuc.fa.gz" echo "mafGene -chrom=$j -exons -noTrans $db $mz $gp order.lst stdout | \ gzip -c > exonNuc/$j.exonNuc.fa.gz" echo "mafGene -chrom=$j -exons $db $mz $gp order.lst stdout | \ gzip -c > exonAA/$j.exonAA.fa.gz" done > $gp.$mz.jobs time sh -x $gp.$mz.jobs > $gp.$mz.job.log 2>&1 & sleep 1 tail -f $gp.$mz.job.log # real 205m16.105s # user 36m32.438s # sys 6m12.046s mz=multiz46way gp=ensGene db=hg19 zcat exonAA/c*.gz | gzip -c > $gp.$mz.exonAA.fa.gz zcat exonNuc/c*.gz | gzip -c > $gp.$mz.exonNuc.fa.gz zcat ppredAA/c*.gz | gzip -c > $gp.$mz.ppredAA.fa.gz zcat ppredNuc/c*.gz | gzip -c > $gp.$mz.ppredNuc.fa.gz rm -rf exonAA exonNuc ppredAA ppredNuc mz=multiz46way gp=ensGene db=hg19 pd=/usr/local/apache/htdocs-hgdownload/goldenPath/$db/$mz/alignments mkdir -p $pd ln -s `pwd`/$gp.$mz.exonAA.fa.gz $pd/$gp.exonAA.fa.gz ln -s `pwd`/$gp.$mz.exonNuc.fa.gz $pd/$gp.exonNuc.fa.gz # now do the canonical set cd /cluster/data/hg19/bed/multiz46way/pal mz=multiz46way gp=ensCanonical db=hg19 for j in `awk '{print $1}' /cluster/data/hg19/chrom.sizes` do echo "select chrom, chromStart, chromEnd, transcript from ensCanonical where chrom='$j'" | hgsql $db | tail -n +2 > $j.ens.bed done mkdir exonAA exonNuc ppredAA ppredNuc for j in `sort -nk 2 /cluster/data/$db/chrom.sizes | awk '{print $1}'` do echo "date" echo "mafGene -geneBeds=$j.ens.bed $db $mz ensGene order.lst stdout | \ gzip -c > ppredAA/$j.ppredAA.fa.gz" echo "mafGene -geneBeds=$j.ens.bed -noTrans $db $mz ensGene order.lst stdout | \ gzip -c > ppredNuc/$j.ppredNuc.fa.gz" echo "mafGene -geneBeds=$j.ens.bed -exons -noTrans $db $mz ensGene order.lst stdout | \ gzip -c > exonNuc/$j.exonNuc.fa.gz" echo "mafGene -geneBeds=$j.ens.bed -exons $db $mz ensGene order.lst stdout | \ gzip -c > exonAA/$j.exonAA.fa.gz" done > $gp.$mz.jobs time sh -x $gp.$mz.jobs > $gp.$mz.job.log 2>&1 & sleep 1 tail -f $gp.$mz.job.log # real 166m1.220s # user 13m35.246s # sys 2m50.683s rm *.ens.bed mz=multiz46way gp=ensCanonical db=hg19 zcat exonAA/c*.gz | gzip -c > $gp.$mz.exonAA.fa.gz zcat exonNuc/c*.gz | gzip -c > $gp.$mz.exonNuc.fa.gz zcat ppredAA/c*.gz | gzip -c > $gp.$mz.ppredAA.fa.gz zcat ppredNuc/c*.gz | gzip -c > $gp.$mz.ppredNuc.fa.gz rm -rf exonAA exonNuc ppredAA ppredNuc mz=multiz46way gp=ensCanonical db=hg19 pd=/usr/local/apache/htdocs-hgdownload/goldenPath/$db/$mz/alignments mkdir -p $pd ln -s `pwd`/$gp.$mz.exonAA.fa.gz $pd/$gp.exonAA.fa.gz ln -s `pwd`/$gp.$mz.exonNuc.fa.gz $pd/$gp.exonNuc.fa.gz ############################################################################ # UPDATE COSMIC TRACK (DONE 2011-10-11 Fan) mkdir /hive/data/outside/cosmic/20111011 # put raw data file, UCSCMutExp_v55_090911.csv, received by email to there. mkdir /hive/data/genomes/hg19/bed/cosmic/20111011 cd /hive/data/genomes/hg19/bed/cosmic/20111011 cp -p /hive/data/outside/cosmic/20111011/UCSCMutExp_v55_090911.csv . cat UCSCMutExp_v55_090911.csv|sed -e 's/\t//g' |sed -e 's/,/\t/g' |\ grep -v COSMIC_MUTATION_ID |grep -v 'selected'|grep COSM >UCSCMutExp_v55_090911.tab hgsql hg19 -e 'drop table cosmicRaw' hgsql hg19 < ~/kent/src/hg/lib/cosmicRaw.sql hgLoadSqlTab hg19 cosmicRaw ~/kent/src/hg/lib/cosmicRaw.sql UCSCMutExp_v55_090911.tab # use grch37_start-1 for our zero based chromStart and # conver their chr23 and chr24 to chrX and chrY. hgsql hg19 -N -e 'select "chr", chromosome, grch37_start-1, grch37_stop, cosmic_mutation_id from cosmicRaw' \ |grep -v NULL |sed -e 's/chr\t/chr/'|sort -u|sed -e 's/chr23/chrX/' |sed -e 's/chr24/chrY/' >cosmic.bed hgLoadBed -allowStartEqualEnd hg19 cosmic cosmic.bed ############################################################################# # LASTZ Gorilla GorGor3 (DONE - 2011-10-17 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzGorGor3.2011-10-17 cd /hive/data/genomes/hg19/bed/lastzGorGor3.2011-10-17 cat << '_EOF_' > DEF # human vs gorilla # maximum M allowed with lastz is only 254 BLASTZ_M=254 BLASTZ_Q=/scratch/data/blastz/human_chimp.v2.q BLASTZ_O=600 BLASTZ_E=150 # other parameters on advice from Webb BLASTZ_K=4500 BLASTZ_Y=15000 BLASTZ_T=2 # TARGET: Human hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Frog gorGor3 SEQ2_DIR=/scratch/data/gorGor3/gorGor3.2bit SEQ2_LEN=/scratch/data/gorGor3/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=100 BASE=/hive/data/genomes/hg19/bed/lastzGorGor3.2011-10-17 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # establish a screen to control this job screen time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -syntenicNet \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ > do.log 2>&1 & # real 159m46.598s cat fb.hg19.chainGorGor3Link.txt # 2603997992 bases of 2897316137 (89.876%) in intersection cd /hive/data/genomes/hg19/bed ln -s lastzGorGor3.2011-10-17 lastz.gorGor3 # better to have reciprocal best for this one since it is low coverage: cd /hive/data/genomes/hg19/bed/lastzGorGor3.2011-10-17 time doRecipBest.pl hg19 gorGor3 -buildDir=`pwd` -workhorse=hgwdev \ > best.log 2>&1 & # real 166m43.489s # running the swap - DONE - 2011-09-21 mkdir /hive/data/genomes/gorGor3/bed/blastz.hg19.swap cd /hive/data/genomes/gorGor3/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzGorGor3.2011-10-17/DEF \ -swap -syntenicNet \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ > swap.log 2>&1 & # real 69m39.685s cat fb.gorGor3.chainHg19Link.txt # 2571797450 bases of 2822760080 (91.109%) in intersection ############################################################################ # ISCA FROM DBVAR (DONE 5/21/12 angie) # Updated 3/02/12 angie # Redmine: Track #34 (dbVar for human) set today = `date +%Y_%m_%d` mkdir /hive/data/genomes/hg19/bed/isca/$today cd /hive/data/genomes/hg19/bed/isca/$today # Get variants submitted on this assembly, and variants remapped from other assemblies. wget ftp://ftp.ncbi.nlm.nih.gov/pub/dbVar/data/Homo_sapiens/by_study/nstd37_ISCA/gvf/nstd37_ISCA.GRCh37.submitted.all.germline.ucsc.gvf.gz wget ftp://ftp.ncbi.nlm.nih.gov/pub/dbVar/data/Homo_sapiens/by_study/nstd37_ISCA/gvf/nstd37_ISCA.GRCh37.remap.all.germline.ucsc.gvf.gz # New 5/21/12: ISCA Curated wget ftp://ftp.ncbi.nlm.nih.gov/pub/dbVar/data/Homo_sapiens/by_study/nstd45_ISCA_curated_dataset/gvf/nstd45_ISCA_curated_dataset.GRCh37.remap.all.germline.ucsc.gvf.gz zcat nstd37_ISCA*.gvf.gz \ | ~/kent/src/hg/utils/automation/gvfToBed8Attrs.pl \ > isca.bed zcat nstd45_ISCA*.gvf.gz \ | ~/kent/src/hg/utils/automation/gvfToBed8Attrs.pl \ > iscaCurated.bed wc -l isca*.bed # 12943 isca.bed # 84 iscaCurated.bed # Split into subtracks by clinical_int value. zcat nstd37_ISCA*.gvf.gz \ | grep ssv | sed -e 's/.*clinical_int=//; s/;.*//;' | sort | uniq -c # 4307 Benign # 4600 Pathogenic # 3406 Uncertain significance # 466 Uncertain significance: likely benign # 164 Uncertain significance: likely pathogenic zcat nstd45_ISCA*.gvf.gz \ | grep ssv | sed -e 's/.*clinical_int=//; s/;.*//;' | sort | uniq -c # 29 Benign # 55 Pathogenic foreach subtrack (Benign Pathogenic) grep -w $subtrack isca.bed > isca$subtrack.bed hgLoadBed -tab -renameSqlTable -sqlTable=$HOME/kent/src/hg/lib/bed8Attrs.sql \ -allowStartEqualEnd hg19 isca$subtrack isca$subtrack.bed grep -w $subtrack iscaCurated.bed > iscaCurated$subtrack.bed hgLoadBed -tab -renameSqlTable -sqlTable=$HOME/kent/src/hg/lib/bed8Attrs.sql \ -allowStartEqualEnd hg19 iscaCurated$subtrack iscaCurated$subtrack.bed end #Read 4307 elements of size 11 from iscaBenign.bed #Read 29 elements of size 11 from iscaCuratedBenign.bed #Read 4600 elements of size 11 from iscaPathogenic.bed #Read 55 elements of size 11 from iscaCuratedPathogenic.bed # The subcategories of Uncertain need a bit more sophisticated treatment: set subtrack = Uncertain grep -w $subtrack isca.bed \ | grep -vi 'Uncertain Significance: likely' \ > isca$subtrack.bed hgLoadBed -tab -renameSqlTable -sqlTable=$HOME/kent/src/hg/lib/bed8Attrs.sql \ -allowStartEqualEnd hg19 isca$subtrack isca$subtrack.bed #Read 3406 elements of size 11 from iscaUncertain.bed foreach unc (benign pathogenic) set subtrack = Likely`perl -we 'print ucfirst("'$unc'");'` grep -wi "Uncertain Significance: likely $unc" isca.bed \ > isca$subtrack.bed hgLoadBed -tab -renameSqlTable -sqlTable=$HOME/kent/src/hg/lib/bed8Attrs.sql \ -allowStartEqualEnd hg19 isca$subtrack isca$subtrack.bed end #Read 466 elements of size 11 from iscaLikelyBenign.bed #Read 164 elements of size 11 from iscaLikelyPathogenic.bed ## more for this track below v ## ############################################################################ # ISCA AGGREGATE PATHOGENIC TRACKS (DONE 2012-05-21 angie) # First done 2012-02-08 by b0b; updated 2012-03-03 by b0b. # files of ISCA Pathogenic Gain and Loss were fetched in the previous section -- # use same dir. set today = `date +%Y_%m_%d` cd /hive/data/genomes/hg19/bed/isca/$today # make bedGraphs hgsql -N -e "SELECT chrom, chromStart, chromEnd FROM iscaPathogenic \ WHERE attrVals LIKE '%number_gain%'" hg19 | sort \ | bedItemOverlapCount hg19 stdin > iscaPathGain.bedGraph hgsql -N -e "SELECT chrom, chromStart, chromEnd FROM iscaPathogenic \ WHERE attrVals LIKE '%number_loss%'" hg19 | sort \ | bedItemOverlapCount hg19 stdin > iscaPathLoss.bedGraph # load tables hgLoadBed -bedGraph=4 hg19 iscaPathGainCum iscaPathGain.bedGraph #Read 2001 elements of size 4 from iscaPathGain.bedGraph hgLoadBed -bedGraph=4 hg19 iscaPathLossCum iscaPathLoss.bedGraph #Read 3567 elements of size 4 from iscaPathLoss.bedGraph # End of track build instructions; historical notes follow. # trackDb (these values from original load, not update) # get 2 stdDev value to set default maxHeightPixels # use average of: median + 2 SD - would mean be better? # use same viewLimit for both: average the two # note that chr21 (Down's) is overrepresented in the dataset ave hg19.iscaPathGain.bedGraph -col=4 # median 9.000000 # average 20.970921 # max 105.000000 # standard deviation 25.652712 median + 2SD = 60 ave hg19.iscaPathLoss.bedGraph -col=4 # median 6.000000 # average 15.998146 # max 171.000000 # standard deviation 23.526095 median + 2SD = 53 # move some settings down to existing subtracks: type gvf noScoreFilter . # add settings to parent track: type bed noInherit on # set these two new tracks: release alpha type bedGraph 4 maxHeightPixels 100:57:16 viewLimits 0:60 (halfway betw 2 SD and max) alwaysZero on color 0,0,200 (Gain) color 200,0,0 (Loss) # new html page using override in trackDb/human/hg19/trackDb.ra ############################################################################## # ISCA AGGREGATE BENIGN TRACKS (DONE 2015-11-18 jcasper) cd /hive/data/outside/otto/isca/2015-09-16/ for db in hg19 hg38; do # make bedGraphs hgsql -N -e "SELECT chrom, chromStart, chromEnd FROM iscaBenign \ WHERE attrVals LIKE '%number_gain%'" $db | sort \ | bedItemOverlapCount $db stdin > $db/iscaBenignGain.bedGraph hgsql -N -e "SELECT chrom, chromStart, chromEnd FROM iscaBenign \ WHERE attrVals LIKE '%number_loss%'" $db | sort \ | bedItemOverlapCount $db stdin > $db/iscaBenignLoss.bedGraph # load tables hgLoadBed -bedGraph=4 $db iscaBenignGainCum $db/iscaBenignGain.bedGraph hgLoadBed -bedGraph=4 $db iscaBenignLossCum $db/iscaBenignLoss.bedGraph done # hg19 # Read 1889 elements of size 4 from iscaBenignGain.bedGraph # Read 1252 elements of size 4 from iscaBenignLoss.bedGraph # hg38 # Read 1861 elements of size 4 from iscaBenignGain.bedGraph # Read 1265 elements of size 4 from iscaBenignLoss.bedGraph # Plus changes made to the scripts in kent/src/hg/utils/otto/isca/ # to ensure that these tables are re-built and tested with the rest ############################################################################ # LINCRNAS FROM BROAD (DONE 2011-10-10 Chin) # Human lincRNA Catalog # unzip data from Board to /hive/data/outside/lincRnaFromCabili mkdir /hive/data/genomes/hg19/bed/lincRnaFromCabili cd /hive/data/genomes/hg19/bed/lincRnaFromCabili cp /hive/data/outside/lincRnaFromCabili/Cabili_etal_BodyMaplincRNAs.key.txt . cp /hive/data/outside/lincRnaFromCabili/Cabili_etal_description.doc . cp /hive/data/outside/lincRnaFromCabili/Cabili_etal_BodyMapLincRNAs.bed . cp /hive/data/outside/lincRnaFromCabili/lincRNAs_transcripts.gtf . # Load data for lincRNAsTranscripts track cd /hive/data/genomes/hg19/bed/lincRnaFromCabili ldHgGene -gtf hg19 lincRNAsTranscripts lincRNAs_transcripts.gtf # Read 21630 transcripts in 67096 lines in 1 files # 21630 groups 43 seqs 7 sources 1 feature types # 21630 gene predictions cat << '_EOF_' > createExpDataByCellType.pl #!/usr/bin/perl # Create expData table form a microarray bed15 file # for further analysis # usage: ./createExpDataByCellType.pl <bed15File> use strict; use warnings; my $line; my @bF; my $i; my $outFname; my $name; my $expCount; my $expIds; my $expScores; my @expId; my @expScore; my $score; my $tScore; my $fScore; my $log2 = log(2); my $sLog2; my $tLog2; # Define the 22 cell type array my @cellType = ("Adipose","Adrenal","Brain","Breast","Colon","Heart","Kidney", "Liver","Lung","LymphNode","Ovary","Prostate","SkeletalMuscle", "WhiteBloodCell","Testes","Thyroid","Testes_R","Brain_R", "Placenta_R","Foreskin_R","hLF_r2","hLF_r1"); #Read in the microarray (bed15) files # Assume number of exp and score agreed my $argc=scalar(@ARGV); if ($argc < 1) { print "usage: ./createExpDataByCellType.pl <bed15File>"; } my $fName = $ARGV[0]; my $outFName; # Loop thru each cell type for($i = 0; $i < scalar(@cellType); $i++) { open(FHIN, $fName) or die "Can not open $fName"; $outFName= "lincRNAsCT" . $cellType[$i] . "\.tab"; open(FHOUT, ">$outFName") or die "Can not open $outFName"; while ($line = <FHIN>) { chomp($line); @bF = split('\t', $line); printf(FHOUT "%s\t%s\t%s\t%s\t", $bF[0],$bF[1],$bF[2],$bF[3]); $bF[14] =~ s/,$//; $expScores = $bF[14]; @expScore = split(",",$expScores); # Process the expRatio $tLog2 = log($expScore[$i] + 0.5)/$log2; $sLog2 = sprintf("%.3f",$tLog2); # scale sLog2 using 0 (-1) .. 1000 (4) if ($sLog2 <= 4.0) { $tScore = ($sLog2 + 1) * (1000/5); $fScore = sprintf("%3d",$tScore); } else { $tScore = 1000; } if ($tScore >= 1000) { $fScore = 1000; } else { $fScore = sprintf("%3d",$tScore); } printf(FHOUT "%s\t%s\t%s\n",$fScore, $expScore[$i],$sLog2); } # end while close FHIN; close FHOUT; } # for loop '_EOF_' # << happy emacs chmod +x createExpDataByCellType.pl ./createExpDataByCellType.pl Cabili_etal_BodyMapLincRNAs.bed cat << '_EOF_' > deleteCTTables.sh #!/bin/sh # cellType=(Adipose Adrenal Brain Breast Colon Heart Kidney Liver Lung LymphNode Ovary Prostate SkeletalMuscle WhiteBloodCell Testes Thyroid Testes_R Brain_R Placenta_R Foreskin_R hLF_r2 hLF_r1) for c in "${cellType[@]}" do echo Processing lincRNAs$c hgsql hg19 -e "DROP TABLE IF EXISTS lincRNAsCT$c;" done '_EOF_' # << happy emacs chmod +x deleteCTTables.sh ./deleteCTTables.sh cat << '_EOF_' > lincRNAsCTTemp.sql CREATE TABLE lincRNAsCTTemp ( chrom varchar(255) not null, # Human chromosome or FPC contig chromStart int unsigned not null, # Start position in chromosome chromEnd int unsigned not null, # End position in chromosome name varchar(255) not null, # Name of item score int unsigned not null, # Score from 0-1000 rawScore float not null, # Raw Signal Score log2RawScore float not null # log2 of raw score ); '_EOF_' # << happy emacs cat << '_EOF_' > loadLincRNAsAllCellType.sh #!/bin/sh # cellType=(Adipose Adrenal Brain Breast Colon Heart Kidney Liver Lung LymphNode Ovary Prostate SkeletalMuscle WhiteBloodCell Testes Thyroid Testes_R Brain_R Placenta_R Foreskin_R hLF_r2 hLF_r1) for c in "${cellType[@]}" do echo Processing lincRNAsCT$c.tab hgLoadBed -tab -sqlTable=lincRNAsCTTemp.sql hg19 lincRNAsCTTemp lincRNAsCT$c.tab hgsql hg19 -e "RENAME TABLE lincRNAsCTTemp to lincRNAsCT$c" done '_EOF_' # << happy emacs chmod +x loadLincRNAsAllCellType.sh ./loadLincRNAsAllCellType.sh ############################################################################# # LASTZ Gibbon NomLeu1 (DONE - 2011-11-04 - Chin) mkdir /hive/data/genomes/hg19/bed/lastzNomLeu1.2011-11-04 cd /hive/data/genomes/hg19/bed/lastzNomLeu1.2011-11-04 cat << '_EOF_' > DEF # human vs gibbon # maximum M allowed with lastz is only 254 BLASTZ_M=254 BLASTZ_Q=/scratch/data/blastz/human_chimp.v2.q BLASTZ_O=600 BLASTZ_E=150 # other parameters on advice from Webb BLASTZ_K=4500 BLASTZ_Y=15000 BLASTZ_T=2 # TARGET: Human hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Gibbon nomLeu1 SEQ2_DIR=/scratch/data/nomLeu1/nomLeu1.2bit SEQ2_LEN=/scratch/data/nomLeu1/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=100 BASE=/hive/data/genomes/hg19/bed/lastzNomLeu1.2011-11-04 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # establish a screen to control this job screen time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -syntenicNet \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ > do.log 2>&1 & # real 724m15s cat fb.hg19.chainNomLeu1Link.txt # 2543943556 bases of 2897316137 (87.803%) in intersection cd /hive/data/genomes/hg19/bed ln -s lastzNomLeu1.2011-11-04 lastz.nomLeu1 # running the swap - DONE - 2011-11-08 mkdir /hive/data/genomes/nomLeu1/bed/blastz.hg19.swap cd /hive/data/genomes/nomLeu1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzNomLeu1.2011-11-04/DEF \ -swap -syntenicNet \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ > swap.log 2>&1 & # real 69m27s cat fb.nomLeu1.chainHg19Link.txt # 2480558770 bases of 2756591777 (89.986%) in intersection ############################################################################# # DBSNP B135 / SNP135 (DONE 8/19/13) # originally done 11/9/11; updated 8/19/13 to fix allele frequencies (#11544) # Redmine #5170 mkdir -p /hive/data/outside/dbSNP/135/human cd /hive/data/outside/dbSNP/135/human # Look at the directory listing of ftp://ftp.ncbi.nih.gov/snp/database/organism_data/ # to find the subdir name to use as orgDir below (human_9606 in this case). # Then click into that directory and look for file names like # b(1[0-9][0-9])_*_([0-9]+_[0-9]) # -- use the first num for build and the second num_num for buildAssembly. # jkStuff/liftContigs.lft maps NCBI contig names to chroms; use that for liftUp. # # Some trial and error was required to get the config.ra just right -- assembly # label now has ".p5" at end despite buildAssembly being 37_3, and more GRCh37 # patch contigs needed to be filtered out: cat > config.ra <<EOF db hg19 orgDir human_9606 build 135 buildAssembly 37_3 liftUp /hive/data/genomes/hg19/jkStuff/liftContigs.lft refAssemblyLabel GRCh37.p5 ignoreDbSnpContigs NW_003(3159[0-9][0-9]|5710[3-6][0-9]) EOF ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra >& do.log & tail -f do.log # Sent dbSNP some emails about conditions causing lots of SNPs in snp135Errors.bed.gz # due to inconsistent locType vs. coords. 2.3M SNPs have new exception SingleAlleleFreq, # and 474k SNPs have new exception InconsistentAlleles (allele freqs vs observed). # 8/19/13: rebuilding after fix #11544 -- many allele frequencies were combined # incorrectly due to stranded data (but not strand flag) in SNPAlleleFreq and # positive-strand-only data in SNPAlleleFreq_TGP. cd /hive/data/outside/dbSNP/135/human mkdir preAlleleFreqFix mv ucscAlleleFreq.txt.gz snp135*.bed.gz preAlleleFreqFix/ # Run with -debug to regenerate addToDbSnp script: ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra \ -continue addToDbSnp -stop addToDbSnp -debug # Now re-run the updated snpAddTGPAlleleFreq.pl command: grep snpAdd addToDbSnp.csh ~/kent/src/hg/utils/automation/snpAddTGPAlleleFreq.pl hg19snp135 \ -contigLoc=b135_SNPContigLoc_37_3 > ucscAlleleFreq.txt # Reload the ucscAlleleFreq table: hgLoadSqlTab hg19snp135 ucscAlleleFreq{,.sql,.txt} >>& do.log & tail -f do.log # Redo the big join: mkdir -p `cat workingDir` ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra -continue bigJoin -stop bigJoin \ >>& do.log & tail -f do.log # Manually re-run snpNcbiToUcsc (the translate step includes fasta file concat # and indexing, which would waste a lot of time): set tmpDir = `cat /hive/data/outside/dbSNP/135/human/workingDir` cd $tmpDir echo 'select * from par' | hgsql hg19 -NB > par.bed snpNcbiToUcsc -snp132Ext -par=par.bed ucscNcbiSnp.bed /hive/data/genomes/hg19/hg19.2bit snp135 \ >>& /hive/data/outside/dbSNP/135/human/do.log & tail -f /hive/data/outside/dbSNP/135/human/do.log head snp135Errors.bed >>& /hive/data/outside/dbSNP/135/human/do.log & tail -f /hive/data/outside/dbSNP/135/human/do.log wc -l snp135* >>& /hive/data/outside/dbSNP/135/human/do.log & tail -f /hive/data/outside/dbSNP/135/human/do.log gzip *.txt *.bed *.tab cp -p * /hive/data/outside/dbSNP/135/human/ cd /hive/data/outside/dbSNP/135/human rm $tmpDir/* ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra -continue load \ >>& do.log & tail -f do.log ############################################################################# # FILTER SNP135 (DONE 8/19/13 angie) # originally done 11/14/11; rebuilt 8/19/13 to fix allele frequencies (#11544) # Redmine #5170 # Make several tracks that are filtered subsets of snp135: # First, filter out the multiply-aligned and/or weight >1 SNPs -> snp135Mult # Second, siphon off the common variants -> snp135Common # Third, take the (uniquely mapped, not ens to be common) variants # w/dbSNP's "clinically-assoc" flag -> snp135Flagged cd /hive/data/outside/dbSNP/135/human zcat snp135.bed.gz \ | perl -we \ '$minTotal2N = 10; \ ($multCount, $comCount, $flagCount, $miscCount) = (0,0,0,0); \ open($mult, "| gzip -c > snp135Mult.bed.gz") || die; \ open($common, "| gzip -c > snp135Common.bed.gz") || die; \ open($flagged, "| gzip -c > snp135Flagged.bed.gz") || die; \ open($misc, "| gzip -c > snp135Misc.bed.gz") || die; \ while (<>) { \ @w = split("\t"); \ if ($w[16] > 1 || $w[17] =~ /MultipleAlignments/) { \ print $mult $_; \ $multCount++; \ } else { \ my ($alleleFreqCount, $nStr, $freqStr) = ($w[20], $w[22], $w[23]); \ my @alNs = split(",", $nStr); die unless scalar(@alNs) == $alleleFreqCount; \ my @freqs = split(",", $freqStr); die unless scalar(@freqs) == $alleleFreqCount; \ my ($total2N, $maxAlleleFreq) = (0, 0); \ for (my $i = 0; $i < $alleleFreqCount; $i++) { \ $total2N += $alNs[$i]; \ $maxAlleleFreq = $freqs[$i] if ($freqs[$i] > $maxAlleleFreq); \ } \ if ($alleleFreqCount >= 2 && $total2N >= $minTotal2N && $maxAlleleFreq <= 0.99) { \ print $common $_; \ $comCount++; \ } elsif($w[24] =~ /clinically-assoc/) { \ print $flagged $_; \ $flagCount++; \ } else { \ print $misc $_; \ $miscCount++; \ } \ } \ } \ close($mult); close($common); close($flagged); close($misc); \ print "snp135Mult: $multCount\nsnp135Common: $comCount\nsnp135Flagged: $flagCount\n" . \ "leftover: $miscCount\n";' #snp135Mult: 3538479 #snp135Common: 11504891 #snp135Flagged: 32187 #leftover: 39722367 # Compare to counts from 11/14/11, before fixing allele freqs: #snp135Mult: 3538479 #snp135Common: 11525489 #snp135Flagged: 32077 #leftover: 39116035 # So 110 SNPs were initially left out of snp135Flagged # Load tables foreach subset (Mult Common Flagged) hgLoadBed -tab -onServer -tmpDir=/data/tmp -allowStartEqualEnd -renameSqlTable \ hg19 snp135$subset -sqlTable=snp135.sql snp135$subset.bed.gz end ############################################################################# # SNP135 ORTHOLOGOUS ALLELES IN CHIMP, ORANG, MACAQUE (DONE 11/14/11 angie) mkdir /hive/data/genomes/hg19/bed/snp135Ortho cd /hive/data/genomes/hg19/bed/snp135Ortho # Filter snp135 to to keep only uniquely mapped biallelic SNVs (class=single, length=1); zcat /hive/data/outside/dbSNP/135/human/snp135.bed.gz \ | awk '$18 ~ /^MultipleAlignments|SingleClassTriAllelic|SingleClassQuadAllelic/ {print $4;}' \ | sort -u \ > snp135ExcludeIds.txt wc -l snp135ExcludeIds.txt #1297409 snp135ExcludeIds.txt zcat /hive/data/outside/dbSNP/135/human/snp135.bed.gz \ | awk '$3-$2 == 1 && $11 == "single" {print;}' \ | grep -vFwf snp135ExcludeIds.txt \ #NOTE FOR NEXT TIME: pipe output straight to awk command below... don't need this 7G intermediate: > snp135Simple.bed wc -l snp135Simple.bed #44228667 snp135Simple.bed # Glom all human info that we need for the final table onto the # name, to sneak it through liftOver: rsId|chr|start|end|obs|ref|strand awk 'BEGIN{OFS="\t";} \ {print $1, $2, $3, \ $4 "|" $1 "|" $2 "|" $3 "|" $9 "|" $8 "|" $6, \ 0, $6;}' \ snp135Simple.bed > snp135ForLiftOver.bed # Map coords to chimp using liftOver. mkdir run.liftOChimp cd run.liftOChimp mkdir split out splitFile ../snp135ForLiftOver.bed 10000 split/chunk cp /dev/null jobList foreach f (split/chunk*) echo liftOver $f \ /hive/data/genomes/hg19/bed/liftOver/hg19ToPanTro3.over.chain.gz \ \{check out exists out/panTro3.$f:t.bed\} out/hg19.$f:t.unmapped \ >> jobList end ssh swarm cd /hive/data/genomes/hg19/bed/snp135Ortho/run.liftOChimp para make jobList #Completed: 4423 of 4423 jobs #CPU time in finished jobs: 430555s 7175.92m 119.60h 4.98d 0.014 y #IO & Wait Time: 45877s 764.61m 12.74h 0.53d 0.001 y #Average job time: 108s 1.80m 0.03h 0.00d #Longest finished job: 262s 4.37m 0.07h 0.00d #Submission to last job: 542s 9.03m 0.15h 0.01d # Map coords to orangutan using liftOver. mkdir ../run.liftOPon cd ../run.liftOPon mkdir out ln -s ../run.liftOChimp/split . cp /dev/null jobList foreach f (split/chunk*) echo liftOver $f \ /hive/data/genomes/hg19/bed/liftOver/hg19ToPonAbe2.over.chain.gz \ \{check out exists out/ponAbe2.$f:t.bed\} out/hg19.$f:t.unmapped \ >> jobList end para make jobList #Completed: 4423 of 4423 jobs #CPU time in finished jobs: 591884s 9864.74m 164.41h 6.85d 0.019 y #IO & Wait Time: 55485s 924.74m 15.41h 0.64d 0.002 y #Average job time: 146s 2.44m 0.04h 0.00d #Longest finished job: 380s 6.33m 0.11h 0.00d #Submission to last job: 1403s 23.38m 0.39h 0.02d # Map coords to macaque using liftOver. mkdir ../run.liftOMac cd ../run.liftOMac mkdir out ln -s ../run.liftOChimp/split . cp /dev/null jobList foreach f (split/chunk*) echo liftOver $f \ /hive/data/genomes/hg19/bed/liftOver/hg19ToRheMac2.over.chain.gz \ \{check out exists out/rheMac2.$f:t.bed\} out/hg19.$f:t.unmapped \ >> jobList end para make jobList #Completed: 4423 of 4423 jobs #CPU time in finished jobs: 1097552s 18292.53m 304.88h 12.70d 0.035 y #IO & Wait Time: 91301s 1521.69m 25.36h 1.06d 0.003 y #Average job time: 269s 4.48m 0.07h 0.00d #Longest finished job: 697s 11.62m 0.19h 0.01d #Submission to last job: 1555s 25.92m 0.43h 0.02d cd /hive/data/genomes/hg19/bed/snp135Ortho # Concatenate the chimp results, sorting by chimp pos in order to # efficiently access 2bit sequence in getOrthoSeq. The output of # that is then sorted by the glommed human info field, so that we # can use join to combine chimp and macaque results in the next step. # Ditto for macaque and orangutan. Each command pipe takes ~6 minutes: sort -k1,1 -k2n,2n run.liftOChimp/out/panTro3.chunk*.bed \ | ~/kent/src/hg/snp/snpLoad/getOrthoSeq.pl /cluster/data/panTro3/panTro3.2bit \ | sort > panTro3.orthoGlom.txt sort -k1,1 -k2n,2n run.liftOPon/out/ponAbe2.chunk*.bed \ | ~/kent/src/hg/snp/snpLoad/getOrthoSeq.pl /cluster/data/ponAbe2/ponAbe2.2bit \ | sort > ponAbe2.orthoGlom.txt sort -k1,1 -k2n,2n run.liftOMac/out/rheMac2.chunk*.bed \ | ~/kent/src/hg/snp/snpLoad/getOrthoSeq.pl /cluster/data/rheMac2/rheMac2.2bit \ | sort > rheMac2.orthoGlom.txt wc -l panTro3.orthoGlom.txt ponAbe2.orthoGlom.txt rheMac2.orthoGlom.txt #41804363 panTro3.orthoGlom.txt #39856046 ponAbe2.orthoGlom.txt #35918623 rheMac2.orthoGlom.txt # Use the glommed name field as a key to join up chimp and macaque # allele data. Include glommed name from both files because if only # file 2 has a line for the key in 2.1, then 1.1 is empty. Then plop # in the orthoGlom fields from each file, which are in the same order # as the chimp and macaque columns of snp135OrthoPanTro2RheMac2. join -o '1.1 2.1 1.2 1.3 1.4 1.5 1.6 2.2 2.3 2.4 2.5 2.6' \ -a 1 -a 2 -e '?' \ panTro3.orthoGlom.txt ponAbe2.orthoGlom.txt \ | awk '{if ($1 != "?") { print $1, $3,$4,$5,$6,$7,$8,$9,$10,$11,$12; } \ else { print $2, $3,$4,$5,$6,$7,$8,$9,$10,$11,$12; }}' \ > tmp.txt join -o '1.1 2.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 1.10 1.11 2.2 2.3 2.4 2.5 2.6' \ -a 1 -a 2 -e '?' \ tmp.txt rheMac2.orthoGlom.txt \ | perl -wpe 'chomp; \ ($glom12, $glom3, $o1Chr, $o1Start, $o1End, $o1Al, $o1Strand, \ $o2Chr, $o2Start, $o2End, $o2Al, $o2Strand, \ $o3Chr, $o3Start, $o3End, $o3Al, $o3Strand) = split; \ $glomKey = ($glom12 ne "?") ? $glom12 : $glom3; \ ($rsId, $hChr, $hStart, $hEnd, $hObs, $hAl, $hStrand) = \ split(/\|/, $glomKey); \ $o1Start =~ s/^\?$/0/; $o2Start =~ s/^\?$/0/; $o3Start =~ s/^\?$/0/; \ $o1End =~ s/^\?$/0/; $o2End =~ s/^\?$/0/; $o3End =~ s/^\?$/0/; \ print join("\t", $hChr, $hStart, $hEnd, $rsId, $hObs, $hAl, $hStrand, \ $o1Chr, $o1Start, $o1End, $o1Al, $o1Strand, \ $o2Chr, $o2Start, $o2End, $o2Al, $o2Strand, \ $o3Chr, $o3Start, $o3End, $o3Al, $o3Strand) . "\n"; \ s/^.*$//;' \ | sort -k1,1 -k2n,2n > snp135OrthoPt3Pa2Rm2.bed hgLoadBed -tab -onServer -tmpDir=/data/tmp -renameSqlTable \ -sqlTable=$HOME/kent/src/hg/lib/snpOrthoPanPonRhe.sql \ hg19 snp135OrthoPt3Pa2Rm2 snp135OrthoPt3Pa2Rm2.bed #Loaded 43184090 elements of size 22 # Cleanup: rm -r run*/split tmp.txt *.orthoGlom.txt snp135Simple.bed gzip snp135ExcludeIds.txt snp135ForLiftOver.bed & ############################################################################ # DBSNP CODING ANNOTATIONS (135) (DONE 11/14/11 angie) # It wasn't necessary to redo this following the 9/1 re-run of doDbSnp.pl because # that simply picked up new allele frequency info, no change to exceptions etc. cd /hive/data/outside/dbSNP/135/human # ncbiFuncAnnotations.txt has NCBI coords: 0-based, fully closed. # For anything except an insertion (0 bases between flanks), # we need to add 1 to the end coord. For an insertion, we need # to add 1 to the start coord. Make a hash of the insertion IDs, # then look up each ID in ncbiFuncAnnotations.txt to tell which # transform to apply. # Note: sort -u with the keys below is too restrictive -- we need full line uniq. zcat ncbiFuncAnnotations.txt.gz \ | perl -we 'open($IDS, "zcat ncbiFuncInsertions.ctg.bed.gz |") || die "ids: $!"; \ while (<$IDS>) { chomp; $ids{$_} = 1; } \ close($IDS); \ %coding = (2=>1, 3=>1, 4=>1, 8=>1, 9=>1, 41=>1, 42=>1, 44=>1, 45=>1); \ while (<>) { \ chomp; @w = split("\t"); # id, ctg, start, end, ... \ next unless $coding{$w[5]}; \ $bed4 = join("\t", $w[1], $w[2], $w[3], $w[0]); \ if (exists $ids{$bed4} && $w[3] == $w[2]+1) { \ $w[2]++; # 2-base insertions: increment start coord \ } else { \ $w[3]++; # increment end coord to get half-open \ } \ print join("\t", @w) . "\n"; \ }' \ | sort -k1n,1n -k2,2 -k3n,3n -k5,5 -k6n,6n \ | uniq \ > ncbiCodingAnnotations.txt wc -l ncbiCodingAnnotations.txt #2803490 ncbiCodingAnnotations.txt # How many & what kinds of function types? cut -f 6 ncbiCodingAnnotations.txt \ | sort -n | uniq -c # 512390 3 (coding-synon) #1385793 8 (cds-reference -- ignored) # 23909 41 (nonsense) # 827675 42 (missense) # 53703 44 (frameshift) # 20 45 (cds-indel) # Gather up multiple annotation lines into one line per {snp, gene, frame}: perl -e 'while (<>) { chomp; \ my ($rsId, $ctg, $s, $e, $txId, $fxn, $frm, $nt, $aa, $codon) = split("\t"); \ if (defined $lastRs && \ ($lastRs != $rsId || $lastCtg ne $ctg || $lastS != $s || \ $lastTx ne $txId || $lastFrm ne $frm)) { \ if (defined $refRow) { \ $fxns = "$refRow->[0],$fxns"; $nts = "$refRow->[1],$nts"; \ $aas = "$refRow->[2],$aas"; $codons = "$refRow->[3],$codons"; \ } \ print "$lastCtg\t$lastS\t$lastE\trs$lastRs\t$lastTx\t$lastFrm\t" . \ "$count\t$fxns\t$nts\t$codons\t$aas\n"; \ $refRow = undef; @rows = (); ($count, $fxns, $nts, $codons, $aas) = (); \ } \ ($lastRs, $lastCtg, $lastS, $lastE, $lastTx, $lastFrm) = \ ($rsId, $ctg, $s, $e, $txId, $frm); \ $count++; \ if ($fxn == 8) { \ $refRow = [$fxn, $nt, $aa, $codon]; \ } else { \ $fxns .= "$fxn,"; $nts .= "$nt,"; $aas .= "$aa,"; $codons .= "$codon,"; \ } \ } \ if (defined $refRow) { \ $fxns = "$refRow->[0],$fxns"; $nts = "$refRow->[1],$nts"; \ $aas = "$refRow->[2],$aas"; $codons = "$refRow->[3],$codons"; \ } \ print "$lastCtg\t$lastS\t$lastE\trs$lastRs\t$lastTx\t$lastFrm\t" . \ "$count\t$fxns\t$nts\t$codons\t$aas\n";' \ ncbiCodingAnnotations.txt \ | liftUp snp135CodingDbSnp.bed /hive/data/genomes/hg19/jkStuff/liftContigs.lft warn stdin hgLoadBed hg19 snp135CodingDbSnp -sqlTable=$HOME/kent/src/hg/lib/snp125Coding.sql \ -renameSqlTable -tab -notItemRgb -allowStartEqualEnd \ snp135CodingDbSnp.bed #Loaded 1385812 elements of size 11 ############################################################################ # SNPMASKED SEQUENCE FOR SNP135 (DONE 11/14/11 angie) mkdir /hive/data/genomes/hg19/snp135Mask cd /hive/data/genomes/hg19/snp135Mask # Identify rsIds with various problems -- we will exclude those. zcat /hive/data/outside/dbSNP/135/human/snp135.bed.gz \ | awk '$18 ~ /MultipleAlignments|ObservedTooLong|ObservedWrongFormat|ObservedMismatch|MixedObserved/ {print $4;}' \ | sort -u \ > snp135ExcludeRsIds.txt zcat /hive/data/outside/dbSNP/135/human/snp135.bed.gz \ | grep -vFwf snp135ExcludeRsIds.txt \ > snp135Cleaned.bed wc -l snp135Cleaned.bed #49922101 snp135Cleaned.bed # Substitutions: mkdir substitutions snpMaskSingle snp135Cleaned.bed /hive/data/genomes/hg19/hg19.2bit stdout diffObserved.txt \ | faSplit byname stdin substitutions/ #Masked 44283699 snps in 44281659 out of 3131050506 genomic bases #/hive/data/genomes/hg19/hg19.2bit has 3137161264 total bases, but the total number of bases in sequences for which we masked snps is 3131050506 (difference is 6110758) # warnings about differing observed strings at same base position: wc -l diffObserved.txt #3661 diffObserved.txt #TODO: send list to dbSNP. # Check that 6110758 is the total #bases in sequences with nothing in snp135Cleaned: grep -Fw single snp135Cleaned.bed | cut -f 1 | uniq > /data/tmp/1 grep -vwf /data/tmp/1 ../chrom.sizes \ | awk 'BEGIN {TOTAL = 0;} {TOTAL += $2;} END {printf "%d\n", TOTAL;}' #6110758 # Make sure that sizes are identical, first diffs are normal -> IUPAC, # and first diffs' case is preserved: foreach f (substitutions/chr*.fa) faCmp -softMask $f ../[1-9UMXY]*/$f:t |& grep -v "that differ" end #chr1 in substitutions/chr1.fa differs from chr1 at ../1/chr1.fa at base 10233 (y != c) #chr10 in substitutions/chr10.fa differs from chr10 at ../10/chr10.fa at base 60522 (K != T) #... #(output OK -- ambiguous bases replacing [agct] at SNP positions) foreach f (substitutions/chr*.fa) echo $f:t:r mv $f $f:r.subst.fa gzip $f:r.subst.fa & end # Insertions & deletions not done. To date we have only offered substs for download. # If there is user demand, use template from snp131 above. # Clean up and prepare for download: gzip snp135Cleaned.bed & foreach d (substitutions) pushd $d md5sum *.gz > md5sum.txt cp /hive/data/genomes/hg19/snp132Mask/$d/README.txt . popd end # Edit the README.txt. # Create download links on hgwdev. mkdir /usr/local/apache/htdocs-hgdownload/goldenPath/hg19/snp135Mask ln -s /hive/data/genomes/hg19/snp135Mask/substitutions/* \ /usr/local/apache/htdocs-hgdownload/goldenPath/hg19/snp135Mask/ ############################################################################# # SIB Transcriptome (DONE 2011-12-02 Chin) # Create working directory and download data from where Christian # Iseli (Christian.Iseli at licr.org) put it, and unpack. mkdir -p /hive/data/outside/lirc cd /hive/data/outside/lirc wget --timestamping ftp://ftp.licr.org/pub/hg19/HTr.gtf.gz wget --timestamping ftp://ftp.licr.org/pub/hg19/txg.tar.gz cd /hive/data/genomes/hg19/bed/ mkdir sibTranscriptome cd sibTranscriptome tar -zxvf /hive/data/outside/lirc/txg.tar.gz cp /hive/data/outside/lirc/HTr.gtf.gz . zcat HTr.gtf.gz | ldHgGene hg19 sibGene stdin # Reading stdin # Read 195300 transcripts in 2564421 lines in 1 files # 195300 groups 25 seqs 1 sources 2 feature types # 195300 gene predictions # Do a little data cleanup and transformation and load splice graphs # into database. sed 's/altGraphX/sibTxGraph/' ~/kent/src/hg/lib/altGraphX.sql > sibTxGraph.sql cat txg/*.txg | txgToAgx stdin stdout | hgLoadBed -notItemRgb \ -sqlTable=sibTxGraph.sql hg19 sibTxGraph stdin # Reading stdin # Loaded 46973 elements of size 18 # Sorted # Creating table definition for sibTxGraph # Saving bed.tab # Loading hg19 # Create sibAltEvents track for analysed alt-splices. # Not on RR for hg18 and hg19, so do not push it out cat txg/*.txg | txgAnalyze stdin /cluster/data/hg19/hg19.2bit sibAltEvents.bed awk '$2 >= 0' sibAltEvents.bed | sort | uniq > foo.bed hgLoadBed hg19 sibAltEvents foo.bed # Reading foo.bed # Loaded 431590 elements of size 6 # Sorted # Creating table definition for sibAltEvents # Saving bed.tab # Loading hg19 # push sibGene and sibTxGraph for hg19 ############################################################################ # HGNC: Hugo Gene Nomenclature Committee (DONE 2012-05-20 cline) mkdir /hive/data/outside/hgnc cd /hive/data/outside/hgnc mkdir 052012 cd 052012 wget -O hgnc.txt "http://www.genenames.org/cgi-bin/hgnc_downloads.cgi?title=HGNC+output+data&hgnc_dbtag=on&preset=all&status=Approved&status=Entry+Withdrawn&status_opt=2&level=pri&=on&where=&order_by=gd_app_sym_sort&limit=&format=text&submit=submit&.cgifields=&.cgifields=level&.cgifields=chr&.cgifields=status&.cgifields=hgnc_dbtag" tail -n +2 hgnc.txt |grep -v withdrawn \ | hgLoadSqlTab hg19 hgnc ~/kent/src/hg/lib/hgnc.sql stdin ######################################################################### # LASTZ Cow BosTau7 (DONE - 2012-01-23 - Chin) mkdir /hive/data/genomes/hg19/bed/lastzBosTau7.2012-01-23 cd /hive/data/genomes/hg19/bed/lastzBosTau7.2012-01-23 cat << '_EOF_' > DEF # human vs cow # maximum M allowed with lastz is only 254 BLASTZ_M=254 # TARGET: Human hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Cow bosTau7 SEQ2_DIR=/scratch/data/bosTau7/bosTau7.2bit SEQ2_LEN=/scratch/data/bosTau7/chrom.sizes SEQ2_CHUNK=10000000 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzBosTau7.2012-01-23 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -syntenicNet \ -noLoadChainSplit \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ -chainMinScore=3000 -chainLinearGap=medium > do.log 2>&1 & # real 433m45.814s cat fb.hg19.chainBosTau7Link.txt # 1360887008 bases of 2897316137 (46.971%) in intersection # Create link cd /hive/data/genomes/hg19/bed ln -s lastzBosTau7.2012-01-23 lastz.bosTau7 # running the swap mkdir /hive/data/genomes/bosTau7/bed/blastz.hg19.swap cd /hive/data/genomes/bosTau7/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzBosTau7.2012-01-23/DEF \ -swap -syntenicNet \ -noLoadChainSplit \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ -chainMinScore=3000 -chainLinearGap=medium > swap.log 2>&1 & # real 95m9.611s cat fb.bosTau7.chainHg19Link.txt # 1388551419 bases of 2804673174 (49.508%) in intersection cd /hive/data/genomes/bosTau7/bed ln -s blastz.hg19.swap lastz.hg19 ############################################################################ # UPDATE COSMIC TRACK - v57 (DONE 2012-01-26 larrym) # Table stats before hgsql hg19 -s -e 'select count(*) from cosmicRaw' 55579 hgsql hg19 -s -e 'select count(*) from cosmic' 49087 ~/kent/src/hg/utils/automation/loadCosmic.pl hg19 ftp://ftp.sanger.ac.uk/pub/CGP/cosmic/data_export/Request_based_exports/UCSCMutExp_v57_180112.csv # Table stats after hgsql hg19 -s -e 'select count(*) from cosmicRaw' 78152 hgsql hg19 -s -e 'select count(*) from cosmic' 71437 Here's some ID's that were added in this release (and not present on RR): COSM143850 COSM143824 COSM143823 COSM143802 COSM143801 ############################################################################ # POLYA-SEQ TRACK (from Adnan Derti, Merck) (LOADED, Andy 2012-01-30) # Fan unpacked the .zip a while back cd /hive/data/genomes/hg19/bed/polyA # make links with more UCSCish naming mkdir /hive/data/genomes/{hg18,hg19,canFam2,mm9,rn4,rheMac2}/bed/polyASeq mkdir -p /gbdb/{hg18,hg19,canFam2,mm9,rn4,rheMac2}/bbi for set in `ls -1 | grep -v orig | grep -v table`; do suff=`echo $set | sed 's/^[a-z]\+_//'`; db=`echo $suff | sed 's/\_.*//'`; tiss=`echo $suff | sed 's/.\+\_//; s/^[a-z]/\U&/; s/-[a-z]/\U&/; s/-//'`; Db=`echo $db | sed 's/^[a-z]/\U&/'`; printf "%s\t%s\t%s\t%s\t%s\n" $set $db $Db $tiss $suff done > table.info for set in `ls -1 | grep -v orig | grep -v table`; do suff=`echo $set | sed 's/^[a-z]\+_//'`; db=`echo $suff | sed 's/\_.*//'`; tiss=`echo $suff | sed 's/.\+\_//; s/^[a-z]/\U&/; s/-[a-z]/\U&/; s/-//'`; Db=`echo $db | sed 's/^[a-z]/\U&/'`; fwdTable=polyASeqSites${tiss}Fwd revTable=polyASeqSites${tiss}Rev fwdBg=/hive/data/genomes/${db}/bed/polyASeq/${fwdTable}.bedGraph revBg=/hive/data/genomes/${db}/bed/polyASeq/${revTable}.bedGraph fwdBw=${fwdBg%.bedGraph}.bw revBw=${revBg%.bedGraph}.bw tail -n +2 ${set}/polyaseq_sites_fwd_strand.bedgraph | sort -k1,1 -k2,2n > $fwdBg; tail -n +2 ${set}/polyaseq_sites_rev_strand.bedgraph | sort -k1,1 -k2,2n > $revBg; bedGraphToBigWig $fwdBg /hive/data/genomes/${db}/chrom.sizes $fwdBw bedGraphToBigWig $revBg /hive/data/genomes/${db}/chrom.sizes $revBw ln -s $fwdBw /gbdb/${db}/bbi/ ln -s $revBw /gbdb/${db}/bbi/ hgBbiDbLink $db $fwdTable /gbdb/${db}/bbi/${fwdTable}.bw hgBbiDbLink $db $revTable /gbdb/${db}/bbi/${revTable}.bw done # silly loop to take care of the majority of the trackDb. # the rest copy/paste cat table.info | while read -a line; do db=${line[1]} for Strand in Fwd Rev; do strand=`echo $Strand | tr [:upper:] [:lower:]` bg=${line[0]}/polyaseq_sites_${strand}_strand.bedgraph tiss=${line[3]} table=polyASeqSites${tiss}${Strand} bw=/gbdb/${db}/bbi/${table}.bw min=`bigWigInfo $bw | grep "^min" | sed 's/min: //'` max=`bigWigInfo $bw | grep "^max" | sed 's/max: //'` echo " track "$table echo " parent polyASeqSitesSignalView" echo " subGroups view=Signal tissType="$tiss" strand="$strand echo " shortLabel PolyA-Seq "$tiss echo " longLabel Poly(A)-tail sequencing of "$tiss" from Merck ("$Strand" strand)" if [ $strand = "fwd" ]; then echo " color 153,51,51" else echo " color 0,0,0" fi echo " type bigWig "$min" "$max echo done >> ${db}.ra done ############################################################################## # LASTZ MOUSE Mm10 (DONE - 2012-03-08 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzMm10.2012-03-07 cd /hive/data/genomes/hg19/bed/lastzMm10.2012-03-07 cat << '_EOF_' > DEF # human vs mouse BLASTZ=/cluster/bin/penn/lastz-distrib-1.03.02/bin/lastz BLASTZ_ABRIDGE_REPEATS=1 # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_SMSK=/scratch/data/hg19/lineageSpecificRepeats SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=20000000 SEQ1_LAP=10000 # QUERY: Mouse Mm9 SEQ2_DIR=/scratch/data/mm10/nib SEQ2_SMSK=/scratch/data/mm10/notInOthers SEQ2_LEN=/scratch/data/mm10/chrom.sizes SEQ2_CHUNK=10000000 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzMm10.2012-03-07 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # establish a screen to control this job screen time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -noLoadChainSplit -syntenicNet \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -chainMinScore=3000 -chainLinearGap=medium > do.log 2>&1 & # real 197m23.436s cat fb.hg19.chainMm10Link.txt # 1021265143 bases of 2897316137 (35.249%) in intersection # set sym link to indicate this is the lastz for this genome: cd /hive/data/genomes/hg19/bed ln -s lastzMm10.2012-03-07 lastz.mm10 # and the swap mkdir /hive/data/genomes/mm10/bed/blastz.hg19.swap cd /hive/data/genomes/mm10/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzMm10.2012-03-07/DEF \ -swap -noLoadChainSplit -syntenicNet \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -chainMinScore=3000 -chainLinearGap=medium > swap.log 2>&1 & # real 72m32.794s cat fb.mm10.chainHg19Link.txt # 1014045890 bases of 2652783500 (38.226%) in intersection # set sym link to indicate this is the lastz for this genome: cd /hive/data/genomes/mm10/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # LIFT ENCODE REGIONS FROM HG19 (DONE, Andy) echo "select * from encodeRegions" | hgsql hg18 | tail -n +2 \ | liftOver /dev/stdin /gbdb/hg18/liftOver/hg18ToHg19.over.chain.gz /dev/stdout encodeRegions.unmapped \ | hgLoadBed -noBin hg19 encodeRegions /dev/stdin # (all mapped cleanly) ######################################################################### ## WINDOWMASKER (DONE - 2012-04-19 - Hiram) mkdir /hive/data/genomes/hg19/bed/windowMasker cd /hive/data/genomes/hg19/bed/windowMasker time nice -n +19 doWindowMasker.pl -buildDir=`pwd` -workhorse=hgwdev \ -dbHost=hgwdev hg19 > do.log 2>&1 & # real 225m45.489s # Masking statistics twoBitToFa hg19.wmsk.2bit stdout | faSize stdin # 3137161264 bases (239850802 N's 2897310462 real 1828487268 upper # 1068823194 lower) in 93 sequences in 1 files # Total size: mean 33732916.8 sd 63483709.4 # min 4262 (chr18_gl000207_random) max 249250621 (chr1) median 172294 # %34.07 masked total, %36.89 masked real twoBitToFa hg19.wmsk.sdust.2bit stdout | faSize stdin # 3137161264 bases (239850802 N's 2897310462 real 1811306328 upper # 1086004134 lower) in 93 sequences in 1 files # Total size: mean 33732916.8 sd 63483709.4 # min 4262 (chr18_gl000207_random) max 249250621 (chr1) median 172294 # %34.62 masked total, %37.48 masked real hgLoadBed hg19 windowmaskerSdust windowmasker.sdust.bed.gz # Read 16318719 elements of size 3 from windowmasker.sdust.bed.gz featureBits -countGaps hg19 windowmaskerSdust # 1325854876 bases of 3137161264 (42.263%) in intersection # eliminate the gaps from the masking featureBits hg19 -not gap -bed=notGap.bed # 2897316137 bases of 2897316137 (100.000%) in intersection time nice -n +19 featureBits hg19 windowmaskerSdust notGap.bed \ -bed=stdout | gzip -c > cleanWMask.bed.gz # 1086009749 bases of 2897316137 (37.483%) in intersection # real 2m11.261s # reload track to get it clean hgLoadBed hg19 windowmaskerSdust cleanWMask.bed.gz # Read 16318560 elements of size 4 from cleanWMask.bed.gz time featureBits -countGaps hg19 windowmaskerSdust # 1086009749 bases of 3137161264 (34.618%) in intersection # real 1m34.044s # do *not* need to mask with this clean result since RepeatMasker # does a very good job here. Using RM masking instead. # zcat cleanWMask.bed.gz \ # | twoBitMask ../../hg19.unmasked.2bit stdin \ # -type=.bed hg19.cleanWMSdust.2bit # twoBitToFa hg19.cleanWMSdust.2bit stdout | faSize stdin \ # > hg19.cleanWMSdust.faSize.txt # cat hg19.cleanWMSdust.faSize.txt # how much does this window masker and repeat masker overlap: time featureBits -countGaps hg19 rmsk windowmaskerSdust # 849334688 bases of 3137161264 (27.073%) in intersection # real 2m4.634s # RM by itself: time featureBits -countGaps hg19 rmsk # 1465724774 bases of 3137161264 (46.721%) in intersection # real 0m33.408s ##########################################################################pubStart # Publications track (DONE - 04-27-12 - Max) # article download and conversion is run every night on hgwdev: # 22 22 * * * /hive/data/inside/literature/pubtools/pubCronDailyUpdate.sh # the script downloads files into /hive/data/outside/literature/{PubMedCentral,ElsevierConsyn}/ # then converts them to text into /hive/data/outside/literature/{pmc,elsevier} # all configuration of the pipeline is in /hive/data/inside/literature/pubtools/lib/pubConf.py # data processing was run manually like this export PATH=/cluster/home/max/bin/x86_64:/cluster/bin/x86_64:/cluster/home/max/software/bin/:/cluster/software/bin:/cluster/home/max/projects/pubtools:/cluster/home/max/bin/x86_64:/hive/groups/recon/local/bin:/usr/local/bin:/usr/bin:/bin:/usr/bin/X11:/cluster/home/max/usr/src/scripts:/cluster/home/max/usr/src/oneshot:/cluster/home/max/bin:/cluster/bin/scripts:.:/cluster/home/max/usr/bin:/usr/lib64/qt-3.3/bin:/usr/kerberos/bin:/usr/local/bin:/bin:/usr/bin:/usr/lpp/mmfs/bin/:/opt/dell/srvadmin/bin:/cluster/bin/scripts:/hive/users/hiram/cloud/ec2-api-tools-1.3-51254/bin:/cluster/home/max/bin:/usr/bin/X11:/usr/java/jdk1.6.0_20/bin:/cluster/home/max/bin:/hive/data/inside/literature/pubtools/ # pmc cd /hive/data/inside/literature/pubtools/runs/pmcBlat/ pubBlat init /hive/data/inside/literature/blat/pmc/ /hive/data/inside/literature/text/pmc ssh swarm cd /hive/data/inside/literature/pubtools/runs/pmcBlat/ pubBlat steps:annot-tables exit pubBlat load # elsevier cd /hive/data/inside/literature/pubtools/runs/elsBlat/ pubBlat init /hive/data/inside/literature/blat/elsevier/ /hive/data/inside/literature/text/elsevier ssh swarm cd /hive/data/inside/literature/pubtools/runs/elsBlat/ pubBlat steps:annot-tables exit pubBlat load #--pubEnd ############################################################################# # lifting HapMap recombination maps from hg18 (DONE - 2012-05-09 - Hiram) mkdir -p /hive/data/genomes/hg19/bed/hapmap/release24FromHg18 cd /hive/data/genomes/hg19/bed/hapmap/release24FromHg18 ln -s /hive/data/genomes/hg18/bed/hapmap/release24/hapMapRelease24CEURecombMap.bedGraph hg18.hapMapRelease24CEURecombMap.bedGraph ln -s /hive/data/genomes/hg18/bed/hapmap/release24/hapMapRelease24YRIRecombMap.bedGraph hg18.hapMapRelease24YRIRecombMap.bedGraph ln -s /hive/data/genomes/hg18/bed/hapmap/release24/hapMapRelease24CombinedRecombMap.bedGraph hg18.hapMapRelease24CombinedRecombMap.bedGraph liftOver hg18.hapMapRelease24CEURecombMap.bedGraph \ /hive/data/genomes/hg18/bed/liftOver/hg18ToHg19.over.chain.gz \ stdout hapMapRelease24CEURecombMap.unmapped | sort -k1,1 -k2,2n \ > hapMapRelease24CEURecombMap.bedGraph liftOver hg18.hapMapRelease24YRIRecombMap.bedGraph \ /hive/data/genomes/hg18/bed/liftOver/hg18ToHg19.over.chain.gz \ stdout hapMapRelease24YRIRecombMap.unmapped | sort -k1,1 -k2,2n \ > hapMapRelease24YRIRecombMap.bedGraph liftOver hg18.hapMapRelease24CombinedRecombMap.bedGraph \ /hive/data/genomes/hg18/bed/liftOver/hg18ToHg19.over.chain.gz \ stdout hapMapRelease24CombinedRecombMap.unmapped | sort -k1,1 -k2,2n \ > hapMapRelease24CombinedRecombMap.bedGraph for F in hapMapRelease24CEURecombMap hapMapRelease24CombinedRecombMap \ hapMapRelease24YRIRecombMap do bedGraphToBigWig -verbose=2 ${F}.bedGraph \ /hive/data/genomes/hg19/chrom.sizes ${F}.bw > ${F}.log 2>&1 done for T in hapMapRelease24CEURecombMap hapMapRelease24CombinedRecombMap \ hapMapRelease24YRIRecombMap do rm -f /gbdb/hg19/decode/${T}.bw ln -s `pwd`/${T}.bw /gbdb/hg19/decode/${T}.bw hgsql -e "drop table ${T};" hg19 hgBbiDbLink hg19 ${T} /gbdb/hg19/decode/${T}.bw done ############################################################################# # 1000 GENOMES PHASE 1 VARIANT CALLS (UPDATE DONE 10/9/12 angie) # Autosomes and chrX loaded 5/21/12; chrY (and chrM but it's rCRS of course) # became available in July '12. Existing released files were quietly updated # 10/1/12 with some new variant IDs. # This is a lot of data. Use aspera (ascp) instead of ftp, run in a screen. screen -S phase1 mkdir -p /hive/data/genomes/hg19/bed/1000Genomes/phase1 cd /hive/data/genomes/hg19/bed/1000Genomes/phase1 set ascpCmd = /opt/aspera/connect/bin/ascp set ascpArgs = '-i /opt/aspera/connect/etc/asperaweb_id_dsa.putty -QTr -l150M' set phase1Path = anonftp@ftp-private.ncbi.nlm.nih.gov:/1000genomes/ftp/phase1/analysis_results/integrated_call_sets $ascpCmd $ascpArgs \ $phase1Path/README.ALL.BI_genome_strip_hq_chrY.20101123 \ $phase1Path/README_phase1_integrated_call_set_20120621 \ $phase1Path/integrated_call_samples.20101123.ALL.panel \ $phase1Path/integrated_call_samples.20101123.ped \ $phase1Path/uniq.chrY.human.ncbi37.txt \ . # BTW if you see "Error 51 [Destination: Permission denied]" when reloading, # it's because the files are read-only -- move aside or rm, then try again. foreach c (1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 X) set file = $phase1Path/ALL.chr$c.integrated_phase1_v3.20101123.snps_indels_svs.genotypes.vcf.gz set cmd = "$ascpCmd $ascpArgs $file $file.tbi ." echo $cmd $cmd if ($status != 0) then echo ================ ERROR chrom $c ====================== endif end du -sh --apparent . #142G . $ascpCmd $ascpArgs $phase1Path/ALL.chrY.genome_strip_hq.20101123.svs.low_coverage.genotypes.vcf.gz{,.tbi} . $ascpCmd $ascpArgs $phase1Path/ALL.chrY.phase1_samtools_si.20101123.snps.low_coverage.genotypes.vcf.gz{,.tbi} . # I wondered why they didn't merge the two chrY call sets (SNPs and SVs) -- # the SVS file has 456 individs and the SNPs file has 526. At least the # 456 are a subset of the 526... but for now I will just use the SNPs file. # Grab chrMT even though we don't have liftOver for VCF at this point: $ascpCmd $ascpArgs $phase1Path/ALL.chrMT.phase1_samtools_si.20101123.snps.low_coverage.genotypes.vcf.gz{,.tbi} . # Hmmmm, how much space do we have on /gbdb? Well, link it on hgwdev anyway: mkdir /gbdb/hg19/1000Genomes ln -s `pwd`/*.vcf.gz* /gbdb/hg19/1000Genomes/ cp /dev/null tgpPhase1.txt foreach c (1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 X) set file = ALL.chr$c.integrated_phase1_v3.20101123.snps_indels_svs.genotypes.vcf.gz echo "/gbdb/hg19/1000Genomes/$file\tchr$c" >> tgpPhase1.txt end echo "/gbdb/hg19/1000Genomes/ALL.chrY.phase1_samtools_si.20101123.snps.low_coverage.genotypes.vcf.gz\tchrY" \ >> tgpPhase1.txt hgLoadSqlTab hg19 tgpPhase1 ~/kent/src/hg/lib/bbiChroms.sql tgpPhase1.txt # Make a chromosomes line for trackDb: use hg19 -NBe 'select seqName from tgpPhase1' | xargs echo | sed -e 's/ /,/g' #chr1,chr10,chr11,chr12,chr13,chr14,chr15,chr16,chr17,chr18,chr19,chr2,chr20,chr21,chr22,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chrX,chrY ############################################################################ # 1000 GENOMES PAIRED-END ACCESSIBLE REGIONS (#1079) (DONE 8/22/12 angie) # Data provided by Tom Blackwell at University of Michigan mkdir /hive/data/genomes/hg19/bed/1000Genomes/phase1Mapability cd /hive/data/genomes/hg19/bed/1000Genomes/phase1Mapability wget -r ftp://share.sph.umich.edu/public ln -s `pwd`/share.sph.umich.edu/public/paired.end.mapping.1000G..pilot.bb \ /gbdb/hg19/1000Genomes/ ln -s `pwd`/share.sph.umich.edu/public/paired.end.mapping.1000G.strict.bb \ /gbdb/hg19/1000Genomes/ hgBbiLink hg19 tgpPhase1AccessibilityPilotCriteria \ /gbdb/hg19/1000Genomes/paired.end.mapping.1000G..pilot.bb hgBbiLink hg19 tgpPhase1AccessibilityStrictCriteria \ /gbdb/hg19/1000Genomes/paired.end.mapping.1000G.strict.bb ############################################################################ # UPDATE COSMIC TRACK - v59 (DONE 2012-05-23 larrym) ~/kent/src/hg/utils/automation/loadCosmic.pl -oldVer=55 hg19 ftp://ftp.sanger.ac.uk/pub/CGP/cosmic/data_export/Request_based_exports/UCSCMutExp_v59_230512.csv Loading COSMIC v59 New length: 136638 Old length: 49087 Percent bed overlap with previous version: 99.95% Number of deleted IDs: 20 Number of added IDs: 87571 ######################################################################### # LASTZ Rat Rn5 (DONE - 2009-05-13 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzRn5.2012-06-27 cd /hive/data/genomes/hg19/bed/lastzRn5.2012-06-27 cat << '_EOF_' > DEF # human vs rat # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Rat Rn5 SEQ2_DIR=/hive/data/genomes/rn5/rn5.2bit SEQ2_LEN=/hive/data/genomes/rn5/chrom.sizes SEQ2_CHUNK=10000000 SEQ2_LIMIT=100 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzRn5.2012-06-27 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # establish a screen to control this job screen time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -syntenicNet -noLoadChainSplit \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -chainMinScore=3000 -chainLinearGap=medium > do.log 2>&1 & # real 658m53.984s cat fb.hg19.chainRn5Link.txt # 917356917 bases of 2897316137 (31.662%) in intersection # running the swap - DONE - 2012-06-27 mkdir /hive/data/genomes/rn5/bed/blastz.hg19.swap cd /hive/data/genomes/rn5/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzRn5.2012-06-27/DEF \ -swap -noLoadChainSplit \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -chainMinScore=3000 -chainLinearGap=medium > swap.log 2>&1 & # real 66m53.095s cat fb.rn5.chainHg19Link.txt # 933922552 bases of 2572853723 (36.299%) in intersection ############################################################################## # LASTZ tenrec echTel1 (DONE - 2012-06-29 - Hiram) # establish a screen to control this job with a name to indicate what it is screen -S hg19EchTel1 mkdir /hive/data/genomes/hg19/bed/lastzEchTel1.2012-06-29 cd /hive/data/genomes/hg19/bed/lastzEchTel1.2012-06-29 # adjust the SEQ2_LIMIT with -stop=partition to get a reasonable # number of jobs, 50,000 to something under 100,000 cat << '_EOF_' > DEF # tenrec vs human BLASTZ=/cluster/bin/penn/lastz-distrib-1.03.02/bin/lastz # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=20000000 SEQ1_LAP=10000 # QUERY: tenrec EchTel1 SEQ2_DIR=/scratch/data/echTel1/echTel1.2bit SEQ2_LEN=/scratch/data/echTel1/chrom.sizes SEQ2_CHUNK=10000000 SEQ2_LAP=0 SEQ2_LIMIT=700 BASE=/hive/data/genomes/hg19/bed/lastzEchTel1.2012-06-29 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -chainMinScore=3000 -chainLinearGap=medium > do.log 2>&1 & # real 411m54.452s cat fb.hg19.chainEchTel1Link.txt # 670299345 bases of 2897316137 (23.135%) in intersection # set sym link to indicate this is the lastz for this genome: cd /hive/data/genomes/hg19/bed ln -s lastzEchTel1.2012-06-29 lastz.echTel1 # better to have reciprocal best for this one since it is low coverage: cd /hive/data/genomes/hg19/bed/lastzEchTel1.2012-06-29 time doRecipBest.pl hg19 echTel1 -buildDir=`pwd` -workhorse=hgwdev \ > best.log 2>&1 & # real 48m11.157s mkdir /hive/data/genomes/echTel1/bed/blastz.hg19.swap cd /hive/data/genomes/echTel1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzEchTel1.2012-06-29/DEF \ -swap -syntenicNet \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -chainMinScore=3000 -chainLinearGap=medium > swap.log 2>&1 & # real 405m49.935s cat fb.echTel1.chainMm10Link.txt # 659524096 bases of 2111581369 (31.234%) in intersection # set sym link to indicate this is the lastz for this genome: cd /hive/data/genomes/echTel1/bed ln -s blastz.hg19.swap lastz.hg19 ############################################################################## # LASTZ dog canFam3 (DONE - 2012-07-03 - Hiram) # establish a screen to control this job with a name to indicate what it is screen -S hg19CanFam3 mkdir /hive/data/genomes/hg19/bed/lastzCanFam3.2012-07-03 cd /hive/data/genomes/hg19/bed/lastzCanFam3.2012-07-03 # adjust the SEQ2_LIMIT with -stop=partition to get a reasonable # number of jobs, 50,000 to something under 100,000 cat << '_EOF_' > DEF # human vs dog BLASTZ=/cluster/bin/penn/lastz-distrib-1.03.02/bin/lastz # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=20000000 SEQ1_LAP=10000 # QUERY: dog CanFam3 SEQ2_DIR=/hive/data/genomes/canFam3/canFam3.2bit SEQ2_LEN=/hive/data/genomes/canFam3/chrom.sizes SEQ2_CHUNK=10000000 SEQ2_LAP=0 SEQ2_LIMIT=20 BASE=/hive/data/genomes/hg19/bed/lastzCanFam3.2012-07-03 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # forgot to copy to the log time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -syntenicNet \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -chainMinScore=3000 -chainLinearGap=medium > do.log 2>&1 & # real 1019m39.790s cat fb.hg19.chainCanFam3Link.txt # 1502192631 bases of 2897316137 (51.848%) in intersection # set sym link to indicate this is the lastz for this genome: cd /hive/data/genomes/hg19/bed ln -s lastzCanFam3.2012-07-03 lastz.canFam3 mkdir /hive/data/genomes/canFam3/bed/blastz.hg19.swap cd /hive/data/genomes/canFam3/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzCanFam3.2012-07-03/DEF \ -swap -syntenicNet \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -chainMinScore=3000 -chainLinearGap=medium > swap.log 2>&1 & # real 103m14.464s cat fb.canFam3.chainHg19Link.txt # 1455183825 bases of 2392715236 (60.817%) in intersection # set sym link to indicate this is the lastz for this genome: cd /hive/data/genomes/canFam3/bed ln -s blastz.hg19.swap lastz.hg19 ############################################################################## # DBSNP B137 / SNP137 (DONE 8/19/13) # Originally done 7/11/12; updated w/corrections from dbSNP 9/10/12, 10/10, 11/9/12 # -- see comments below and #8360 note 36, 42, 45 # Updated 8/19/13 to fix allele frequencies (#11544) # Redmine #8360 mkdir -p /hive/data/outside/dbSNP/137/human cd /hive/data/outside/dbSNP/137/human # Look at the directory listing of ftp://ftp.ncbi.nih.gov/snp/database/organism_data/ # to find the subdir name to use as orgDir below (human_9606 in this case). # Then click into that directory and look for file names like # b(1[0-9][0-9])_*_([0-9]+_[0-9]) # -- use the first num for build and the second num_num for buildAssembly. # jkStuff/liftContigs.lft maps NCBI contig names to chroms; use that for liftUp. # # Some trial and error was required to get the config.ra just right -- # the b* filenames don't include buildAssembly! # patch contigs needed to be filtered out: cat > config.ra <<EOF db hg19 orgDir human_9606 build 137 buildAssembly liftUp /hive/data/genomes/hg19/jkStuff/liftContigs.lft refAssemblyLabel GRCh37.p5 ignoreDbSnpContigs NW_003(3159[0-9][0-9]|5710[3-6][0-9]) EOF ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra >& do.log & tail -f do.log # Script failed with mysql warnings because b137_ContigInfo.bcp.gz had an extra # column in the middle, relative to the CREATE TABLE def in human_9606_table.sql.gz. # I emailed dbsnp-collab-all@ncbi and manually spliced out the unexplained column: cd data mv b137_ContigInfo.bcp.gz b137_ContigInfo_extraColumn.bcp.gz zcat b137_ContigInfo_extraColumn.bcp.gz | cut -f 1-13,15-27 | gzip -c > b137_ContigInfo.bcp.gz ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra -continue loadDbSnp \ >>& do.log & tail -f do.log # mysql server crashed when loading the last table. Added "if (0)" around the # parts of loadDbSnp.csh that succeeded and ran it again to catch the last table: ./loadDbSnp.csh >>& do.log & tail -f do.log ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra -continue addToDbSnp \ >>& do.log & tail -f do.log # Next error: #/cluster/home/angie/kent/src/hg/utils/automation/snpAddTGPAlleleFreq.pl hg19snp137 #SNPAlleleFreq_TGP data are not sorted on snp_id (183304030 follows 191299099) at /cluster/home/angie/kent/src/hg/utils/automation/snpAddTGPAlleleFreq.pl line 75, <$tgpAlF> line 4. # I modified the mysql queries in snpAddTGPAlleleFreq.pl to order by snp_id, # added "if (0)" around the successful portion addToDbSnp.csh, ran again: ./addToDbSnp.csh >>& do.log & tail -f do.log # Had to do the above a few more times to deal with other unexpected conditions # e.g. an allele called "+". ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra -continue bigJoin \ >>& do.log & tail -f do.log # Some tweaks to snpNcbiToUcsc.c required (larger MAX_SNPID, new locType 7, new func 30=ncRNA): ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra -continue translate \ >>& do.log & tail -f do.log # After final snpNcbiToUcsc tweaking: ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra -continue load \ >>& do.log & tail -f do.log # 9/10/12, 10/10/12, 11/9/12: updates w/corrections from dbSNP. # The 9/10 update included SNPContigLoc with some corrected mappings -- and some # dropped mappings! # All 3 updates included new SNPContigLocusId (func predictions). # So, last time I'm doing this for snp137 -- new SNPContigLocusId, and # new SNPContigLoc with dropped lines added back in from original SNPContigLoc. cd /hive/data/outside/dbSNP/137/human/data # 9/10: mv b137_SNPContigLoc.bcp.gz b137_SNPContigLoc.orig.bcp.gz mv b137_SNPContigLocusId.bcp.gz b137_SNPContigLocusId.orig.bcp.gz wget ftp://ftp.ncbi.nih.gov/snp/temp/post_b137_fix_preview/b137_SNPContigLoc.bcp.gz wget ftp://ftp.ncbi.nih.gov/snp/temp/post_b137_fix_preview/b137_SNPContigLocusId.bcp.gz # 10/10: wget ftp://ftp.ncbi.nih.gov/snp/temp/post_b137_fix_preview/b137_SNPContigLocusId_before_QA.bcp mv b137_SNPContigLocusId.bcp.gz b137_SNPContigLocusId.120910.bcp.gz gzip b137_SNPContigLocusId_before_QA.bcp ln -s b137_SNPContigLocusId.bcp.gz b137_SNPContigLocusId_before_QA.bcp.gz # 11/9: wget ftp://ftp.ncbi.nih.gov/snp/temp/post_b137_fix_preview/2012_nov_08_preview/b137_SNPContigLocusId.bcp.gz mv b137_SNPContigLocusId.bcp.gz b137_SNPContigLocusId.121108.bcp.gz ln -s b137_SNPContigLocusId.121108.bcp.gz b137_SNPContigLocusId.bcp.gz # No update to SNPContigLoc, which in the Sep. update dropped some mappings # from the original. Add the dropped mappings back: cd /hive/data/outside/dbSNP/137/human/data cat > combineContigLoc.pl <<EOF #!/usr/bin/env perl # The latest b137_SNPContigLoc.bcp.gz contains some corrected mappings - # but it is also missing some mappings that it should have! # So step through the numerically sorted (by {snp_id, ctg_id, asn_from}) # new and old files; if the old file has something that the new file does not, # add it back in. use warnings; use strict; open(my $fNew, "zcat b137_SNPContigLoc.bcp.gz |") || die "$!"; open(my $fOld, "zcat b137_SNPContigLoc.orig.bcp.gz |") || die "$!"; open(my $fOut, "| gzip -c > b137_SNPContigLoc.merged.bcp.gz") || die "$!"; sub cmpLocs { my ($newRef, $oldRef) = @_; if (!defined $newRef->[1] || !defined $oldRef->[1]) { die; } my $diff = $newRef->[1] <=> $oldRef->[1]; return $diff unless ($diff == 0); $diff = $newRef->[2] <=> $oldRef->[2]; return $diff unless ($diff == 0); $diff = $newRef->[3] <=> $oldRef->[3]; return $diff; } my @old = split("\t", <$fOld>); while (<$fNew>) { my @new = split("\t"); if (defined $old[1]) { my $diff = &cmpLocs(\@new, \@old); while ($diff > 0) { # old file's line is missing from the new file -- print old line & get next old line print $fOut join("\t", @old); my $nextOld = <$fOld>; @old = split("\t", $nextOld); last if (! defined $old[1]); $diff = &cmpLocs(\@new, \@old); } if ($diff == 0) { # same line in new and old -- advance to next line from old file @old = split("\t", <$fOld>); } } # always print line from new file. print $fOut join("\t", @new); } if (defined $old[1]) { print $fOut join("\t", @old); while (<$fOld>) { print $fOut $_; } } EOF chmod a+x combineContigLoc.pl ./combineContigLoc.pl # Redo the parts of the doDbSnp.pl process that depend on SNPContigLoc and SNPContigLocusId: hgsql hg19snp137 -e 'drop table b137_SNPContigLoc; drop table b137_SNPContigLocusId;' hgsql hg19snp137 < schema/SNPContigLocs.sql # Relevant subset of loadDbSnp.csh: cd /hive/data/outside/dbSNP/137/human setenv TMPDIR /data/tmp set tmpDir = `mktemp -d $TMPDIR/doDbSnp.pl.translate.XXXXXX` chmod 775 $tmpDir pushd $tmpDir echo $tmpDir > /hive/data/outside/dbSNP/137/human/workingDir set t = b137_SNPContigLocusId zcat /hive/data/outside/dbSNP/137/human/data/$t.bcp.gz | egrep -vw '(HuRef|CRA_TCAGchr7v2)' | egrep -vw 'NW_003(3159[0-9][0-9]|5710[3-6][0-9])'\ | perl -wpe 's/(\d\d:\d\d:\d\d)\.\d+/$1/g; s/\t(\t|\n)/\t\\N$1/g; s/\t(\t|\n)/\t\\N$1/g;' \ | hgLoadSqlTab -oldTable hg19snp137 $t placeholder stdin hgsql hg19snp137 -e 'alter table b137_SNPContigLocusId add index (ctg_id);' zcat /hive/data/outside/dbSNP/137/human/data/b137_ContigInfo.bcp.gz | egrep -vw '(HuRef|CRA_TCAGchr7v2)' \ | cut -f 1 | sort -n > b137_ContigInfo.ctg_id.txt zcat /hive/data/outside/dbSNP/137/human/data/b137_SNPContigLoc.merged.bcp.gz \ | grep -Fwf b137_ContigInfo.ctg_id.txt \ | perl -wpe 's/(\d\d:\d\d:\d\d)\.\d+/$1/g; s/\t(\t|\n)/\t\\N$1/g; s/\t(\t|\n)/\t\\N$1/g;' \ > tmp.tab hgLoadSqlTab -oldTable hg19snp137 b137_SNPContigLoc placeholder tmp.tab hgsql hg19snp137 -e 'alter table b137_SNPContigLoc add index (ctg_id);' hgsql hg19snp137 -e 'create table ContigLocFix select cl.* from b137_SNPContigLoc as cl, b137_ContigInfo as ci where cl.ctg_id = ci.ctg_id;' hgsql hg19snp137 -e 'alter table ContigLocFix add index (ctg_id);' hgsql hg19snp137 -e 'drop table b137_SNPContigLoc; \ rename table ContigLocFix to b137_SNPContigLoc;' hgsql hg19snp137 -e 'alter table b137_SNPContigLoc add index (snp_id);' popd # Run the first parts of addToDbSnp (if(0)'d out the rest): ./addToDbSnp.csh >>& do.log & tail -f do.log # Redo from bigJoin onward... ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra -continue bigJoin \ >>& do.log & tail -f do.log # NOTE FOR NEXT TIME - 6/26/13 # In MLQ #, a user reported missing SNP IDs and I suspect that some of the # losses might have something to do with IDs mapped to patch contigs losing # the primary reference contigs. There are ~2500 rs's in the first SNPContigLoc # that have patch, but not primary mappings. Next time do this early in the # process in case they haven't fixed they pipeline: # Look for reference assembly mappings that may have been lost due to patch mappings (?) cd /hive/data/outside/dbSNP/137/human/data # Make lists of primary and patch contig IDs, prefixed by "^" because we'll grep # for those words at the beginning of lines in the next step. zcat b137_ContigInfo.bcp.gz | g GRCh37 | g -v PATCHES \ | cut -f 1 | sed -re 's/^/^/' \ > primaryContigIds.txt zcat b137_ContigInfo.bcp.gz | g -w PATCHES \ | cut -f 1 | sed -re 's/^/^/' \ > patchContigIds.txt # Make lists of SNPs mapped to primary contigs and patch contigs. # Put contig IDs first because we're grepping to find them at the beginning of the line. zcat b137_SNPContigLoc.orig.bcp.gz | awk '{print $3, $2;}' > contigIdsAndRsIds.txt grep -wf primaryContigIds.txt contigIdsAndRsIds.txt > primaryContigsAndRsIds.txt grep -wf patchContigIds.txt contigIdsAndRsIds.txt > patchContigsAndRsIds.txt # Now trim to keep just rs IDs: awk '{print $2;}' primaryContigsAndRsIds.txt | uniq > rsIdsOnPrimary.txt awk '{print $2;}' patchContigsAndRsIds.txt | uniq > rsIdsOnPatches.txt # Compare to find rs IDs mapped to patch contigs but not to primary contigs: sort rsIdsOnPrimary.txt > rsIdsOnPrimary.alphaSort.txt sort rsIdsOnPatches.txt > rsIdsOnPatches.alphaSort.txt comm -13 rsIdsOnPrimary.alphaSort.txt rsIdsOnPatches.alphaSort.txt \ | sort -nu \ > rsIdsOnPatchesNotPrimary.txt wc -l rsIdsOnPatchesNotPrimary.txt #2566 rsIdsOnPatchesNotPrimary.txt # 8/19/13: rebuilding after fix #11544 -- many allele frequencies were combined # incorrectly due to stranded data (but not strand flag) in SNPAlleleFreq and # positive-strand-only data in SNPAlleleFreq_TGP. cd /hive/data/outside/dbSNP/137/human mkdir preAlleleFreqFix mv ucscAlleleFreq.txt.gz snp137*.bed.gz preAlleleFreqFix/ # Run with -debug to regenerate addToDbSnp script: ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra \ -continue addToDbSnp -stop addToDbSnp -debug # Now re-run the updated snpAddTGPAlleleFreq.pl command: grep snpAdd addToDbSnp.csh ~/kent/src/hg/utils/automation/snpAddTGPAlleleFreq.pl hg19snp137 \ -contigLoc=b137_SNPContigLoc > ucscAlleleFreq.txt # Reload the ucscAlleleFreq table: hgLoadSqlTab hg19snp137 ucscAlleleFreq{,.sql,.txt} >>& do.log & tail -f do.log # Redo the big join: mkdir -p `cat workingDir` ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra -continue bigJoin -stop bigJoin \ >>& do.log & tail -f do.log # Manually re-run snpNcbiToUcsc (the translate step includes fasta file concat # and indexing, which would waste a lot of time): set tmpDir = `cat /hive/data/outside/dbSNP/137/human/workingDir` cd $tmpDir echo 'select * from par' | hgsql hg19 -NB > par.bed snpNcbiToUcsc -snp132Ext -par=par.bed ucscNcbiSnp.bed /hive/data/genomes/hg19/hg19.2bit snp137 \ >>& /hive/data/outside/dbSNP/137/human/do.log & tail -f /hive/data/outside/dbSNP/137/human/do.log head snp137Errors.bed >>& /hive/data/outside/dbSNP/137/human/do.log & tail -f /hive/data/outside/dbSNP/137/human/do.log wc -l snp137* >>& /hive/data/outside/dbSNP/137/human/do.log & tail -f /hive/data/outside/dbSNP/137/human/do.log gzip *.txt *.bed *.tab cp -p * /hive/data/outside/dbSNP/137/human/ cd /hive/data/outside/dbSNP/137/human rm $tmpDir/* ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra -continue load \ >>& do.log & tail -f do.log ############################################################################# # FILTER SNP137 (DONE 8/19/13 angie) # Originally done 7/11/12; updated 9/11/12, 10/15/12, 11/9/12, 8/19/13 -- see SNP137 above # Redmine #8360 # Make several tracks that are filtered subsets of snp137: # First, filter out the multiply-aligned and/or weight >1 SNPs -> snp137Mult # Second, siphon off the common variants -> snp137Common # Third, take the (uniquely mapped, not ens to be common) variants # w/dbSNP's "clinically-assoc" flag -> snp137Flagged cd /hive/data/outside/dbSNP/137/human zcat snp137.bed.gz \ | perl -we \ '$minTotal2N = 10; \ ($multCount, $comCount, $flagCount, $miscCount) = (0,0,0,0); \ open($mult, "| gzip -c > snp137Mult.bed.gz") || die; \ open($common, "| gzip -c > snp137Common.bed.gz") || die; \ open($flagged, "| gzip -c > snp137Flagged.bed.gz") || die; \ open($misc, "| gzip -c > snp137Misc.bed.gz") || die; \ while (<>) { \ @w = split("\t"); \ if ($w[16] > 1 || $w[17] =~ /MultipleAlignments/) { \ print $mult $_; \ $multCount++; \ } else { \ my ($alleleFreqCount, $nStr, $freqStr) = ($w[20], $w[22], $w[23]); \ my @alNs = split(",", $nStr); die unless scalar(@alNs) == $alleleFreqCount; \ my @freqs = split(",", $freqStr); die unless scalar(@freqs) == $alleleFreqCount; \ my ($total2N, $maxAlleleFreq) = (0, 0); \ for (my $i = 0; $i < $alleleFreqCount; $i++) { \ $total2N += $alNs[$i]; \ $maxAlleleFreq = $freqs[$i] if ($freqs[$i] > $maxAlleleFreq); \ } \ if ($alleleFreqCount >= 2 && $total2N >= $minTotal2N && $maxAlleleFreq <= 0.99) { \ print $common $_; \ $comCount++; \ } elsif($w[24] =~ /clinically-assoc/) { \ print $flagged $_; \ $flagCount++; \ } else { \ print $misc $_; \ $miscCount++; \ } \ } \ } \ close($mult); close($common); close($flagged); close($misc); \ print "snp137Mult: $multCount\nsnp137Common: $comCount\nsnp137Flagged: $flagCount\n" . \ "leftover: $miscCount\n";' #snp137Mult: 3633662 #snp137Common: 13873636 #snp137Flagged: 42824 #leftover: 38698577 # Compare to counts from 11/9/12, before fixing allele freqs: #snp137Mult: 3633662 #snp137Common: 13894623 #snp137Flagged: 42733 #leftover: 38677681 # So 91 SNPs were left out of snp137Flagged. # Load tables foreach subset (Mult Common Flagged) hgLoadBed -tab -onServer -tmpDir=/data/tmp -allowStartEqualEnd -renameSqlTable \ hg19 snp137$subset -sqlTable=snp137.sql snp137$subset.bed.gz end ############################################################################# # SNP137 ORTHOLOGOUS ALLELES IN CHIMP, ORANG, MACAQUE (DONE 7/12/12 angie) # Chose not to redo this 9/11/12 (see SNP137 above) because this is only for SNVs # and only indel locations were changed. mkdir /hive/data/genomes/hg19/bed/snp137Ortho cd /hive/data/genomes/hg19/bed/snp137Ortho # Filter snp137 to to keep only uniquely mapped biallelic SNVs (class=single, length=1); zcat /hive/data/outside/dbSNP/137/human/snp137.bed.gz \ | awk '$18 ~ /^MultipleAlignments|SingleClassTriAllelic|SingleClassQuadAllelic/ {print $4;}' \ | sort -u \ > snp137ExcludeIds.txt wc -l snp137ExcludeIds.txt #1267059 snp137ExcludeIds.txt # Glom all human info that we need for the final table onto the # name, to sneak it through liftOver: rsId|chr|start|end|obs|ref|strand zcat /hive/data/outside/dbSNP/137/human/snp137.bed.gz \ | awk '$3-$2 == 1 && $11 == "single" {print;}' \ | grep -vFwf snp137ExcludeIds.txt \ | awk 'BEGIN{OFS="\t";} \ {print $1, $2, $3, \ $4 "|" $1 "|" $2 "|" $3 "|" $9 "|" $8 "|" $6, \ 0, $6;}' \ > snp137ForLiftOver.bed # Map coords to chimp using liftOver. mkdir run.liftOChimp cd run.liftOChimp mkdir split out splitFile ../snp137ForLiftOver.bed 10000 split/chunk cp /dev/null jobList foreach f (split/chunk*) echo liftOver $f \ /hive/data/genomes/hg19/bed/liftOver/hg19ToPanTro3.over.chain.gz \ \{check out exists out/panTro3.$f:t.bed\} out/hg19.$f:t.unmapped \ >> jobList end ssh swarm cd /hive/data/genomes/hg19/bed/snp137Ortho/run.liftOChimp para make jobList #Completed: 4597 of 4597 jobs #CPU time in finished jobs: 443120s 7385.34m 123.09h 5.13d 0.014 y #IO & Wait Time: 46429s 773.81m 12.90h 0.54d 0.001 y #Average job time: 106s 1.77m 0.03h 0.00d #Longest finished job: 261s 4.35m 0.07h 0.00d #Submission to last job: 558s 9.30m 0.15h 0.01d # Map coords to orangutan using liftOver. mkdir ../run.liftOPon cd ../run.liftOPon mkdir out ln -s ../run.liftOChimp/split . cp /dev/null jobList foreach f (split/chunk*) echo liftOver $f \ /hive/data/genomes/hg19/bed/liftOver/hg19ToPonAbe2.over.chain.gz \ \{check out exists out/ponAbe2.$f:t.bed\} out/hg19.$f:t.unmapped \ >> jobList end para make jobList #Completed: 4597 of 4597 jobs #CPU time in finished jobs: 924695s 15411.59m 256.86h 10.70d 0.029 y #IO & Wait Time: 90764s 1512.73m 25.21h 1.05d 0.003 y #Average job time: 221s 3.68m 0.06h 0.00d #Longest finished job: 580s 9.67m 0.16h 0.01d #Submission to last job: 1201s 20.02m 0.33h 0.01d # Map coords to macaque using liftOver. mkdir ../run.liftOMac cd ../run.liftOMac mkdir out ln -s ../run.liftOChimp/split . cp /dev/null jobList foreach f (split/chunk*) echo liftOver $f \ /hive/data/genomes/hg19/bed/liftOver/hg19ToRheMac2.over.chain.gz \ \{check out exists out/rheMac2.$f:t.bed\} out/hg19.$f:t.unmapped \ >> jobList end para make jobList #Completed: 4597 of 4597 jobs #CPU time in finished jobs: 1189764s 19829.40m 330.49h 13.77d 0.038 y #IO & Wait Time: 107365s 1789.42m 29.82h 1.24d 0.003 y #Average job time: 282s 4.70m 0.08h 0.00d #Longest finished job: 694s 11.57m 0.19h 0.01d #Submission to last job: 1565s 26.08m 0.43h 0.02d cd /hive/data/genomes/hg19/bed/snp137Ortho # Concatenate the chimp results, sorting by chimp pos in order to # efficiently access 2bit sequence in getOrthoSeq. The output of # that is then sorted by the glommed human info field, so that we # can use join to combine chimp and macaque results in the next step. # Ditto for macaque and orangutan. Each command pipe takes ~6 minutes: sort -k1,1 -k2n,2n run.liftOChimp/out/panTro3.chunk*.bed \ | ~/kent/src/hg/snp/snpLoad/getOrthoSeq.pl /cluster/data/panTro3/panTro3.2bit \ | sort > panTro3.orthoGlom.txt sort -k1,1 -k2n,2n run.liftOPon/out/ponAbe2.chunk*.bed \ | ~/kent/src/hg/snp/snpLoad/getOrthoSeq.pl /cluster/data/ponAbe2/ponAbe2.2bit \ | sort > ponAbe2.orthoGlom.txt sort -k1,1 -k2n,2n run.liftOMac/out/rheMac2.chunk*.bed \ | ~/kent/src/hg/snp/snpLoad/getOrthoSeq.pl /cluster/data/rheMac2/rheMac2.2bit \ | sort > rheMac2.orthoGlom.txt wc -l panTro3.orthoGlom.txt ponAbe2.orthoGlom.txt rheMac2.orthoGlom.txt # 43311070 panTro3.orthoGlom.txt # 41254270 ponAbe2.orthoGlom.txt # 37148915 rheMac2.orthoGlom.txt # Use the glommed name field as a key to join up chimp and macaque # allele data. Include glommed name from both files because if only # file 2 has a line for the key in 2.1, then 1.1 is empty. Then plop # in the orthoGlom fields from each file, which are in the same order # as the chimp and macaque columns of snp137OrthoPanTro2RheMac2. join -o '1.1 2.1 1.2 1.3 1.4 1.5 1.6 2.2 2.3 2.4 2.5 2.6' \ -a 1 -a 2 -e '?' \ panTro3.orthoGlom.txt ponAbe2.orthoGlom.txt \ | awk '{if ($1 != "?") { print $1, $3,$4,$5,$6,$7,$8,$9,$10,$11,$12; } \ else { print $2, $3,$4,$5,$6,$7,$8,$9,$10,$11,$12; }}' \ > tmp.txt join -o '1.1 2.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 1.10 1.11 2.2 2.3 2.4 2.5 2.6' \ -a 1 -a 2 -e '?' \ tmp.txt rheMac2.orthoGlom.txt \ | perl -wpe 'chomp; \ ($glom12, $glom3, $o1Chr, $o1Start, $o1End, $o1Al, $o1Strand, \ $o2Chr, $o2Start, $o2End, $o2Al, $o2Strand, \ $o3Chr, $o3Start, $o3End, $o3Al, $o3Strand) = split; \ $glomKey = ($glom12 ne "?") ? $glom12 : $glom3; \ ($rsId, $hChr, $hStart, $hEnd, $hObs, $hAl, $hStrand) = \ split(/\|/, $glomKey); \ $o1Start =~ s/^\?$/0/; $o2Start =~ s/^\?$/0/; $o3Start =~ s/^\?$/0/; \ $o1End =~ s/^\?$/0/; $o2End =~ s/^\?$/0/; $o3End =~ s/^\?$/0/; \ print join("\t", $hChr, $hStart, $hEnd, $rsId, $hObs, $hAl, $hStrand, \ $o1Chr, $o1Start, $o1End, $o1Al, $o1Strand, \ $o2Chr, $o2Start, $o2End, $o2Al, $o2Strand, \ $o3Chr, $o3Start, $o3End, $o3Al, $o3Strand) . "\n"; \ s/^.*$//;' \ | sort -k1,1 -k2n,2n > snp137OrthoPt3Pa2Rm2.bed hgLoadBed -tab -onServer -tmpDir=/data/tmp -renameSqlTable \ -sqlTable=$HOME/kent/src/hg/lib/snpOrthoPanPonRhe.sql \ hg19 snp137OrthoPt3Pa2Rm2 snp137OrthoPt3Pa2Rm2.bed #Read 44774198 elements of size 22 from snp137OrthoPt3Pa2Rm2.bed # Cleanup: rm -r run*/split tmp.txt *.orthoGlom.txt snp137Simple.bed gzip snp137ExcludeIds.txt snp137ForLiftOver.bed & ############################################################################ # DBSNP CODING ANNOTATIONS (137) (DONE 11/10/12 angie) # Originally done 7/11/12 but code 43 (stop-loss) was omitted, and filtering out # NULL frame caused us to lose 45 (cds-indel) too. # Updated 7/30/12 with corrections for that issue. # Updated 9/11/12 with extensive corrections from dbSNP (see SNP137 above, #8360 note 36) # Updated 10/15/12 w/more corrections (see SNP137 above, #8360 note 42) # Updated 11/9/12 w/more corrections (see SNP137 above, #8360 note 45) cd /hive/data/outside/dbSNP/137/human # ncbiFuncAnnotations.txt has NCBI coords: 0-based, fully closed. # For anything except an insertion (0 bases between flanks), # we need to add 1 to the end coord. For an insertion, we need # to add 1 to the start coord. Make a hash of the insertion IDs, # then look up each ID in ncbiFuncAnnotations.txt to tell which # transform to apply. # Note: sort -u with the keys below is too restrictive -- we need full line uniq. zcat ncbiFuncAnnotations.txt.gz \ | perl -we 'open($IDS, "zcat ncbiFuncInsertions.ctg.bed.gz |") || die "ids: $!"; \ while (<$IDS>) { chomp; $ids{$_} = 1; } \ close($IDS); \ %coding = (2=>1, 3=>1, 4=>1, 8=>1, 9=>1, 41=>1, 42=>1, 43=>1, 44=>1, 45=>1); \ while (<>) { \ chomp; @w = split("\t"); # id, ctg, start, end, ... \ next unless $coding{$w[5]}; \ $bed4 = join("\t", $w[1], $w[2], $w[3], $w[0]); \ if (exists $ids{$bed4} && $w[3] == $w[2]+1) { \ $w[2]++; # 2-base insertions: increment start coord \ } else { \ $w[3]++; # increment end coord to get half-open \ } \ print join("\t", @w) . "\n"; \ }' \ | sort -k1n,1n -k2,2 -k3n,3n -k5,5 -k6n,6n \ | uniq \ > ncbiCodingAnnotations.txt wc -l ncbiCodingAnnotations.txt #3873975 ncbiCodingAnnotations.txt # How many & what kinds of function types? cut -f 6 ncbiCodingAnnotations.txt \ | sort -n | uniq -c # 681327 3 (coding-synon) #1917237 8 (cds-reference -- ignored) # 35591 41 (nonsense) #1190533 42 (missense) # 1153 43 (stop-loss) # 41695 44 (frameshift) # 6439 45 (cds-indel) # In b137, the functional annotations include non-coding (frame = NULL), # which we'll exclude here because this is supposed to be just coding stuff... # probably need to update how we show dbSNP's func annos anyway, e.g. # it is a shame that we toss out codon number and transcript offset. # Gather up multiple annotation lines into one line per {snp, gene, frame}: perl -e 'while (<>) { chomp; \ my ($rsId, $ctg, $s, $e, $txId, $fxn, $frm, $nt, $aa, $codon) = split("\t"); \ next if ($fxn == 8 && ($frm eq "NULL" && $aa eq "NULL" && $codon eq "NULL")); \ if (defined $lastRs && \ ($lastRs != $rsId || $lastCtg ne $ctg || $lastS != $s || \ $lastTx ne $txId || $lastFrm ne $frm)) { \ if (defined $refRow) { \ $fxns = "$refRow->[0],$fxns"; $nts = "$refRow->[1],$nts"; \ $aas = "$refRow->[2],$aas"; $codons = "$refRow->[3],$codons"; \ } \ $lineOut = "$lastCtg\t$lastS\t$lastE\trs$lastRs\t$lastTx\t$lastFrm\t" . \ "$count\t$fxns\t$nts\t$codons\t$aas\n"; \ $lineOut =~ s@NULL@n/a@g; \ print $lineOut; \ $refRow = undef; @rows = (); ($count, $fxns, $nts, $codons, $aas) = (); \ } \ ($lastRs, $lastCtg, $lastS, $lastE, $lastTx, $lastFrm) = \ ($rsId, $ctg, $s, $e, $txId, $frm); \ $count++; \ if ($fxn == 8) { \ $refRow = [$fxn, $nt, $aa, $codon]; \ } else { \ $fxns .= "$fxn,"; $nts .= "$nt,"; $aas .= "$aa,"; $codons .= "$codon,"; \ } \ } \ if (defined $refRow) { \ $fxns = "$refRow->[0],$fxns"; $nts = "$refRow->[1],$nts"; \ $aas = "$refRow->[2],$aas"; $codons = "$refRow->[3],$codons"; \ } \ $lineOut = "$lastCtg\t$lastS\t$lastE\trs$lastRs\t$lastTx\t$lastFrm\t" . \ "$count\t$fxns\t$nts\t$codons\t$aas\n"; \ $lineOut =~ s@NULL@n/a@g; \ print $lineOut;' \ ncbiCodingAnnotations.txt \ | liftUp snp137CodingDbSnp.bed /hive/data/genomes/hg19/jkStuff/liftContigs.lft warn stdin hgLoadBed hg19 snp137CodingDbSnp -sqlTable=$HOME/kent/src/hg/lib/snp125Coding.sql \ -renameSqlTable -tab -notItemRgb -allowStartEqualEnd \ snp137CodingDbSnp.bed #Read 1922594 elements of size 11 from snp137CodingDbSnp.bed ############################################################################ # SNPMASKED SEQUENCE FOR SNP137 (DONE 7/12/12 angie) # Chose not to redo this 9/11/12 (see SNP137 above) because this is only for SNVs # and only indel locations were changed. mkdir /hive/data/genomes/hg19/snp137Mask cd /hive/data/genomes/hg19/snp137Mask # Identify rsIds with various problems -- we will exclude those. zcat /hive/data/outside/dbSNP/137/human/snp137.bed.gz \ | awk '$18 ~ /MultipleAlignments|ObservedTooLong|ObservedWrongFormat|ObservedMismatch|MixedObserved/ {print $4;}' \ | sort -u \ > snp137ExcludeRsIds.txt zcat /hive/data/outside/dbSNP/137/human/snp137.bed.gz \ | grep -vFwf snp137ExcludeRsIds.txt \ > snp137Cleaned.bed wc -l snp137Cleaned.bed #52047160 snp137Cleaned.bed # Substitutions: mkdir substitutions snpMaskSingle snp137Cleaned.bed /hive/data/genomes/hg19/hg19.2bit stdout diffObserved.txt \ | faSplit byname stdin substitutions/ #Masked 46091199 snps in 46090845 out of 3131225094 genomic bases #/hive/data/genomes/hg19/hg19.2bit has 3137161264 total bases, but the total number of bases in sequences for which we masked snps is 3131225094 (difference is 5936170) # Check that 5936170 is the total #bases in sequences with nothing in snp137Cleaned: grep -Fw single snp137Cleaned.bed | cut -f 1 | uniq > /data/tmp/1 grep -vwf /data/tmp/1 ../chrom.sizes \ | awk 'BEGIN {TOTAL = 0;} {TOTAL += $2;} END {printf "%d\n", TOTAL;}' #5936170 # warnings about differing observed strings at same base position: wc -l diffObserved.txt #448 diffObserved.txt #TODO: send list to dbSNP. # Make sure that sizes are identical, first diffs are normal -> IUPAC, # and first diffs' case is preserved: foreach f (substitutions/chr*.fa) faCmp -softMask $f ../[1-9UMXY]*/$f:t |& grep -v "that differ" end #chr1 in substitutions/chr1.fa differs from chr1 at ../1/chr1.fa at base 10176 (m != a) #chr10 in substitutions/chr10.fa differs from chr10 at ../10/chr10.fa at base 60522 (K != T) #... #(output OK -- ambiguous bases replacing [agct] at SNP positions) foreach f (substitutions/chr*.fa) echo $f:t:r mv $f $f:r.subst.fa gzip $f:r.subst.fa & end # Insertions & deletions not done. To date we have only offered substs for download. # If there is user demand, use template from snp131 above. # Clean up and prepare for download: gzip snp137Cleaned.bed & foreach d (substitutions) pushd $d md5sum *.gz > md5sum.txt cp /hive/data/genomes/hg19/snp135Mask/$d/README.txt . popd end # Edit the README.txt. # Create download links on hgwdev. mkdir /usr/local/apache/htdocs-hgdownload/goldenPath/hg19/snp137Mask ln -s /hive/data/genomes/hg19/snp137Mask/substitutions/* \ /usr/local/apache/htdocs-hgdownload/goldenPath/hg19/snp137Mask/ ######################################################################### # LASTZ Macaca Mulatta RheMac3 (DONE - 2012-03-15 - Chin) mkdir /hive/data/genomes/hg19/bed/lastzRheMac3.2012-03-15 cd /hive/data/genomes/hg19/bed/lastzRheMac3.2012-03-15 cat << '_EOF_' > DEF # human vs macaca mulatta BLASTZ=lastz # maximum M allowed with lastz is only 254 BLASTZ_M=254 BLASTZ_Q=/scratch/data/blastz/human_chimp.v2.q # and place those items here BLASTZ_O=600 BLASTZ_E=150 # other parameters from panTro2 vs hg18 lastz on advice from Webb BLASTZ_K=4500 BLASTZ_Y=15000 BLASTZ_T=2 # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 SEQ1_IN_CONTIGS=0 # QUERY: Macaca Mulatta RheMac3 SEQ2_DIR=/scratch/data/rheMac3/rheMac3.2bit SEQ2_LEN=/scratch/data/rheMac3/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_IN_CONTIGS=0 BASE=/hive/data/genomes/hg19/bed/lastzRheMac3.2012-03-15 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -syntenicNet \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ > do.log 2>&1 & # real 322m50.822s cat fb.hg19.chainRheMac3Link.txt # 2400694407 bases of 2897316137 (82.859%) in intersection cd /hive/data/genomes/hg19/bed ln -s lastzRheMac3.2012-03-15 lastz.rheMac3 # running the swap - DONE - 20i12-03-16 mkdir /hive/data/genomes/rheMac3/bed/blastz.hg19.swap cd /hive/data/genomes/rheMac3/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzRheMac3.2012-03-15/DEF \ -swap \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ > swap.log 2>&1 & # 58m38.594s cat fb.rheMac3.chainHg19Link.txt # 2313806886 bases of 2646704109 (87.422%) in intersection cd /hive/data/genomes/rheMac3/bed ln -s blastz.hg19.swap lastz.hg19 ############################################################################ # UPDATE COSMIC TRACK - v60 (DONE 2012-07-23 larrym) ~/kent/src/hg/utils/automation/loadCosmic.pl -dryRun hg19 ftp://ftp.sanger.ac.uk/pub/CGP/cosmic/data_export/Request_based_exports/UCSCMutExp_v60_190712.csv.gz New length: 166164 Old length: 136638 Percent bed overlap with previous version: 100.00% Number of deleted IDs: 4 Number of added IDs: 29530 ############################################################################ # UPDATE COSMIC TRACK - v61 (DONE - 2012-11-09 - Hiram) time ~/kent/src/hg/utils/automation/loadCosmic.pl -dryRun hg19 ftp://ftp.sanger.ac.uk/pub/CGP/cosmic/data_export/Request_based_exports/UCSCMutExp_v61_260912.csv.gz # real 1m10.070s New length: 220318 Old length: 166164 Percent bed overlap with previous version: 100.00% Number of deleted IDs: 28 Number of added IDs: 54182 time ~/kent/src/hg/utils/automation/loadCosmic.pl hg19 ftp://ftp.sanger.ac.uk/pub/CGP/cosmic/data_export/Request_based_exports/UCSCMutExp_v61_260912.csv.gz # real 0m8.251so # Loading COSMIC v61 # New length: 220318 # Old length: 166164 # Percent bed overlap with previous version: 100.00% # Number of deleted IDs: 28 # Number of added IDs: 54182 # Scanning through 1 files # Reading cosmic.bed # Read 220318 elements of size 4 from cosmic.bed # Sorted # Creating table definition for cosmic # Saving bed.tab # Loading hg19 ############################################################################ # UPDATE COSMIC TRACK - v62 (DONE - 2012-12-18 - Hiram) # take a look at: # ftp://ftp.sanger.ac.uk/pub/CGP/cosmic/data_export/Request_based_exports/ # to see what the new version file name is, then: time ~/kent/src/hg/utils/automation/loadCosmic.pl -dryRun hg19 ftp://ftp.sanger.ac.uk/pub/CGP/cosmic/data_export/Request_based_exports/UCSCMutExp_v62_291112.csv.gz # New length: 536287 # Old length: 220318 # Percent bed overlap with previous version: 100.00% # Number of deleted IDs: 77 # Number of added IDs: 316046 # real 0m23.191s # that created files in: /hive/data/genomes/hg19/bed/cosmic/v62/ # then: cd /hive/data/genomes/hg19/bed/cosmic/v62/ time ~/kent/src/hg/utils/automation/loadCosmic.pl hg19 \ ftp://ftp.sanger.ac.uk/pub/CGP/cosmic/data_export/Request_based_exports/UCSCMutExp_v62_291112.csv.gz \ > do.log 2>&1 # real 0m19.404s # Read 536287 elements of size 4 from cosmic.bed ############################################################################ # UPDATE COSMIC TRACK - v63 (DONE - 2013-02-19 - Hiram) # take a look at: # ftp://ftp.sanger.ac.uk/pub/CGP/cosmic/data_export/Request_based_exports/ # to see what the new version file name is, then: cd /hive/data/genomes/hg19/bed/cosmic time ~/kent/src/hg/utils/automation/loadCosmic.pl -dryRun hg19 ftp://ftp.sanger.ac.uk/pub/CGP/cosmic/data_export/Request_based_exports/UCSCMutExp_v63_300113.csv.gz # New length: 616299 # Old length: 536287 # Percent bed overlap with previous version: 100.00% # Number of deleted IDs: 643 # Number of added IDs: 80655 # real 0m32.084s # that created files in: /hive/data/genomes/hg19/bed/cosmic/v63/ # then: cd /hive/data/genomes/hg19/bed/cosmic/v63/ time ~/kent/src/hg/utils/automation/loadCosmic.pl hg19 \ ftp://ftp.sanger.ac.uk/pub/CGP/cosmic/data_export/Request_based_exports/UCSCMutExp_v63_300113.csv.gz \ > do.log 2>&1 # real 0m24.619s # Read 616299 elements of size 4 from cosmic.bed ############################################################################ # lastz Medium Ground Finch geoFor1 (DONE - 2012-07-29 - Hiram) # establish a screen to control this job with a name to indicate what it is screen -S hg19 mkdir /hive/data/genomes/hg19/bed/lastzGeoFor1.2012-07-29 cd /hive/data/genomes/hg19/bed/lastzGeoFor1.2012-07-29 cat << '_EOF_' > DEF # Human vs. medium ground finch BLASTZ=/cluster/bin/penn/lastz-distrib-1.03.02/bin/lastz BLASTZ_Y=3400 BLASTZ_L=10000 BLASTZ_K=2200 BLASTZ_Q=/scratch/data/blastz/HoxD55.q # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=20000000 SEQ1_LAP=10000 # QUERY: Medium Ground Finch GeoFor1 SEQ2_DIR=/hive/data/genomes/geoFor1/geoFor1.2bit SEQ2_LEN=/hive/data/genomes/geoFor1/chrom.sizes SEQ2_CHUNK=10000000 SEQ2_LAP=0 SEQ2_LIMIT=60 BASE=/hive/data/genomes/hg19/bed/lastzGeoFor1.2012-07-29 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # adjust the SEQ2_LIMIT with -stop=partition to get a reasonable # number of jobs, 50,000 to something under 100,000 # when not present, SEQ2_LIMIT is a default 100 time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -chainMinScore=5000 -chainLinearGap=loose > do.log 2>&1 & # real 238m6.827s cat fb.hg19.chainGeoFor1Link.txt # 101503916 bases of 2897316137 (3.503%) in intersection # set sym link to indicate this is the lastz for this genome: cd /hive/data/genomes/hg19/bed ln -s lastzGeoFor1.2012-07-29 lastz.geoFor1 # and for the swap mkdir /hive/data/genomes/geoFor1/bed/blastz.hg19.swap cd /hive/data/genomes/geoFor1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzGeoFor1.2012-07-29/DEF \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -swap -chainMinScore=5000 -chainLinearGap=loose > swap.log 2>&1 & # real 9m10.240s cat fb.geoFor1.chainHg19Link.txt # 88547518 bases of 1041286029 (8.504%) in intersection # set sym link to indicate this is the lastz for this genome: cd /hive/data/genomes/geoFor1/bed ln -s blastz.hg19.swap lastz.hg19 ####################################################################### # DENISOVA HIGH-COVERAGE VARIANTS #8886 (DONE 9/6/12 angie) mkdir /hive/data/genomes/hg19/bed/denisova cd /hive/data/genomes/hg19/bed/denisova # Get tabix-compressed+indexed VCF files for Denisova and 11 modern humans: wget ftp://ucsc_paper_data:PHZuezz7@cdna.eva.mpg.de/hg19_1000g/\* # Make /gbdb links and bbi tables, prefix dhcVcf for Denisova High-Coverage VCF: foreach f (`pwd`/*.vcf.gz{,.tbi}) ln -s $f /gbdb/hg19/bbi/ end foreach f (*.vcf.gz) set track = dhcVcf$f:r:r echo $track hgBbiDbLink hg19 $track /gbdb/hg19/bbi/$f end #dhcVcfDNK02 #dhcVcfDenisovaPinky #dhcVcfHGDP00456 #dhcVcfHGDP00521 #dhcVcfHGDP00542 #dhcVcfHGDP00665 #dhcVcfHGDP00778 #dhcVcfHGDP00927 #dhcVcfHGDP00998 #dhcVcfHGDP01029 #dhcVcfHGDP01284 #dhcVcfHGDP01307 # Add Denisova track group section: hgsql hg19 -e "insert into grp values('denisova', 'Denisova Assembly and Analysis', 6.6, 1)" ######################################################################### # DENISOVA HIGH-COVERAGE SEQUENCE READS #8886 (DONE 9/10/12) cd /hive/data/genomes/hg19/bed/denisova wget http://cdna.eva.mpg.de/denisova/alignments/T_hg19_1000g.bam wget http://cdna.eva.mpg.de/denisova/alignments/T_hg19_1000g.bam.bai # Tweak sequence names? e.g. SN:GL000193.1 -> chr4_gl000193_random ? ln -s `pwd`/T_hg19_1000g.bam{,.bai} /gbdb/hg19/bbi/ hgBbiDbLink hg19 dhcBamDenisova /gbdb/hg19/bbi/T_hg19_1000g.bam ######################################################################### # DENISOVA HIGH-COVERAGE ANALYSIS #8886 (DONE 10/2/12 angie) mkdir /hive/data/genomes/hg19/bed/denisova cd /hive/data/genomes/hg19/bed/denisova # Fetched original .zip file on 9/6/12: wget --no-check-certificate https://bioinf.eva.mpg.de/download/HighCoverageDenisovaGenome/Denisova_catalog.zip unzip Denisova_catalog.zip # cd /hive/data/genomes/hg19/bed/denisova/Denisova_zip/Denisova-derived_Human-ancestral/ # cd /hive/data/genomes/hg19/bed/denisova/Denisova_zip/GAD_Denisova-state/ # cd /hive/data/genomes/hg19/bed/denisova/Denisova_zip/GWAS_Denisova-state/ # cd /hive/data/genomes/hg19/bed/denisova/Denisova_zip/Human-derived_Denisova-ancestral/ # cd /hive/data/genomes/hg19/bed/denisova/Denisova_zip/Human-derived_Denisova-state/ # 9/17/12 update: no zip, dir name change, and wget -r apparently doesn't work with # https --no-check-cert, so just fetch updates alongside original files: mv Denisova_zip Denisova_zip_orig cp -p Denisiva_zip_orig DenHC_catalog cd DenHC_catalog/Human-derived_Denisova-state wget --no-check-certificate https://bioinf.eva.mpg.de/download/HighCoverageDenisovaGenome/DenHC_catalog/Human-derived_Denisova-state/Genome_CAT.tsv.gz # Good, no incomplete lines now. But what we really want to make a track for is # Human-derived_Denisova-ancestral... cd /hive/data/genomes/hg19/bed/denisova/DenHC_catalog/Human-derived_Denisova-ancestral # There are two subdirs, InDels and SNCs, and each subdir has a whole bunch of files # which we can make into BED4+ subtracks of a composite with views. cat > trackify.pl <<'_EOF_' #!/usr/bin/env perl use warnings; use strict; my $isSNC = ($ARGV[0] =~ /SNC/); while (<>) { next if (/^#/); chomp; my @w = split("\t"); my $chromEnd = $w[2]; $w[2]--; # chromStart -> 0-based # Delete extra column (Grantham score) that appears only in nonsynon files: splice(@w, 31, 1) if (scalar(@w) > 32); # Measure allele lengths to determine whether this is an indel, and whether it's # necessary to trim an identical first base from each allele: my $humanFirstBase = substr($w[15], 0, 1); my $humanLen = length($w[15]); my $diffLengths = 0; my $sameFirstBase = 1; foreach my $i (16..19) { next if ($w[$i] eq "N/A"); my $firstBase = substr($w[$i], 0, 1); my $len = length($w[$i]); $diffLengths = 1 if ($len != $humanLen); $sameFirstBase = 0 if ($firstBase ne $humanFirstBase); } if ($sameFirstBase) { foreach my $i (15..19) { next if ($w[$i] eq "N/A"); $w[$i] =~ s/^$humanFirstBase// || die; $w[$i] =~ s/^$/-/; # Some alleles have trailing "-", some don't; use "-" for deletion } $w[2]++; # adjust chromStart $humanLen--; } if ($diffLengths) { $chromEnd = $w[2] + $humanLen; } if ($isSNC) { # "-" is used as N/A in SNCs/* -- tweak to N/A for consistency w/InDels files foreach my $i (16..19) { $w[$i] = "N/A" if ($w[$i] eq "-"); } } my $name = "$w[15]/$w[16]"; $name .= ":$w[21]" if (length($w[21]) > 1); # Add spaces to Extra for readability: $w[14] =~ s/;/; /g; print join("\t", "chr$w[1]", $w[2], $chromEnd, $name, # BED 4 $w[5], $w[4], $w[14], # Feature, Gene, Extra $w[7], $w[8], $w[9], $w[10], $w[11], $w[12], # Consequence, coding effect $w[15], $w[16], $w[17], $w[18], $w[19], # Human, Den, etc. alleles $w[20], $w[21], $w[22], $w[23], $w[31]) . "\n"; # D zyg, dbSNP, 1000g freq, flag,strnd } '_EOF_' # << emacs chmod a+x trackify.pl cat > tsvToBedAndTrackDb.pl << '_EOF_' #!/usr/bin/env perl # Parse a .tsv file path into descriptive components to use for track name and trackDb subGroups; # Call trackify.pl and if the resulting bed file is non-empty, print out subtrack .ra entry. use warnings; use strict; my $tsvPath = $ARGV[0]; chomp $tsvPath; $tsvPath =~ m/^(InDels|SNCs)\/Genome_VEP(|(_genic(_ccds)?_(3utr|5utr|nonsyn_grantham|frameshift_coding|inframe_nonsyn|splice|syn))|(_regul(_motif)?(_highinfo)?))_formatted_(fixed|highfreq)/ || die; my ($vType, $ccds, $gType, $reg, $regMo, $regHi, $fType) = ($1, $4 || "", $5 || "", $6 || "", $7 || "", $8 || "", $9 || ""); # Reformat file name components: _ to inital uppercase, etc. $vType =~ s/s$//; $ccds =~ s/_(\w)/\u$1/g; $gType =~ s/_(\w)/\u$1/g; $gType =~ s/^(\w)/\u$1/; $gType =~ s/Grantham//; $gType =~ s/^(\d)utr/Utr$1/; $gType =~ s/nframe/nFrame/; $fType =~ s/^(\w)/\u$1/; $fType =~ s/ighfreq/ighFreq/; my $fShort = ($fType eq "Fixed") ? "Fxd" : "HiF"; my $shortLabel = ""; my $longLabel = "Modern Human Derived ($fType), Denisova Ancestral: "; my $color = "0,0,0"; my ($subset, $view); if ($gType) { $subset = "$ccds$gType"; if ($gType eq "Nonsyn" || $gType eq "Splice" || $gType eq "FrameshiftCoding" || $gType eq "InFrameNonsyn") { $color = "200,0,0"; } elsif ($gType =~ /^Utr/) { $color = "0,0,200"; } elsif ($gType eq "Syn") { $color = "0,200,0"; } my ($gShort, $gLong) = ($gType, $gType); $gShort =~ s/FrameshiftCoding/FrShft/; $gShort =~ s/InFrameNonsyn/InFrNS/; $gLong =~ s/([a-z])([A-Z])/$1 $2/g; $gLong =~ s/Utr(\d)/$1\' UTR/; $gLong =~ s/In Frame/In-frame/; $gLong =~ s/Nonsyn/Non-synonymous/; if ($ccds) { $gShort = "CC $gShort"; $gLong = "CCDS $gLong"; } $shortLabel .= "$gShort $fShort"; $longLabel .= "$gLong"; $view = $ccds ? $ccds : "Ens"; } elsif ($reg) { $color = "230,130,0"; my ($rShort, $rLong); if ($regHi) { $subset = "RegMotifHighInfo"; ($rShort, $rLong) = ("RgMoHiInf", "Reg. Motif at High Inf Pos in TFBP"); } elsif ($regMo) { $subset = "RegMotif"; ($rShort, $rLong) = ("RegMotif", "Regulatory Motif"); } else { $subset = "Reg"; ($rShort, $rLong) = ("RegRegion", "Regulatory Region"); } $shortLabel .= "$rShort $fShort"; $longLabel .= "$rLong"; $view = "Reg"; } else { $subset = "All"; $shortLabel .= "$fShort"; $longLabel .= "All "; $view = "All"; } my $track = "dhcHumDerDenAnc$vType$subset$fType"; my $cmd = "./trackify.pl $tsvPath > $track.bed"; system($cmd) == 0 || die "ERROR from \"$cmd\"\n\n"; if (-s "$track.bed") { my $subsetTweaked = $subset; $subsetTweaked =~ s/Syn/ZLast_Syn/; $subsetTweaked =~ s/^RegMotifH/DA_RegMotifH/; $subsetTweaked =~ s/^RegM/DB_RegM/; $subsetTweaked =~ s/^Reg/DC_Reg/; my $isOff = ""; $isOff = " off" if ($subset =~ /Syn/ || $subset eq "Reg"); # We will combine SNCs and InDels later; print only one set of trackDb descriptions: if ($vType eq "InDel" || $subset =~ /Nonsyn/ || $subset =~ /Syn/) { print " track dhcHumDerDenAnc$subset$fType\n"; print " parent dhcHumDerDenAnc$view$isOff\n"; print " subGroups view=$view subset=$subsetTweaked freq=$fType\n"; print " shortLabel $shortLabel\n"; print " longLabel $longLabel\n"; print " color $color\n\n"; } if ($fType eq "Fixed") { # Fernando Racimo's request: separate out Fixed (in 1000Genomes) locations that are in dbSNP. $cmd = "egrep -vw 'rs[0-9]+' $track.bed > tmp$track.bed"; system($cmd) == 0 || die "ERROR from \"$cmd\"\n\n"; $cmd = "egrep -w 'rs[0-9]+' $track.bed > ${track}DbSnp.bed"; system($cmd); # grep returns nonzero if it can't find anything, but that's OK here. $cmd = "mv tmp$track.bed $track.bed"; system($cmd) == 0 || die "ERROR from \"$cmd\"\n\n"; if (-s "${track}DbSnp.bed" && ($vType eq "InDel" || $subset =~ /Nonsyn/ || $subset =~ /Syn/ || $subset eq "RegMotifHighInfo")) { $shortLabel =~ s/Fxd/FxS/; $longLabel =~ s/Fixed/Fixed+dbSNP/; print " track dhcHumDerDenAnc$subset${fType}DbSnp\n"; print " parent dhcHumDerDenAnc$view$isOff\n"; print " subGroups view=$view subset=$subsetTweaked freq=${fType}DbSnp\n"; print " shortLabel $shortLabel\n"; print " longLabel $longLabel\n"; print " color $color\n\n"; } } } '_EOF_' # << emacs chmod a+x tsvToBedAndTrackDb.pl foreach f (*/Genome_VEP_*.tsv) ./tsvToBedAndTrackDb.pl $f if ($status != 0) break end # Check input and output file counts: ls -1 */G*_highfreq.tsv | wc -l #27 ls -1 *HighFreq.bed | wc -l #27 ls -1 */G*_fixed.tsv | wc -l #27 ls -1 *Fixed.bed | wc -l #27 ls -1 *FixedDbSnp.bed | wc -l #27 # 54 inputs, 81 outputs because Fixed was split into Fixed and FixedDbSnp # Combine SNCs and InDels: foreach indel (dhcHumDerDenAncInDel*.bed) set snc = `echo $indel | sed -e 's/InDel/SNC/;'` set both = `echo $indel | sed -e 's/InDel//;'` if (! -e $snc) then mv $indel $both endif end foreach snc (dhcHumDerDenAncSNC*.bed) set indel = `echo $snc | sed -e 's/SNC/InDel/;'` set both = `echo $snc | sed -e 's/SNC//;'` if (-e $indel) then sort -k1,1 -k2n,2n $snc $indel > $both rm $snc $indel else mv $snc $both endif end # bedToBigBed: foreach f (dhcHumDerDenAnc*.bed) if (-s $f) then echo $f bedToBigBed -verbose=0 -tab -type=bed4+19 -as=$HOME/kent/src/hg/lib/dhcHumDerDenAnc.as \ $f /hive/data/genomes/hg19/chrom.sizes $f:r.bb if ($status != 0) break else echo "Skipping $f (zero size)" endif end #Skipping dhcHumDerDenAncCcdsInFrameNonsynFixedDbSnp.bed (zero size) #Skipping dhcHumDerDenAncCcdsInFrameNonsynHighFreq.bed (zero size) #Skipping dhcHumDerDenAncInFrameNonsynFixedDbSnp.bed (zero size) #Skipping dhcHumDerDenAncInFrameNonsynHighFreq.bed (zero size) # Check bigBed file count: ls -1 *.bed | wc -l #54 ls -1 *.bb | wc -l #50 # We skipped 4 empty bed files, so that's OK. # Install in /gbdb and load up. mkdir /gbdb/hg19/dhcHumDerDenAnc ln -s `pwd`/dhcHumDerDenAnc*.bb /gbdb/hg19/dhcHumDerDenAnc/ foreach f (dhcHumDerDenAnc*.bb) hgBbiDbLink hg19 $f:r /gbdb/hg19/dhcHumDerDenAnc/$f end ######################################################################### # recip best for mm10 (DONE - 2012-09-14 - Hiram) # see also: redmine issue 9089 cd /hive/data/genomes/hg19/bed/lastzMm10.2012-03-07 time doRecipBest.pl -buildDir=`pwd` hg19 mm10 > rbest.log 2>&1 # real 157m16.369s ######################################################################### # NCBI patch 10 (DONE - 2012-09-26 - Hiram) mkdir /hive/data/genomes/hg19/bed/additionalSequence/patch10 cd /hive/data/genomes/hg19/bed/additionalSequence/patch10 rsync -a -P rsync://ftp.ncbi.nlm.nih.gov/genbank/genomes/Eukaryotes/vertebrates_mammals/Homo_sapiens/GRCh37.p10/ ./ # the scripts from patch9 were modified slightly to update and fix some # of the new names in this patch10 cp ../patch9/gatherNames.pl . ./gatherNames.pl . > ucscNames.patch10.txt # examine the names for sanity: awk '{print $NF}' ucscNames.patch10.txt | sort # and they should not be longer than 31 characters: awk '{print $NF}' ucscNames.patch10.txt | sort | awk '{print length($0)}' \ | sort -n | tail cp -p ../patch9/mkTables.pl . ./mkTables.pl patches.chrom.sizes ucscNames.patch10.txt PATCHES/alt_scaffolds/AGP/alt.scaf.agp.gz # output to stdout is the contents of alt.scaf.agp.gz # constructs files: ctgPos.txt chromInfo.txt gold.txt and gap.txt cp -p ../patch9/mkCtgPos2.pl . ./mkCtgPos2.pl ucscNames.patch10.txt patches.chrom.sizes > ctgPos2.txt cp -p ../patch9/mkHapLocate.pl . ./mkHapLocate.pl ctgPos.txt \ PATCHES/alt_scaffolds/alt_scaffold_placement.txt \ > haplotypeLocations.bed cp -p haplotypeLocations.bed altSequence.bed ln -s ../patch2/before.patch2.hapLoc.bed hg19.hapLoc.bed awk '{printf "%s\t%d\t%d\t%s\t500\t+\t%d\t%d\t32,32,190\n", $2,$3,$4,$5,$3,$4}' \ hg19.hapLoc.bed >> altSequence.bed # a new script for patch10 cp -p ../patch9/mkFasta.pl . ./mkFasta.pl ucscNames.patch10.txt > hg19.patch10.fa # the build of hg19Patch10 can be seen in hg19Patch10.txt egrep -v "32,32,190" altSequence.bed \ | awk '{printf "%s\t%d\t%d\t%s\t%d\t%s\n", $1,$2,$3,$4,$5,$6}' \ > altSeqPatchesP10.tab egrep "32,32,190" altSequence.bed \ | awk '{printf "%s\t%d\t%d\t%s\t%d\t%s\n", $1,$2,$3,$4,$5,$6}' \ | grep -v "^chrM_rCRS" > altSeqHaplotypesP10.tab # verify only one lost wc -l altSeqPatchesP10.tab altSeqHaplotypesP10.tab # 112 altSeqPatchesP10.tab # 80 altSeqHaplotypesP10.tab # 192 total wc -l altSequence.bed # 193 altSequence.bed hgLoadBed hg19 altSeqHaplotypesP10 altSeqHaplotypesP10.tab # Read 80 elements of size 6 from altSeqHaplotypesP10.tab hgLoadBed hg19 altSeqPatchesP10 altSeqPatchesP10.tab # Read 112 elements of size 6 from altSeqPatchesP10.tab # these tables are part of human/hg19/altSeqComposite10.ra # Check the chrom coverage for the altSeqComposite10.ra listing: cut -f1 altSequence.bed | sort -u | xargs echo # chr1 chr10 chr11 chr12 chr13 chr15 chr16 chr17 chr18 chr19 chr2 chr20 chr21 chr22 chr3 chr4 chr5 chr6 chr7 chr8 chr9 chrM chrM_rCRS chrX ############################################################################## # lastz Lamprey petMar2 (DONE - 2012-10-17 - Hiram) # establish a screen to control this job with a name to indicate what it is screen -S petMar2 mkdir /hive/data/genomes/hg19/bed/lastzPetMar2.2012-10-17 cd /hive/data/genomes/hg19/bed/lastzPetMar2.2012-10-17 cat << '_EOF_' > DEF # Human vs. Lamprey BLASTZ=/cluster/bin/penn/lastz-distrib-1.03.02/bin/lastz BLASTZ_Y=3400 BLASTZ_L=6000 BLASTZ_K=2200 BLASTZ_M=50 BLASTZ_Q=/scratch/data/blastz/HoxD55.q # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=20000000 SEQ1_LAP=10000 # QUERY: Lamprey PetMar2 SEQ2_DIR=/hive/data/genomes/petMar2/petMar2.2bit SEQ2_LEN=/hive/data/genomes/petMar2/chrom.sizes SEQ2_CHUNK=10000000 SEQ2_LAP=0 SEQ2_LIMIT=60 BASE=/hive/data/genomes/hg19/bed/lastzPetMar2.2012-10-17 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # adjust the SEQ2_LIMIT with -stop=partition to get a reasonable # number of jobs, 50,000 to something under 100,000 # when not present, SEQ2_LIMIT is a default 100 time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -chainMinScore=5000 -chainLinearGap=loose > do.log 2>&1 & # real 76m34.446s cat fb.hg19.chainPetMar2Link.txt # 30305028 bases of 2897316137 (1.046%) in intersection # set sym link to indicate this is the lastz for this genome: cd /hive/data/genomes/hg19/bed ln -s lastzPetMar2.2012-10-17 lastz.petMar2 # and for the swap mkdir /hive/data/genomes/petMar2/bed/blastz.hg19.swap cd /hive/data/genomes/petMar2/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzPetMar2.2012-10-17/DEF \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -swap -chainMinScore=5000 -chainLinearGap=loose > swap.log 2>&1 & # real 15m22.099s cat fb.petMar2.chainHg19Link.txt # 21515660 bases of 647368134 (3.324%) in intersection # set sym link to indicate this is the lastz for this genome: cd /hive/data/genomes/petMar2/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # lastz White Rhino cerSim1 (DONE - 2012-10-17 - Hiram) # establish a screen to control this job with a name to indicate what it is screen -S cerSim1 mkdir /hive/data/genomes/hg19/bed/lastzCerSim1.2012-10-17 cd /hive/data/genomes/hg19/bed/lastzCerSim1.2012-10-17 cat << '_EOF_' > DEF # Human vs. White Rhino BLASTZ=/cluster/bin/penn/lastz-distrib-1.03.02/bin/lastz # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=20000000 SEQ1_LAP=10000 # QUERY: White Rhino CerSim1 SEQ2_DIR=/hive/data/genomes/cerSim1/cerSim1.2bit SEQ2_LEN=/hive/data/genomes/cerSim1/chrom.sizes SEQ2_CHUNK=10000000 SEQ2_LAP=0 SEQ2_LIMIT=60 BASE=/hive/data/genomes/hg19/bed/lastzCerSim1.2012-10-17 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # adjust the SEQ2_LIMIT with -stop=partition to get a reasonable # number of jobs, 50,000 to something under 100,000 # when not present, SEQ2_LIMIT is a default 100 time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -chainMinScore=3000 -chainLinearGap=medium > do.log 2>&1 & # real 1272m58.952s # problem in chaining chr19, running it manually on hgwdev: cd /hive/data/genomes/hg19/bed/lastzCerSim1.2012-10-17/axtChain/run export maxMem=83886080 ulimit -S -m $maxMem -v $maxMem ulimit -a time ./chain.csh hg19.2bit:chr19: chain/hg19.2bit:chr19:.chain # real 147m46.959s # very impressive: # -rw-rw-r-- 1 707886253 Oct 18 13:03 hg19.2bit:chr19:.chain time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -continue=chainMerge `pwd`/DEF \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -chainMinScore=3000 -chainLinearGap=medium > chainMerge.log 2>&1 & # real 99m4.624s time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -syntenicNet -continue=syntenicNet -stop=syntenicNet `pwd`/DEF \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -chainMinScore=3000 -chainLinearGap=medium > synNet.log 2>&1 # real 60m37.958s cat fb.hg19.chainCerSim1Link.txt # 1683424317 bases of 2897316137 (58.103%) in intersection # set sym link to indicate this is the lastz for this genome: cd /hive/data/genomes/hg19/bed ln -s lastzCerSim1.2012-10-17 lastz.cerSim1 # and for the swap mkdir /hive/data/genomes/cerSim1/bed/blastz.hg19.swap cd /hive/data/genomes/cerSim1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzCerSim1.2012-10-17/DEF \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -swap -chainMinScore=3000 -chainLinearGap=medium > swap.log 2>&1 & # real 100m36s cat fb.cerSim1.chainHg19Link.txt # 1637961407 bases of 2366858012 (69.204%) in intersection # set sym link to indicate this is the lastz for this genome: cd /hive/data/genomes/cerSim1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # construct liftOver to hg17 (DONE - 2012-11-08 - Hiram) screen -S hg17 # manage this longish running job in a screen mkdir /hive/data/genomes/hg19/bed/blat.hg17.2012-11-08 cd /hive/data/genomes/hg19/bed/blat.hg17.2012-11-08 # check it with -debug first to see if it is going to work: time doSameSpeciesLiftOver.pl -buildDir=`pwd` -bigClusterHub=swarm \ -ooc=/hive/data/genomes/hg19/11.ooc \ -debug -dbHost=hgwdev -workhorse=hgwdev hg19 hg17 > do.log 2>&1 # if that is OK, then run it: time doSameSpeciesLiftOver.pl -buildDir=`pwd` -bigClusterHub=swarm \ -ooc=/hive/data/genomes/hg19/11.ooc \ -dbHost=hgwdev -workhorse=hgwdev hg19 hg17 > do.log 2>&1 # real 333m16.756s # verify this file exists: # /gbdb/hg19/liftOver/hg19ToHg17.over.chain.gz # and try out the conversion on genome-test from hg19 to hg17 ######################################################################### # QPCR PRIMERS (DONE - 2012-12-10 - Chin) # The track name is changed to "qPCR Primers" # Reload table with new track_mouse.BED (2013-01-28) # Download mkdir /hive/data/outside/Weizmann/qPcrPrimers cd /hive/data/outside/Weizmann/qPcrPrimers wget http://www.weizmann.ac.il/complex/compphys/software/Amit/primers/human/track_human.BED mkdir -p /hive/data/genomes/hg19/bed/qPcrPrimers cat track_human.BED | grep -v track \ > /hive/data/genomes/hg19/bed/qPcrPrimers/qPcrPrimers_hg19.bed cd /hive/data/genomes/hg19/bed/qPcrPrimers hgLoadBed -bedDetail -tab -renameSqlTable \ -sqlTable=$HOME/kent/src/hg/lib/bedDetail.sql \ hg19 qPcrPrimers qPcrPrimers_hg19.bed # Read 534301 elements of size 14 from qPcrPrimers_hg19.bed # Sorted # Creating table definition for qPcrPrimers # Saving bed.tab # Loading hg19 # NULL descrition column hgsql hg19 -ne "UPDATE qPcrPrimers SET description = NULL;" ############################################################################ # coriellDelDup track (DONE - 2013-01-03 - Hiram) # data came in via email, files deposited to RedMine issue 6530 mkdir /hive/data/genomes/hg19/bed/coriell cd /hive/data/genomes/hg19/bed/coriell # output the XLS files as tab delimited files: # -rw-rw-r-- 1 4544 Dec 4 10:04 coriellReanalyzed.tab # -rw-rw-r-- 1 119331 Dec 4 10:05 coriellDetailsHg19.tab # convert that .tab file to a bed 9 + file: grep -v "^name" coriellDetailsHg19.tab \ | sed -e 's/B-Lymphocyte/B_Lymphocyte/; s/-derived//;' \ | awk -F'\t' '{ rgb="200,0,0"; if ($5 == 0) { rgb="255,0,0"; } if ($5 == 1) { rgb="170,68,0"; } if ($5 == 2) { rgb="0,0,0"; } if ($5 == 3) { rgb="0,68,170"; } if ($5 == 4) { rgb="0,0,255"; } gsub(" ","_",$6); gsub("\"","",$7); gsub("\"","",$8); printf "%s\t%d\t%d\t%s\t%d\t+\t%d\t%d\t%s\t%d\t%s\t%s\t%s\n", $2,$3,$4,$1,$5*100,$3,$4,rgb,$5,$6,$7,$8}' \ | sort -k1,1 -k2,2n > coriellDetailsHg19.bed9 # added the coriellDelDup.as coriellDelDup.sql files to the source tree # in src/hg/lib/ # loading the table: hgLoadBed -tab -type=bed9+ \ -sqlTable=$HOME/kent/src/hg/lib/coriellDelDup.sql -bedDetail hg19 \ coriellDelDup coriellDetailsHg19.bed9 # add the description of the table to tableDescriptions in order to # see the functioning of the hgc clicks, the nightly tableDescriptions # build will pick this up from the source tree: /bin/echo -n -e 'DELETE FROM tableDescriptions where tableName="coriellDelDup"; ' > tableDescriptions.entry.sql /bin/echo -n -e "INSERT INTO tableDescriptions (tableName, autoSqlDef, gbdAnchor) values ('coriellDelDup', '" >> tableDescriptions.entry.sql cat $HOME/kent/src/hg/lib/coriellDelDup.as >> tableDescriptions.entry.sql /bin/echo -e "', '');" >> tableDescriptions.entry.sql hgsql hg19 < tableDescriptions.entry.sql ############################################################################ # ENCODE Regulation track -- make doc has been moved to encodeRegHg19.txt ############################################################################ # affyCytoScan track (DONE - 2013-01-15 - kuhn ) # for affyCytoScanHD chipset # aamp left no record of what he did. # This reconstructs it, as best I can figure # followed by what I did to finish it up. cd /hive/data/genomes/hg19/bed mkdir affyCytoScan cd affyCytoScan # files from Carl Dowds at affy: # CytoScanHD_ProbeList_CN.zip # CytoScanHD_ProbeList_SNP.zip # It looks like the files were catenated into a file called both.bed # Columns were added to get to coloring field # score=1000, strand=+ thickStart=chromStart thickEnd=chromEnd # reserved=<colors> # Colors are 204 for blue (C- probes) and 3368499 for green (S- probes) # Then he loaded into db, picking up a bin column. # File bed.tab has one color for each source file, but some # probes are in both sets commTrio.csh CytoScanHD_ProbeList_CN.bed CytoScanHD_ProbeList_SNP.bed rm # 1953247 CytoScanHD_ProbeList_CN.bed.Only # 53144 CytoScanHD_ProbeList_SNP.bed.Only # 743304 CytoScanHD_ProbeList_CN.bed.CytoScanHD_ProbeList_SNP.bed.Only # # both sets # (SNP-file probes are all named "S-") # (CN -file probes are named "C-" and "S-", but the S- are all in the SNP # file, too) ###### kuhn hereafter # The SNP probes in the CN file are redundant, so I dropped them # by making everything one color, then uniq the whole file. hgsql -N -e "SELECT * FROM affyCytoScan" hg19 > hg19.affyCytoScan cat hg19.affyCytoScan | sed 's/204$/3368499/' > hg19.cytoScan.oneColor cat hg19.cytoScan.oneColor | sort -u > hg19.cytoScan.oneColor.uniq wc -l *oneColor* # 3492997 hg19.cytoScan.oneColor # 2749693 hg19.cytoScan.oneColor.uniq # Lost exactly the number of probes that were "S-" type, # but were colored the same as the others in the "C-" file. # 743304 < # of dupes # remove bin for loading # (don't know if this is necessary, maybe it'd load with bin in place) cat hg19.cytoScan.oneColor.uniq | awk '{print $2, $3, $4, $5, $6, $7, $8, $9, $10}' \ > hg19.cytoScan.oneColor.noBin # load hgLoadBed -type=bed9 hg19 affyCytoScanNew hg19.cytoScan.oneColor.noBin # Set colors per Carl Dowds: mysql> UPDATE affyCytoScanNew SET reserved = 3308830 WHERE name LIKE "C-%"; mysql> UPDATE affyCytoScanNew SET reserved = 8913032 WHERE name LIKE "S-%"; # Checked new track in Browser by making temporary block for it in trackDb.ra # Moved into place: mysql> RENAME TABLE affyCytoScan TO affyCytoScanAndy; mysql> RENAME TABLE affyCytoScanNew TO affyCytoScan; ############################################################################ # Chimp Lastz run (DONE 1/29/13 angie) mkdir /hive/data/genomes/hg19/bed/lastzPanTro4.2013-01-25 cd /hive/data/genomes/hg19/bed/lastzPanTro4.2013-01-25 cat << '_EOF_' > DEF # human vs chimp BLASTZ=/cluster/bin/penn/lastz-distrib-1.03.02/bin/lastz # maximum M allowed with lastz is only 254 BLASTZ_M=254 BLASTZ_Q=/scratch/data/blastz/human_chimp.v2.q BLASTZ_O=600 BLASTZ_E=150 BLASTZ_K=4500 BLASTZ_Y=15000 BLASTZ_T=2 # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 SEQ1_IN_CONTIGS=0 # QUERY: Chimp PanTro4 SEQ2_DIR=/hive/data/genomes/panTro4/panTro4.2bit SEQ2_LEN=/hive/data/genomes/panTro4/chrom.sizes SEQ2_CHUNK=10000000 SEQ2_LAP=0 SEQ2_LIMIT=200 SEQ2_IN_CONTIGS=0 BASE=/hive/data/genomes/hg19/bed/lastzPanTro4.2013-01-25 TMPDIR=/scratch/tmp '_EOF_' # << emacs screen # use screen to manage this long-running job ~/kent/src/hg/utils/automation/doBlastzChainNet.pl `pwd`/DEF -verbose=2 \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=memk -bigClusterHub=swarm \ -syntenicNet >& do.log & tail -f do.log cat fb.hg19.chainPanTro4Link.txt #2760526412 bases of 2897316137 (95.279%) in intersection # filter with doRecipBest.pl doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 panTro4 >& rbest.log & tail -f rbest.log # running the swap mkdir /hive/data/genomes/panTro4/bed/blastz.hg19.swap cd /hive/data/genomes/panTro4/bed/blastz.hg19.swap ~/kent/src/hg/utils/automation/doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzPanTro4.2013-01-25/DEF \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -syntenicNet >& swap.log & tail -f swap.log cat fb.panTro4.chainHg19Link.txt #2773561724 bases of 2902338967 (95.563%) in intersection ############################################################################# # LASTZ Gibbon NomLeu3 (DONE - Tue Mar 26 18:52:03 PDT 2013 - Pauline) mkdir /hive/data/genomes/hg19/bed/lastzNomLeu3.2013-03-06 cd /hive/data/genomes/hg19/bed/lastzNomLeu3.2013-03-06 cat << '_EOF_' > DEF # human vs gibbon # maximum M allowed with lastz is only 254 BLASTZ_M=254 BLASTZ_Q=/scratch/data/blastz/human_chimp.v2.q BLASTZ_O=600 BLASTZ_E=150 # other parameters on advice from Webb BLASTZ_K=4500 BLASTZ_Y=15000 BLASTZ_T=2 # TARGET: Human hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Gibbon nomLeu3 SEQ2_DIR=/hive/data/genomes/nomLeu3/nomLeu3.2bit SEQ2_LEN=/hive/data/genomes/nomLeu3/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=100 BASE=/hive/data/genomes/hg19/bed/lastzNomLeu3.2013-03-06 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # establish a screen to control this job screen -S lastz /usr/bin/time -p nice doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -syntenicNet \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ >& do.log & # real 724m15s cat fb.hg19.chainNomLeu3Link.txt # 2542790081 bases of 2897316137 (87.764%) in intersection cd /hive/data/genomes/hg19/bed ln -s lastzNomLeu3.2013-03-06 lastz.nomLeu3 # running the swap - DONE - 2013-03-26 mkdir /hive/data/genomes/nomLeu3/bed/blastz.hg19.swap cd /hive/data/genomes/nomLeu3/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzNomLeu3.2013-03-06/DEF \ -swap -syntenicNet \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ > swap.log 2>&1 & # real 138m48s cat fb.nomLeu3.chainHg19Link.txt # 2479386532 bases of 2756609047 (89.943%) in intersection ############################################################################## # DBNSFP (DONE 3/22/13 angie) # The database of non-synonymous functional predictions (dbNSFP) contains # precomputed scores from a wide variety of tools on all non-synon variants # of all genomic positions in the CDS of Gencode transcripts. Pick out # some interesting subsets of its 52 columns and translate into bigBed and # bigWig files that can be joined with users' variants by the Variant # Annotation Integrator (#6152). screen -S dbNSFP -t dbNSFP mkdir /hive/data/genomes/hg19/bed/dbNSFP2.0 cd /hive/data/genomes/hg19/bed/dbNSFP2.0 wget http://dbnsfp.houstonbioinformatics.org/dbNSFPzip/dbNSFP2.0.zip unzip dbNSFP2.0.zip # Run a perl script that digests the 52-column input files into several independent # bed3+ files: ~/kent/src/hg/utils/dbNsfpToBed.pl dbNSFP*_variant.chr* # There are a bunch of mild warnings like this: #FYI: >3 rows (5) for {chr1, 1221327, ENST00000379110}; removing less-informative duplicates. # The script has a workaround and follow-up error check, but it would be # good to report the cases to dbNSFP (see script for details). wc -l *.bed # 2466469 dbNsfpGerpNr.bed # 22275488 dbNsfpGerpRs.bed # 231348 dbNsfpInterPro.bed # 24810552 dbNsfpLrt.bed # 28654727 dbNsfpMutationAssessor.bed # 26188935 dbNsfpMutationTaster.bed # 27629124 dbNsfpPolyPhen2.bed # 31826285 dbNsfpSeqChange.bed # 28302771 dbNsfpSift.bed # 474262 dbNsfpUniProt.bed # Are all subsets present on all chroms? foreach f (*.bed) echo $f cut -f 1 $f | uniq -c > $f:r.chromHist end wc -l *.chromHist # 24 dbNsfpGerpNr.chromHist # 24 dbNsfpGerpRs.chromHist # 24 dbNsfpInterPro.chromHist # 24 dbNsfpLrt.chromHist # 24 dbNsfpMutationAssessor.chromHist # 24 dbNsfpMutationTaster.chromHist # 24 dbNsfpPolyPhen2.chromHist # 24 dbNsfpSeqChange.chromHist # 23 dbNsfpSift.chromHist # 24 dbNsfpUniProt.chromHist # -- nope, dbNsfpSift has no chrY. SIFT limitation?? # Convert Gerp scores to bigWig bedGraphToBigWig dbNsfpGerpNr.bed /hive/data/genomes/hg19/chrom.sizes dbNsfpGerpNr.bw bedGraphToBigWig dbNsfpGerpRs.bed /hive/data/genomes/hg19/chrom.sizes dbNsfpGerpRs.bw # Convert remaining files to bigBed foreach f (dbNsfp[^G]*.bed) set track = $f:r echo $track set autoSql = ~/kent/src/hg/lib/$track.as bedToBigBed -type=bed3+ -as=$autoSql -tab \ $f /hive/data/genomes/hg19/chrom.sizes $track.bb end # Load database tables mkdir /gbdb/hg19/dbNsfp foreach f (dbNsfp*.{bb,bw}) ln -s `pwd`/$f /gbdb/hg19/dbNsfp/ hgBbiDbLink hg19 $f:r /gbdb/hg19/dbNsfp/$f end # Clean up: remove large files that can be re-unzipped or regenerated: rm -f search_db* dbNS*_variant.chr* dbNs*.bed ############################################################################## # GAD UPDATE (DONE 3/25/13 angie) mkdir /hive/data/genomes/hg19/bed/gad set today = `date +%Y_%m_%d` mkdir /hive/data/genomes/hg19/bed/gad/$today cd /hive/data/genomes/hg19/bed/gad/$today # Download requires a simple registration process: enter name and email on # http://geneticassociationdb.nih.gov/cgi-bin/download.cgi # and then you will receive an automated email with a download link. wget <downloadUrlFromEmail> unzip -j all.zip # Examine the 43 column labels of all.txt: tail -n +3 all.txt | head -1 \ | perl -wne 'chomp; @w = split("\t"); \ $i = 1; foreach $w (@w) { print "$i\t$w[$i-1]\n"; $i++; }' # hg/lib/gadAll.sql has 45 columns -- apparently two have been dropped # from the latest all.txt. Insert empty strings for those two. # NOTE: the first run of this generated a bunch of 'uninitialized value' # warnings; there were two stray linebreaks that I manually edited out. tail -n +4 all.txt \ | perl -wne 's/\r//g; @w = split(/\t/, $_, -1); \ next if ($w[6] eq "" || $w[9] eq "" || $w[10] eq ""); \ $w[9] =~ s/,//g; $w[10] =~ s/,//g; \ print join("\t", @w[0..29], "", "", @w[30..$#w]);' \ | hgLoadSqlTab hg19 gadAll ~/kent/src/hg/lib/gadAll.sql stdin # Coords given in gadAll are a little wacky, so we ignore them. # Use Fan's program to associate geneSymbols with genomic coords from # preferred sources (first ensCanonical, then refGene, then kgAlias; # *** NOTE FOR NEXT TIME: gadPos now also looks in a couple Gencode V14 # tables if they exist. If they don't anymore, you should look for # suitable replacements if there are a lot of unfound IDs. ***) gadPos hg19 stdout | sort -k1,1 -k2n,2n -k4,4 -u > gad.tab #Found in ensCanonical: 7758 #Found in refGene: 10 #Found in kgAlias: 193 #Found in Gencode: 178 #Not found: 94 # use -nobin option to ensure display order is according to genomic position # -- table is very small so performance is fine hgLoadBed -nobin hg19 gad gad.tab #Read 9156 elements of size 4 from gad.tab ######################################################################### # UPDATE COSMIC TRACK - v64 (DONE - 2013-04-17 - Hiram) # take a look at: # ftp://ftp.sanger.ac.uk/pub/CGP/cosmic/data_export/Request_based_exports/ # to see what the new version file name is, then: cd /hive/data/genomes/hg19/bed/cosmic time ~/kent/src/hg/utils/automation/loadCosmic.pl -dryRun hg19 \ ftp://ftp.sanger.ac.uk/pub/CGP/cosmic/data_export/Request_based_exports/UCSCMutExp_v64_260313.csv.gz # New length: 677957 # Old length: 616299 # Percent bed overlap with previous version: 100.00% # Number of deleted IDs: 1 # Number of added IDs: 61659 # real 1m4.240s # that created files in: /hive/data/genomes/hg19/bed/cosmic/v64/ # then: cd /hive/data/genomes/hg19/bed/cosmic/v64/ time ~/kent/src/hg/utils/automation/loadCosmic.pl hg19 \ ftp://ftp.sanger.ac.uk/pub/CGP/cosmic/data_export/Request_based_exports/UCSCMutExp_v64_260313.csv.gz \ > do.log 2>&1 # real 0m27.062s # Read 677957 elements of size 4 from cosmic.bed ######################################################################### # UPDATE COSMIC TRACK - v65 (DONE - 2013-06-10 - Hiram) # take a look at: # ftp://ftp.sanger.ac.uk/pub/CGP/cosmic/data_export/Request_based_exports/ # to see what the new version file name is, then: cd /hive/data/genomes/hg19/bed/cosmic time ~/kent/src/hg/utils/automation/loadCosmic.pl -dryRun hg19 \ ftp://ftp.sanger.ac.uk/pub/CGP/cosmic/data_export/Request_based_exports/UCSCMutExp_v65_100613.csv.gz # New length: 868893 # Old length: 677957 # Percent bed overlap with previous version: 77.53% # Number of deleted IDs: 163277 # Number of added IDs: 354213 # real 0m42.584s # that created files in: /hive/data/genomes/hg19/bed/cosmic/v65/ # then: cd /hive/data/genomes/hg19/bed/cosmic/v65/ time ~/kent/src/hg/utils/automation/loadCosmic.pl hg19 \ ftp://ftp.sanger.ac.uk/pub/CGP/cosmic/data_export/Request_based_exports/UCSCMutExp_v65_100613.csv.gz \ > do.log 2>&1 # real 0m39.941s # Read 868893 elements of size 4 from cosmic.bed ######################################################################### # UPDATE COSMIC TRACK - v66 (DONE - 2013-08-15 - Hiram) # take a look at: # ftp://ftp.sanger.ac.uk/pub/CGP/cosmic/data_export/Request_based_exports/ # to see what the new version file name is, then: cd /hive/data/genomes/hg19/bed/cosmic time ~/kent/src/hg/utils/automation/loadCosmic.pl -dryRun hg19 \ ftp://ftp.sanger.ac.uk/pub/CGP/cosmic/data_export/Request_based_exports/UCSCMutExp_v66_250713.csv.gz # New length: 1211379 # Old length: 868893 # Percent bed overlap with previous version: 100.00% # Number of deleted IDs: 0 # Number of added IDs: 342486 # real 1m52.911s # that created files in: /hive/data/genomes/hg19/bed/cosmic/v66/ # then: cd /hive/data/genomes/hg19/bed/cosmic/v66/ time ~/kent/src/hg/utils/automation/loadCosmic.pl hg19 \ ftp://ftp.sanger.ac.uk/pub/CGP/cosmic/data_export/Request_based_exports/UCSCMutExp_v66_250713.csv.gz \ > do.log 2>&1 # real 0m56.363s # Read 1211379 elements of size 4 from cosmic.bed ############################################################################ # UPDATE COSMIC TRACK - v67 (DONE - 2014-01-21 - Hiram) # take a look at: # ftp://ftp.sanger.ac.uk/pub/CGP/cosmic/data_export/Request_based_exports/ # to see what the new version file name is, then: cd /hive/data/genomes/hg19/bed/cosmic time ~/kent/src/hg/utils/automation/loadCosmic.pl -dryRun hg19 \ ftp://ftp.sanger.ac.uk/pub/CGP/cosmic/data_export/Request_based_exports/UCSCMutExp_v67_031213.csv.gz # New length: 1268325 # Old length: 1211379 # Percent bed overlap with previous version: 99.99% # Number of deleted IDs: 409 # Number of added IDs: 57355 # real 1m4.883s # that created files in: /hive/data/genomes/hg19/bed/cosmic/v67/ # then: cd /hive/data/genomes/hg19/bed/cosmic/v67/ time ~/kent/src/hg/utils/automation/loadCosmic.pl hg19 \ ftp://ftp.sanger.ac.uk/pub/CGP/cosmic/data_export/Request_based_exports/UCSCMutExp_v67_031213.csv.gz \ > do.log 2>&1 # real 0m57.187s # Read 1268325 elements of size 4 from cosmic.bed ############################################################################ # UPDATE COSMIC TRACK - v68 (DONE - 2014-02-25 - Hiram) # take a look at: # ftp://ftp.sanger.ac.uk/pub/CGP/cosmic/data_export/Request_based_exports/ # to see what the new version file name is, then: cd /hive/data/genomes/hg19/bed/cosmic time ~/kent/src/hg/utils/automation/loadCosmic.pl -dryRun hg19 \ ftp://ftp.sanger.ac.uk/pub/CGP/cosmic/data_export/Request_based_exports/UCSCMutExp_v68.csv.gz # New length: 1287203 # Old length: 1268325 # Percent bed overlap with previous version: 100.00% # Number of deleted IDs: 197 # Number of added IDs: 19075 # real 1m17.976s # that created files in: /hive/data/genomes/hg19/bed/cosmic/v68/ # then: cd /hive/data/genomes/hg19/bed/cosmic/v68/ time ~/kent/src/hg/utils/automation/loadCosmic.pl hg19 \ ftp://ftp.sanger.ac.uk/pub/CGP/cosmic/data_export/Request_based_exports/UCSCMutExp_v68.csv.gz \ > do.log 2>&1 # real 0m59.645s # Read 1287203 elements of size 4 from cosmic.bed ############################################################################ # SwissProt Mutations track (spMut) (2013-05-09 - Max) cd ~/kent/src/hg/utils/uniprotMutations/ # make a psl file to lift from uniprot to hg19 # we align from uniprot to refseq, then from refseq to hg19, to handle # introns, based on markd's ls-snp pipeline makeUniProtToHg.sh # reformat the uniProt parser output (publications track) to bed, lift it and add the extra fields liftUniprotMut.py # load the resulting bigbed track into the browser load.sh ############################################################################ # LOVD Variants track (2013-05-09 - Max) # the LOVD track is fully ottomatized, it's updated daily with this # command: cd /hive/data/outside/otto/lovd download.sh && check.sh && load.sh ############################################################################ # PERSONAL GENOME VARIANTS - RELOAD (DONE 5/31/13 angie) # Belinda Giardine provided database dump files for all PSU Personal # Genome Variant subtracks, as well as an updated trackDb.ra. # Download all dump files and (re)load all tables to make sure we # are current w/PSU. mkdir /hive/data/genomes/hg19/bed/pgSnp/2013-05-28 cd /hive/data/genomes/hg19/bed/pgSnp/2013-05-28 # Complete Genomics samples w/HG* IDs: wget ftp://ftp.bx.psu.edu/data/bx_browser/hg19/HG\* # Complete Genomics samples w/NA* IDs: wget ftp://ftp.bx.psu.edu/data/bx_browser/hg19/NA\* # Older Personal Genome Variants tables, many of which Belinda already # loaded on hgwdev: wget ftp://ftp.bx.psu.edu/data/bx_browser/hg19/pg\* # 1000 Genomes distilled to population allele frequencies: wget ftp://ftp.bx.psu.edu/data/bx_browser/hg19/1000Genomes2012/\* # Genome of the Netherlands population-wide allele frequencies: wget ftp://ftp.bx.psu.edu/data/bx_browser/hg19/gonl.pgPop.gz # Now transform filenames into table/track names matching Belinda's # trackDb.pgSnp.ra and (re)load tables: set hglbOpts = (-sqlTable=$HOME/kent/src/hg/lib/pgSnp.sql -renameSqlTable \ -type=bed4+ -tab -noNameIx -allowStartEqualEnd) foreach f (HG*.gz) set table = `echo $f:r:r | sed -re 's/\.indel/indel/; s/^/pg/;'` echo $table hgLoadBed $hglbOpts hg19 $table $f end # Read 471455 elements of size 7 from HG00731.indel.pgSnp.gz # Read 3419274 elements of size 7 from HG00731.pgSnp.gz # Read 466400 elements of size 7 from HG00732.indel.pgSnp.gz # Read 3457087 elements of size 7 from HG00732.pgSnp.gz # Read 429472 elements of size 7 from HG00733.indel.pgSnp.gz # Read 3407941 elements of size 7 from HG00733.pgSnp.gz # Here's where it gets tricky: several of these NA IDs need to have "CG" # appended to their table names because there were already pgNA* tables # from 1000 Genomes Pilot high-coverage trios. foreach f (NA*.gz) set table = `echo $f:r:r | sed -re 's/\.indel/indel/; s/^/pg/;'` if ($table == pgNA12878 || $table == pgNA12891 || $table == pgNA12892 || \ $table == pgNA19238 || $table == pgNA19239 || $table == pgNA19240) then set table = $table"CG" endif echo $table hgLoadBed $hglbOpts hg19 $table $f end #Read 497395 elements of size 7 from NA06985.indel.pgSnp.gz #... (no errors) #Read 4058556 elements of size 7 from NA21767.pgSnp.gz # Some of the pg* files/tables are not for pgSnp tracks; skip those. # Also watch out for some files that do already have the bin column. foreach f (pg*.gz) set table = $f:r:r set skipIt = `echo $table \ | perl -wne 'if (/(Gwas|Hgmd|PhenCode|Snpedia|Mappable)/) { \ print "1\n"; } else {print "0\n"; }'` if ($skipIt == 1) then echo Skipping $table else echo $table set numCols = `zcat $f | head -1 | perl -wne '$n = s/\t//g + 1; print "$n\n";'` if ($numCols == 8) then hgLoadBed $hglbOpts -hasBin hg19 $table $f else hgLoadBed $hglbOpts hg19 $table $f endif endif end #Read 121305 elements of size 7 from pgAbt454.txt.gz #... #Skipping pgAbtGwas #Skipping pgAbtHgmd #... #Read 3835591 elements of size 7 from pgYoruban3.txt.gz # 5/31/13: One more file, rename a table: wget ftp://ftp.bx.psu.edu/data/bx_browser/hg19/pgLucier.pgSnp.gz hgLoadBed $hglbOpts hg19 pgLucier pgLucier.pgSnp.gz hgsql hg19 -e 'drop table pgKb1Comb; rename table pgKb1 to pgKb1Comb;' ############################################################################ # RETROPOSED GENES ucscRetro track VERSION 5 # (2013-02-28 - 2013-04-18, baertsch,hartera DONE) mkdir -p /hive/hive/groups/gencode/pseudogenes/retroFinder/hg19.20130228 cd /hive/groups/gencode/pseudogenes/retroFinder/hg19.20130228 mkdir -p /hive/data/genomes/hg19/bed/retro/ cd /hive/groups/gencode/pseudogenes/retroFinder/hg19.20130228 cat << '_EOF_' > DEF RETRO_OPTIONS="-verbose=4 -minAli=0.98 -nearTop=0.005 -skipBlatMerge " VERSION=5 DB=hg19 SCORETHRESH=550 GENOMENAME='Homo sapiens' GBDB=hg DATE=20130228 BINDIR=/hive/users/hartera/GencodeWG/retroFinder/trunk/bin KENTBINDIR=/cluster/home/hartera/bin/x86_64 MRNABASE=/hive/data/genomes/$DB/bed/mrnaBlastz.$VERSION/ TMPMRNA=/hive/groups/gencode/pseudogenes/retroFinder/$DB.$DATE/mrnaBlastz/$DB TMPEST=/hive/groups/gencode/pseudogenes/retroFinder/$DB.$DATE/est/$DB EST=all_est SPLICED_EST=intronEst SPLIT_EST=0 SPLIT_SPLICED_EST=0 SCRIPT=/hive/users/hartera/GencodeWG/retroFinder/trunk/src/pipeline GENOME=/hive/data/genomes/ RETRODIR=$GENOME/$DB/bed/retro BASE=/hive/groups/gencode/pseudogenes/retroFinder/$DB.$DATE/retro OUTDIR=${BASE}/${DB}.${VERSION} RESULT=$OUTDIR/result LOG=$OUTDIR/log OUT=$OUTDIR/out OVERLAPDIR=$OUTDIR/run.o TABLE=ucscRetroInfo$VERSION ORTHOTABLE=ucscRetroOrtho$VERSION ALIGN=ucscRetroAli$VERSION LOCAL=/scratch/data/$DB TWOBIT=$GENOME/$DB/$DB.2bit NIB=$LOCAL/nib RMSK=rmsk NET1=netMm10 NET2=netCanFam3 NET3=netRheMac3 # these two nes determine which retros are classified as ancient, use two farthest nets ANCIENT1=netMm10 ANCIENT2=netCanFam3 GENE1=ensGene GENE2=refGene GENE3=ensGene CLUSTER=swarm SPECIES="hg19 mm10" ROOTDIR="~/public_html/retro/hg19Feb13" WEBROOT=$ROOTDIR/retro.$VERSION/ WEBSERVER=http://hgwdev-hartera.soe.ucsc.edu EXPDIR=exp GENEPFAM=ensGene PFAM=ensToPfam PFAMIDFIELD=name PFAMDOMAIN=value ALTSPLICE=sibTxGraph SPLITBYAGE=$SCRIPT/splitRetrosByAge PDB=proteins121210 ARRAY=gnfAtlas2 AFFYPROBE="affyU133A,affyGnf1h" ARRAYMEDIAN=hgFixed.gnfHumanAtlas2Median ARRAYRATIO=hgFixed.gnfHumanAtlas2AllRatio ARRAYABS=hgFixed.gnfHumanAtlas2All ARRAYEXP=hgFixed.gnfHumanAtlas2MedianExps ARRAYEXPALL=hgFixed.gnfHumanAtlas2AllExps ARRAYLOOKUP=ensToGnfAtlas2 ARRAYPSLS="/hive/data/genomes/hg19/bed/geneAtlas2/affyU133A.psl /hive/data/genomes/hg19/bed/geneAtlas2/affyGnf1h.psl" '_EOF_' # << happy emacs chmod +x DEF mkdir mrnaBlastz cd mrnaBlastz cp ../DEF . # Create S1.len: cp /hive/data/genomes/hg19/chrom.sizes S1.len # Edit S1.len and remove chrM and random chroms then copy over to hg19 # genomes directory mkdir -p /hive/data/genomes/hg19/bed/mrnaBlastz.5 cp S1.len /hive/data/genomes/hg19/bed/mrnaBlastz.5 screen # Run steps 1 to 6 of RetroFinder pipeline from scripts in CCDS SVN source tree: retroFinder/trunk/src/pipeline/ucscStep1.sh DEF # check cluster job on swarm retroFinder/trunk/src/pipeline/ucscStep2.sh DEF retroFinder/trunk/src/pipeline/ucscStep3.sh DEF #check cluster job retroFinder/trunk/src/pipeline/ucscStep4.sh DEF #check cluster job # Load the track retroFinder/trunk/src/pipeline/ucscStep5.sh DEF cd /hive/groups/gencode/pseudogenes/retroFinder/hg19.20130228/retro/hg19.5 retroFinder/trunk/src/pipeline/filterMrna.sh DEF retroFinder/trunk/src/pipeline/filterEst.sh DEF retroFinder/trunk/src/pipeline/analyseExpress.sh DEF cd /hive/groups/gencode/pseudogenes/retroFinder/hg19.20130228/mrnaBlastz retroFinder/trunk/src/pipeline/ucscStep6.sh DEF #added ucscRetroAli to trackDb.ra # copied # /hive/groups/gencode/pseudogenes/retroFinder/hg19.20130228/retro/hg19.5/trackDb.retro # entry to kent/src/hg/makeDb/trackDb/human/hg19/trackDb.ra and edited it # to add the version number and date. # Scripts copied ucscRetroAli5.psl, ucscRetroInfo5.bed and ucscRetroCds5.tab # to /hive/data/genomes/hg19/bed/retro/ ############################################################################ # LASTZ Tenrec EchTel2 (DONE - 2013-06-12 - Hiram) screen -S hg19EchTel2 # use screen to manage the long running job mkdir /hive/data/genomes/hg19/bed/lastzEchTel2.2013-06-12 cd /hive/data/genomes/hg19/bed/lastzEchTel2.2013-06-12 cat << '_EOF_' > DEF # Human vs. Tenrec BLASTZ=/cluster/bin/penn/lastz-distrib-1.03.02/bin/lastz # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=20000000 SEQ1_LAP=10000 # QUERY: Tenrec SEQ2_DIR=/hive/data/genomes/echTel2/echTel2.2bit SEQ2_LEN=/hive/data/genomes/echTel2/chrom.sizes SEQ2_CHUNK=10000000 SEQ2_LIMIT=100 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzEchTel2.2013-06-12 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # establish a screen to control this job screen time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -syntenicNet \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -chainMinScore=3000 -chainLinearGap=medium > do.log 2>&1 & # real 917m59.931s # failed during chaining on chr19, finish the one job on hgwdev time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -continue=chainMerge -syntenicNet \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -chainMinScore=3000 -chainLinearGap=medium > chainMerge.log 2>&1 & # real 70m53.043s cat fb.hg19.chainEchTel2Link.txt # 873117393 bases of 2897316137 (30.135%) in intersection # broke down in downloads step due to errors in hgAddLiftOverChain # finished manually, then continuing: time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -continue=cleanup -syntenicNet \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -chainMinScore=3000 -chainLinearGap=medium > cleanupSynNet.log 2>&1 & # real 25m46.973s # set sym link to indicate this is the lastz for this genome: cd /hive/data/genomes/hg19/bed ln -s lastzEchTel2.2013-06-12 lastz.echTel2 # better to have reciprocal best for this one since it is low coverage: cd /hive/data/genomes/hg19/bed/lastzEchTel2.2013-06-12 time doRecipBest.pl hg19 echTel2 -buildDir=`pwd` -workhorse=hgwdev \ > best.log 2>&1 & # real 44m19.505s # and, for the swap mkdir /hive/data/genomes/echTel2/bed/blastz.hg19.swap cd /hive/data/genomes/echTel2/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzEchTel2.2013-06-12/DEF \ -swap -syntenicNet \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -chainMinScore=3000 -chainLinearGap=medium > swap.log 2>&1 & # real 80m29s cat fb.echTel2.chainHg19Link.txt # 852830619 bases of 2605196361 (32.736%) in intersection # set sym link to indicate this is the lastz for this genome: cd /hive/data/genomes/echTel2/bed ln -s blastz.hg19.swap lastz.hg19 ############################################################################## # LASTZ Pika OchPri3 (DONE - 2013-06-17 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzOchPri3.2013-06-17 cd /hive/data/genomes/hg19/bed/lastzOchPri3.2013-06-17 cat << '_EOF_' > DEF # Human vs. Pika BLASTZ=/cluster/bin/penn/lastz-distrib-1.03.02/bin/lastz # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=20000000 SEQ1_LAP=10000 # QUERY: Pika SEQ2_DIR=/hive/data/genomes/ochPri3/ochPri3.2bit SEQ2_LEN=/hive/data/genomes/ochPri3/chrom.sizes SEQ2_CHUNK=40000000 SEQ2_LIMIT=30 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzOchPri3.2013-06-17 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # establish a screen to control this job screen time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -syntenicNet -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ > do.log 2>&1 & # real 1057m2.114s # broken during loading due to no ochPri3 db existing # get that going, then finish the loading manually # real 11m33.971s # continuing: time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -continue=download `pwd`/DEF \ -syntenicNet -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ > download.log 2>&1 & # real 27m40.806s cat fb.hg19.chainOchPri3Link.txt # 1004662072 bases of 2897316137 (34.676%) in intersection time doRecipBest.pl -buildDir=`pwd` hg19 ochPri3 > rbest.log 2>&1 # real 266m38.281s mkdir /hive/data/genomes/ochPri3/bed/blastz.hg19.swap cd /hive/data/genomes/ochPri3/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzOchPri3.2013-06-17/DEF \ -syntenicNet -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ > swap.log 2>&1 & # real 71m5.679s cat fb.ochPri3.chainHg19Link.txt # 969182988 bases of 1943987870 (49.855%) in intersection cd /hive/data/genomes/ochPri3/bed ln -s blastz.hg19.swap lastz.hg19 ############################################################################## # LASTZ Sheep OviAri3 (DONE - 2013-06-17 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzOviAri3.2013-06-17 cd /hive/data/genomes/hg19/bed/lastzOviAri3.2013-06-17 cat << '_EOF_' > DEF # Human vs. Sheep BLASTZ=/cluster/bin/penn/lastz-distrib-1.03.02/bin/lastz # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=20000000 SEQ1_LAP=10000 # QUERY: Sheep SEQ2_DIR=/hive/data/genomes/oviAri3/oviAri3.2bit SEQ2_LEN=/hive/data/genomes/oviAri3/chrom.sizes SEQ2_CHUNK=40000000 SEQ2_LIMIT=20 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzOviAri3.2013-06-17 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # establish a screen to control this job screen time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -syntenicNet -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ > do.log 2>&1 & # real 1303m1.839s # finished last chaining job: # real 126m52.973s time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -continue=chainMerge `pwd`/DEF \ -syntenicNet -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ > chainMerge.log 2>&1 & # real 123m11.588s cat fb.hg19.chainOviAri3Link.txt # 1356890439 bases of 2897316137 (46.833%) in intersection time doRecipBest.pl -buildDir=`pwd` hg19 oviAri3 > rbest.log 2>&1 & # real 325m50.050s # and for the swap: mkdir /hive/data/genomes/oviAri3/bed/blastz.hg19.swap cd /hive/data/genomes/oviAri3/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzOviAri3.2013-06-17/DEF \ -swap -syntenicNet -workhorse=hgwdev -smallClusterHub=encodek \ -bigClusterHub=swarm -chainMinScore=3000 -chainLinearGap=medium \ > swap.log 2>&1 # real 107m13.938s cat fb.oviAri3.chainHg19Link.txt # 1316305922 bases of 2534335866 (51.939%) in intersection # set sym link to indicate this is the lastz for this genome: cd /hive/data/genomes/oviAri3/bed ln -s blastz.hg19.swap lastz.hg19 ############################################################################## # LASTZ Shrew SorAra2 (DONE - 2013-06-17 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzSorAra2.2013-06-17 cd /hive/data/genomes/hg19/bed/lastzSorAra2.2013-06-17 cat << '_EOF_' > DEF # Human vs. Shrew BLASTZ=/cluster/bin/penn/lastz-distrib-1.03.02/bin/lastz # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=20000000 SEQ1_LAP=10000 # QUERY: Shrew SEQ2_DIR=/hive/data/genomes/sorAra2/sorAra2.2bit SEQ2_LEN=/hive/data/genomes/sorAra2/chrom.sizes SEQ2_CHUNK=40000000 SEQ2_LIMIT=40 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzSorAra2.2013-06-17 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # establish a screen to control this job screen time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -syntenicNet -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ > do.log 2>&1 & # real 1671m27.543s # stuck in chaining chr19 - running lastOne manually on hgwdev # real 49m31.906s # then continuing: time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -continue=chainMerge `pwd`/DEF \ -syntenicNet -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ > chainMerge.log 2>&1 & # Elapsed time: 87m15s cat fb.hg19.chainSorAra2Link.txt # 802006172 bases of 2897316137 (27.681%) in intersection time doRecipBest.pl -buildDir=`pwd` hg19 sorAra2 > rbest.log 2>&1 # real 267m10.778s # and for the swap: mkdir /hive/data/genomes/sorAra2/bed/blastz.hg19.swap cd /hive/data/genomes/sorAra2/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzSorAra2.2013-06-17/DEF \ -swap -syntenicNet -workhorse=hgwdev -smallClusterHub=encodek \ -bigClusterHub=swarm -chainMinScore=3000 -chainLinearGap=medium \ > swap.log 2>&1 # real 77m5.017s cat fb.sorAra2.chainHg19Link.txt # 778513475 bases of 2192103426 (35.514%) in intersection # set sym link to indicate this is the lastz for this genome: cd /hive/data/genomes/sorAra2/bed ln -s blastz.hg19.swap lastz.hg19 ############################################################################## # LASTZ Zebra finch TaeGut2 (DONE - 2013-06-17 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzTaeGut2.2013-06-17 cd /hive/data/genomes/hg19/bed/lastzTaeGut2.2013-06-17 cat << '_EOF_' > DEF # Human vs. Zebra finch BLASTZ=/cluster/bin/penn/lastz-distrib-1.03.02/bin/lastz # distant settings BLASTZ_Y=3400 BLASTZ_L=6000 BLASTZ_K=2200 BLASTZ_Q=/scratch/data/blastz/HoxD55.q # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=20000000 SEQ1_LAP=10000 # QUERY: Zebra finch SEQ2_DIR=/hive/data/genomes/taeGut2/taeGut2.2bit SEQ2_LEN=/hive/data/genomes/taeGut2/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LIMIT=100 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzTaeGut2.2013-06-17 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # establish a screen to control this job screen time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ > do.log 2>&1 & # real 811m51.660s cat fb.hg19.chainTaeGut2Link.txt # 154165978 bases of 2897316137 (5.321%) in intersection # finished download step manually to get the liftOverChain in hgcentraltest time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -continue=cleanup `pwd`/DEF \ -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ > cleanup.log 2>&1 & # real 5m29.892s time doRecipBest.pl -buildDir=`pwd` hg19 taeGut2 > rbest.log 2>&1 # real 286m17.228s # and, for the swap mkdir /hive/data/genomes/taeGut2/bed/blastz.hg19.swap cd /hive/data/genomes/taeGut2/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzTaeGut2.2013-06-17/DEF \ -swap -syntenicNet \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -chainMinScore=5000 -chainLinearGap=loose > swap.log 2>&1 & # real 42m46.344s cat fb.taeGut2.chainHg19Link.txt # 142016629 bases of 1222864691 (11.613%) in intersection # set sym link to indicate this is the lastz for this genome: cd /hive/data/genomes/taeGut2/bed ln -s blastz.hg19.swap lastz.hg19 ############################################################################## # LASTZ Shrew VicPac2 (DONE - 2013-06-17 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzVicPac2.2013-06-17 cd /hive/data/genomes/hg19/bed/lastzVicPac2.2013-06-17 cat << '_EOF_' > DEF # Human vs. Alpaca BLASTZ=/cluster/bin/penn/lastz-distrib-1.03.02/bin/lastz # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=20000000 SEQ1_LAP=10000 # QUERY: Alpaca SEQ2_DIR=/hive/data/genomes/vicPac2/vicPac2.2bit SEQ2_LEN=/hive/data/genomes/vicPac2/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LIMIT=800 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzVicPac2.2013-06-17 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # establish a screen to control this job screen time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -syntenicNet -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ > do.log 2>&1 & # real 1130m42.615s cat fb.hg19.chainVicPac2Link.txt # 1454261693 bases of 2897316137 (50.193%) in intersection # manually finished the 'download' step after fixing bugs in # the hgAddLiftOverChain, then continue: time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -continue=cleanup `pwd`/DEF \ -syntenicNet -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ > cleanup.log 2>&1 & # Elapsed time: 32m56s time doRecipBest.pl -buildDir=`pwd` hg19 vicPac2 > rbest.log 2>&1 # real 447m22.629s # and, for the swap mkdir /hive/data/genomes/vicPac2/bed/blastz.hg19.swap cd /hive/data/genomes/vicPac2/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzVicPac2.2013-06-17/DEF \ -swap -syntenicNet \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -chainMinScore=3000 -chainLinearGap=medium > swap.log 2>&1 & # real 206m52.132s cat fb.vicPac2.chainHg19Link.txt # 1428125689 bases of 2078582856 (68.707%) in intersection # set sym link to indicate this is the lastz for this genome: cd /hive/data/genomes/vicPac2/bed ln -s blastz.hg19.swap lastz.hg19 ############################################################################## # LASTZ White-throated sparrow ZonAlb1 (DONE - 2013-06-26 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzZonAlb1.2013-06-26 cd /hive/data/genomes/hg19/bed/lastzZonAlb1.2013-06-26 cat << '_EOF_' > DEF # human vs white-throated sparrow # distant settings for human-aves alignment BLASTZ_H=2000 BLASTZ_Y=3400 BLASTZ_L=10000 BLASTZ_K=2200 BLASTZ_Q=/scratch/data/blastz/HoxD55.q # TARGET: Human hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: White-throated sparrow SEQ2_DIR=/hive/data/genomes/zonAlb1/zonAlb1.2bit SEQ2_LEN=/hive/data/genomes/zonAlb1/chrom.sizes SEQ2_CHUNK=100000000 SEQ2_LIMIT=30 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzZonAlb1.2013-06-26 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -stop=load -qRepeats=windowmaskerSdust-syntenicNet \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -chainMinScore=5000 -chainLinearGap=loose > do.log 2>&1 # real 100m7.452s # as expected, failed in the netClass operation due to no zonAlb1 db # That's OK, don't need the net table loaded, run this # to get measurement of chainLinks: cd /hive/data/genomes/hg19/bed/lastzZonAlb1.2013-06-26 featureBits hg19 chainZonAlb1Link > fb.hg19.chainZonAlb1Link.txt 2>&1 # 100700835 bases of 2897316137 (3.476%) in intersection # after setting up zonAlb1 database, proper netClassing and loading # the net track. Can finish this off: time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -continue=download -qRepeats=windowmaskerSdust -syntenicNet \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -chainMinScore=5000 -chainLinearGap=loose > download.log 2>&1 time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 zonAlb1 > rbest.log 2>&1 & # real 100m9.728s # and, for the swap mkdir /hive/data/genomes/zonAlb1/bed/blastz.hg19.swap cd /hive/data/genomes/zonAlb1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzZonAlb1.2013-06-26/DEF \ -swap -qRepeats=windowmaskerSdust -syntenicNet \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -chainMinScore=5000 -chainLinearGap=loose > swap.log 2>&1 & # real 9m27.735s cat fb.zonAlb1.chainHg19Link.txt # 86760815 bases of 1006303327 (8.622%) in intersection # set sym link to indicate this is the lastz for this genome: cd /hive/data/genomes/zonAlb1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # LASTZ Saker falcon falChe1 (DONE - 2013-06-27 - Hiram) screen -S falChe1 # screen to manage this job mkdir /hive/data/genomes/hg19/bed/lastzFalChe1.2013-06-27 cd /hive/data/genomes/hg19/bed/lastzFalChe1.2013-06-27 cat << '_EOF_' > DEF # human vs Saker falcon # distant settings for human-aves alignment BLASTZ_H=2000 BLASTZ_Y=3400 BLASTZ_L=10000 BLASTZ_K=2200 BLASTZ_Q=/scratch/data/blastz/HoxD55.q # TARGET: Human hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Saker falcon SEQ2_DIR=/hive/data/genomes/falChe1/falChe1.2bit SEQ2_LEN=/hive/data/genomes/falChe1/chrom.sizes SEQ2_CHUNK=10000000 SEQ2_LIMIT=50 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzFalChe1.2013-06-27 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -qRepeats=windowmaskerSdust -syntenicNet \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -chainMinScore=5000 -chainLinearGap=loose > do.log 2>&1 # real 523m19.990s cat fb.hg19.chainFalChe1Link.txt # 110443921 bases of 2897316137 (3.812%) in intersection # good to have recip best here time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 falChe1 > rbest.log 2>&1 & # real 12m28.141s # and, for the swap mkdir /hive/data/genomes/falChe1/bed/blastz.hg19.swap cd /hive/data/genomes/falChe1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzFalChe1.2013-06-27/DEF \ -swap -qRepeats=windowmaskerSdust -syntenicNet \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -chainMinScore=5000 -chainLinearGap=loose > swap.log 2>&1 & # real 10m46.936s cat fb.falChe1.chainHg19Link.txt # 94752559 bases of 1150993769 (8.232%) in intersection # set sym link to indicate this is the lastz for this genome: cd /hive/data/genomes/falChe1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # LASTZ Peregrine falcon falPer1 (DONE - 2013-06-27 - Hiram) screen -S falPer1 # screen to manage this job mkdir /hive/data/genomes/hg19/bed/lastzFalPer1.2013-06-27 cd /hive/data/genomes/hg19/bed/lastzFalPer1.2013-06-27 cat << '_EOF_' > DEF # human vs Peregrine falcon # distant settings for human-aves alignment BLASTZ_H=2000 BLASTZ_Y=3400 BLASTZ_L=10000 BLASTZ_K=2200 BLASTZ_Q=/scratch/data/blastz/HoxD55.q # TARGET: Human hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Peregrine falcon SEQ2_DIR=/hive/data/genomes/falPer1/falPer1.2bit SEQ2_LEN=/hive/data/genomes/falPer1/chrom.sizes SEQ2_CHUNK=10000000 SEQ2_LIMIT=50 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzFalPer1.2013-06-27 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -qRepeats=windowmaskerSdust -syntenicNet \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -chainMinScore=5000 -chainLinearGap=loose > do.log 2>&1 # real 511m18.114s cat fb.hg19.chainFalPer1Link.txt # 112378981 bases of 2897316137 (3.879%) in intersection # forgot to have the falPer1 database ready, finish the load, then: time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -continue=download -qRepeats=windowmaskerSdust -syntenicNet \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -chainMinScore=5000 -chainLinearGap=loose > download.log 2>&1 & # good to have recip best here time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 falPer1 > rbest.log 2>&1 & # about 17 minutes # and, for the swap mkdir /hive/data/genomes/falPer1/bed/blastz.hg19.swap cd /hive/data/genomes/falPer1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzFalPer1.2013-06-27/DEF \ -swap -qRepeats=windowmaskerSdust -syntenicNet \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -chainMinScore=5000 -chainLinearGap=loose > swap.log 2>&1 & # real 17m25.640s cat fb.falPer1.chainHg19Link.txt # 96477634 bases of 1153404357 (8.365%) in intersection # set sym link to indicate this is the lastz for this genome: cd /hive/data/genomes/falPer1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # LASTZ Mallard duck anaPla1 (DONE - 2013-06-27 - Hiram) screen -S anaPla1 # screen to manage this job mkdir /hive/data/genomes/hg19/bed/lastzAnaPla1.2013-06-27 cd /hive/data/genomes/hg19/bed/lastzAnaPla1.2013-06-27 cat << '_EOF_' > DEF # human vs Mallard duck # distant settings for human-aves alignment BLASTZ_H=2000 BLASTZ_Y=3400 BLASTZ_L=10000 BLASTZ_K=2200 BLASTZ_Q=/scratch/data/blastz/HoxD55.q # TARGET: Human hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Mallard duck SEQ2_DIR=/hive/data/genomes/anaPla1/anaPla1.2bit SEQ2_LEN=/hive/data/genomes/anaPla1/chrom.sizes SEQ2_CHUNK=10000000 SEQ2_LIMIT=500 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzAnaPla1.2013-06-27 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -qRepeats=windowmaskerSdust -syntenicNet \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -chainMinScore=5000 -chainLinearGap=loose > do.log 2>&1 # real 584m8.015s cat fb.hg19.chainAnaPla1Link.txt # 101670707 bases of 2897316137 (3.509%) in intersection # good to have recip best here time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 anaPla1 > rbest.log 2>&1 & # real 12m35.684s # and, for the swap mkdir /hive/data/genomes/anaPla1/bed/blastz.hg19.swap cd /hive/data/genomes/anaPla1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzAnaPla1.2013-06-27/DEF \ -swap -qRepeats=windowmaskerSdust -syntenicNet \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -chainMinScore=5000 -chainLinearGap=loose > swap.log 2>&1 & # real 14m11.895s cat fb.anaPla1.chainHg19Link.txt # 87894467 bases of 1069972754 (8.215%) in intersection # set sym link to indicate this is the lastz for this genome: cd /hive/data/genomes/anaPla1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # LASTZ Parrot amaVit1 (DONE - 2013-06-27 - Hiram) screen -S amaVit1 # screen to manage this job mkdir /hive/data/genomes/hg19/bed/lastzAmaVit1.2013-06-27 cd /hive/data/genomes/hg19/bed/lastzAmaVit1.2013-06-27 cat << '_EOF_' > DEF # human vs Parrot # distant settings for human-aves alignment BLASTZ_H=2000 BLASTZ_Y=3400 BLASTZ_L=10000 BLASTZ_K=2200 BLASTZ_Q=/scratch/data/blastz/HoxD55.q # TARGET: Human hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Parrot SEQ2_DIR=/hive/data/genomes/amaVit1/amaVit1.2bit SEQ2_LEN=/hive/data/genomes/amaVit1/chrom.sizes SEQ2_CHUNK=10000000 SEQ2_LIMIT=600 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzAmaVit1.2013-06-27 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -qRepeats=windowmaskerSdust -syntenicNet \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -chainMinScore=5000 -chainLinearGap=loose > do.log 2>&1 # real 710m51.907s cat fb.hg19.chainAmaVit1Link.txt # 95543127 bases of 2897316137 (3.298%) in intersection # good to have recip best here time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 amaVit1 > rbest.log 2>&1 & # about 21 minutes # and, for the swap mkdir /hive/data/genomes/amaVit1/bed/blastz.hg19.swap cd /hive/data/genomes/amaVit1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzAmaVit1.2013-06-27/DEF \ -swap -qRepeats=windowmaskerSdust -syntenicNet \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -chainMinScore=5000 -chainLinearGap=loose > swap.log 2>&1 & # real 74m7.469s cat fb.amaVit1.chainHg19Link.txt # 88086731 bases of 1128255752 (7.807%) in intersection # set sym link to indicate this is the lastz for this genome: cd /hive/data/genomes/amaVit1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # LASTZ Budgerigar melUnd1 (DONE - 2013-06-27 - Hiram) screen -S melUnd1 # screen to manage this job mkdir /hive/data/genomes/hg19/bed/lastzMelUnd1.2013-06-27 cd /hive/data/genomes/hg19/bed/lastzMelUnd1.2013-06-27 cat << '_EOF_' > DEF # human vs Budgerigar # distant settings for human-aves alignment BLASTZ_H=2000 BLASTZ_Y=3400 BLASTZ_L=10000 BLASTZ_K=2200 BLASTZ_Q=/scratch/data/blastz/HoxD55.q # TARGET: Human hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Budgerigar SEQ2_DIR=/hive/data/genomes/melUnd1/melUnd1.2bit SEQ2_LEN=/hive/data/genomes/melUnd1/chrom.sizes SEQ2_CHUNK=10000000 SEQ2_LIMIT=200 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzMelUnd1.2013-06-27 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -qRepeats=windowmaskerSdust -syntenicNet \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -chainMinScore=5000 -chainLinearGap=loose > do.log 2>&1 # forgot to capture the output in do.log # real 539m3.747s cat fb.hg19.chainMelUnd1Link.txt # 103624916 bases of 2897316137 (3.577%) in intersection # good to have recip best here time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 melUnd1 > rbest.log 2>&1 & # real 11m14.969s # and, for the swap mkdir /hive/data/genomes/melUnd1/bed/blastz.hg19.swap cd /hive/data/genomes/melUnd1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzMelUnd1.2013-06-27/DEF \ -swap -qRepeats=windowmaskerSdust -syntenicNet \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -chainMinScore=5000 -chainLinearGap=loose > swap.log 2>&1 & # real 12m1.732s cat fb.melUnd1.chainHg19Link.txt # 89509004 bases of 1086614815 (8.237%) in intersection # set sym link to indicate this is the lastz for this genome: cd /hive/data/genomes/melUnd1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # lastz alligator allMis1 (DONE - 2013-06-28 - Hiram) # establish a screen to control this job with a name to indicate what it is screen -S hg19AllMis1 mkdir /hive/data/genomes/hg19/bed/lastzAllMis1.2013-06-28 cd /hive/data/genomes/hg19/bed/lastzAllMis1.2013-06-28 cat << '_EOF_' > DEF # Human vs. alligator BLASTZ_Y=3400 BLASTZ_L=6000 BLASTZ_K=2200 BLASTZ_Q=/scratch/data/blastz/HoxD55.q # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=20000000 SEQ1_LAP=10000 # QUERY: alligator allMis1 SEQ2_DIR=/hive/data/genomes/allMis1/allMis1.2bit SEQ2_LEN=/hive/data/genomes/allMis1/chrom.sizes SEQ2_CHUNK=10000000 SEQ2_LAP=0 SEQ2_LIMIT=30 BASE=/hive/data/genomes/hg19/bed/lastzAllMis1.2013-06-28 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # adjust the SEQ2_LIMIT with -stop=partition to get a reasonable # number of jobs, 50,000 to something under 100,000 # when not present, SEQ2_LIMIT is a default 100 time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -chainMinScore=5000 -chainLinearGap=loose > do.log 2>&1 & # Elapsed time: 234m48s cat fb.hg19.chainAllMis1Link.txt # 205244552 bases of 2897316137 (7.084%) in intersection # set sym link to indicate this is the lastz for this genome: cd /hive/data/genomes/hg19/bed ln -s lastzAllMis1.2013-06-28 lastz.allMis1 # good to have recip best here time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 allMis1 > rbest.log 2>&1 & # real 12m4.813s # and for the swap mkdir /hive/data/genomes/allMis1/bed/blastz.hg19.swap cd /hive/data/genomes/allMis1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzAllMis1.2013-06-28/DEF \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -swap -chainMinScore=5000 -chainLinearGap=loose > swap.log 2>&1 & # forgot to get stderr in the swap.log # real 27m54.364s cat fb.allMis1.chainHg19Link.txt # 172919308 bases of 2129659933 (8.120%) in intersection # set sym link to indicate this is the lastz for this genome: cd /hive/data/genomes/allMis1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # LASTZ rock pigeon colLiv1 (DONE - 2013-06-29 - Hiram) screen -S colLiv1 # screen to manage this job mkdir /hive/data/genomes/hg19/bed/lastzColLiv1.2013-06-29 cd /hive/data/genomes/hg19/bed/lastzColLiv1.2013-06-29 cat << '_EOF_' > DEF # human vs rock pigeon # distant settings for human-aves alignment BLASTZ_H=2000 BLASTZ_Y=3400 BLASTZ_L=10000 BLASTZ_K=2200 BLASTZ_Q=/scratch/data/blastz/HoxD55.q # TARGET: Human hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: rock pigeon SEQ2_DIR=/hive/data/genomes/colLiv1/colLiv1.2bit SEQ2_LEN=/hive/data/genomes/colLiv1/chrom.sizes SEQ2_CHUNK=10000000 SEQ2_LIMIT=100 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzColLiv1.2013-06-29 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -qRepeats=windowmaskerSdust -syntenicNet \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -chainMinScore=5000 -chainLinearGap=loose > do.log 2>&1 # real 256m49.711s cat fb.hg19.chainColLiv1Link.txt # 106693699 bases of 2897316137 (3.683%) in intersection # good to have recip best here time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 colLiv1 > rbest.log 2>&1 & # real 6m40.777s # and, for the swap mkdir /hive/data/genomes/colLiv1/bed/blastz.hg19.swap cd /hive/data/genomes/colLiv1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzColLiv1.2013-06-29/DEF \ -swap -qRepeats=windowmaskerSdust -syntenicNet \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -chainMinScore=5000 -chainLinearGap=loose > swap.log 2>&1 & # real 10m6.608s cat fb.colLiv1.chainHg19Link.txt # 92036020 bases of 1086925875 (8.468%) in intersection # set sym link to indicate this is the lastz for this genome: cd /hive/data/genomes/colLiv1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # LASTZ collard flycatcher ficAlb2 (DONE - 2013-06-29 - Hiram) screen -S ficAlb2 # screen to manage this job mkdir /hive/data/genomes/hg19/bed/lastzFicAlb2.2013-06-29 cd /hive/data/genomes/hg19/bed/lastzFicAlb2.2013-06-29 cat << '_EOF_' > DEF # human vs collard flycatcher # distant settings for human-aves alignment BLASTZ_H=2000 BLASTZ_Y=3400 BLASTZ_L=10000 BLASTZ_K=2200 BLASTZ_Q=/scratch/data/blastz/HoxD55.q # TARGET: Human hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: collard flycatcher SEQ2_DIR=/hive/data/genomes/ficAlb2/ficAlb2.2bit SEQ2_LEN=/hive/data/genomes/ficAlb2/chrom.sizes SEQ2_CHUNK=10000000 SEQ2_LIMIT=150 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzFicAlb2.2013-06-29 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -qRepeats=windowmaskerSdust -syntenicNet \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -chainMinScore=5000 -chainLinearGap=loose > do.log 2>&1 # real 324m27.608s cat fb.hg19.chainFicAlb2Link.txt # 107639589 bases of 2897316137 (3.715%) in intersection # good to have recip best here time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 ficAlb2 > rbest.log 2>&1 & # real 12m23.760s # and, for the swap mkdir /hive/data/genomes/ficAlb2/bed/blastz.hg19.swap cd /hive/data/genomes/ficAlb2/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzFicAlb2.2013-06-29/DEF \ -swap -qRepeats=windowmaskerSdust -syntenicNet \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -chainMinScore=5000 -chainLinearGap=loose > swap.log 2>&1 & # real 11m28.655s cat fb.ficAlb2.chainHg19Link.txt # 95070548 bases of 1102325870 (8.625%) in intersection # set sym link to indicate this is the lastz for this genome: cd /hive/data/genomes/ficAlb2/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # LASTZ scarlet macaw araMac1 (DONE - 2013-06-29 - Hiram) screen -S araMac1 # screen to manage this job mkdir /hive/data/genomes/hg19/bed/lastzAraMac1.2013-06-29 cd /hive/data/genomes/hg19/bed/lastzAraMac1.2013-06-29 cat << '_EOF_' > DEF # human vs scarlet macaw # distant settings for human-aves alignment BLASTZ_H=2000 BLASTZ_Y=3400 BLASTZ_L=10000 BLASTZ_K=2200 BLASTZ_Q=/scratch/data/blastz/HoxD55.q # TARGET: Human hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: scarlet macaw SEQ2_DIR=/hive/data/genomes/araMac1/araMac1.2bit SEQ2_LEN=/hive/data/genomes/araMac1/chrom.sizes SEQ2_CHUNK=10000000 SEQ2_LIMIT=800 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzAraMac1.2013-06-29 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -qRepeats=windowmaskerSdust -syntenicNet \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -chainMinScore=5000 -chainLinearGap=loose > do.log 2>&1 # real 518m3.915s cat fb.hg19.chainAraMac1Link.txt # 84373956 bases of 2897316137 (2.912%) in intersection # good to have recip best here time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 araMac1 > rbest.log 2>&1 & # real 8m57.897s # and, for the swap mkdir /hive/data/genomes/araMac1/bed/blastz.hg19.swap cd /hive/data/genomes/araMac1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzAraMac1.2013-06-29/DEF \ -swap -qRepeats=windowmaskerSdust -syntenicNet \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -chainMinScore=5000 -chainLinearGap=loose > swap.log 2>&1 & # Elapsed time: 45m27s cat fb.araMac1.chainHg19Link.txt # 73025327 bases of 997636166 (7.320%) in intersection # set sym link to indicate this is the lastz for this genome: cd /hive/data/genomes/araMac1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # LASTZ chicken galGal4 (DONE - 2013-06-29 - Hiram) screen -S galGal4 # screen to manage this job mkdir /hive/data/genomes/hg19/bed/lastzGalGal4.2013-06-29 cd /hive/data/genomes/hg19/bed/lastzGalGal4.2013-06-29 cat << '_EOF_' > DEF # human vs chicken # distant settings for human-aves alignment BLASTZ_H=2000 BLASTZ_Y=3400 BLASTZ_L=10000 BLASTZ_K=2200 BLASTZ_Q=/scratch/data/blastz/HoxD55.q # TARGET: Human hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: chicken SEQ2_DIR=/hive/data/genomes/galGal4/galGal4.2bit SEQ2_LEN=/hive/data/genomes/galGal4/chrom.sizes SEQ2_CHUNK=10000000 SEQ2_LIMIT=100 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzGalGal4.2013-06-29 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -qRepeats=windowmaskerSdust -syntenicNet \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -chainMinScore=5000 -chainLinearGap=loose > do.log 2>&1 # real 170m30.547s cat fb.hg19.chainGalGal4Link.txt # 106728507 bases of 2897316137 (3.684%) in intersection # good to have recip best here time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 galGal4 > rbest.log 2>&1 & # real 13m39.680s # and, for the swap mkdir /hive/data/genomes/galGal4/bed/blastz.hg19.swap cd /hive/data/genomes/galGal4/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzGalGal4.2013-06-29/DEF \ -swap -qRepeats=windowmaskerSdust -syntenicNet \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -chainMinScore=5000 -chainLinearGap=loose > swap.log 2>&1 & # real 12m22.704s cat fb.galGal4.chainHg19Link.txt # 92856222 bases of 1032854810 (8.990%) in intersection # set sym link to indicate this is the lastz for this genome: cd /hive/data/genomes/galGal4/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # LASTZ tibetan ground jay pseHum1 (DONE - 2013-06-29 - Hiram) screen -S pseHum1 # screen to manage this job mkdir /hive/data/genomes/hg19/bed/lastzPseHum1.2013-06-29 cd /hive/data/genomes/hg19/bed/lastzPseHum1.2013-06-29 cat << '_EOF_' > DEF # human vs tibetan ground jay # distant settings for human-aves alignment BLASTZ_H=2000 BLASTZ_Y=3400 BLASTZ_L=10000 BLASTZ_K=2200 BLASTZ_Q=/scratch/data/blastz/HoxD55.q # TARGET: Human hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: tibetan ground jay SEQ2_DIR=/hive/data/genomes/pseHum1/pseHum1.2bit SEQ2_LEN=/hive/data/genomes/pseHum1/chrom.sizes SEQ2_CHUNK=10000000 SEQ2_LIMIT=40 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzPseHum1.2013-06-29 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -qRepeats=windowmaskerSdust -syntenicNet \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -chainMinScore=5000 -chainLinearGap=loose > do.log 2>&1 # real 275m15.275s cat fb.hg19.chainPseHum1Link.txt # 115368965 bases of 2897316137 (3.982%) in intersection # good to have recip best here time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 pseHum1 > rbest.log 2>&1 & # real 8m31.432s # and, for the swap mkdir /hive/data/genomes/pseHum1/bed/blastz.hg19.swap cd /hive/data/genomes/pseHum1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzPseHum1.2013-06-29/DEF \ -swap -qRepeats=windowmaskerSdust -syntenicNet \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -chainMinScore=5000 -chainLinearGap=loose > swap.log 2>&1 & # real 10m5.748s cat fb.pseHum1.chainHg19Link.txt # 99760063 bases of 1030030436 (9.685%) in intersection # set sym link to indicate this is the lastz for this genome: cd /hive/data/genomes/pseHum1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # Green monkey/chlSab1 Lastz run (DONE - 2013-06-30 - Hiram) screen -S chlSab1 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzChlSab1.2013-06-30 cd /hive/data/genomes/hg19/bed/lastzChlSab1.2013-06-30 cat << '_EOF_' > DEF # human vs green monkey # maximum M allowed with lastz is only 254 BLASTZ_M=254 BLASTZ_Q=/scratch/data/blastz/human_chimp.v2.q BLASTZ_O=600 BLASTZ_E=150 BLASTZ_K=4500 BLASTZ_Y=15000 BLASTZ_T=2 # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 SEQ1_IN_CONTIGS=0 # QUERY: green monkey ChlSab1 SEQ2_DIR=/hive/data/genomes/chlSab1/chlSab1.2bit SEQ2_LEN=/hive/data/genomes/chlSab1/chrom.sizes SEQ2_CHUNK=10000000 SEQ2_LAP=0 SEQ2_LIMIT=200 SEQ2_IN_CONTIGS=0 BASE=/hive/data/genomes/hg19/bed/lastzChlSab1.2013-06-30 TMPDIR=/scratch/tmp '_EOF_' # << emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=5000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -syntenicNet > do.log 2>&1 # real 211m59.612s cat fb.hg19.chainChlSab1Link.txt # 2504623210 bases of 2897316137 (86.446%) in intersection # filter with doRecipBest.pl doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 chlSab1 > rbest.log 2>&1 & # about 50 minutes # running the swap mkdir /hive/data/genomes/chlSab1/bed/blastz.hg19.swap cd /hive/data/genomes/chlSab1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzChlSab1.2013-06-30/DEF \ -chainMinScore=5000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -syntenicNet > swap.log 2>&1 # real 84m22.132s cat fb.chlSab1.chainHg19Link.txt # 2425423103 bases of 2752019208 (88.132%) in intersection ######################################################################### # crab-eating macaque/macFas5 Lastz run (DONE - 2013-06-30 - Hiram) screen -S macFas5 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzMacFas5.2013-06-30 cd /hive/data/genomes/hg19/bed/lastzMacFas5.2013-06-30 cat << '_EOF_' > DEF # human vs crab-eating macaque # maximum M allowed with lastz is only 254 BLASTZ_M=254 BLASTZ_Q=/scratch/data/blastz/human_chimp.v2.q BLASTZ_O=600 BLASTZ_E=150 BLASTZ_K=4500 BLASTZ_Y=15000 BLASTZ_T=2 # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 SEQ1_IN_CONTIGS=0 # QUERY: crab-eating macaque MacFas5 SEQ2_DIR=/hive/data/genomes/macFas5/macFas5.2bit SEQ2_LEN=/hive/data/genomes/macFas5/chrom.sizes SEQ2_CHUNK=10000000 SEQ2_LAP=0 SEQ2_LIMIT=200 SEQ2_IN_CONTIGS=0 BASE=/hive/data/genomes/hg19/bed/lastzMacFas5.2013-06-30 TMPDIR=/scratch/tmp '_EOF_' # << emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=5000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -syntenicNet > do.log 2>&1 # real 390m17.113s cat fb.hg19.chainMacFas5Link.txt # 2510997453 bases of 2897316137 (86.666%) in intersection cd /hive/data/genomes/hg19/bed ln -s lastzMacFas5.2013-06-30 lastz.macFas5 # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 macFas5 > rbest.log 2>&1 & # real 57m59.876s # running the swap mkdir /hive/data/genomes/macFas5/bed/blastz.hg19.swap cd /hive/data/genomes/macFas5/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzMacFas5.2013-06-30/DEF \ -chainMinScore=5000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -syntenicNet > swap.log 2>&1 # real 83m44.043s cat fb.macFas5.chainHg19Link.txt # 2432538960 bases of 2803866698 (86.757%) in intersection cd /hive/data/genomes/macFas5/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # squirrel monkey/saiBol1 Lastz run (DONE - 2013-06-30 - Hiram) screen -S saiBol1 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzSaiBol1.2013-06-30 cd /hive/data/genomes/hg19/bed/lastzSaiBol1.2013-06-30 cat << '_EOF_' > DEF # human vs squirrel monkey # maximum M allowed with lastz is only 254 BLASTZ_M=254 BLASTZ_Q=/scratch/data/blastz/human_chimp.v2.q BLASTZ_O=600 BLASTZ_E=150 BLASTZ_K=4500 BLASTZ_Y=15000 BLASTZ_T=2 # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 SEQ1_IN_CONTIGS=0 # QUERY: squirrel monkey SaiBol1 SEQ2_DIR=/hive/data/genomes/saiBol1/saiBol1.2bit SEQ2_LEN=/hive/data/genomes/saiBol1/chrom.sizes SEQ2_CHUNK=10000000 SEQ2_LAP=0 SEQ2_LIMIT=200 SEQ2_IN_CONTIGS=0 BASE=/hive/data/genomes/hg19/bed/lastzSaiBol1.2013-06-30 TMPDIR=/scratch/tmp '_EOF_' # << emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=5000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -syntenicNet > do.log 2>&1 # real 303m20.294s cat fb.hg19.chainSaiBol1Link.txt # 2016474757 bases of 2897316137 (69.598%) in intersection cd /hive/data/genomes/hg19/bed ln -s lastzSaiBol1.2013-06-30 lastz.saiBol1 # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 saiBol1 > rbest.log 2>&1 & # about 50 minutes # running the swap mkdir /hive/data/genomes/saiBol1/bed/blastz.hg19.swap cd /hive/data/genomes/saiBol1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzSaiBol1.2013-06-30/DEF \ -chainMinScore=5000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -syntenicNet > swap.log 2>&1 # real 73m49.157s cat fb.saiBol1.chainHg19Link.txt # 1952822096 bases of 2477131095 (78.834%) in intersection cd /hive/data/genomes/saiBol1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # bushbaby/otoGar3 Lastz run (DONE - 2013-07-01 - Hiram) screen -S otoGar3 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzOtoGar3.2013-07-01 cd /hive/data/genomes/hg19/bed/lastzOtoGar3.2013-07-01 cat << '_EOF_' > DEF # human vs bushbaby # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: bushbaby OtoGar3 SEQ2_DIR=/hive/data/genomes/otoGar3/otoGar3.2bit SEQ2_LEN=/hive/data/genomes/otoGar3/chrom.sizes SEQ2_CHUNK=10000000 SEQ2_LAP=0 SEQ2_LIMIT=200 BASE=/hive/data/genomes/hg19/bed/lastzOtoGar3.2013-07-01 TMPDIR=/scratch/tmp '_EOF_' # << emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -syntenicNet > do.log 2>&1 # real 395m56.229s # failed on chr19 chaining, finish on hgwdev, then continuing: # real 158m41.105s time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -continue=chainMerge -syntenicNet > chainMerge.log 2>&1 # real 128m1.356s cat fb.hg19.chainOtoGar3Link.txt # 1588586980 bases of 2897316137 (54.830%) in intersection # filter with doRecipBest.pl doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 otoGar3 > rbest.log 2>&1 & # about 1 hour # running the swap mkdir /hive/data/genomes/otoGar3/bed/blastz.hg19.swap cd /hive/data/genomes/otoGar3/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzOtoGar3.2013-07-01/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -syntenicNet > swap.log 2>&1 # real 123m31.066s cat fb.otoGar3.chainHg19Link.txt # 1534315855 bases of 2359530453 (65.026%) in intersection cd /hive/data/genomes/otoGar3/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # Chinese tree shrew/tupChi1 Lastz run (DONE - 2013-07-05 - Hiram) screen -S tupChi1 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzTupChi1.2013-07-05 cd /hive/data/genomes/hg19/bed/lastzTupChi1.2013-07-05 cat << '_EOF_' > DEF # human vs Chinese tree shrew # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Chinese tree shrew TupChi1 SEQ2_DIR=/hive/data/genomes/tupChi1/tupChi1.2bit SEQ2_LEN=/hive/data/genomes/tupChi1/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=300 BASE=/hive/data/genomes/hg19/bed/lastzTupChi1.2013-07-05 TMPDIR=/scratch/tmp '_EOF_' # << emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -syntenicNet > do.log 2>&1 # real 1334m42.001s cat fb.hg19.chainTupChi1Link.txt # 1348933101 bases of 2897316137 (46.558%) in intersection # filter with doRecipBest.pl doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 tupChi1 > rbest.log 2>&1 & # about 53 minutes # running the swap mkdir /hive/data/genomes/tupChi1/bed/blastz.hg19.swap cd /hive/data/genomes/tupChi1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzTupChi1.2013-07-05/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -syntenicNet > swap.log 2>&1 # real 118m8.921s cat fb.tupChi1.chainHg19Link.txt # 1360938926 bases of 2706389135 (50.286%) in intersection cd /hive/data/genomes/tupChi1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # brush-tailed rat/octDeg1 Lastz run (DONE - 2013-07-05 - Hiram) screen -S octDeg1 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzOctDeg1.2013-07-05 cd /hive/data/genomes/hg19/bed/lastzOctDeg1.2013-07-05 cat << '_EOF_' > DEF # human vs brush-tailed rat # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: brush-tailed rat OctDeg1 SEQ2_DIR=/hive/data/genomes/octDeg1/octDeg1.2bit SEQ2_LEN=/hive/data/genomes/octDeg1/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=60 BASE=/hive/data/genomes/hg19/bed/lastzOctDeg1.2013-07-05 TMPDIR=/scratch/tmp '_EOF_' # << emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -qRepeats=windowmaskerSdust \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -syntenicNet > do.log 2>&1 # real 781m31.547s # chaining failed on chr19, finish manually on hgwdev # real 156m20.850s time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -qRepeats=windowmaskerSdust \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -continue=chainMerge -syntenicNet > chainMerge.log 2>&1 # real 101m24.482s cat fb.hg19.chainOctDeg1Link.txt # 1199059384 bases of 2897316137 (41.385%) in intersection # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 octDeg1 > rbest.log 2>&1 & # about 47 minutes # running the swap mkdir /hive/data/genomes/octDeg1/bed/blastz.hg19.swap cd /hive/data/genomes/octDeg1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzOctDeg1.2013-07-05/DEF \ -qRepeats=windowmaskerSdust \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -syntenicNet > swap.log 2>&1 # real 105m14.455s cat fb.octDeg1.chainHg19Link.txt # 1202975420 bases of 2526254702 (47.619%) in intersection cd /hive/data/genomes/octDeg1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # aardvark/oryAfe1 Lastz run (DONE - 2013-07-07 - Hiram) screen -S oryAfe1 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzOryAfe1.2013-07-07 cd /hive/data/genomes/hg19/bed/lastzOryAfe1.2013-07-07 cat << '_EOF_' > DEF # human vs aardvark # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: aardvark OryAfe1 SEQ2_DIR=/hive/data/genomes/oryAfe1/oryAfe1.2bit SEQ2_LEN=/hive/data/genomes/oryAfe1/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=400 BASE=/hive/data/genomes/hg19/bed/lastzOryAfe1.2013-07-07 TMPDIR=/scratch/tmp '_EOF_' # << emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -syntenicNet > do.log 2>&1 # real 1825m38.733s # finish chr19 chain manually on hgwdev: time ./chain.csh hg19.2bit:chr19: chain/hg19.2bit:chr19:.chain # real 165m17.851s time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -continue=chainMerge -syntenicNet > chainMerge.log 2>&1 # real 121m35.148s cat fb.hg19.chainOryAfe1Link.txt # 1207247367 bases of 2897316137 (41.668%) in intersection # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 oryAfe1 > rbest.log 2>&1 & # real 60m56.697s # running the swap mkdir /hive/data/genomes/oryAfe1/bed/blastz.hg19.swap cd /hive/data/genomes/oryAfe1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzOryAfe1.2013-07-07/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -syntenicNet > swap.log 2>&1 # real 108m54.136s cat fb.oryAfe1.chainHg19Link.txt # 1162956488 bases of 3415340621 (34.051%) in intersection cd /hive/data/genomes/oryAfe1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # cape golden mole/chrAsi1 Lastz run (DONE - 2013-07-07 - Hiram) screen -S chrAsi1 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzChrAsi1.2013-07-07 cd /hive/data/genomes/hg19/bed/lastzChrAsi1.2013-07-07 cat << '_EOF_' > DEF # human vs cape golden mole # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: cape golden mole ChrAsi1 SEQ2_DIR=/hive/data/genomes/chrAsi1/chrAsi1.2bit SEQ2_LEN=/hive/data/genomes/chrAsi1/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=400 BASE=/hive/data/genomes/hg19/bed/lastzChrAsi1.2013-07-07 TMPDIR=/scratch/tmp '_EOF_' # << emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -syntenicNet > do.log 2>&1 # real 1869m30.259s # finish chr19 chain manually on hgwdev: time ./chain.csh hg19.2bit:chr19: chain/hg19.2bit:chr19:.chain # real 185m8.939s time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -continue=chainMerge -syntenicNet > chainMerge.log 2>&1 # real 113m20.012s cat fb.hg19.chainChrAsi1Link.txt # 991149670 bases of 2897316137 (34.209%) in intersection # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 chrAsi1 > rbest.log 2>&1 & # real 54m43.373s # running the swap mkdir /hive/data/genomes/chrAsi1/bed/blastz.hg19.swap cd /hive/data/genomes/chrAsi1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzChrAsi1.2013-07-07/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -syntenicNet > swap.log 2>&1 # real 104m51.152s cat fb.chrAsi1.chainHg19Link.txt # 976558929 bases of 3363564316 (29.033%) in intersection cd /hive/data/genomes/chrAsi1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # cape elephant shrew/eleEdw1 Lastz run (DONE - 2013-07-07 - Hiram) screen -S eleEdw1 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzEleEdw1.2013-07-07 cd /hive/data/genomes/hg19/bed/lastzEleEdw1.2013-07-07 cat << '_EOF_' > DEF # human vs cape elephant shrew # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: cape elephant shrew EleEdw1 SEQ2_DIR=/hive/data/genomes/eleEdw1/eleEdw1.2bit SEQ2_LEN=/hive/data/genomes/eleEdw1/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=200 BASE=/hive/data/genomes/hg19/bed/lastzEleEdw1.2013-07-07 TMPDIR=/scratch/tmp '_EOF_' # << emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -qRepeats=windowmaskerSdust -syntenicNet > do.log 2>&1 # real 2909m40.585s # spent a very long time chaining on encodek cat fb.hg19.chainEleEdw1Link.txt # 801844008 bases of 2897316137 (27.675%) in intersection # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 eleEdw1 > rbest.log 2>&1 & # real 48m43.836s # running the swap mkdir /hive/data/genomes/eleEdw1/bed/blastz.hg19.swap cd /hive/data/genomes/eleEdw1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzEleEdw1.2013-07-07/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ --qRepeats=windowmaskerSdust -syntenicNet > swap.log 2>&1 # real 82m15.401s cat fb.eleEdw1.chainHg19Link.txt # 803183596 bases of 3315871847 (24.222%) in intersection cd /hive/data/genomes/eleEdw1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # armadillo/dasNov3 Lastz run (DONE - 2013-07-07 - Hiram) screen -S dasNov3 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzDasNov3.2013-07-07 cd /hive/data/genomes/hg19/bed/lastzDasNov3.2013-07-07 cat << '_EOF_' > DEF # human vs armadillo # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: armadillo DasNov3 SEQ2_DIR=/hive/data/genomes/dasNov3/dasNov3.2bit SEQ2_LEN=/hive/data/genomes/dasNov3/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=300 BASE=/hive/data/genomes/hg19/bed/lastzDasNov3.2013-07-07 TMPDIR=/scratch/tmp '_EOF_' # << emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -syntenicNet > do.log 2>&1 # real 1779m53.947s # finish chr19 chain manually on hgwdev: time ./chain.csh hg19.2bit:chr19: chain/hg19.2bit:chr19:.chain # real 266m24.746s time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -continue=chainMerge -syntenicNet > chainMerge.log 2>&1 # real 133m23.375s cat fb.hg19.chainDasNov3Link.txt # 1349317168 bases of 2897316137 (46.571%) in intersection # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 dasNov3 > rbest.log 2>&1 & # real 62m32.248s # running the swap mkdir /hive/data/genomes/dasNov3/bed/blastz.hg19.swap cd /hive/data/genomes/dasNov3/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzDasNov3.2013-07-07/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -syntenicNet > swap.log 2>&1 # real 143m3.205s cat fb.dasNov3.chainHg19Link.txt # 1382137077 bases of 3299882059 (41.884%) in intersection cd /hive/data/genomes/dasNov3/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # hedgehog/eriEur2 Lastz run (DONE - 2013-07-08 - Hiram) screen -S eriEur2 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzEriEur2.2013-07-08 cd /hive/data/genomes/hg19/bed/lastzEriEur2.2013-07-08 cat << '_EOF_' > DEF # human vs hedgehog # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: hedgehog EriEur2 SEQ2_DIR=/hive/data/genomes/eriEur2/eriEur2.2bit SEQ2_LEN=/hive/data/genomes/eriEur2/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=30 BASE=/hive/data/genomes/hg19/bed/lastzEriEur2.2013-07-08 TMPDIR=/scratch/tmp '_EOF_' # << emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -syntenicNet > do.log 2>&1 # real 825m44.398s cat fb.hg19.chainEriEur2Link.txt # 757625719 bases of 2897316137 (26.149%) in intersection # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 eriEur2 > rbest.log 2>&1 & # real 58m0.319s # running the swap mkdir /hive/data/genomes/eriEur2/bed/blastz.hg19.swap cd /hive/data/genomes/eriEur2/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzEriEur2.2013-07-08/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -syntenicNet > swap.log 2>&1 # real 98m18.554s cat fb.eriEur2.chainHg19Link.txt # 729081383 bases of 2333073535 (31.250%) in intersection cd /hive/data/genomes/eriEur2/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # tasmanian devil/sarHar1 Lastz run (DONE - 2013-07-09 - Hiram) screen -S sarHar1 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzSarHar1.2013-07-09 cd /hive/data/genomes/hg19/bed/lastzSarHar1.2013-07-09 cat << '_EOF_' > DEF # human vs tasmanian devil # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: tasmanian devil SarHar1 SEQ2_DIR=/hive/data/genomes/sarHar1/sarHar1.2bit SEQ2_LEN=/hive/data/genomes/sarHar1/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=250 BASE=/hive/data/genomes/hg19/bed/lastzSarHar1.2013-07-09 TMPDIR=/scratch/tmp '_EOF_' # << emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -syntenicNet > do.log 2>&1 # real 1605m41.445s cat fb.hg19.chainSarHar1Link.txt # 214795886 bases of 2897316137 (7.414%) in intersection # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 sarHar1 > rbest.log 2>&1 & # real 13m23.565s # running the swap mkdir /hive/data/genomes/sarHar1/bed/blastz.hg19.swap cd /hive/data/genomes/sarHar1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzSarHar1.2013-07-09/DEF \ -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -syntenicNet > swap.log 2>&1 # real 35m56.282s cat fb.sarHar1.chainHg19Link.txt # 203364336 bases of 2931539702 (6.937%) in intersection cd /hive/data/genomes/sarHar1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # wallaby/macEug2 Lastz run (DONE - 2013-07-09 - Hiram) screen -S macEug2 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzMacEug2.2013-07-09 cd /hive/data/genomes/hg19/bed/lastzMacEug2.2013-07-09 cat << '_EOF_' > DEF # human vs wallaby # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: wallaby MacEug2 SEQ2_DIR=/hive/data/genomes/macEug2/macEug2.2bit SEQ2_LEN=/hive/data/genomes/macEug2/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=1000 BASE=/hive/data/genomes/hg19/bed/lastzMacEug2.2013-07-09 TMPDIR=/scratch/tmp '_EOF_' # << emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -syntenicNet > do.log 2>&1 # real 2464m16.805s # chaining chr19 on hgwdev # real 158m29.798s time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -continue=chainMerge -syntenicNet > chainMerge.log 2>&1 # real 56m29.109s cat fb.hg19.chainMacEug2Link.txt # 189299569 bases of 2897316137 (6.534%) in intersection # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 macEug2 > rbest.log 2>&1 & # real 18m25.454s # running the swap mkdir /hive/data/genomes/macEug2/bed/blastz.hg19.swap cd /hive/data/genomes/macEug2/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzMacEug2.2013-07-09/DEF \ -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -syntenicNet > swap.log 2>&1 # real 176m21.822s cat fb.macEug2.chainHg19Link.txt # 183339665 bases of 2536076957 (7.229%) in intersection cd /hive/data/genomes/macEug2/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # manatee/triMan1 Lastz run (DONE - 2013-07-09 - Hiram) screen -S triMan1 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzTriMan1.2013-07-09 cd /hive/data/genomes/hg19/bed/lastzTriMan1.2013-07-09 cat << '_EOF_' > DEF # human vs manatee # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: manatee TriMan1 SEQ2_DIR=/hive/data/genomes/triMan1/triMan1.2bit SEQ2_LEN=/hive/data/genomes/triMan1/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=50 BASE=/hive/data/genomes/hg19/bed/lastzTriMan1.2013-07-09 TMPDIR=/scratch/tmp '_EOF_' # << emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -syntenicNet > do.log 2>&1 # real 1479m33.445s # chaining chr19 finished manually - running Wed Jul 10 14:41:50 PDT 2013 # real 278m44.449s time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -continue=chainMerge -syntenicNet > chainMerge.log 2>&1 # real 135m36.963s cat fb.hg19.chainTriMan1Link.txt # 1349583595 bases of 2897316137 (46.580%) in intersection # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 triMan1 > rbest.log 2>&1 & # real 54m56.531s # running the swap mkdir /hive/data/genomes/triMan1/bed/blastz.hg19.swap cd /hive/data/genomes/triMan1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzTriMan1.2013-07-09/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -syntenicNet > swap.log 2>&1 # real 130m17.024s cat fb.triMan1.chainHg19Link.txt # 1299051630 bases of 2769099677 (46.912%) in intersection cd /hive/data/genomes/triMan1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # star-nosed mole/conCri1 Lastz run (DONE - 2013-07-09 - Hiram) screen -S conCri1 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzConCri1.2013-07-09 cd /hive/data/genomes/hg19/bed/lastzConCri1.2013-07-09 cat << '_EOF_' > DEF # human vs star-nosed mole # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: star-nosed mole ConCri1 SEQ2_DIR=/hive/data/genomes/conCri1/conCri1.2bit SEQ2_LEN=/hive/data/genomes/conCri1/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=10 BASE=/hive/data/genomes/hg19/bed/lastzConCri1.2013-07-09 TMPDIR=/scratch/tmp '_EOF_' # << emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -syntenicNet > do.log 2>&1 # real 1470m34.378s cat fb.hg19.chainConCri1Link.txt # 1072983049 bases of 2897316137 (37.034%) in intersection # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 conCri1 > rbest.log 2>&1 & # real 56m41.559s # running the swap mkdir /hive/data/genomes/conCri1/bed/blastz.hg19.swap cd /hive/data/genomes/conCri1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzConCri1.2013-07-09/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -syntenicNet > swap.log 2>&1 # real 93m49.833s cat fb.conCri1.chainHg19Link.txt # 1026037326 bases of 1682542007 (60.981%) in intersection cd /hive/data/genomes/conCri1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # weddell seal/lepWed1 Lastz run (DONE - 2013-07-11 - Hiram) screen -S lepWed1 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzLepWed1.2013-07-11 cd /hive/data/genomes/hg19/bed/lastzLepWed1.2013-07-11 cat << '_EOF_' > DEF # human vs weddell seal # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: weddell seal LepWed1 SEQ2_DIR=/hive/data/genomes/lepWed1/lepWed1.2bit SEQ2_LEN=/hive/data/genomes/lepWed1/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=100 BASE=/hive/data/genomes/hg19/bed/lastzLepWed1.2013-07-11 TMPDIR=/scratch/tmp '_EOF_' # << emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -syntenicNet > do.log 2>&1 # real 1195m29.817s cat fb.hg19.chainLepWed1Link.txt # 1518895407 bases of 2897316137 (52.424%) in intersection # set symlink to indicate this is the version to use cd /hive/data/genomes/hg19/bed ln -s lastzLepWed1.2013-07-11 lastz.lepWed1 # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 lepWed1 > rbest.log 2>&1 & # real 59m0.523s # running the swap mkdir /hive/data/genomes/lepWed1/bed/blastz.hg19.swap cd /hive/data/genomes/lepWed1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzLepWed1.2013-07-11/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -syntenicNet > swap.log 2>&1 # real 100m46.082s cat fb.lepWed1.chainHg19Link.txt # 1457672837 bases of 2223164129 (65.567%) in intersection cd /hive/data/genomes/lepWed1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # LASTZ Cat felCat5 (DONE - 2014-03-12 - PAULINE) mkdir /hive/data/genomes/hg19/bed/lastzfelCat5.2014-02-26 cd /hive/data/genomes/hg19/bed/lastzfelCat5.2014-02-26 screen -S hg19felCat5 cat << '_EOF_' > DEF # human vs Cat BLASTZ=/cluster/bin/penn/lastz-distrib-1.03.52/bin/lastz # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=20000000 SEQ1_LAP=10000 SEQ1_LIMIT=5 # QUERY: Cat felCat5 SEQ2_DIR=/hive/data/genomes/felCat5/felCat5.2bit SEQ2_LEN=/hive/data/genomes/felCat5/chrom.sizes SEQ2_CHUNK=10000000 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzfelCat5.2014-02-26 TMPDIR=/dev/shm '_EOF_' # << happy emacs bash doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -syntenicNet \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -chainMinScore=3000 -chainLinearGap=medium >& do.log # Elapsed time: 1396m22s - busy cluster cat fb.hg19.chainfelCat5Link.txt # 1519102826 bases of 2897316137 (52.431%) in intersection # running the swap mkdir /hive/data/genomes/felCat5/bed/blastz.hg19.swap cd /hive/data/genomes/felCat5/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzfelCat5.2014-02-26/DEF \ -syntenicNet -swap \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -chainMinScore=3000 -chainLinearGap=medium >& swap.log cat fb.felCat5.chainHg19Link.txt # 1453639480 bases of 2364296207 (61.483%) in intersection cd /hive/data/genomes/felCat5/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # ferret/musFur1 Lastz run (DONE - 2013-07-11 - Hiram) screen -S musFur1 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzMusFur1.2013-07-11 cd /hive/data/genomes/hg19/bed/lastzMusFur1.2013-07-11 cat << '_EOF_' > DEF # human vs ferret # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: ferret MusFur1 SEQ2_DIR=/hive/data/genomes/musFur1/musFur1.2bit SEQ2_LEN=/hive/data/genomes/musFur1/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=50 BASE=/hive/data/genomes/hg19/bed/lastzMusFur1.2013-07-11 TMPDIR=/scratch/tmp '_EOF_' # << emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -syntenicNet > do.log 2>&1 # real 1157m55.155s cat fb.hg19.chainMusFur1Link.txt # 1477435563 bases of 2897316137 (50.993%) in intersection # create symLink to indicate this is the version to use cd /hive/data/genomes/hg19/bed ln -s lastzMusFur1.2013-07-11 lastz.musFur1 # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 musFur1 > rbest.log 2>&1 & # real 71m34.431s # running the swap mkdir /hive/data/genomes/musFur1/bed/blastz.hg19.swap cd /hive/data/genomes/musFur1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzMusFur1.2013-07-11/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -syntenicNet > swap.log 2>&1 # real 113m35.370s cat fb.musFur1.chainHg19Link.txt # 1419772812 bases of 2277906570 (62.328%) in intersection cd /hive/data/genomes/musFur1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # bactrian camel/camFer1 Lastz run (DONE - 2013-07-12 - Hiram) screen -S camFer1 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzCamFer1.2013-07-12 cd /hive/data/genomes/hg19/bed/lastzCamFer1.2013-07-12 cat << '_EOF_' > DEF # human vs bactrian camel # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: bactrian camel CamFer1 SEQ2_DIR=/hive/data/genomes/camFer1/camFer1.2bit SEQ2_LEN=/hive/data/genomes/camFer1/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=60 BASE=/hive/data/genomes/hg19/bed/lastzCamFer1.2013-07-12 TMPDIR=/scratch/tmp '_EOF_' # << emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -syntenicNet > do.log 2>&1 # real 839m17.894s cat fb.hg19.chainCamFer1Link.txt # 1460794182 bases of 2897316137 (50.419%) in intersection # create symLink to indicate this is the version to use cd /hive/data/genomes/hg19/bed ln -s lastzCamFer1.2013-07-12 lastz.camFer1 # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 camFer1 > rbest.log 2>&1 & # real 51m50.739s # running the swap mkdir /hive/data/genomes/camFer1/bed/blastz.hg19.swap cd /hive/data/genomes/camFer1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzCamFer1.2013-07-12/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -syntenicNet > swap.log 2>&1 # real 97m20.985s cat fb.camFer1.chainHg19Link.txt # 1413721651 bases of 1985442806 (71.204%) in intersection cd /hive/data/genomes/camFer1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # LASTZ dolphin turTru2 Lastz run (DONE - 2013-08-19 braney) screen -S turTru2 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzTurTru2.2013-08-19 cd /hive/data/genomes/hg19/bed/lastzTurTru2.2013-08-19 cat << '_EOF_' > DEF # human vs dolphin # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: dolphin turTru2 SEQ2_DIR=/hive/data/genomes/turTru2/turTru2.2bit SEQ2_LEN=/hive/data/genomes/turTru2/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=20 BASE=/hive/data/genomes/hg19/bed/lastzTurTru2.2013-08-19 TMPDIR=/scratch/tmp '_EOF_' # << emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -noDbNameCheck -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -syntenicNet > do.log 2>&1 # real 718m18.715s cat fb.hg19.chainTurTru2Link.txt # 1482195003 bases of 2897316137 (51.158%) in intersection # create symLink to indicate this is the version to use cd /hive/data/genomes/hg19/bed ln -s lastzTurTru2.2013-08-19 lastz.turTru2 cd /hive/data/genomes/hg19/bed/lastzTurTru2.2013-08-19 # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 turTru2 > rbest.log 2>&1 & # real 55m27.877s # running the swap mkdir /hive/data/genomes/turTru2/bed/blastz.hg19.swap cd /hive/data/genomes/turTru2/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzTurTru2.2013-08-19/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -syntenicNet > swap.log 2>&1 # real 262m24.138s cat fb.turTru2.chainHg19Link.txt # 1431257975 bases of 2332402443 (61.364%) in intersection cd /hive/data/genomes/turTru2/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # killer whale/orcOrc1 Lastz run (DONE - 2013-07-31 braney) screen -S orcOrc1 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzOrcOrc1.2013-07-31 cd /hive/data/genomes/hg19/bed/lastzOrcOrc1.2013-07-31 cat << '_EOF_' > DEF # human vs killer whale # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: killer whale OrcOrc1 SEQ2_DIR=/hive/data/genomes/orcOrc1/orcOrc1.2bit SEQ2_LEN=/hive/data/genomes/orcOrc1/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=20 BASE=/hive/data/genomes/hg19/bed/lastzOrcOrc1.2013-07-31 TMPDIR=/scratch/tmp '_EOF_' # << emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -noDbNameCheck -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -syntenicNet > do.log 2>&1 # real 471m39.469s # real 136m25.890s cat fb.hg19.chainOrcOrc1Link.txt # 1508701710 bases of 2897316137 (52.072%) in intersection # create symLink to indicate this is the version to use cd /hive/data/genomes/hg19/bed ln -s lastzOrcOrc1.2013-07-31 lastz.orcOrc1 time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -continue=syntenicNet -stop=syntenicNet \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -syntenicNet > synNet.log 2>&1 # real 47m15.614s cd /hive/data/genomes/hg19/bed/lastzOrcOrc1.2013-07-31 # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 orcOrc1 > rbest.log 2>&1 & # real 55m27.877s # running the swap mkdir /hive/data/genomes/orcOrc1/bed/blastz.hg19.swap cd /hive/data/genomes/orcOrc1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzOrcOrc1.2013-07-31/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -syntenicNet > swap.log 2>&1 # real 103m7.570s cat fb.orcOrc1.chainHg19Link.txt # 1446385023 bases of 2249582127 (64.296%) in intersection cd /hive/data/genomes/orcOrc1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # pacific walrus/odoRosDiv1 Lastz run (DONE - 2013-07-12 - Hiram) screen -S odoRosDiv1 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzOdoRosDiv1.2013-07-12 cd /hive/data/genomes/hg19/bed/lastzOdoRosDiv1.2013-07-12 cat << '_EOF_' > DEF # human vs pacific walrus # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: pacific walrus OdoRosDiv1 SEQ2_DIR=/hive/data/genomes/odoRosDiv1/odoRosDiv1.2bit SEQ2_LEN=/hive/data/genomes/odoRosDiv1/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=20 BASE=/hive/data/genomes/hg19/bed/lastzOdoRosDiv1.2013-07-12 TMPDIR=/scratch/tmp '_EOF_' # << emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -noDbNameCheck -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -syntenicNet > do.log 2>&1 # real 916m24.264s cat fb.hg19.chainOdoRosDiv1Link.txt # 1551759078 bases of 2897316137 (53.559%) in intersection # create symLink to indicate this is the version to use cd /hive/data/genomes/hg19/bed ln -s lastzOdoRosDiv1.2013-07-12 lastz.odoRosDiv1 # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 odoRosDiv1 > rbest.log 2>&1 & # real 55m27.877s # running the swap mkdir /hive/data/genomes/odoRosDiv1/bed/blastz.hg19.swap cd /hive/data/genomes/odoRosDiv1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzOdoRosDiv1.2013-07-12/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -noDbNameCheck -syntenicNet > swap.log 2>&1 # real 101m51.331s cat fb.odoRosDiv1.chainHg19Link.txt # 1490487100 bases of 2300235512 (64.797%) in intersection cd /hive/data/genomes/odoRosDiv1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # LASTZ bonobo PanPan1 (DONE - 2013-07-15 - Hiram) screen -S panPan1 # use screen to manage this longish running job mkdir /hive/data/genomes/hg19/bed/lastzPanPan1.2013-07-15 cd /hive/data/genomes/hg19/bed/lastzPanPan1.2013-07-15 cat << '_EOF_' > DEF # human vs bonobo # maximum M allowed with lastz is only 254 BLASTZ_M=254 BLASTZ_Q=/scratch/data/blastz/human_chimp.v2.q BLASTZ_O=600 BLASTZ_E=150 BLASTZ_K=4500 BLASTZ_Y=15000 BLASTZ_T=2 # TARGET: Human hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: bonobo panPan1 SEQ2_DIR=/hive/data/genomes/panPan1/panPan1.2bit SEQ2_LEN=/hive/data/genomes/panPan1/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=100 BASE=/hive/data/genomes/hg19/bed/lastzPanPan1.2013-07-15 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # establish a screen to control this job screen -S lastz time doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -syntenicNet -chainMinScore=5000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek \ -bigClusterHub=swarm > do.log 2>&1 # real 678m8.188s cat fb.hg19.chainPanPan1Link.txt # 2748426979 bases of 2897316137 (94.861%) in intersection cd /hive/data/genomes/hg19/bed ln -s lastzPanPan1.2013-07-15 lastz.panPan1 # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 panPan1 > rbest.log 2>&1 & > swap.log 2>&1 # real 59m24.151s # running the swap - DONE - 2013-03-26 mkdir /hive/data/genomes/panPan1/bed/blastz.hg19.swap cd /hive/data/genomes/panPan1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzPanPan1.2013-07-15/DEF \ -swap -syntenicNet \ -chainMinScore=5000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ > swap.log 2>&1 # real 86m18.735s cat fb.panPan1.chainHg19Link.txt # 2657982214 bases of 2725905606 (97.508%) in intersection ############################################################################## # LASTZ coelacanth LatCha1 (DONE - 2013-07-15 - Hiram) screen -S latCha1 # use screen to manage this longish running job mkdir /hive/data/genomes/hg19/bed/lastzLatCha1.2013-07-15 cd /hive/data/genomes/hg19/bed/lastzLatCha1.2013-07-15 cat << '_EOF_' > DEF # human vs coelacanth BLASTZ_Y=3400 BLASTZ_L=6000 BLASTZ_K=2200 BLASTZ_M=50 BLASTZ_Q=/scratch/data/blastz/HoxD55.q # TARGET: Human hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: coelacanth latCha1 SEQ2_DIR=/hive/data/genomes/latCha1/latCha1.2bit SEQ2_LEN=/hive/data/genomes/latCha1/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=100 BASE=/hive/data/genomes/hg19/bed/lastzLatCha1.2013-07-15 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # establish a screen to control this job screen -S lastz time doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -syntenicNet -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=encodek -qRepeats=windowmaskerSdust \ -bigClusterHub=swarm > do.log 2>&1 # real 1029m56.443s cat fb.hg19.chainLatCha1Link.txt # 79653843 bases of 2897316137 (2.749%) in intersection cd /hive/data/genomes/hg19/bed ln -s lastzLatCha1.2013-07-15 lastz.latCha1 # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 latCha1 > rbest.log 2>&1 & # real 17m52.001s # running the swap - DONE - 2013-03-26 mkdir /hive/data/genomes/latCha1/bed/blastz.hg19.swap cd /hive/data/genomes/latCha1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzLatCha1.2013-07-15/DEF \ -swap -syntenicNet \ -chainMinScore=5000 -chainLinearGap=loose -qRepeats=windowmaskerSdust \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ > swap.log 2>&1 # real 26m10.847s cat fb.latCha1.chainHg19Link.txt # 74647837 bases of 2183592768 (3.419%) in intersection ############################################################################## # lesser Egyptian jerboa/jacJac1 Lastz run (DONE - 2013-07-15 - Hiram) screen -S jacJac1 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzJacJac1.2013-07-15 cd /hive/data/genomes/hg19/bed/lastzJacJac1.2013-07-15 cat << '_EOF_' > DEF # human vs lesser Egyptian jerboa # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: lesser Egyptian jerboa JacJac1 SEQ2_DIR=/hive/data/genomes/jacJac1/jacJac1.2bit SEQ2_LEN=/hive/data/genomes/jacJac1/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=90 BASE=/hive/data/genomes/hg19/bed/lastzJacJac1.2013-07-15 TMPDIR=/scratch/tmp '_EOF_' # << emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -syntenicNet > do.log 2>&1 # real 2272m59.043s cat fb.hg19.chainJacJac1Link.txt # 1017128997 bases of 2897316137 (35.106%) in intersection # create symLink to indicate this is the version to use cd /hive/data/genomes/hg19/bed ln -s lastzJacJac1.2013-07-15 lastz.jacJac1 # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 jacJac1 > rbest.log 2>&1 & # real 52m50.154s # running the swap mkdir /hive/data/genomes/jacJac1/bed/blastz.hg19.swap cd /hive/data/genomes/jacJac1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzJacJac1.2013-07-15/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -syntenicNet > swap.log 2>&1 # real 99m45.457s cat fb.jacJac1.chainHg19Link.txt # 993457205 bases of 2470259869 (40.217%) in intersection cd /hive/data/genomes/jacJac1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # Tibetan antelope/panHod1 Lastz run (DONE - 2013-07-15 - Hiram) screen -S panHod1 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzPanHod1.2013-07-15 cd /hive/data/genomes/hg19/bed/lastzPanHod1.2013-07-15 cat << '_EOF_' > DEF # human vs Tibetan antelope # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Tibetan antelope PanHod1 SEQ2_DIR=/hive/data/genomes/panHod1/panHod1.2bit SEQ2_LEN=/hive/data/genomes/panHod1/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=90 BASE=/hive/data/genomes/hg19/bed/lastzPanHod1.2013-07-15 TMPDIR=/scratch/tmp '_EOF_' # << emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -syntenicNet > do.log 2>&1 # real 1458m9.769s # chaining chr19 on hgwdev # real 137m25.764s time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -continue=chainMerge -syntenicNet > chainMerge.log 2>&1 # real 120m53.333s cat fb.hg19.chainPanHod1Link.txt # 1357769091 bases of 2897316137 (46.863%) in intersection # create symLink to indicate this is the version to use cd /hive/data/genomes/hg19/bed ln -s lastzPanHod1.2013-07-15 lastz.panHod1 # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 panHod1 > rbest.log 2>&1 & # real 78m31.403s # running the swap mkdir /hive/data/genomes/panHod1/bed/blastz.hg19.swap cd /hive/data/genomes/panHod1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzPanHod1.2013-07-15/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -syntenicNet > swap.log 2>&1 # real 128m19.578s cat fb.panHod1.chainHg19Link.txt # 1315762168 bases of 2507986438 (52.463%) in intersection cd /hive/data/genomes/panHod1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # domestic goat/capHir1 Lastz run (DONE - 2013-07-15 - Hiram) screen -S capHir1 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzCapHir1.2013-07-15 cd /hive/data/genomes/hg19/bed/lastzCapHir1.2013-07-15 cat << '_EOF_' > DEF # human vs domestic goat # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: domestic goat CapHir1 SEQ2_DIR=/hive/data/genomes/capHir1/capHir1.2bit SEQ2_LEN=/hive/data/genomes/capHir1/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=400 BASE=/hive/data/genomes/hg19/bed/lastzCapHir1.2013-07-15 TMPDIR=/scratch/tmp '_EOF_' # << emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -syntenicNet > do.log 2>&1 # real 1689m8.583s # chaining chr19 on hgwdev # real 181m55.026s time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -continue=chainMerge -syntenicNet > chainMerge.log 2>&1 # real 131m41.556s cat fb.hg19.chainCapHir1Link.txt # 1347204011 bases of 2897316137 (46.498%) in intersection # create symLink to indicate this is the version to use cd /hive/data/genomes/hg19/bed ln -s lastzCapHir1.2013-07-15 lastz.capHir1 # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 capHir1 > rbest.log 2>&1 & # real 107m2.379s # running the swap mkdir /hive/data/genomes/capHir1/bed/blastz.hg19.swap cd /hive/data/genomes/capHir1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzCapHir1.2013-07-15/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -syntenicNet > swap.log 2>&1 # real 153m53.873s cat fb.capHir1.chainHg19Link.txt # 1313252392 bases of 2495939845 (52.616%) in intersection cd /hive/data/genomes/capHir1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # naked mole rat/hetGla2 Lastz run (DONE - 2013-07-15 - Hiram) screen -S hetGla2 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzHetGla2.2013-07-15 cd /hive/data/genomes/hg19/bed/lastzHetGla2.2013-07-15 cat << '_EOF_' > DEF # human vs naked mole rat # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: naked mole rat HetGla2 SEQ2_DIR=/hive/data/genomes/hetGla2/hetGla2.2bit SEQ2_LEN=/hive/data/genomes/hetGla2/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=30 BASE=/hive/data/genomes/hg19/bed/lastzHetGla2.2013-07-15 TMPDIR=/scratch/tmp '_EOF_' # << emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -syntenicNet > do.log 2>&1 # real 1560m27.406s # chaining chr19 on hgwdev # real 178m51.443s time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -continue=chainMerge -syntenicNet > chainMerge.log 2>&1 # real 138m13.867s cat fb.hg19.chainHetGla2Link.txt # 1379118490 bases of 2897316137 (47.600%) in intersection # create symLink to indicate this is the version to use cd /hive/data/genomes/hg19/bed ln -s lastzHetGla2.2013-07-15 lastz.hetGla2 # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 hetGla2 > rbest.log 2>&1 & # real 86m23.630s # running the swap mkdir /hive/data/genomes/hetGla2/bed/blastz.hg19.swap cd /hive/data/genomes/hetGla2/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzHetGla2.2013-07-15/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=encodek -bigClusterHub=swarm \ -syntenicNet > swap.log 2>&1 # real 151m11.917s cat fb.hetGla2.chainHg19Link.txt # 1361506063 bases of 2314771103 (58.818%) in intersection cd /hive/data/genomes/hetGla2/bed ln -s blastz.hg19.swap lastz.hg19 ############################################################################## # DBSNP B138 / SNP138 (DONE 3/28/14) # Redone from scratch 3/28/14 after finding that the FTP files available when b138 # was announced were outdated and were replaced a few weeks after the announcement. # 1.2million SNPs were dropped because they were not in the fasta files. Next time, # check dates and pay more attention to line count of snp138Errors.bed.gz. (#12975) # The script ran uneventfully. # Partially redone 8/19/13, 10/21/13 to fix allele freq script bugs. # Redmine #11438 mkdir -p /hive/data/outside/dbSNP/138/human cd /hive/data/outside/dbSNP/138/human # Look at the directory listing of ftp://ftp.ncbi.nih.gov/snp/database/organism_data/ # to find the subdir name to use as orgDir below (human_9606 in this case). # Then click into that directory and look for file names like # b(1[0-9][0-9])_*_([0-9]+_[0-9]) # -- use the first num for build and the second num_num for buildAssembly. # jkStuff/liftContigs.lft maps NCBI contig names to chroms; use that for liftUp. # # Some trial and error was required to get the config.ra just right -- # the b* filenames don't include buildAssembly! # patch contigs needed to be filtered out: cat > config.ra <<EOF db hg19 orgDir human_9606 build 138 buildAssembly liftUp /hive/data/genomes/hg19/jkStuff/liftContigs.lft refAssemblyLabel GRCh37.p10 EOF ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra >& do.log & tail -f do.log # It fails with a list of unliftable contigs -- look at dbSnpContigsNotInUcsc.txt # to make sure they're all patch contigs as expected, then start over, ignoring those: cp dbSnpContigsNotInUcsc.txt patchContigs.txt cat >> config.ra <<EOF ignoreDbSnpContigsFile patchContigs.txt EOF ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra >& do.log & tail -f do.log # After final snpNcbiToUcsc tweaking: ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra -continue translate \ >>& do.log & tail -f do.log # In the load step, hgLoadSqlTab of snp138Seq failed due to duplicate sequences. # snp138Seq.tab is constructed in the translate step. It would be good to # enhance hgLoadSeq to drop duplicates. In the meantime, I if(0)'d the parts # of load.csh that completed and ran it again: ./load.csh >> & do.log & tail -f do.log # all done! # In MLQ #, a user reported missing SNP IDs and I suspect that some of the # losses might have something to do with IDs mapped to patch contigs losing # the primary reference contigs. There are ~2500 rs's in the first SNPContigLoc # that have patch, but not primary mappings. Next time do this early in the # process in case they haven't fixed they pipeline: # Look for reference assembly mappings that may have been lost due to patch mappings (?) cd /hive/data/outside/dbSNP/138/human/data # Make lists of primary and patch contig IDs, prefixed by "^" because we'll grep # for those words at the beginning of lines in the next step. zcat b138_ContigInfo.bcp.gz | g GRCh37 | g -v PATCHES \ | cut -f 1 | sed -re 's/^/^/' \ > primaryContigIds.txt zcat b138_ContigInfo.bcp.gz | g -w PATCHES \ | cut -f 1 | sed -re 's/^/^/' \ > patchContigIds.txt # Make lists of SNPs mapped to primary contigs and patch contigs. # Put contig IDs first because we're grepping to find them at the beginning of the line. zcat b138_SNPContigLoc.orig.bcp.gz | awk '{print $3, $2;}' > contigIdsAndRsIds.txt grep -wf primaryContigIds.txt contigIdsAndRsIds.txt > primaryContigsAndRsIds.txt grep -wf patchContigIds.txt contigIdsAndRsIds.txt > patchContigsAndRsIds.txt # Now trim to keep just rs IDs: awk '{print $2;}' primaryContigsAndRsIds.txt | uniq > rsIdsOnPrimary.txt awk '{print $2;}' patchContigsAndRsIds.txt | uniq > rsIdsOnPatches.txt # Compare to find rs IDs mapped to patch contigs but not to primary contigs: sort rsIdsOnPrimary.txt > rsIdsOnPrimary.alphaSort.txt sort rsIdsOnPatches.txt > rsIdsOnPatches.alphaSort.txt comm -13 rsIdsOnPrimary.alphaSort.txt rsIdsOnPatches.alphaSort.txt \ | sort -nu \ > rsIdsOnPatchesNotPrimary.txt wc -l rsIdsOnPatchesNotPrimary.txt #0 rsIdsOnPatchesNotPrimary.txt # yay! # 8/19/13: rebuilding after fix #11544 -- many allele frequencies were combined # incorrectly due to stranded data (but not strand flag) in SNPAlleleFreq and # positive-strand-only data in SNPAlleleFreq_TGP. # 10/11/13: I forgot to add the -deDupTGP argument to snpAddTGPAlleleFreq.pl ! # Re-running steps from snpAddTGPAlleleFreq.pl on, this time with -deDupTGP. # 10/21/13: Jonathan noticed a SNP for which "-" appeared twice in alleles. # Fixed, re-running again. cd /hive/data/outside/dbSNP/138/human mkdir preAlleleFreqFix mv ucscAlleleFreq.txt.gz snp138*.bed.gz preAlleleFreqFix/ # Run with -debug to regenerate addToDbSnp script: ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra \ -continue addToDbSnp -stop addToDbSnp -debug # Now re-run the updated snpAddTGPAlleleFreq.pl command: grep snpAdd addToDbSnp.csh ~/kent/src/hg/utils/automation/snpAddTGPAlleleFreq.pl hg19snp138 \ -contigLoc=b138_SNPContigLoc -deDupTGP > ucscAlleleFreq.txt # Reload the ucscAlleleFreq table: hgLoadSqlTab hg19snp138 ucscAlleleFreq{,.sql,.txt} >>& do.log & tail -f do.log # Redo the big join: set tmpDir = `cat /hive/data/outside/dbSNP/138/human/workingDir` mkdir -p $tmpDir ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra -continue bigJoin -stop bigJoin \ >>& do.log & tail -f do.log # Manually re-run snpNcbiToUcsc (the translate step includes fasta file concat # and indexing, which would waste a lot of time): cd $tmpDir echo 'select * from par' | hgsql hg19 -NB > par.bed snpNcbiToUcsc -snp132Ext -par=par.bed ucscNcbiSnp.bed /hive/data/genomes/hg19/hg19.2bit snp138 \ >>& /hive/data/outside/dbSNP/138/human/do.log & tail -f /hive/data/outside/dbSNP/138/human/do.log head snp138Errors.bed >>& /hive/data/outside/dbSNP/138/human/do.log & tail -f /hive/data/outside/dbSNP/138/human/do.log wc -l snp138* >>& /hive/data/outside/dbSNP/138/human/do.log & tail -f /hive/data/outside/dbSNP/138/human/do.log gzip *.txt *.bed *.tab cp -p * /hive/data/outside/dbSNP/138/human/ cd /hive/data/outside/dbSNP/138/human rm $tmpDir/* # Edit load.csh to skip snp138Seq -- it's huge and nothing changed there. csh -efx ./load.csh >>& do.log & tail -f do.log ############################################################################# # FILTER SNP138 (DONE 3/28/14 angie) # Redone 3/28/14 after redo w/new b138 FTP files (#12975). # Redone 10/22/13. # Redmine #11438 # Make several tracks that are filtered subsets of snp138: # First, filter out the multiply-aligned and/or weight >1 SNPs -> snp138Mult # Second, siphon off the common variants -> snp138Common # Third, take the (uniquely mapped, not ens to be common) variants # w/dbSNP's "clinically-assoc" flag -> snp138Flagged cd /hive/data/outside/dbSNP/138/human zcat snp138.bed.gz \ | ~/kent/src/hg/utils/automation/categorizeSnps.pl #Mult: 3617212 #Common: 14056661 #Flagged: 91499 #leftover: 47699648 foreach f ({Mult,Common,Flagged}.bed.gz) mv $f snp138$f end # Compare to counts from 10/22, before complete re-run w/updated FTP files: #Mult: 3616194 #Common: 14056510 #Flagged: 90349 #leftover: 46502161 # Compare to counts from before fixing #11954 ('-' appearing twice in alleles): #Mult: 3616194 #Common: 14056627 #Flagged: 90349 #leftover: 46502044 # Compare to counts from before counting 100% non-reference as common: #snp138Mult: 3616194 #snp138Common: 14038502 #snp138Flagged: 90351 #leftover: 46520167 # Compare to counts from before fixing allele freq strand bug: #snp138Mult: 3616194 #snp138Common: 14057590 #snp138Flagged: 90189 #leftover: 46501241 # So 162 SNPs would have been left out of snp138Flagged. # Load tables foreach subset (Mult Common Flagged) hgLoadBed -tab -onServer -tmpDir=/data/tmp -allowStartEqualEnd -renameSqlTable \ hg19 snp138$subset -sqlTable=snp138.sql snp138$subset.bed.gz end ############################################################################# # SNP138 ORTHOLOGOUS ALLELES IN CHIMP, ORANG, MACAQUE (DONE 8/1/13 angie) # Redone 3/31/14 after redo w/new b138 FTP files (#12975). # Previously done 8/1/13 # Redmine #11438 mkdir /hive/data/genomes/hg19/bed/snp138Ortho cd /hive/data/genomes/hg19/bed/snp138Ortho # Filter snp138 to to keep only uniquely mapped biallelic SNVs (class=single, length=1); zcat /hive/data/outside/dbSNP/138/human/snp138.bed.gz \ | awk '$18 ~ /^MultipleAlignments|SingleClassTriAllelic|SingleClassQuadAllelic/ {print $4;}' \ | sort -u \ > snp138ExcludeIds.txt wc -l snp138ExcludeIds.txt #1334416 snp138ExcludeIds.txt # Glom all human info that we need for the final table onto the # name, to sneak it through liftOver: rsId|chr|start|end|obs|ref|strand zcat /hive/data/outside/dbSNP/138/human/snp138.bed.gz \ | awk '$3-$2 == 1 && $11 == "single" {print;}' \ | grep -vFwf snp138ExcludeIds.txt \ | awk 'BEGIN{OFS="\t";} \ {print $1, $2, $3, \ $4 "|" $1 "|" $2 "|" $3 "|" $9 "|" $8 "|" $6, \ 0, $6;}' \ > snp138ForLiftOver.bed # Map coords to chimp using liftOver. mkdir run.liftOChimp cd run.liftOChimp mkdir split out splitFile ../snp138ForLiftOver.bed 10000 split/chunk cp /dev/null jobList foreach f (split/chunk*) echo liftOver $f \ /hive/data/genomes/hg19/bed/liftOver/hg19ToPanTro4.over.chain.gz \ \{check out exists out/panTro4.$f:t.bed\} out/hg19.$f:t.unmapped \ >> jobList end ssh swarm cd /hive/data/genomes/hg19/bed/snp138Ortho/run.liftOChimp para make jobList #Completed: 5404 of 5404 jobs #CPU time in finished jobs: 366531s 6108.84m 101.81h 4.24d 0.012 y #IO & Wait Time: 18722s 312.04m 5.20h 0.22d 0.001 y #Average job time: 71s 1.19m 0.02h 0.00d #Longest finished job: 270s 4.50m 0.07h 0.00d #Submission to last job: 1562s 26.03m 0.43h 0.02d # Map coords to orangutan using liftOver. mkdir ../run.liftOPon cd ../run.liftOPon mkdir out ln -s ../run.liftOChimp/split . cp /dev/null jobList foreach f (split/chunk*) echo liftOver $f \ /hive/data/genomes/hg19/bed/liftOver/hg19ToPonAbe2.over.chain.gz \ \{check out exists out/ponAbe2.$f:t.bed\} out/hg19.$f:t.unmapped \ >> jobList end para make jobList #Completed: 5404 of 5404 jobs #CPU time in finished jobs: 737428s 12290.47m 204.84h 8.54d 0.023 y #IO & Wait Time: 24367s 406.12m 6.77h 0.28d 0.001 y #Average job time: 141s 2.35m 0.04h 0.00d #Longest finished job: 653s 10.88m 0.18h 0.01d #Submission to last job: 3135s 52.25m 0.87h 0.04d # Map coords to macaque using liftOver. mkdir ../run.liftOMac cd ../run.liftOMac mkdir out ln -s ../run.liftOChimp/split . cp /dev/null jobList foreach f (split/chunk*) echo liftOver $f \ /hive/data/genomes/hg19/bed/liftOver/hg19ToRheMac3.over.chain.gz \ \{check out exists out/rheMac3.$f:t.bed\} out/hg19.$f:t.unmapped \ >> jobList end para make jobList #Completed: 5404 of 5404 jobs #CPU time in finished jobs: 783517s 13058.61m 217.64h 9.07d 0.025 y #IO & Wait Time: 24306s 405.10m 6.75h 0.28d 0.001 y #Average job time: 149s 2.49m 0.04h 0.00d #Longest finished job: 653s 10.88m 0.18h 0.01d #Submission to last job: 5939s 98.98m 1.65h 0.07d cd /hive/data/genomes/hg19/bed/snp138Ortho # Concatenate the chimp results, sorting by chimp pos in order to # efficiently access 2bit sequence in getOrthoSeq. The output of # that is then sorted by the glommed human info field, so that we # can use join to combine chimp and macaque results in the next step. # Ditto for macaque and orangutan. Each command pipe takes ~15 minutes: sort -k1,1 -k2n,2n run.liftOChimp/out/panTro4.chunk*.bed \ | ~/kent/src/hg/snp/snpLoad/getOrthoSeq.pl /cluster/data/panTro4/panTro4.2bit \ | sort > panTro4.orthoGlom.txt sort -k1,1 -k2n,2n run.liftOPon/out/ponAbe2.chunk*.bed \ | ~/kent/src/hg/snp/snpLoad/getOrthoSeq.pl /cluster/data/ponAbe2/ponAbe2.2bit \ | sort > ponAbe2.orthoGlom.txt sort -k1,1 -k2n,2n run.liftOMac/out/rheMac3.chunk*.bed \ | ~/kent/src/hg/snp/snpLoad/getOrthoSeq.pl /cluster/data/rheMac3/rheMac3.2bit \ | sort > rheMac3.orthoGlom.txt wc -l panTro4.orthoGlom.txt ponAbe2.orthoGlom.txt rheMac3.orthoGlom.txt # 50847196 panTro4.orthoGlom.txt # 48383647 ponAbe2.orthoGlom.txt # 43702072 rheMac3.orthoGlom.txt # Use the glommed name field as a key to join up chimp and macaque # allele data. Include glommed name from both files because if only # file 2 has a line for the key in 2.1, then 1.1 is empty. Then plop # in the orthoGlom fields from each file, which are in the same order # as the chimp and macaque columns of hg18.snp128OrthoPanTro2RheMac2. join -o '1.1 2.1 1.2 1.3 1.4 1.5 1.6 2.2 2.3 2.4 2.5 2.6' \ -a 1 -a 2 -e '?' \ panTro4.orthoGlom.txt ponAbe2.orthoGlom.txt \ | awk '{if ($1 != "?") { print $1, $3,$4,$5,$6,$7,$8,$9,$10,$11,$12; } \ else { print $2, $3,$4,$5,$6,$7,$8,$9,$10,$11,$12; }}' \ > tmp.txt join -o '1.1 2.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 1.10 1.11 2.2 2.3 2.4 2.5 2.6' \ -a 1 -a 2 -e '?' \ tmp.txt rheMac3.orthoGlom.txt \ | perl -wpe 'chomp; \ ($glom12, $glom3, $o1Chr, $o1Start, $o1End, $o1Al, $o1Strand, \ $o2Chr, $o2Start, $o2End, $o2Al, $o2Strand, \ $o3Chr, $o3Start, $o3End, $o3Al, $o3Strand) = split; \ $glomKey = ($glom12 ne "?") ? $glom12 : $glom3; \ ($rsId, $hChr, $hStart, $hEnd, $hObs, $hAl, $hStrand) = \ split(/\|/, $glomKey); \ $o1Start =~ s/^\?$/0/; $o2Start =~ s/^\?$/0/; $o3Start =~ s/^\?$/0/; \ $o1End =~ s/^\?$/0/; $o2End =~ s/^\?$/0/; $o3End =~ s/^\?$/0/; \ print join("\t", $hChr, $hStart, $hEnd, $rsId, $hObs, $hAl, $hStrand, \ $o1Chr, $o1Start, $o1End, $o1Al, $o1Strand, \ $o2Chr, $o2Start, $o2End, $o2Al, $o2Strand, \ $o3Chr, $o3Start, $o3End, $o3Al, $o3Strand) . "\n"; \ s/^.*$//;' \ | sort -k1,1 -k2n,2n > snp138OrthoPt4Pa2Rm3.bed hgLoadBed -tab -onServer -tmpDir=/data/tmp -renameSqlTable \ -sqlTable=$HOME/kent/src/hg/lib/snpOrthoPanPonRhe.sql \ hg19 snp138OrthoPt4Pa2Rm3 snp138OrthoPt4Pa2Rm3.bed #Read 52573568 elements of size 22 from snp138OrthoPt4Pa2Rm3.bed # Cleanup: rm -r run*/split tmp.txt gzip snp138ExcludeIds.txt snp138ForLiftOver.bed & ############################################################################ # DBSNP CODING ANNOTATIONS (138) (DONE 3/31/14 angie) # Previously done 8/1/13 cd /hive/data/outside/dbSNP/138/human # ncbiFuncAnnotations.txt has NCBI coords: 0-based, fully closed. # For anything except an insertion (0 bases between flanks), # we need to add 1 to the end coord. For an insertion, we need # to add 1 to the start coord. Make a hash of the insertion IDs, # then look up each ID in ncbiFuncAnnotations.txt to tell which # transform to apply. # Note: sort -u with the keys below is too restrictive -- we need full line uniq. zcat ncbiFuncAnnotations.txt.gz \ | ~/kent/src/hg/utils/automation/fixNcbiFuncCoords.pl ncbiFuncInsertions.ctg.bed.gz \ | sort -k1n,1n -k2,2 -k3n,3n -k5,5 -k6n,6n \ | uniq \ > ncbiFuncAnnotationsFixed.txt wc -l ncbiFuncAnnotationsFixed.txt #6187796 ncbiFuncAnnotationsFixed.txt # How many & what kinds of function types? cut -f 6 ncbiFuncAnnotationsFixed.txt \ | sort -n | uniq -c #1013446 3 (coding-synon) #2830106 8 (cds-reference -- ignored) # 50753 41 (nonsense) #1762922 42 (missense) # 1623 43 (stop-loss) # 51453 44 (frameshift) # 477493 45 (cds-indel) # In b138, the functional annotations include non-coding (frame = NULL), # which we'll exclude here because this is supposed to be just coding stuff... # probably need to update how we show dbSNP's func annos anyway, e.g. # it is a shame that we toss out codon number and transcript offset. # Gather up multiple annotation lines into one line per {snp, gene, frame}: ~/kent/src/hg/utils/automation/collectNcbiFuncAnnotations.pl ncbiFuncAnnotationsFixed.txt \ | liftUp snp138CodingDbSnp.bed /hive/data/genomes/hg19/jkStuff/liftContigs.lft warn stdin # This had some hg19-specific warnings, e.g. #NC_012920 isn't in liftSpec file line 2973 of stdin #NC_012920 isn't in liftSpec file line 2981 of stdin # That's the chrM hg19 didn't use. We need to pull out NC_012920 lines and use # liftOver instead of liftUp. g -w NC_012920 ncbiFuncAnnotationsFixed.txt \ | ~/kent/src/hg/utils/automation/collectNcbiFuncAnnotations.pl \ | liftOver -tab -bedPlus=3 stdin /hive/data/outside/dbSNP/131/human/NC_012920ToChrM.over.chain \ snp138CodingDbSnp.chrM.bed snp138CodingDbSnp.chrM.unmapped # Now sort them back together: mv snp138CodingDbSnp.bed snp138CodingDbSnp.allButChrM.bed sort -k1,1 -k2n,2n snp138CodingDbSnp.chrM.bed snp138CodingDbSnp.allButChrM.bed \ > snp138CodingDbSnp.bed # Load table hgLoadBed hg19 snp138CodingDbSnp -sqlTable=$HOME/kent/src/hg/lib/snp125Coding.sql \ -renameSqlTable -tab -notItemRgb -allowStartEqualEnd \ snp138CodingDbSnp.bed #Read 3278887 elements of size 11 from snp138CodingDbSnp.bed ############################################################################ # SNPMASKED SEQUENCE FOR SNP138 (DONE 3/31/14 angie) # Redone 3/31/14 after redo w/new b138 FTP files (#12975). # Updated 3/17/14 when user reported in MLQ #12902 that not all files were gzipped. # Originally done 8/19/13. mkdir /hive/data/genomes/hg19/snp138Mask cd /hive/data/genomes/hg19/snp138Mask # Identify rsIds with various problems -- we will exclude those. zcat /hive/data/outside/dbSNP/138/human/snp138.bed.gz \ | awk '$18 ~ /MultipleAlignments|ObservedTooLong|ObservedWrongFormat|ObservedMismatch|MixedObserved/ {print $4;}' \ | sort -u \ > snp138ExcludeRsIds.txt zcat /hive/data/outside/dbSNP/138/human/snp138.bed.gz \ | grep -vFwf snp138ExcludeRsIds.txt \ > snp138Cleaned.bed wc -l snp138Cleaned.bed #60882371 snp138Cleaned.bed # Substitutions: mkdir substitutions snpMaskSingle snp138Cleaned.bed /hive/data/genomes/hg19/hg19.2bit stdout diffObserved.txt \ | faSplit byname stdin substitutions/ #Masked 54208201 snps in 54208183 out of 3137040325 genomic bases #/hive/data/genomes/hg19/hg19.2bit has 3137161264 total bases, but the total number of bases in sequences for which we masked snps is 3137040325 (difference is 120939) # Check that 120939 is the total #bases in sequences with nothing in snp138Cleaned: grep -Fw single snp138Cleaned.bed | cut -f 1 | uniq > /data/tmp/1 grep -vwf /data/tmp/1 ../chrom.sizes \ | awk 'BEGIN {TOTAL = 0;} {TOTAL += $2;} END {printf "%d\n", TOTAL;}' #120939 # warnings about differing observed strings at same base position: wc -l diffObserved.txt #24 diffObserved.txt #TODO: send list to dbSNP. (much smaller list now!) # Make sure that sizes are identical, first diffs are normal -> IUPAC, # and first diffs' case is preserved: foreach f (substitutions/chr*.fa) faCmp -softMask $f ../[1-9UMXY]*/$f:t |& grep -v "that differ" end #chr1 in substitutions/chr1.fa differs from chr1 at ../1/chr1.fa at base 10176 (m != a) #chr10 in substitutions/chr10.fa differs from chr10 at ../10/chr10.fa at base 60522 (K != T) #... #(output OK -- ambiguous bases replacing [agct] at SNP positions) foreach f (substitutions/chr*.fa) echo $f:t:r mv $f $f:r.subst.fa end # Fire off a bunch of gzip jobs in parallel: ls -1 substitutions/*.fa | split -l 5 foreach f (x??) gzip `cat $f` & end # Wait for backgrounded gzip jobs to complete rm x?? # Insertions & deletions not done. To date we have only offered substs for download. # If there is user demand, use template from snp131 above. # Clean up and prepare for download: gzip snp138Cleaned.bed & foreach d (substitutions) pushd $d md5sum *.gz > md5sum.txt cp /hive/data/genomes/hg19/snp137Mask/$d/README.txt . popd end # Edit the README.txt. # Create download links on hgwdev. mkdir /usr/local/apache/htdocs-hgdownload/goldenPath/hg19/snp138Mask ln -s /hive/data/genomes/hg19/snp138Mask/substitutions/* \ /usr/local/apache/htdocs-hgdownload/goldenPath/hg19/snp138Mask/ ######################################################################### # create ucscToINSDC name mapping (DONE - 2013-08-15 - Hiram) # this allows the "ensembl" blue bar button to appear mkdir /hive/data/genomes/hg19/bed/ucscToINSDC cd /hive/data/genomes/hg19/bed/ucscToINSDC cat << '_EOF_' > translateNames.sh #!/bin/sh cat ../../genbank/Primary_Assembly/assembled_chromosomes/chr2acc \ | sed -e 's/^/chr/' cat ../../genbank/ALT_REF*/localID2acc \ | sed -e 's/HSCHR6_MHC_APD_CTG1/chr6_apd_hap1/; s/HSCHR6_MHC_COX_CTG1/chr6_cox_hap2/; s/HSCHR6_MHC_DBB_CTG1/chr6_dbb_hap3/; s/HSCHR6_MHC_MANN_CTG1/chr6_mann_hap4/; s/HSCHR6_MHC_MCF_CTG1/chr6_mcf_hap5/; s/HSCHR6_MHC_QBL_CTG1/chr6_qbl_hap6/; s/HSCHR6_MHC_SSTO_CTG1/chr6_ssto_hap7/; s/HSCHR4_1_CTG9/chr4_ctg9_hap1/; s/HSCHR17_1_CTG5/chr17_ctg5_hap1/;' zcat ../../genbank/Primary_Assembly/unplaced_scaffolds/AGP/unplaced.scaf.agp.gz | grep -v "^#" | cut -f1 \ | sed -e 's/^GL\([0-9]*\).1/chrUn_gl\1\tGL\1.1/;' grep -v "^#" \ ../../genbank/Primary_Assembly/unlocalized_scaffolds/unlocalized.chr2scaf \ | sed -e 's/^\([0-9]*\)\tGL\([0-9]*\).1/chr\1_gl\2_random\tGL\2.1/;' echo -e "chrM\tNC_001807.4" '_EOF_' # << happy emacs chmod +x translateNames.sh ./translateNames.sh | sort > ucscToINSDC.txt join <(sort ../../chrom.sizes) ucscToINSDC.txt \ | awk '{printf "%s\t0\t%d\t%s\n", $1, $2, $3}' > ucscToINSDC.tab # maximum size of UCSC chrom name for SQL index cut -f1 ucscToINSDC.tab | awk '{print length($0)}' | sort -n | tail -1 # 21 hgLoadSqlTab hg19 ucscToINSDC $HOME/kent/src/hg/lib/ucscToINSDC.sql \ ucscToINSDC.tab # verify the track link to INSDC functions ######################################################################### # lastz Fugu fr3 (DONE - 2013-08-20 - Hiram) # establish a screen to control this job with a name to indicate what it is screen -S fr3 mkdir /hive/data/genomes/hg19/bed/lastzFr3.2013-08-20 cd /hive/data/genomes/hg19/bed/lastzFr3.2013-08-20 cat << '_EOF_' > DEF # Human vs. Fugu # Try "human-fugu" (more distant, less repeat-killed than mammal) params # +M=50: BLASTZ_Y=3400 BLASTZ_L=6000 BLASTZ_K=2200 BLASTZ_M=50 BLASTZ_Q=/scratch/data/blastz/HoxD55.q # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 SEQ1_LIMIT=5 # QUERY: Fugu fr3 SEQ2_DIR=/hive/data/genomes/fr3/fr3.2bit SEQ2_LEN=/hive/data/genomes/fr3/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LIMIT=30 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzFr3.2013-08-20 TMPDIR=/dev/shm '_EOF_' # << happy emacs # adjust the SEQ2_LIMIT with -stop=partition to get a reasonable # number of jobs, 50,000 to something under 100,000 # when not present, SEQ2_LIMIT is a default 100 time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -chainMinScore=5000 -chainLinearGap=loose > do.log 2>&1 & # Elapsed time: 77m52s cat fb.hg19.chainFr3Link.txt # 49339815 bases of 2897316137 (1.703%) in intersection # set sym link to indicate this is the lastz for this genome: cd /hive/data/genomes/hg19/bed ln -s lastzFr3.2013-08-20 lastz.fr3 # and for the swap mkdir /hive/data/genomes/fr3/bed/blastz.hg19.swap cd /hive/data/genomes/fr3/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzFr3.2013-08-20/DEF \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -swap -chainMinScore=5000 -chainLinearGap=loose > swap.log 2>&1 & # real 8m36.196s cat fb.fr3.chainHg19Link.txt # 43105455 bases of 350961831 (12.282%) in intersection # set sym link to indicate this is the lastz for this genome: cd /hive/data/genomes/fr3/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # LASTZ Yangtze River dolphin lipVex1 Lastz run (DONE - 2013-08-22 - Hiram) screen -S lipVex1 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzLipVex1.2013-08-22 cd /hive/data/genomes/hg19/bed/lastzLipVex1.2013-08-22 cat << '_EOF_' > DEF # human vs Yangtze River dolphin # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Yangtze River dolphin lipVex1 SEQ2_DIR=/hive/data/genomes/lipVex1/lipVex1.2bit SEQ2_LEN=/hive/data/genomes/lipVex1/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=200 BASE=/hive/data/genomes/hg19/bed/lastzLipVex1.2013-08-22 TMPDIR=/dev/shm '_EOF_' # << emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -syntenicNet > do.log 2>&1 # interrupted due to reconfigurations at SDSC # continuing after finishing the run.blastz: time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -continue=cat -syntenicNet > cat.log 2>&1 # real 336m27.196s cat fb.hg19.chainLipVex1Link.txt # 1508704119 bases of 2897316137 (52.072%) in intersection # create symLink to indicate this is the version to use cd /hive/data/genomes/hg19/bed ln -s lastzLipVex1.2013-08-22 lastz.lipVex1 cd /hive/data/genomes/hg19/bed/lastzLipVex1.2013-08-22 # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 lipVex1 > rbest.log 2>&1 & # real 64m49.366s # running the swap mkdir /hive/data/genomes/lipVex1/bed/blastz.hg19.swap cd /hive/data/genomes/lipVex1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzLipVex1.2013-08-22/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -syntenicNet > swap.log 2>&1 # real 112m58.566s cat fb.lipVex1.chainHg19Link.txt # 1465154822 bases of 2397016190 (61.124%) in intersection cd /hive/data/genomes/lipVex1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # LASTZ spiny softshell turtle apaSpi1 Lastz run (DONE - 2013-08-26 - Hiram) screen -S apaSpi1 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzApaSpi1.2013-08-26 cd /hive/data/genomes/hg19/bed/lastzApaSpi1.2013-08-26 cat << '_EOF_' > DEF # human vs spiny softshell turtle # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: spiny softshell turtle apaSpi1 SEQ2_DIR=/hive/data/genomes/apaSpi1/apaSpi1.2bit SEQ2_LEN=/hive/data/genomes/apaSpi1/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=800 BASE=/hive/data/genomes/hg19/bed/lastzApaSpi1.2013-08-26 TMPDIR=/dev/shm '_EOF_' # << emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -qRepeats=windowmaskerSdust -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku > do.log 2>&1 # real 1667m22.615s # rework to get -qRepeats=windowmaskerSdust done properly time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -continue=chainRun -qRepeats=windowmaskerSdust -chainMinScore=5000 \ -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ > chainRun.log 2>&1 # real 14m9.806s cat fb.hg19.chainApaSpi1Link.txt # 85536067 bases of 2897316137 (2.952%) in intersection # create symLink to indicate this is the version to use cd /hive/data/genomes/hg19/bed ln -s lastzApaSpi1.2013-08-26 lastz.apaSpi1 # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 apaSpi1 > rbest.log 2>&1 & # real 18m15.781s # running the swap mkdir /hive/data/genomes/apaSpi1/bed/blastz.hg19.swap cd /hive/data/genomes/apaSpi1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzApaSpi1.2013-08-26/DEF \ -qRepeats=windowmaskerSdust -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ > swap.log 2>&1 # real 35m2.669s cat fb.apaSpi1.chainHg19Link.txt # 73764290 bases of 1877982184 (3.928%) in intersection cd /hive/data/genomes/apaSpi1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # LASTZ green seaturtle cheMyd1 Lastz run (DONE - 2013-08-26 - Hiram) screen -S cheMyd1 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzCheMyd1.2013-08-26 cd /hive/data/genomes/hg19/bed/lastzCheMyd1.2013-08-26 cat << '_EOF_' > DEF # human vs green seaturtle # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: green seaturtle cheMyd1 SEQ2_DIR=/hive/data/genomes/cheMyd1/cheMyd1.2bit SEQ2_LEN=/hive/data/genomes/cheMyd1/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=800 BASE=/hive/data/genomes/hg19/bed/lastzCheMyd1.2013-08-26 TMPDIR=/dev/shm '_EOF_' # << emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku > do.log 2>&1 # real 1293m10.598s # rework to get -qRepeats=windowmaskerSdust done properly time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -continue=chainRun -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -qRepeats=windowmaskerSdust > chainRun.log 2>&1 # real 17m37.540s cat fb.hg19.chainCheMyd1Link.txt # 107081916 bases of 2897316137 (3.696%) in intersection # create symLink to indicate this is the version to use cd /hive/data/genomes/hg19/bed ln -s lastzCheMyd1.2013-08-26 lastz.cheMyd1 # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 cheMyd1 > rbest.log 2>&1 & # real 9m42.319s # running the swap mkdir /hive/data/genomes/cheMyd1/bed/blastz.hg19.swap cd /hive/data/genomes/cheMyd1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzCheMyd1.2013-08-26/DEF \ -qRepeats=windowmaskerSdust -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ > swap.log 2>&1 # real 17m13.262s cat fb.cheMyd1.chainHg19Link.txt # 96045284 bases of 2110381997 (4.551%) in intersection cd /hive/data/genomes/cheMyd1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # LASTZ green seaturtle micOch1 Lastz run (DONE - 2013-08-26 - Hiram) screen -S micOch1 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzMicOch1.2013-08-26 cd /hive/data/genomes/hg19/bed/lastzMicOch1.2013-08-26 cat << '_EOF_' > DEF # human vs green seaturtle # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: green seaturtle micOch1 SEQ2_DIR=/hive/data/genomes/micOch1/micOch1.2bit SEQ2_LEN=/hive/data/genomes/micOch1/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=40 BASE=/hive/data/genomes/hg19/bed/lastzMicOch1.2013-08-26 TMPDIR=/dev/shm '_EOF_' # << emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku > do.log 2>&1 # real 1238m6.278s cat fb.hg19.chainMicOch1Link.txt # 935400030 bases of 2897316137 (32.285%) in intersection time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -syntenicNet -continue=syntenicNet -stop=syntenicNet \ -chainMinScore=3000 -chainLinearGap=medium -workhorse=hgwdev \ -smallClusterHub=ku -bigClusterHub=ku > synNet.log 2>&1 # real 39m31.241s # create symLink to indicate this is the version to use cd /hive/data/genomes/hg19/bed ln -s lastzMicOch1.2013-08-26 lastz.micOch1 cd lastz.micOch1 # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 micOch1 > rbest.log 2>&1 & # real 62m39.003s # running the swap mkdir /hive/data/genomes/micOch1/bed/blastz.hg19.swap cd /hive/data/genomes/micOch1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzMicOch1.2013-08-26/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -syntenicNet > swap.log 2>&1 # real 104m38.965s cat fb.micOch1.chainHg19Link.txt # 908760510 bases of 2104321675 (43.185%) in intersection cd /hive/data/genomes/micOch1/bed ln -s blastz.hg19.swap lastz.hg19 # rbest catch up 2017-03-16 time (doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ micOch1 hg19) > rbest.log 2>&1 # real 375m5.044s ######################################################################### # lastz southern platyfish xipMac1 (DONE - 2013-08-27 - Hiram) # establish a screen to control this job with a name to indicate what it is screen -S xipMac1 mkdir /hive/data/genomes/hg19/bed/lastzXipMac1.2013-08-27 cd /hive/data/genomes/hg19/bed/lastzXipMac1.2013-08-27 cat << '_EOF_' > DEF # Human vs. southern platyfish # (more distant, less repeat-killed than mammal) params BLASTZ_Y=3400 BLASTZ_L=6000 BLASTZ_K=2200 BLASTZ_M=50 BLASTZ_Q=/scratch/data/blastz/HoxD55.q # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 SEQ1_LIMIT=5 # QUERY: southern platyfish xipMac1 SEQ2_DIR=/hive/data/genomes/xipMac1/xipMac1.2bit SEQ2_LEN=/hive/data/genomes/xipMac1/chrom.sizes SEQ2_CHUNK=10000000 SEQ2_LIMIT=100 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzXipMac1.2013-08-27 TMPDIR=/dev/shm '_EOF_' # << happy emacs # adjust the SEQ2_LIMIT with -stop=partition to get a reasonable # number of jobs, 50,000 to something under 100,000 # when not present, SEQ2_LIMIT is a default 100 time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -qRepeats=windowmaskerSdust -chainMinScore=5000 \ -chainLinearGap=loose > do.log 2>&1 # real 743m56.684s # stuck on one job, continuing: time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -qRepeats=windowmaskerSdust -chainMinScore=5000 \ -continue=cat -chainLinearGap=loose > cat.log 2>&1 # real 17m14.187s cat fb.hg19.chainXipMac1Link.txt # 53354483 bases of 2897316137 (1.842%) in intersection # set sym link to indicate this is the lastz for this genome: cd /hive/data/genomes/hg19/bed ln -s lastzXipMac1.2013-08-27 lastz.xipMac1 # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 xipMac1 > rbest.log 2>&1 & # real 5m49.906s # and for the swap mkdir /hive/data/genomes/xipMac1/bed/blastz.hg19.swap cd /hive/data/genomes/xipMac1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzXipMac1.2013-08-27/DEF \ -qRepeats=windowmaskerSdust -workhorse=hgwdev -smallClusterHub=ku \ -bigClusterHub=ku \ -swap -chainMinScore=5000 -chainLinearGap=loose > swap.log 2>&1 # real 8m28.415s cat fb.xipMac1.chainHg19Link.txt # 47814217 bases of 652815383 (7.324%) in intersection # set sym link to indicate this is the lastz for this genome: cd /hive/data/genomes/xipMac1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # lastz Xenopus tropicalis xenTro7 (DONE - 2013-08-28 - Hiram) # establish a screen to control this job with a name to indicate what it is screen -S xenTro7 mkdir /hive/data/genomes/hg19/bed/lastzXenTro7.2013-08-28 cd /hive/data/genomes/hg19/bed/lastzXenTro7.2013-08-28 cat << '_EOF_' > DEF # Human vs. Xenopus tropicalis # (more distant, less repeat-killed than mammal) params BLASTZ_Y=3400 BLASTZ_L=6000 BLASTZ_K=2200 BLASTZ_M=50 BLASTZ_Q=/scratch/data/blastz/HoxD55.q # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 SEQ1_LIMIT=5 # QUERY: Xenopus tropicalis xenTro7 SEQ2_DIR=/hive/data/genomes/xenTro7/xenTro7.2bit SEQ2_LEN=/hive/data/genomes/xenTro7/chrom.sizes SEQ2_CHUNK=10000000 SEQ2_LIMIT=50 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzXenTro7.2013-08-28 TMPDIR=/dev/shm '_EOF_' # << happy emacs # adjust the SEQ2_LIMIT with -stop=partition to get a reasonable # number of jobs, 50,000 to something under 100,000 # when not present, SEQ2_LIMIT is a default 100 time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -chainMinScore=5000 \ -chainLinearGap=loose > do.log 2>&1 # real 555m40.795s cat fb.hg19.chainXenTro7Link.txt # 91350514 bases of 2897316137 (3.153%) in intersection # set sym link to indicate this is the lastz for this genome: cd /hive/data/genomes/hg19/bed ln -s lastzXenTro7.2013-08-28 lastz.xenTro7 # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 xenTro7 > rbest.log 2>&1 & # real 58m54.190s # and for the swap mkdir /hive/data/genomes/xenTro7/bed/blastz.hg19.swap cd /hive/data/genomes/xenTro7/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzXenTro7.2013-08-28/DEF \ -workhorse=hgwdev -smallClusterHub=ku \ -bigClusterHub=ku \ -swap -chainMinScore=5000 -chainLinearGap=loose > swap.log 2>&1 # real 62m38.163s cat fb.xenTro7.chainHg19Link.txt # 92294714 bases of 1365936747 (6.757%) in intersection # set sym link to indicate this is the lastz for this genome: cd /hive/data/genomes/xenTro7/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # LASTZ pig susScr3 Lastz run (DONE - 2013-08-28 - Hiram) screen -S susScr3 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzSusScr3.2013-08-28 cd /hive/data/genomes/hg19/bed/lastzSusScr3.2013-08-28 cat << '_EOF_' > DEF # human vs pig # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: pig susScr3 SEQ2_DIR=/hive/data/genomes/susScr3/susScr3.2bit SEQ2_LEN=/hive/data/genomes/susScr3/chrom.sizes SEQ2_CHUNK=10000000 SEQ2_LAP=0 SEQ2_LIMIT=100 BASE=/hive/data/genomes/hg19/bed/lastzSusScr3.2013-08-28 TMPDIR=/dev/shm '_EOF_' # << emacs ynteni time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -syntenicNet -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku > do.log 2>&1 # real 985m36.384s cat fb.hg19.chainSusScr3Link.txt # 1332108993 bases of 2897316137 (45.977%) in intersection # create symLink to indicate this is the version to use cd /hive/data/genomes/hg19/bed ln -s lastzSusScr3.2013-08-28 lastz.susScr3 cd /hive/data/genomes/hg19/bed/lastzSusScr3.2013-08-28 # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 susScr3 > rbest.log 2>&1 & # real 168m41.815s # running the swap mkdir /hive/data/genomes/susScr3/bed/blastz.hg19.swap cd /hive/data/genomes/susScr3/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzSusScr3.2013-08-28/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -syntenicNet > swap.log 2>&1 # real 190m59.779s cat fb.susScr3.chainHg19Link.txt # 1445651389 bases of 2525294057 (57.247%) in intersection cd /hive/data/genomes/susScr3/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # LASTZ squirrel speTri2 Lastz run (DONE - 2013-08-28 - Hiram) screen -S speTri2 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzSpeTri2.2013-08-28 cd /hive/data/genomes/hg19/bed/lastzSpeTri2.2013-08-28 cat << '_EOF_' > DEF # human vs squirrel # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: squirrel speTri2 SEQ2_DIR=/hive/data/genomes/speTri2/speTri2.2bit SEQ2_LEN=/hive/data/genomes/speTri2/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=80 BASE=/hive/data/genomes/hg19/bed/lastzSpeTri2.2013-08-28 TMPDIR=/dev/shm '_EOF_' # << emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -syntenicNet -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku > do.log 2>&1 # real 830m26.230s cat fb.hg19.chainSpeTri2Link.txt # 1440632189 bases of 2897316137 (49.723%) in intersection # create symLink to indicate this is the version to use cd /hive/data/genomes/hg19/bed ln -s lastzSpeTri2.2013-08-28 lastz.speTri2 cd /hive/data/genomes/hg19/bed/lastzSpeTri2.2013-08-28 # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 speTri2 > rbest.log 2>&1 & # real 117m12.195s # running the swap mkdir /hive/data/genomes/speTri2/bed/blastz.hg19.swap cd /hive/data/genomes/speTri2/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzSpeTri2.2013-08-28/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -syntenicNet > swap.log 2>&1 # real 174m25.240s cat fb.speTri2.chainHg19Link.txt # 1425773347 bases of 2311060300 (61.693%) in intersection cd /hive/data/genomes/speTri2/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # lastz Nile Tilapia oreNil2 (DONE - 2013-08-28 - Hiram) # establish a screen to control this job with a name to indicate what it is screen -S oreNil2 mkdir /hive/data/genomes/hg19/bed/lastzOreNil2.2013-08-28 cd /hive/data/genomes/hg19/bed/lastzOreNil2.2013-08-28 cat << '_EOF_' > DEF # Human vs. Nile Tilapia # (more distant, less repeat-killed than mammal) params BLASTZ_Y=3400 BLASTZ_L=6000 BLASTZ_K=2200 BLASTZ_M=50 BLASTZ_Q=/scratch/data/blastz/HoxD55.q # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 SEQ1_LIMIT=5 # QUERY: Nile Tilapia oreNil2 SEQ2_DIR=/hive/data/genomes/oreNil2/oreNil2.2bit SEQ2_LEN=/hive/data/genomes/oreNil2/chrom.sizes SEQ2_CHUNK=10000000 SEQ2_LIMIT=30 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzOreNil2.2013-08-28 TMPDIR=/dev/shm '_EOF_' # << happy emacs # adjust the SEQ2_LIMIT with -stop=partition to get a reasonable # number of jobs, 50,000 to something under 100,000 # when not present, SEQ2_LIMIT is a default 100 time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -qRepeats=windowmaskerSdust -chainMinScore=5000 \ -chainLinearGap=loose > do.log 2>&1 # real 409m26.473s cat fb.hg19.chainOreNil2Link.txt # 53080894 bases of 2897316137 (1.832%) in intersection # set sym link to indicate this is the lastz for this genome: cd /hive/data/genomes/hg19/bed ln -s lastzOreNil2.2013-08-28 lastz.oreNil2 cd /hive/data/genomes/hg19/bed/lastzOreNil2.2013-08-28 # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 oreNil2 > rbest.log 2>&1 & # real 30m17.282s # and for the swap mkdir /hive/data/genomes/oreNil2/bed/blastz.hg19.swap cd /hive/data/genomes/oreNil2/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzOreNil2.2013-08-28/DEF \ -workhorse=hgwdev -smallClusterHub=ku \ -bigClusterHub=ku \ -swap -chainMinScore=5000 -chainLinearGap=loose > swap.log 2>&1 # real 51m15.426s cat fb.oreNil2.chainHg19Link.txt # 50170932 bases of 816084674 (6.148%) in intersection # set sym link to indicate this is the lastz for this genome: cd /hive/data/genomes/oreNil2/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # lastz Atlantic cod gadMor1 (DONE - 2013-08-29 - Hiram) # establish a screen to control this job with a name to indicate what it is screen -S gadMor1 mkdir /hive/data/genomes/hg19/bed/lastzGadMor1.2013-08-29 cd /hive/data/genomes/hg19/bed/lastzGadMor1.2013-08-29 cat << '_EOF_' > DEF # Human vs. Atlantic cod # (more distant, less repeat-killed than mammal) params BLASTZ_Y=3400 BLASTZ_L=6000 BLASTZ_K=2200 BLASTZ_M=50 BLASTZ_Q=/scratch/data/blastz/HoxD55.q # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 SEQ1_LIMIT=5 # QUERY: Atlantic cod gadMor1 SEQ2_DIR=/hive/data/genomes/gadMor1/gadMor1.2bit SEQ2_LEN=/hive/data/genomes/gadMor1/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LIMIT=1000 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzGadMor1.2013-08-29 TMPDIR=/dev/shm '_EOF_' # << happy emacs # adjust the SEQ2_LIMIT with -stop=partition to get a reasonable # number of jobs, 50,000 to something under 100,000 # this is a tough one, even at 1,000 LIMIT, it is still 154,128 jobs # when not present, SEQ2_LIMIT is a default 100 time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -qRepeats=windowmaskerSdust -chainMinScore=5000 \ -chainLinearGap=loose > do.log 2>&1 # real 3867m27.630s cat fb.hg19.chainGadMor1Link.txt # 44944606 bases of 2897316137 (1.551%) in intersection # set sym link to indicate this is the lastz for this genome: cd /hive/data/genomes/hg19/bed ln -s lastzGadMor1.2013-08-29 lastz.gadMor1 cd /hive/data/genomes/hg19/bed/lastzGadMor1.2013-08-29 # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 gadMor1 > rbest.log 2>&1 & # real 10m52.744s # and for the swap mkdir /hive/data/genomes/gadMor1/bed/blastz.hg19.swap cd /hive/data/genomes/gadMor1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzGadMor1.2013-08-29/DEF \ -workhorse=hgwdev -smallClusterHub=ku \ -qRepeats=windowmaskerSdust -bigClusterHub=ku \ -swap -chainMinScore=5000 -chainLinearGap=loose > swap.log 2>&1 # real 80m20.797s cat fb.gadMor1.chainHg19Link.txt # 40164018 bases of 608038597 (6.606%) in intersection # set sym link to indicate this is the lastz for this genome: cd /hive/data/genomes/gadMor1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # LASTZ Painted turtle chrPic1 Lastz run (DONE - 2013-08-29 - Hiram) screen -S chrPic1 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzChrPic1.2013-08-29 cd /hive/data/genomes/hg19/bed/lastzChrPic1.2013-08-29 cat << '_EOF_' > DEF # human vs Painted turtle # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Painted turtle chrPic1 SEQ2_DIR=/hive/data/genomes/chrPic1/chrPic1.2bit SEQ2_LEN=/hive/data/genomes/chrPic1/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=40 BASE=/hive/data/genomes/hg19/bed/lastzChrPic1.2013-08-29 TMPDIR=/dev/shm '_EOF_' # << emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -qRepeats=windowmaskerSdust -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku > do.log 2>&1 # real 892m13.008s cat fb.hg19.chainChrPic1Link.txt # 107659077 bases of 2897316137 (3.716%) in intersection # create symLink to indicate this is the version to use cd /hive/data/genomes/hg19/bed ln -s lastzChrPic1.2013-08-29 lastz.chrPic1 cd lastz.chrPic1 # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 chrPic1 > rbest.log 2>&1 & # real 30m27.085s # running the swap mkdir /hive/data/genomes/chrPic1/bed/blastz.hg19.swap cd /hive/data/genomes/chrPic1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzChrPic1.2013-08-29/DEF \ -qRepeats=windowmaskerSdust -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -syntenicNet > swap.log 2>&1 # real 101m31.723s cat fb.chrPic1.chainHg19Link.txt # 98942356 bases of 2158289746 (4.584%) in intersection cd /hive/data/genomes/chrPic1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # LASTZ Microbat myoLuc2 Lastz run (DONE - 2013-08-29 - Hiram) screen -S myoLuc2 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzMyoLuc2.2013-08-29 cd /hive/data/genomes/hg19/bed/lastzMyoLuc2.2013-08-29 cat << '_EOF_' > DEF # human vs Microbat # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Microbat myoLuc2 SEQ2_DIR=/hive/data/genomes/myoLuc2/myoLuc2.2bit SEQ2_LEN=/hive/data/genomes/myoLuc2/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=60 BASE=/hive/data/genomes/hg19/bed/lastzMyoLuc2.2013-08-29 TMPDIR=/dev/shm '_EOF_' # << emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -syntenicNet -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku > do.log 2>&1 # real 1016m59.056s cat fb.hg19.chainMyoLuc2Link.txt # 1155637547 bases of 2897316137 (39.886%) in intersection # create symLink to indicate this is the version to use cd /hive/data/genomes/hg19/bed ln -s lastzMyoLuc2.2013-08-29 lastz.myoLuc2 cd /hive/data/genomes/hg19/bed/lastzMyoLuc2.2013-08-29 # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 myoLuc2 > rbest.log 2>&1 & # real 98m21.512s # running the swap mkdir /hive/data/genomes/myoLuc2/bed/blastz.hg19.swap cd /hive/data/genomes/myoLuc2/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzMyoLuc2.2013-08-29/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -syntenicNet > swap.log 2>&1 # real 124m57.506s cat fb.myoLuc2.chainHg19Link.txt # 1176187354 bases of 1966419868 (59.814%) in intersection cd /hive/data/genomes/myoLuc2/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # LASTZ Chinchilla chiLan1 Lastz run (DONE - 2013-08-29 - Hiram) screen -S chiLan1 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzChiLan1.2013-08-29 cd /hive/data/genomes/hg19/bed/lastzChiLan1.2013-08-29 cat << '_EOF_' > DEF # human vs Chinchilla # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Chinchilla chiLan1 SEQ2_DIR=/hive/data/genomes/chiLan1/chiLan1.2bit SEQ2_LEN=/hive/data/genomes/chiLan1/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=30 BASE=/hive/data/genomes/hg19/bed/lastzChiLan1.2013-08-29 TMPDIR=/dev/shm '_EOF_' # << emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -syntenicNet -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku > do.log 2>&1 # real 1092m26.135s cat fb.hg19.chainChiLan1Link.txt # 1362093436 bases of 2897316137 (47.012%) in intersection # create symLink to indicate this is the version to use cd /hive/data/genomes/hg19/bed ln -s lastzChiLan1.2013-08-29 lastz.chiLan1 cd /hive/data/genomes/hg19/bed/lastzChiLan1.2013-08-29 # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 chiLan1 > rbest.log 2>&1 & # real 114m45.554s # running the swap mkdir /hive/data/genomes/chiLan1/bed/blastz.hg19.swap cd /hive/data/genomes/chiLan1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzChiLan1.2013-08-29/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -syntenicNet > swap.log 2>&1 # real 132m31.964s cat fb.chiLan1.chainHg19Link.txt # 1324270224 bases of 2284276400 (57.973%) in intersection cd /hive/data/genomes/chiLan1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # LASTZ soft-shell turtle pelSin1 Lastz run (DONE - 2013-08-29 - Hiram) screen -S pelSin1 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzPelSin1.2013-08-29 cd /hive/data/genomes/hg19/bed/lastzPelSin1.2013-08-29 cat << '_EOF_' > DEF # human vs soft-shell turtle # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: soft-shell turtle pelSin1 SEQ2_DIR=/hive/data/genomes/pelSin1/pelSin1.2bit SEQ2_LEN=/hive/data/genomes/pelSin1/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=100 BASE=/hive/data/genomes/hg19/bed/lastzPelSin1.2013-08-29 TMPDIR=/dev/shm '_EOF_' # << emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -qRepeats=windowmaskerSdust -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku > do.log 2>&1 # real 760m28.165s cat fb.hg19.chainPelSin1Link.txt # 94684471 bases of 2897316137 (3.268%) in intersection # create symLink to indicate this is the version to use cd /hive/data/genomes/hg19/bed ln -s lastzPelSin1.2013-08-29 lastz.pelSin1 cd /hive/data/genomes/hg19/bed/lastzPelSin1.2013-08-29 # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 pelSin1 > rbest.log 2>&1 & # real 24m55.846s # running the swap mkdir /hive/data/genomes/pelSin1/bed/blastz.hg19.swap cd /hive/data/genomes/pelSin1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzPelSin1.2013-08-29/DEF \ -qRepeats=windowmaskerSdust -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -syntenicNet > swap.log 2>&1 # real 53m24.544s cat fb.pelSin1.chainHg19Link.txt # 84523108 bases of 2106639384 (4.012%) in intersection cd /hive/data/genomes/pelSin1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # LASTZ Chinese hamster criGri1 Lastz run (DONE - 2013-08-30 - Hiram) screen -S criGri1 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzCriGri1.2013-08-30 cd /hive/data/genomes/hg19/bed/lastzCriGri1.2013-08-30 cat << '_EOF_' > DEF # human vs Chinese hamster # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Chinese hamster criGri1 SEQ2_DIR=/hive/data/genomes/criGri1/criGri1.2bit SEQ2_LEN=/hive/data/genomes/criGri1/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=300 BASE=/hive/data/genomes/hg19/bed/lastzCriGri1.2013-08-30 TMPDIR=/dev/shm '_EOF_' # << emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -syntenicNet -workhorse=hgwdev -smallClusterHub=ku \ -bigClusterHub=ku > do.log 2>&1 # real 2599m44.559s cat fb.hg19.chainCriGri1Link.txt # 984641190 bases of 2897316137 (33.985%) in intersection # create symLink to indicate this is the version to use cd /hive/data/genomes/hg19/bed ln -s lastzCriGri1.2013-08-30 lastz.criGri1 cd /hive/data/genomes/hg19/bed/lastzCriGri1.2013-08-30 # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 criGri1 > rbest.log 2>&1 & # real 57m9.843s # running the swap mkdir /hive/data/genomes/criGri1/bed/blastz.hg19.swap cd /hive/data/genomes/criGri1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzCriGri1.2013-08-30/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -syntenicNet > swap.log 2>&1 # real 110m44.600s cat fb.criGri1.chainHg19Link.txt # 968620399 bases of 2301325917 (42.090%) in intersection cd /hive/data/genomes/criGri1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # LASTZ golden hamster mesAur1 Lastz run (DONE - 2013-08-30 - Hiram) screen -S mesAur1 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzMesAur1.2013-08-30 cd /hive/data/genomes/hg19/bed/lastzMesAur1.2013-08-30 cat << '_EOF_' > DEF # human vs golden hamster # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: golden hamster mesAur1 SEQ2_DIR=/hive/data/genomes/mesAur1/mesAur1.2bit SEQ2_LEN=/hive/data/genomes/mesAur1/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=150 BASE=/hive/data/genomes/hg19/bed/lastzMesAur1.2013-08-30 TMPDIR=/dev/shm '_EOF_' # << emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -syntenicNet -workhorse=hgwdev -smallClusterHub=ku \ -bigClusterHub=ku > do.log 2>&1 # real 2400m6.299s cat fb.hg19.chainMesAur1Link.txt # 915714541 bases of 2897316137 (31.606%) in intersection # create symLink to indicate this is the version to use cd /hive/data/genomes/hg19/bed ln -s lastzMesAur1.2013-08-30 lastz.mesAur1 cd /hive/data/genomes/hg19/bed/lastzMesAur1.2013-08-30 # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 mesAur1 > rbest.log 2>&1 & # real 60m12.921s # running the swap mkdir /hive/data/genomes/mesAur1/bed/blastz.hg19.swap cd /hive/data/genomes/mesAur1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzMesAur1.2013-08-30/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -syntenicNet > swap.log 2>&1 # real 87m57.730s cat fb.mesAur1.chainHg19Link.txt # 888275411 bases of 2076176254 (42.784%) in intersection cd /hive/data/genomes/mesAur1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # LASTZ black flying fox pteAle1 Lastz run (DONE - 2013-08-30 - Hiram) screen -S pteAle1 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzPteAle1.2013-08-30 cd /hive/data/genomes/hg19/bed/lastzPteAle1.2013-08-30 cat << '_EOF_' > DEF # human vs black flying fox # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: black flying fox pteAle1 SEQ2_DIR=/hive/data/genomes/pteAle1/pteAle1.2bit SEQ2_LEN=/hive/data/genomes/pteAle1/chrom.sizes SEQ2_CHUNK=10000000 SEQ2_LAP=0 SEQ2_LIMIT=400 BASE=/hive/data/genomes/hg19/bed/lastzPteAle1.2013-08-30 TMPDIR=/dev/shm '_EOF_' # << emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -syntenicNet -workhorse=hgwdev -smallClusterHub=ku \ -bigClusterHub=ku > do.log 2>&1 # real 2451m8.857s cat fb.hg19.chainPteAle1Link.txt # 1439107015 bases of 2897316137 (49.670%) in intersection # create symLink to indicate this is the version to use cd /hive/data/genomes/hg19/bed ln -s lastzPteAle1.2013-08-30 lastz.pteAle1 cd /hive/data/genomes/hg19/bed/lastzPteAle1.2013-08-30 # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 pteAle1 > rbest.log 2>&1 & # real 66m15.979s # running the swap mkdir /hive/data/genomes/pteAle1/bed/blastz.hg19.swap cd /hive/data/genomes/pteAle1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzPteAle1.2013-08-30/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -syntenicNet > swap.log 2>&1 # real 113m30.834s cat fb.pteAle1.chainHg19Link.txt # 1382430767 bases of 1944625202 (71.090%) in intersection cd /hive/data/genomes/pteAle1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # LASTZ David's Myotis myoDav1 Lastz run (DONE - 2013-08-30 - Hiram) screen -S myoDav1 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzMyoDav1.2013-08-30 cd /hive/data/genomes/hg19/bed/lastzMyoDav1.2013-08-30 cat << '_EOF_' > DEF # human vs David's Myotis # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: David's Myotis myoDav1 SEQ2_DIR=/hive/data/genomes/myoDav1/myoDav1.2bit SEQ2_LEN=/hive/data/genomes/myoDav1/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=600 BASE=/hive/data/genomes/hg19/bed/lastzMyoDav1.2013-08-30 TMPDIR=/dev/shm '_EOF_' # << emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -syntenicNet -workhorse=hgwdev -smallClusterHub=ku \ -bigClusterHub=ku > do.log 2>&1 # real 2580m42.983s cat fb.hg19.chainMyoDav1Link.txt # 1152836794 bases of 2897316137 (39.790%) in intersection # create symLink to indicate this is the version to use cd /hive/data/genomes/hg19/bed ln -s lastzMyoDav1.2013-08-30 lastz.myoDav1 cd /hive/data/genomes/hg19/bed/lastzMyoDav1.2013-08-30 # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 myoDav1 > rbest.log 2>&1 & # real 70m11.697s # running the swap mkdir /hive/data/genomes/myoDav1/bed/blastz.hg19.swap cd /hive/data/genomes/myoDav1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzMyoDav1.2013-08-30/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -syntenicNet > swap.log 2>&1 # real 127m39.070s cat fb.myoDav1.chainHg19Link.txt # 1131034077 bases of 1878461987 (60.211%) in intersection cd /hive/data/genomes/myoDav1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # LASTZ big brown bat eptFus1 Lastz run (DONE - 2013-08-30 - Hiram) screen -S eptFus1 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzEptFus1.2013-08-30 cd /hive/data/genomes/hg19/bed/lastzEptFus1.2013-08-30 cat << '_EOF_' > DEF # human vs big brown bat # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: big brown bat eptFus1 SEQ2_DIR=/hive/data/genomes/eptFus1/eptFus1.2bit SEQ2_LEN=/hive/data/genomes/eptFus1/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=40 BASE=/hive/data/genomes/hg19/bed/lastzEptFus1.2013-08-30 TMPDIR=/dev/shm '_EOF_' # << emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -syntenicNet -workhorse=hgwdev -smallClusterHub=ku \ -bigClusterHub=ku > do.log 2>&1 # real 2141m28.715s cat fb.hg19.chainEptFus1Link.txt # 1165334482 bases of 2897316137 (40.221%) in intersection # create symLink to indicate this is the version to use cd /hive/data/genomes/hg19/bed ln -s lastzEptFus1.2013-08-30 lastz.eptFus1 cd /hive/data/genomes/hg19/bed/lastzEptFus1.2013-08-30 # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 eptFus1 > rbest.log 2>&1 & # real 67m59.692s # running the swap mkdir /hive/data/genomes/eptFus1/bed/blastz.hg19.swap cd /hive/data/genomes/eptFus1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzEptFus1.2013-08-30/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -syntenicNet > swap.log 2>&1 # real 99m18.361s cat fb.eptFus1.chainHg19Link.txt # 1125367165 bases of 1811378799 (62.128%) in intersection cd /hive/data/genomes/eptFus1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # LASTZ Tawny puffer fish takFla1 Lastz run (DONE - 2013-08-30 - Hiram) screen -S takFla1 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzTakFla1.2013-08-30 cd /hive/data/genomes/hg19/bed/lastzTakFla1.2013-08-30 cat << '_EOF_' > DEF # human vs Tawny puffer fish # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Tawny puffer fish takFla1 SEQ2_DIR=/hive/data/genomes/takFla1/takFla1.2bit SEQ2_LEN=/hive/data/genomes/takFla1/chrom.sizes SEQ2_CHUNK=10000000 SEQ2_LAP=0 SEQ2_LIMIT=20 BASE=/hive/data/genomes/hg19/bed/lastzTakFla1.2013-08-30 TMPDIR=/dev/shm '_EOF_' # << emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=ku \ -bigClusterHub=ku > do.log 2>&1 # real 1139m40.279s cat fb.hg19.chainTakFla1Link.txt # 30765768 bases of 2897316137 (1.062%) in intersection # create symLink to indicate this is the version to use cd /hive/data/genomes/hg19/bed ln -s lastzTakFla1.2013-08-30 lastz.takFla1 cd /hive/data/genomes/hg19/bed/lastzTakFla1.2013-08-30 # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 takFla1 > rbest.log 2>&1 & # real 5m2.879s # running the swap mkdir /hive/data/genomes/takFla1/bed/blastz.hg19.swap cd /hive/data/genomes/takFla1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzTakFla1.2013-08-30/DEF \ -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ > swap.log 2>&1 # real 6m56.043s cat fb.takFla1.chainHg19Link.txt # 26755636 bases of 314848639 (8.498%) in intersection cd /hive/data/genomes/takFla1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # LASTZ Princess of Burundi neoBri1 Lastz run (DONE - 2013-09-02 - Hiram) screen -S neoBri1 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzNeoBri1.2013-09-02 cd /hive/data/genomes/hg19/bed/lastzNeoBri1.2013-09-02 cat << '_EOF_' > DEF # human vs Princess of Burundi # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Princess of Burundi neoBri1 SEQ2_DIR=/hive/data/genomes/neoBri1/neoBri1.2bit SEQ2_LEN=/hive/data/genomes/neoBri1/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=40 BASE=/hive/data/genomes/hg19/bed/lastzNeoBri1.2013-09-02 TMPDIR=/dev/shm '_EOF_' # << emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=5000 -chainLinearGap=loose \ -qRepeats=windowmaskerSdust -workhorse=hgwdev -smallClusterHub=ku \ -bigClusterHub=ku > do.log 2>&1 # real 774m23.227s cat fb.hg19.chainNeoBri1Link.txt # 35299643 bases of 2897316137 (1.218%) in intersection # create symLink to indicate this is the version to use cd /hive/data/genomes/hg19/bed ln -s lastzNeoBri1.2013-09-02 lastz.neoBri1 cd /hive/data/genomes/hg19/bed/lastzNeoBri1.2013-09-02 # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 neoBri1 > rbest.log 2>&1 & # real 19m5.052s # running the swap mkdir /hive/data/genomes/neoBri1/bed/blastz.hg19.swap cd /hive/data/genomes/neoBri1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzNeoBri1.2013-09-02/DEF \ -qRepeats=windowmaskerSdust -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ > swap.log 2>&1 # real 11m18.544s cat fb.neoBri1.chainHg19Link.txt # 32747070 bases of 685897281 (4.774%) in intersection cd /hive/data/genomes/neoBri1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # LASTZ Burton's mouthbreeder hapBur1 Lastz run (DONE - 2013-09-02 - Hiram) screen -S hapBur1 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzHapBur1.2013-09-02 cd /hive/data/genomes/hg19/bed/lastzHapBur1.2013-09-02 cat << '_EOF_' > DEF # human vs Burton's mouthbreeder # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Burton's mouthbreeder hapBur1 SEQ2_DIR=/hive/data/genomes/hapBur1/hapBur1.2bit SEQ2_LEN=/hive/data/genomes/hapBur1/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=40 BASE=/hive/data/genomes/hg19/bed/lastzHapBur1.2013-09-02 TMPDIR=/dev/shm '_EOF_' # << emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=5000 -chainLinearGap=loose \ -qRepeats=windowmaskerSdust -workhorse=hgwdev -smallClusterHub=ku \ -bigClusterHub=ku > do.log 2>&1 # real 720m19.953s cat fb.hg19.chainHapBur1Link.txt # 35367525 bases of 2897316137 (1.221%) in intersection # create symLink to indicate this is the version to use cd /hive/data/genomes/hg19/bed ln -s lastzHapBur1.2013-09-02 lastz.hapBur1 cd /hive/data/genomes/hg19/bed/lastzHapBur1.2013-09-02 # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 hapBur1 > rbest.log 2>&1 & # real 8m49.709s # running the swap mkdir /hive/data/genomes/hapBur1/bed/blastz.hg19.swap cd /hive/data/genomes/hapBur1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzHapBur1.2013-09-02/DEF \ -qRepeats=windowmaskerSdust -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ > swap.log 2>&1 # real 7m34.243s cat fb.hapBur1.chainHg19Link.txt # 33244147 bases of 698936397 (4.756%) in intersection cd /hive/data/genomes/hapBur1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # LASTZ Pundamilia nyererei cichlid fish punNye1 Lastz run (DONE - 2013-09-02 - Hiram) screen -S punNye1 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzPunNye1.2013-09-02 cd /hive/data/genomes/hg19/bed/lastzPunNye1.2013-09-02 cat << '_EOF_' > DEF # human vs Pundamilia nyererei cichlid fish # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Pundamilia nyererei cichlid fish punNye1 SEQ2_DIR=/hive/data/genomes/punNye1/punNye1.2bit SEQ2_LEN=/hive/data/genomes/punNye1/chrom.sizes SEQ2_CHUNK=15000000 SEQ2_LAP=0 SEQ2_LIMIT=30 BASE=/hive/data/genomes/hg19/bed/lastzPunNye1.2013-09-02 TMPDIR=/dev/shm '_EOF_' # << emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=5000 -chainLinearGap=loose \ -qRepeats=windowmaskerSdust -workhorse=hgwdev -smallClusterHub=ku \ -bigClusterHub=ku > do.log 2>&1 # real 778m57.473s cat fb.hg19.chainPunNye1Link.txt # 35332553 bases of 2897316137 (1.219%) in intersection # create symLink to indicate this is the version to use cd /hive/data/genomes/hg19/bed ln -s lastzPunNye1.2013-09-02 lastz.punNye1 cd /hive/data/genomes/hg19/bed/lastzPunNye1.2013-09-02 # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 punNye1 > rbest.log 2>&1 & # real 15m0.100s # running the swap mkdir /hive/data/genomes/punNye1/bed/blastz.hg19.swap cd /hive/data/genomes/punNye1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzPunNye1.2013-09-02/DEF \ -qRepeats=windowmaskerSdust -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ > swap.log 2>&1 # real 11m41.848s cat fb.punNye1.chainHg19Link.txt # 33189954 bases of 698757151 (4.750%) in intersection cd /hive/data/genomes/punNye1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # LASTZ Mexican tetra (cavefish) astMex1 Lastz run (DONE - 2013-09-02 - Hiram) screen -S astMex1 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzAstMex1.2013-09-02 cd /hive/data/genomes/hg19/bed/lastzAstMex1.2013-09-02 cat << '_EOF_' > DEF # human vs Mexican tetra (cavefish) # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Mexican tetra (cavefish) astMex1 SEQ2_DIR=/hive/data/genomes/astMex1/astMex1.2bit SEQ2_LEN=/hive/data/genomes/astMex1/chrom.sizes SEQ2_CHUNK=10000000 SEQ2_LAP=0 SEQ2_LIMIT=60 BASE=/hive/data/genomes/hg19/bed/lastzAstMex1.2013-09-02 TMPDIR=/dev/shm '_EOF_' # << emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=5000 -chainLinearGap=loose \ -qRepeats=windowmaskerSdust -workhorse=hgwdev -smallClusterHub=ku \ -bigClusterHub=ku > do.log 2>&1 # real 822m26.496s cat fb.hg19.chainAstMex1Link.txt # 36769531 bases of 2897316137 (1.269%) in intersection # create symLink to indicate this is the version to use cd /hive/data/genomes/hg19/bed ln -s lastzAstMex1.2013-09-02 lastz.astMex1 cd /hive/data/genomes/hg19/bed/lastzAstMex1.2013-09-02 # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 astMex1 > rbest.log 2>&1 & # real 21m11.885s # running the swap mkdir /hive/data/genomes/astMex1/bed/blastz.hg19.swap cd /hive/data/genomes/astMex1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzAstMex1.2013-09-02/DEF \ -qRepeats=windowmaskerSdust -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ > swap.log 2>&1 # real 6m37.356s cat fb.astMex1.chainHg19Link.txt # 33708255 bases of 964264884 (3.496%) in intersection cd /hive/data/genomes/astMex1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # LASTZ Spotted Gar lepOcu1 Lastz run (DONE - 2013-09-02 - Hiram) screen -S lepOcu1 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzLepOcu1.2013-09-02 cd /hive/data/genomes/hg19/bed/lastzLepOcu1.2013-09-02 cat << '_EOF_' > DEF # human vs Spotted Gar # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Spotted Gar lepOcu1 SEQ2_DIR=/hive/data/genomes/lepOcu1/lepOcu1.2bit SEQ2_LEN=/hive/data/genomes/lepOcu1/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=20 BASE=/hive/data/genomes/hg19/bed/lastzLepOcu1.2013-09-02 TMPDIR=/dev/shm '_EOF_' # << emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=5000 -chainLinearGap=loose \ -qRepeats=windowmaskerSdust -workhorse=hgwdev -smallClusterHub=ku \ -bigClusterHub=ku > do.log 2>&1 # real 692m41.530s cat fb.hg19.chainLepOcu1Link.txt # 44098709 bases of 2897316137 (1.522%) in intersection # create symLink to indicate this is the version to use cd /hive/data/genomes/hg19/bed ln -s lastzLepOcu1.2013-09-02 lastz.lepOcu1 cd /hive/data/genomes/hg19/bed/lastzLepOcu1.2013-09-02 # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 lepOcu1 > rbest.log 2>&1 & # real 15m34.553s # running the swap mkdir /hive/data/genomes/lepOcu1/bed/blastz.hg19.swap cd /hive/data/genomes/lepOcu1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzLepOcu1.2013-09-02/DEF \ -qRepeats=windowmaskerSdust -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ > swap.log 2>&1 # real 8m47.294s cat fb.lepOcu1.chainHg19Link.txt # 35349904 bases of 869414361 (4.066%) in intersection cd /hive/data/genomes/lepOcu1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # lastz chinese alligator allSin1 (DONE - 2013-09-02 - Hiram) # establish a screen to control this job with a name to indicate what it is screen -S hg19AllSin1 mkdir /hive/data/genomes/hg19/bed/lastzAllSin1.2013-09-02 cd /hive/data/genomes/hg19/bed/lastzAllSin1.2013-09-02 cat << '_EOF_' > DEF # Human vs. chinese alligator BLASTZ_Y=3400 BLASTZ_L=6000 BLASTZ_K=2200 BLASTZ_Q=/scratch/data/blastz/HoxD55.q # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=20000000 SEQ1_LAP=10000 # QUERY: alligator allSin1 SEQ2_DIR=/hive/data/genomes/allSin1/allSin1.2bit SEQ2_LEN=/hive/data/genomes/allSin1/chrom.sizes SEQ2_CHUNK=10000000 SEQ2_LAP=0 SEQ2_LIMIT=30 BASE=/hive/data/genomes/hg19/bed/lastzAllSin1.2013-09-02 TMPDIR=/dev/shm '_EOF_' # << happy emacs # adjust the SEQ2_LIMIT with -stop=partition to get a reasonable # number of jobs, 50,000 to something under 100,000 # when not present, SEQ2_LIMIT is a default 100 time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -chainMinScore=5000 -chainLinearGap=loose > do.log 2>&1 # real 517m26.179s # forgot to reload the database tables after adding chrM, finish # the load step, then continuing: time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -continue=download `pwd`/DEF \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -chainMinScore=5000 -chainLinearGap=loose > download.log 2>&1 # Elapsed time: 1m36s cat fb.hg19.chainAllSin1Link.txt # 198130655 bases of 2897316137 (6.838%) in intersection # set sym link to indicate this is the lastz for this genome: cd /hive/data/genomes/hg19/bed ln -s lastzAllSin1.2013-09-02 lastz.allSin1 # good to have recip best here time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 allSin1 > rbest.log 2>&1 & # real 18m19.294s # and for the swap mkdir /hive/data/genomes/allSin1/bed/blastz.hg19.swap cd /hive/data/genomes/allSin1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzAllSin1.2013-09-02/DEF \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -swap -chainMinScore=5000 -chainLinearGap=loose > swap.log 2>&1 # real 23m42.533s cat fb.allSin1.chainHg19Link.txt # 170963971 bases of 2198602449 (7.776%) in intersection # set sym link to indicate this is the lastz for this genome: cd /hive/data/genomes/allSin1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # LASTZ Mexican tetra (cavefish) mayZeb1 Lastz run (DONE - 2013-09-02 - Hiram) screen -S mayZeb1 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzMayZeb1.2013-09-02 cd /hive/data/genomes/hg19/bed/lastzMayZeb1.2013-09-02 cat << '_EOF_' > DEF # human vs Maylandia zebra cichlid fish # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Maylandia zebra cichlid fish mayZeb1 SEQ2_DIR=/hive/data/genomes/mayZeb1/mayZeb1.2bit SEQ2_LEN=/hive/data/genomes/mayZeb1/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=20 BASE=/hive/data/genomes/hg19/bed/lastzMayZeb1.2013-09-02 TMPDIR=/dev/shm '_EOF_' # << emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=5000 -chainLinearGap=loose \ -qRepeats=windowmaskerSdust -workhorse=hgwdev -smallClusterHub=ku \ -bigClusterHub=ku > do.log 2>&1 # real 736m7.416s cat fb.hg19.chainMayZeb1Link.txt # 36002695 bases of 2897316137 (1.243%) in intersection # create symLink to indicate this is the version to use cd /hive/data/genomes/hg19/bed ln -s lastzMayZeb1.2013-09-02 lastz.mayZeb1 cd /hive/data/genomes/hg19/bed/lastzMayZeb1.2013-09-02 # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 mayZeb1 > rbest.log 2>&1 & # real 10m10.495s # running the swap mkdir /hive/data/genomes/mayZeb1/bed/blastz.hg19.swap cd /hive/data/genomes/mayZeb1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzMayZeb1.2013-09-02/DEF \ -qRepeats=windowmaskerSdust -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ > swap.log 2>&1 # real 6m51.755s cat fb.mayZeb1.chainHg19Link.txt # 33421946 bases of 713527863 (4.684%) in intersection cd /hive/data/genomes/mayZeb1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # Amur tiger panTig1 Lastz run (DONE - 2013-09-10 - Hiram) screen -S panTig1 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzPanTig1.2013-09-10 cd /hive/data/genomes/hg19/bed/lastzPanTig1.2013-09-10 cat << '_EOF_' > DEF # human vs Amur tiger # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: Amur tiger PanTig1 SEQ2_DIR=/hive/data/genomes/panTig1/panTig1.2bit SEQ2_LEN=/hive/data/genomes/panTig1/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=30 BASE=/hive/data/genomes/hg19/bed/lastzPanTig1.2013-09-10 TMPDIR=/dev/shm '_EOF_' # << emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -syntenicNet > do.log 2>&1 # real 952m31.453s cat fb.hg19.chainPanTig1Link.txt # 1523174002 bases of 2897316137 (52.572%) in intersection # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 panTig1 > rbest.log 2>&1 & # real 541m21.230s # running the swap mkdir /hive/data/genomes/panTig1/bed/blastz.hg19.swap cd /hive/data/genomes/panTig1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzPanTig1.2013-09-10/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -syntenicNet > swap.log 2>&1 # real 329m54.539s cat fb.panTig1.chainHg19Link.txt # 1458977137 bases of 2332849683 (62.541%) in intersection cd /hive/data/genomes/panTig1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # NCBI ClinVar (new version -DONE - 2014-11-08 - Max) # Note that since Jan 2015, ClinVar is on otto update mode. # for the procedure, see ~/kent/src/hg/utils/otto/clinvar/ mkdir /hive/data/genomes/hg19/bed/clinvar cd /hive/data/genomes/hg19/bed/clinvar cat << '_EOF_' > clinvar.as table clinVarBed "Browser extensible data (4 fields) plus information about a ClinVar entry" ( string chrom; "Chromosome (or contig, scaffold, etc.)" uint chromStart; "Start position in chromosome" uint chromEnd; "End position in chromosome" string name; "Name of item" lstring origName; "Orignal name of item" string type; "Type of Variant" string geneId; "NCBI Entrez Gene ID" string geneSym; "NCBI Entrez Gene Symbol" string clinSign; "Clinical significance:" string snpId; "dbSNP ID" string nsvId; "dbVar ID" string rcvAcc; "ClinVar ID" string testedInGtr; "Genetic Testing Registry" lstring phenotype; "Phenotype identifiers" string origin; "Data origin" string assembly; "Genome assembly" string cytogenetic; "Cytogenetic status" string reviewStatus; "Review status" lstring hgvsCod; "coding HGVS" lstring hgvsProt; "protein HGVS" string numSubmit; "number of submitters" string lastEval; "last evaluation" string guidelines; "guidelines" lstring otherIds; "other identifiers e.g. OMIM IDs, etc." ) _EOF_ ~/kent/src/hg/utils/otto/clinvar/clinVarToBed --auto mv clinvarMain.hg19.bb clinvarMain.bb mv clinvarCnv.hg19.bb clinvarCnv.bb mkdir /hive/data/genomes/hg38/bed/clinvar mv clinvarMain.hg38.bb /hive/data/genomes/hg38/bed/clinvar/clinvarMain.bb mv clinvarCnv.hg38.bb /hive/data/genomes/hg38/bed/clinvar/clinvarCnv.bb ln -s /hive/data/genomes/hg38/bed/clinvar/clinvarMain.bb /gbdb/hg38/bbi/clinvarMain.bb ln -s /hive/data/genomes/hg38/bed/clinvar/clinvarCnv.bb /gbdb/hg38/bbi/clinvarCnv.bb ln -s /hive/data/genomes/hg19/bed/clinvar/clinvarMain.bb /gbdb/hg19/bbi/clinvarMain.bb ln -s /hive/data/genomes/hg19/bed/clinvar/clinvarCnv.bb /gbdb/hg19/bbi/clinvarCnv.bb ######################################################################### # lastz Arctic lamprey letCam1 (DONE - 2013-09-19 - Hiram) # establish a screen to control this job with a name to indicate what it is screen -S letCam1 mkdir /hive/data/genomes/hg19/bed/lastzLetCam1.2013-09-19 cd /hive/data/genomes/hg19/bed/lastzLetCam1.2013-09-19 cat << '_EOF_' > DEF # Human vs. Arctic lamprey BLASTZ_Y=3400 BLASTZ_L=6000 BLASTZ_K=2200 BLASTZ_M=50 BLASTZ_Q=/scratch/data/blastz/HoxD55.q # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=20000000 SEQ1_LAP=10000 # QUERY: Arctic lamprey LetCam1 SEQ2_DIR=/hive/data/genomes/letCam1/letCam1.2bit SEQ2_LEN=/hive/data/genomes/letCam1/chrom.sizes SEQ2_CHUNK=10000000 SEQ2_LAP=0 SEQ2_LIMIT=200 BASE=/hive/data/genomes/hg19/bed/lastzLetCam1.2013-09-19 TMPDIR=/scratch/tmp '_EOF_' # << happy emacs # adjust the SEQ2_LIMIT with -stop=partition to get a reasonable # number of jobs, 50,000 to something under 100,000 # when not present, SEQ2_LIMIT is a default 100 time nice -n +19 doBlastzChainNet.pl -verbose=2 \ `pwd`/DEF \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -chainMinScore=5000 -chainLinearGap=loose > do.log 2>&1 # real 221m54.751s cat fb.hg19.chainLetCam1Link.txt # 37233603 bases of 2897316137 (1.285%) in intersection # set sym link to indicate this is the lastz for this genome: cd /hive/data/genomes/hg19/bed ln -s lastzLetCam1.2013-09-19 lastz.letCam1 # and for the swap mkdir /hive/data/genomes/letCam1/bed/blastz.hg19.swap cd /hive/data/genomes/letCam1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzLetCam1.2013-09-19/DEF \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -swap -chainMinScore=5000 -chainLinearGap=loose > swap.log 2>&1 # Elapsed time: 123m9s cat fb.letCam1.chainHg19Link.txt # 30587683 bases of 853455384 (3.584%) in intersection # set sym link to indicate this is the lastz for this genome: cd /hive/data/genomes/letCam1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### ## 100-Way Multiz (WORKING - 2013-08-29 - Hiram) ssh hgwdev mkdir /hive/data/genomes/hg19/bed/multiz100way cd /hive/data/genomes/hg19/bed/multiz100way # using the benchmark 100 way.nh file: less ~/kent/src/hg/utils/phyloTrees/benchMark100.nh cp -p ~/kent/src/hg/utils/phyloTrees/benchMark100.nh ./hg19.100way.nh # extract species list from that .nh file sed 's/[a-z][a-z]*_//g; s/:[0-9\.][0-9\.]*//g; s/;//; /^ *$/d' \ hg19.100way.nh | xargs echo | sed 's/ //g; s/,/ /g' \ | sed 's/[()]//g; s/,/ /g' | tr '[ ]' '[\n]' > species.list.txt # using this Common name .nh file in the phyloGif tool: # ~/kent/src/hg/utils/phyloTrees/benchMark100.commonNames.nh # http://genome.ucsc.edu/cgi-bin/phyloGif # to obtain a png image for src/hg/htdocs/images/phylo/mm19_100way.png # construct a common name list: sed -e 's# *##; s#[()]##g; s#:.*##;' \ ~/kent/src/hg/utils/phyloTrees/benchMark100.commonNames.nh \ > hg19.100way.commonName.list # measure done status cat << '_EOF_' > ckDone.sh #!/bin/sh export N=0 paste hg19.100way.commonName.list species.list.txt | grep -v hg19 | while read nameDb do N=`echo $N | awk '{printf "%02d", $1+1}'` db=`echo $nameDb | awk '{print $2}'` name=`echo $nameDb | awk '{print $1}'` Db=`echo $db | sed 's/.*/\u&/'` lzDir=`ls -ogrtd /hive/data/genomes/hg19/bed/lastz${Db}* 2> /dev/null | tail -1 | awk '{print $NF}'` echo -e -n "# ${N} $db\t" if [ "x${lzDir}y" != "xy" ]; then if [ -s ${lzDir}/fb.hg19.chain${Db}Link.txt ]; then hg19Percent=`sed -e 's#.* (##; s#) in .*##;' ${lzDir}/fb.hg19.chain${Db}Link.txt` otherPercent="" echo -e -n "${hg19Percent}" if [ -s "/hive/data/genomes/${db}/bed/blastz.hg19.swap/fb.${db}.chainHg19Link.txt" ]; then otherPercent=`sed -e 's#.* (##; s#) in .*##;' /hive/data/genomes/${db}/bed/blastz.hg19.swap/fb.${db}.chainHg19Link.txt` dateStamp=`ls --full-time -og /hive/data/genomes/${db}/bed/blastz.hg19.swap/fb.${db}.chainHg19Link.txt | awk '{print $4,$5}' | sed -e 's/\.[0-9][0-9]*$//'` echo -e "\t${otherPercent}\t${dateStamp}" else echo -e "\totherPercent" fi else echo working fi else echo to be done fi done '_EOF_' # << happy emacs chmod +x ./ckDone.sh ./ckDone.sh # 01 panTro4 95.279% 95.563% 2013-01-28 17:16:47 Chimp # 02 gorGor3 89.876% 91.109% 2011-10-21 09:46:07 Gorilla # 03 ponAbe2 91.350% 89.617% 2009-06-02 13:10:58 Orangutan # 04 nomLeu3 87.764% 89.943% 2013-03-26 17:45:18 Gibbon # 05 rheMac3 82.859% 88.131% 2012-03-16 11:20:22 Rhesus # 06 macFas5 86.666% 86.757% 2013-06-30 23:15:33 Crab_eating_macaque # 07 papHam1 82.810% 85.825% 2013-07-01 16:31:15 Baboon # 08 chlSab1 86.446% 88.132% 2013-06-30 14:31:23 Green_monkey # 09 calJac3 70.654% 73.768% 2010-02-11 17:13:05 Marmoset # 10 saiBol1 69.598% 78.834% 2013-06-30 20:17:32 Squirrel_monkey # 11 otoGar3 54.830% 65.026% 2013-07-03 12:30:16 Bushbaby # 12 tupChi1 46.558% 50.286% 2013-07-07 14:59:14 Chinese_tree_shrew # 13 speTri2 49.723% 61.693% 2013-08-29 11:46:55 Squirrel # 14 jacJac1 35.106% 40.217% 2013-07-17 08:08:53 Lesser_Egyptian_jerboa # 15 micOch1 32.285% 43.185% 2013-08-27 11:29:15 Prairie_vole # 16 criGri1 33.985% 42.090% 2013-09-03 10:33:23 Chinese_hamster # 17 mesAur1 31.606% 42.784% 2013-09-02 22:14:46 Golden_hamster # 18 mm10 35.249% 38.226% 2012-03-08 12:46:33 Mouse # 19 rn5 31.662% 36.299% 2012-06-28 11:17:33 Rat # 20 hetGla2 47.600% 58.818% 2013-07-17 14:32:23 Mole_rat # 21 cavPor3 43.680% 48.043% 2009-08-31 09:42:19 Guinea_pig # 22 chiLan1 47.012% 57.973% 2013-08-30 10:31:54 Chinchilla # 23 octDeg1 41.385% 47.619% 2013-07-07 20:41:34 Brush_tailed_rat # 24 oryCun2 44.317% 48.405% 2009-08-26 18:32:38 Rabbit # 25 ochPri3 34.676% 49.855% 2013-06-30 23:40:02 Pika # 26 susScr3 45.977% 57.247% 2013-08-29 11:39:26 Pig # 27 vicPac2 50.193% 68.707% 2013-06-18 12:59:49 Alpaca # 28 camFer1 50.419% 71.204% 2013-07-13 09:55:38 Bactrian_camel # 29 turTru2 51.158% 61.364% 2013-08-22 19:12:10 Dolphin # 30 orcOrc1 52.072% 64.296% 2013-08-26 10:37:15 Killer_whale # 31 panHod1 46.863% 52.463% 2013-07-17 14:04:08 Tibetan_antelope # 32 bosTau7 46.971% 49.508% 2012-01-23 17:51:35 Cow # 33 oviAri3 46.833% 51.939% 2013-06-28 10:51:00 Sheep # 34 capHir1 46.498% 52.616% 2013-07-17 14:35:06 Goat # 35 equCab2 57.050% 66.774% 2009-06-07 00:01:11 Horse # 36 cerSim1 58.103% 69.204% 2012-10-23 11:02:24 White_rhinoceros # 37 felCat5 52.426% 61.479% 2013-07-13 21:56:34 Cat # 38 canFam3 51.848% 60.817% 2012-07-04 18:30:38 Dog # 39 musFur1 50.993% 62.328% 2013-07-12 11:27:15 Ferret # 40 ailMel1 50.164% 62.884% 2010-02-05 16:18:11 Panda # 41 odoRosDiv1 53.559% 64.797% 2013-07-13 10:00:44 Pacific_walrus # 42 lepWed1 52.424% 65.567% 2013-07-12 12:55:51 Weddell_seal # 43 pteAle1 49.670% 71.090% 2013-09-03 09:48:39 Black_flying_fox # 44 pteVam1 45.414% 69.685% 2013-07-05 16:34:42 Megabat # 45 myoDav1 39.790% 60.211% 2013-09-02 22:51:42 David's_myotis # 46 myoLuc2 39.886% 59.814% 2013-08-30 10:32:33 Microbat # 47 eptFus1 40.221% 62.128% 2013-09-02 22:18:16 Big_brown_bat # 48 eriEur2 26.149% 31.250% 2013-07-09 12:56:38 Hedgehog # 49 sorAra2 27.681% 35.514% 2013-06-19 10:26:27 Shrew # 50 conCri1 37.034% 60.981% 2013-07-10 14:15:58 Star-nosed_mole # 51 loxAfr3 46.636% 42.430% 2009-07-22 19:56:13 Elephant # 52 eleEdw1 27.675% 24.222% 2013-07-10 10:15:11 Cape_elephant_shrew # 53 triMan1 46.580% 46.912% 2013-07-11 11:50:53 Manatee # 54 chrAsi1 34.209% 29.033% 2013-07-09 17:37:53 Cape_golden_mole # 55 echTel2 30.135% 32.736% 2013-06-26 15:23:14 Tenrec # 56 oryAfe1 41.668% 34.051% 2013-07-09 17:37:45 Aardvark # 57 dasNov3 46.571% 41.884% 2013-07-09 18:07:57 Armadillo # 58 monDom5 14.358% 11.615% 2009-06-15 14:40:30 Opossum # 59 sarHar1 7.414% 6.937% 2013-07-10 15:13:20 Tasmanian_devil # 60 macEug2 6.534% 7.229% 2013-07-11 18:52:40 Wallaby # 61 ornAna1 7.627% 11.259% 2009-06-02 13:49:28 Platypus # 62 falChe1 3.812% 8.232% 2013-06-28 09:25:57 Saker_falcon # 63 falPer1 3.879% 8.365% 2013-06-28 09:29:07 Peregrine_falcon # 64 ficAlb2 3.715% 8.625% 2013-06-29 20:59:02 Collared_flycatcher # 65 zonAlb1 3.476% 8.622% 2013-06-27 09:07:21 White_throated_sparrow # 66 geoFor1 3.503% 8.504% 2012-07-29 16:50:12 Medium_ground_finch # 67 taeGut2 5.321% 11.613% 2013-06-18 11:17:31 Zebra_finch # 68 pseHum1 3.982% 9.685% 2013-06-29 21:00:36 Tibetan_ground_jay # 69 melUnd1 3.577% 8.237% 2013-06-28 11:39:53 Budgerigar # 70 amaVit1 3.298% 7.807% 2013-06-28 10:27:36 Puerto_Rican_parrot # 71 araMac1 2.912% 7.320% 2013-06-30 00:32:23 Scarlet_macaw # 72 colLiv1 3.683% 8.468% 2013-06-29 20:58:08 Rock_pigeon # 73 anaPla1 3.509% 8.215% 2013-06-28 09:26:58 Mallard_duck # 74 galGal4 3.684% 8.990% 2013-06-29 23:50:36 Chicken # 75 melGal1 2.645% 6.637% 2011-03-28 14:43:01 Turkey # 76 allMis1 7.084% 8.120% 2013-06-30 22:51:47 American_Alligator # 77 cheMyd1 3.696% 4.551% 2013-08-28 10:53:39 Green_sea_turtle # 78 chrPic1 3.716% 4.584% 2013-08-30 09:25:04 Painted_turtle # 79 pelSin1 3.268% 4.012% 2013-08-30 09:23:33 Soft_shell_turtle # 80 apaSpi1 2.952% 3.928% 2013-08-28 10:34:30 Spiny_softshell_turtle # 81 anoCar2 3.552% 5.190% 2011-04-19 14:45:48 Lizard # 82 xenTro7 3.153% 6.757% 2013-08-29 10:30:11 Frog_X._tropicalis # 83 latCha1 2.749% 3.419% 2013-07-16 08:39:38 Coelacanth # 84 tetNig2 1.712% 14.194% 2009-08-11 10:13:42 Tetraodon # 85 fr3 1.703% 12.282% 2013-08-20 15:07:40 Fugu # 86 takFla1 1.062% 8.498% 2013-09-02 21:06:45 Yellowbelly_pufferfish # 87 oreNil2 1.832% 6.148% 2013-08-29 10:07:09 Tilapia # 88 neoBri1 1.218% 4.774% 2013-09-03 08:30:34 Princess_of_Burundi # 89 hapBur1 1.221% 4.756% 2013-09-03 08:20:17 Burton's_mouthbreeder # 90 mayZeb1 1.243% 4.684% 2013-09-03 09:22:54 Maylandia_zebra # 91 punNye1 1.219% 4.750% 2013-09-03 08:34:58 Pundamilia_nyererei # 92 oryLat2 1.849% 6.705% 2009-06-02 12:02:22 Medaka # 93 xipMac1 1.842% 7.324% 2013-08-28 10:50:22 Southern_platyfish # 94 gasAcu1 1.916% 11.175% 2009-06-02 11:58:46 Stickleback # 95 gadMor1 1.551% 6.606% 2013-09-02 22:29:08 Atlantic_cod # 96 danRer7 2.790% 6.151% 2010-12-20 11:31:42 Zebrafish # 97 astMex1 1.269% 3.496% 2013-09-03 08:20:50 Mexican_tetra # 98 lepOcu1 1.522% 4.066% 2013-09-03 08:34:05 Spotted_gar # 99 petMar2 1.046% 3.324% 2012-10-17 13:34:36 Lamprey # None of this concern for distances matters in building the first step, the # maf files. # create species list and stripped down tree for autoMZ sed 's/[a-z][a-z]*_//g; s/:[0-9\.][0-9\.]*//g; s/;//; /^ *$/d' \ hg19.100way.nh > tmp.nh echo `cat tmp.nh` > tree-commas.nh echo `cat tree-commas.nh` | sed 's/ //g; s/,/ /g' > tree.nh sed 's/[()]//g; s/,/ /g' tree.nh > species.list # bash shell syntax here ... cd /hive/data/genomes/hg19/bed/multiz100way export H=/hive/data/genomes/hg19/bed mkdir mafLinks cat recipBest.list | while read G do mkdir mafLinks/$G if [ -s ${H}/lastz.${G}/mafRBestNet/chr1.maf.gz ]; then ln -s ${H}/lastz.$G/mafRBestNet/*.maf.gz ./mafLinks/$G else echo "missing lastz.${G}/mafRBestNet/" fi done cat synNet.list | while read G do mkdir mafLinks/$G if [ -s ${H}/lastz.${G}/mafSynNet/chr1.maf.gz ]; then ln -s ${H}/lastz.$G/mafSynNet/*.maf.gz ./mafLinks/$G else echo "missing lastz.${G}/mafSynNet/" fi done cat netOnly.list | while read G do mkdir mafLinks/$G if [ -s ${H}/lastz.${G}/mafNet/chr1.maf.gz ]; then ln -s ${H}/lastz.$G/mafNet/*.maf.gz ./mafLinks/$G else echo "missing lastz.${G}/mafNet/" fi done # verify the alignment type is correct: grep -v hg19 species.list.txt | while read D do ls -l mafLinks/$D/chr1.maf.gz 2> /dev/null | awk '{print $NF}' done # need to split these things up into smaller pieces for # efficient kluster run. mkdir /hive/data/genomes/hg19/bed/multiz100way/mafSplit cd /hive/data/genomes/hg19/bed/multiz100way/mafSplit # mafSplitPos splits on gaps or repeat areas that will not have # any chains, approx 5 Mbp intervals, gaps at least 10,000 mafSplitPos -minGap=10000 hg19 5 stdout | sort -u \ | sort -k1,1 -k2,2n > mafSplit.bed # There is a splitRegions.pl script here (copied from previous hg19 46way) # that can create a custom track from this mafSplit.bed file. # Take a look at that in the browser and see if it looks OK, # check the number of sections on each chrom to verify none are # too large. Despite the claim above, it does appear that some # areas are split where actual chains exist. ./splitRegions.pl mafSplit.bed > splitRegions.ct # to see the sizes of the regions: grep "^chr" splitRegions.ct | awk '{print $3-$2,$0}' | sort -rn | less # run a kluster job to split them all ssh ku cd /hive/data/genomes/hg19/bed/multiz100way/mafSplit cat << '_EOF_' > runOne #!/bin/csh -ef set G = $1 set C = $2 mkdir -p $G pushd $G > /dev/null if ( -s ../../mafLinks/${G}/${C}.maf.gz ) then if ( -s hg19_${C}.00.maf ) then /bin/rm -f hg19_${C}.*.maf endif /cluster/bin/x86_64/mafSplit ../mafSplit.bed hg19_ ../../mafLinks/${G}/${C}.maf.gz /bin/gzip hg19_${C}.*.maf else /bin/touch hg19_${C}.00.maf /bin/gzip hg19_${C}.00.maf endif popd > /dev/null '_EOF_' # << happy emacs chmod +x runOne cat << '_EOF_' > template #LOOP runOne $(root1) $(root2) {check out exists+ $(root1)/hg19_$(root2).00.maf.gz} #ENDLOOP '_EOF_' # << happy emacs for G in `sed -e "s/hg19 //" ../species.list` do echo $G done > species.list cut -f 1 ../../../chrom.sizes > chr.list gensub2 species.list chr.list template jobList para -ram=8g create jobList para try ... check ... push ... etc... # Completed: 3894 of 3894 jobs # CPU time in finished jobs: 18929s 315.49m 5.26h 0.22d 0.001 y # IO & Wait Time: 62908s 1048.46m 17.47h 0.73d 0.002 y # Average job time: 21s 0.35m 0.01h 0.00d # Longest finished job: 346s 5.77m 0.10h 0.00d # Submission to last job: 471s 7.85m 0.13h 0.01d # construct a list of all possible maf file names. # they do not all exist in each of the species directories find . -type f | grep "maf.gz" | wc -l # 39882 find . -type f | grep ".maf.gz$" | xargs -L 1 basename | sort -u > maf.list wc -l maf.list # 403 maf.list mkdir /hive/data/genomes/hg19/bed/multiz100way/splitRun cd /hive/data/genomes/hg19/bed/multiz100way/splitRun mkdir maf run cd run mkdir penn cp -p /cluster/bin/penn/multiz.2009-01-21/multiz penn cp -p /cluster/bin/penn/multiz.2009-01-21/maf_project penn cp -p /cluster/bin/penn/multiz.2009-01-21/autoMZ penn # set the db and pairs directories here cat > autoMultiz.csh << '_EOF_' #!/bin/csh -ef set db = hg19 set c = $1 set result = $2 set run = `/bin/pwd` set tmp = /dev/shm/$db/multiz.$c set pairs = /hive/data/genomes/hg19/bed/multiz100way/mafSplit /bin/rm -fr $tmp /bin/mkdir -p $tmp /bin/cp -p ../../tree.nh ../../species.list $tmp pushd $tmp > /dev/null foreach s (`/bin/sed -e "s/$db //" species.list`) set in = $pairs/$s/$c set out = $db.$s.sing.maf if (-e $in.gz) then /bin/zcat $in.gz > $out if (! -s $out) then echo "##maf version=1 scoring=autoMZ" > $out endif else if (-e $in) then /bin/ln -s $in $out else echo "##maf version=1 scoring=autoMZ" > $out endif end set path = ($run/penn $path); rehash $run/penn/autoMZ + T=$tmp E=$db "`cat tree.nh`" $db.*.sing.maf $c \ > /dev/null popd > /dev/null /bin/rm -f $result /bin/cp -p $tmp/$c $result /bin/rm -fr $tmp /bin/rmdir --ignore-fail-on-non-empty /dev/shm/$db '_EOF_' # << happy emacs chmod +x autoMultiz.csh cat << '_EOF_' > template #LOOP ./autoMultiz.csh $(root1) {check out line+ /hive/data/genomes/hg19/bed/multiz100way/splitRun/maf/$(root1)} #ENDLOOP '_EOF_' # << happy emacs ln -s ../../mafSplit/maf.list maf.list ssh ku cd /hive/data/genomes/hg19/bed/multiz100way/splitRun/run gensub2 maf.list single template stdout > jobList # allocate 2 CPUs to allow only 16 of these jobs at a time on a 32 CPU node para -cpu=2 create jobList # limit number of total jobs at a time to leave at least 3/4 the cluster # free for other work 64 jobs at 2 CPUs/job == 128 CPUs consumed # of the total pool of 512 CPUs in the cluster: para -maxJob=64 push # Completed: 398 of 403 jobs # Crashed: 5 jobs # CPU time in finished jobs: 11445606s 190760.10m 3179.34h 132.47d 0.363 y # IO & Wait Time: 17567s 292.78m 4.88h 0.20d 0.001 y # Average job time: 28802s 480.03m 8.00h 0.33d # Longest finished job: 87903s 1465.05m 24.42h 1.02d # Submission to last job: 245779s 4096.32m 68.27h 2.84d # last five jobs run on hgwdev: cd /hive/data/genomes/hg19/bed/multiz100way/splitRun/run time ./last5.sh > last5.log 2>&1 # real 2373m23.562s # put the split maf results back together into a single maf file # eliminate duplicate comments ssh hgwdev cd /hive/data/genomes/hg19/bed/multiz100way/splitRun mkdir ../maf # no need to save the comments since they are lost with mafAddIRows cat << '_EOF_' >> runOne #!/bin/csh -fe set C = $1 if ( -s ../maf/${C}.maf.gz ) then rm -f ../maf/${C}.maf.gz endif head -q -n 1 maf/hg19_${C}.00.maf | sort -u > ../maf/${C}.maf grep -h -v "^#" `ls maf/hg19_${C}.*.maf | sort -t. -k2,2n` >> ../maf/${C}.maf tail -q -n 1 maf/hg19_${C}.00.maf | sort -u >> ../maf/${C}.maf '_EOF_' # << happy emacs chmod +x runOne cat << '_EOF_' >> template #LOOP runOne $(root1) {check out exists+ ../maf/$(root1).maf} #ENDLOOP '_EOF_' # << happy emacs cut -f1 ../../../chrom.sizes > chr.list ssh ku cd /hive/data/genomes/hg19/bed/multiz100way/splitRun gensub2 chr.list single template jobList para -ram=8g create jobList para try ... check ... push ... etc ... # Completed: 62 of 66 jobs # Crashed: 4 jobs # CPU time in finished jobs: 461s 7.68m 0.13h 0.01d 0.000 y # IO & Wait Time: 17863s 297.72m 4.96h 0.21d 0.001 y # Average job time: 296s 4.93m 0.08h 0.00d # Longest finished job: 1144s 19.07m 0.32h 0.01d # Submission to last job: 1156s 19.27m 0.32h 0.01d # these four have empty results: # chrUn_GL456383 # chrUn_GL456389 # chrUn_GL456390 # chrUn_GL456396 # Load into database ssh hgwdev mkdir -p /gbdb/hg19/multiz100way/maf cd /hive/data/genomes/hg19/bed/multiz100way/maf ln -s `pwd`/*.maf /gbdb/hg19/multiz100way/maf/ # this generates an immense multiz100way.tab file in the directory # where it is running. Best to run this over in scratch. # This is going to take all day. cd /dev/shm time hgLoadMaf -pathPrefix=/gbdb/hg19/multiz100way/maf hg19 multiz100way # Loaded 82655835 mafs in 89 files from /gbdb/hg19/multiz100way/maf # real 79m31.028s # -rw-rw-r-- 1 4703102815 Sep 9 11:21 multiz100way.tab # reload 'fixed' maf file 2014-02-06 # Loaded 110907342 mafs in 93 files from /gbdb/hg19/multiz100way/maf # real 368m1.988s # -rw-rw-r-- 1 6307041335 Feb 6 16:17 multiz100way.tab wc -l multiz100way.tab # 110907342 multiz100way.tab # reloading new tables 2014-02-07 time (cat /gbdb/hg19/multiz100way/maf/*.maf \ | nice -n +19 $HOME/kent/src/hg/makeDb/hgLoadMaf/hgLoadMafSummary \ -verbose=2 -minSize=30000 \ -mergeGap=1500 -maxSize=200000 hg19 multiz100waySummary stdin) # Created 17161359 summary blocks from 3983260014 components and 110907342 mafs from stdin # real 242m0.403s # -rw-rw-r-- 1 811621935 Feb 7 12:16 multiz100waySummary.tab # Created 13514621 summary blocks from 2957351868 components and 82655835 mafs from stdin # real 143m55.432s wc -l multiz100way*.tab # 110907342 multiz100way.tab # 17161359 multiz100waySummary.tab # 128068701 total # 82655835 multiz100way.tab # 13514621 multiz100waySummary.tab # 96170456 total # -rw-rw-r-- 1 4703102815 Sep 9 11:21 multiz100way.tab # -rw-rw-r-- 1 640169193 Sep 10 09:08 multiz100waySummary.tab rm multiz100way*.tab ####################################################################### # GAP ANNOTATE MULTIZ9WAY MAF AND LOAD TABLES (DONE - 2012-05-31 - Hiram) # mafAddIRows has to be run on single chromosome maf files, it does not # function correctly when more than one reference sequence # are in a single file. mkdir -p /hive/data/genomes/hg19/bed/multiz100way/anno cd /hive/data/genomes/hg19/bed/multiz100way/anno cd /hive/data/genomes/hg19/bed/multiz100way/anno # check for N.bed files everywhere: for DB in `cat ../species.list` do if [ ! -s /hive/data/genomes/${DB}/${DB}.N.bed ]; then echo "MISS: ${DB}" cd /hive/data/genomes/${DB} twoBitInfo -nBed ${DB}.2bit ${DB}.N.bed else echo " OK: ${DB}" fi done cd /hive/data/genomes/hg19/bed/multiz100way/anno for DB in `cat ../species.list` do echo "${DB} " ln -s /hive/data/genomes/${DB}/${DB}.N.bed ${DB}.bed echo ${DB}.bed >> nBeds ln -s /hive/data/genomes/${DB}/chrom.sizes ${DB}.len echo ${DB}.len >> sizes done # make sure they all are successful symLinks: ls -ogrtL *.bed | wc -l # 100 screen -S hg19 # use a screen to control this longish job ssh ku cd /hive/data/genomes/hg19/bed/multiz100way/anno mkdir result cat << '_EOF_' > template #LOOP mafAddIRows -nBeds=nBeds $(path1) /hive/data/genomes/hg19/hg19.2bit {check out line+ result/$(file1)} #ENDLOOP '_EOF_' # << happy emacs ls ../maf/*.maf > maf.list # the tac puts the short jobs first gensub2 maf.list single template stdout | tac > jobList # no need to limit these jobs, there are only 93 of them para create jobList para try ... check ... push ... # Completed: 70 of 89 jobs # Crashed: 19 jobs # CPU time in finished jobs: 1027s 17.12m 0.29h 0.01d 0.000 y # IO & Wait Time: 4532s 75.53m 1.26h 0.05d 0.000 y # Average job time: 79s 1.32m 0.02h 0.00d # Longest finished job: 370s 6.17m 0.10h 0.00d # Submission to last job: 552s 9.20m 0.15h 0.01d # a number of these jobs did not finish due to memory limitations. # Run the rest manually on hgwdev: #!/bin/sh # 200 Gb memory limits export sizeG=200000000 ulimit -d $sizeG ulimit -v $sizeG mafAddIRows -nBeds=nBeds ../maf/chr7.maf /hive/data/genomes/hg19/hg19.2bit result/chr7.maf & mafAddIRows -nBeds=nBeds ../maf/chr5.maf /hive/data/genomes/hg19/hg19.2bit result/chr5.maf & mafAddIRows -nBeds=nBeds ../maf/chr4.maf /hive/data/genomes/hg19/hg19.2bit result/chr4.maf & mafAddIRows -nBeds=nBeds ../maf/chr3.maf /hive/data/genomes/hg19/hg19.2bit result/chr3.maf & mafAddIRows -nBeds=nBeds ../maf/chr22.maf /hive/data/genomes/hg19/hg19.2bit result/chr22.maf & wait mafAddIRows -nBeds=nBeds ../maf/chr21.maf /hive/data/genomes/hg19/hg19.2bit result/chr21.maf & mafAddIRows -nBeds=nBeds ../maf/chr20.maf /hive/data/genomes/hg19/hg19.2bit result/chr20.maf & mafAddIRows -nBeds=nBeds ../maf/chr2.maf /hive/data/genomes/hg19/hg19.2bit result/chr2.maf & mafAddIRows -nBeds=nBeds ../maf/chr19.maf /hive/data/genomes/hg19/hg19.2bit result/chr19.maf & mafAddIRows -nBeds=nBeds ../maf/chr18.maf /hive/data/genomes/hg19/hg19.2bit result/chr18.maf & wait mafAddIRows -nBeds=nBeds ../maf/chr17.maf /hive/data/genomes/hg19/hg19.2bit result/chr17.maf & mafAddIRows -nBeds=nBeds ../maf/chr16.maf /hive/data/genomes/hg19/hg19.2bit result/chr16.maf & mafAddIRows -nBeds=nBeds ../maf/chr15.maf /hive/data/genomes/hg19/hg19.2bit result/chr15.maf & mafAddIRows -nBeds=nBeds ../maf/chr14.maf /hive/data/genomes/hg19/hg19.2bit result/chr14.maf & mafAddIRows -nBeds=nBeds ../maf/chr13.maf /hive/data/genomes/hg19/hg19.2bit result/chr13.maf & wait mafAddIRows -nBeds=nBeds ../maf/chr12.maf /hive/data/genomes/hg19/hg19.2bit result/chr12.maf & mafAddIRows -nBeds=nBeds ../maf/chr11.maf /hive/data/genomes/hg19/hg19.2bit result/chr11.maf & mafAddIRows -nBeds=nBeds ../maf/chr10.maf /hive/data/genomes/hg19/hg19.2bit result/chr10.maf & mafAddIRows -nBeds=nBeds ../maf/chr1.maf /hive/data/genomes/hg19/hg19.2bit result/chr1.maf & wait # the run time for those 31 jobs: # real 337m11.544s # user 788m52.885s # sys 51m9.670s # and few more: chrX chr9 chr6 chr8 chr5 chr3 # real 90m49.567s # user 313m55.725s # sys 17m12.812s # chr2 last one took about 70 minutes # second reload 2014-02-07, on hgwdev 19 jobs: cd /hive/data/genomes/hg19/bed/multiz100way/anno time ./highMemJobs.sh > highMemJobs.log 2>&1 # real 473m47.404s # user 1072m8.810s # sys 30m45.768s # verify all result files have some content, look for 0 size files: find . -type f -size 0 # should see none # construct symlinks to get the individual maf files into gbdb: mkdir /gbdb/hg19/multiz100way/maf ln -s `pwd`/result/*.maf `pwd`/hgwdev/*.maf /gbdb/hg19/multiz100way/maf/ # Load into database rm /gbdb/hg19/multiz100way/*.maf # remove previous results cd /scratch/tmp time nice -n +19 hgLoadMaf -pathPrefix=/gbdb/hg19/multiz100way/maf \ hg19 multiz100way # Loaded 110940480 mafs in 93 files from /gbdb/hg19/multiz100way/maf # real 190m10.878s -rw-rw-r-- 1 6346988863 Feb 7 19:20 multiz100way.tab # Loaded 107446955 mafs in 93 files from /gbdb/hg19/multiz100way/maf # real 393m34.571s # user 155m49.137s # sys 7m9.102s time (cat /gbdb/hg19/multiz100way/maf/*.maf \ | hgLoadMafSummary -verbose=2 -minSize=30000 \ -mergeGap=1500 -maxSize=200000 hg19 multiz100waySummary stdin) # second time around, 2014-02-05: # Created 17161359 summary blocks from 3983260014 components and 110940480 mafs from stdin # real 259m56.225s # user 236m54.551s # sys 19m27.053s # -rw-rw-r-- 1 6346988863 Feb 7 19:20 multiz100way.tab # -rw-rw-r-- 1 845944653 Feb 8 12:22 multiz100waySummary.tab # Created 17164313 summary blocks from 3766509527 components and 107446955 mafs from stdin # real 452m41.332s # user 229m13.460s # sys 19m0.104s # -rw-rw-r-- 1 6145982941 Sep 11 17:36 multiz100way.tab # -rw-rw-r-- 1 846085633 Sep 12 05:50 multiz100waySummary.tab wc -l *.tab # second time around, 2014-02-05: # 110940480 multiz100way.tab # 17161359 multiz100waySummary.tab # 128101839 total # 107446955 multiz100way.tab # 17164313 multiz100waySummary.tab # 124611268 total rm multiz100way*.tab ####################################################################### # MULTIZ 100way MAF FRAMES (DONE - 2013-09-14 - Hiram) ssh hgwdev mkdir /hive/data/genomes/hg19/bed/multiz100way/frames cd /hive/data/genomes/hg19/bed/multiz100way/frames # survey all the genomes to find out what kinds of gene tracks they have cat << '_EOF_' > showGenes.csh #!/bin/csh -fe foreach db (`cat ../species.list`) echo -n "${db}: " set tables = `hgsql $db -N -e "show tables like '%Gene%'"` foreach table ($tables) if ($table == "ensGene" || $table == "refGene" || \ $table == "mgcGenes" || $table == "ensGene" || \ $table == "xenoRefGene" ) then set count = `hgsql $db -N -e "select count(*) from $table"` echo -n "${table}: ${count}, " endif end set orgName = `hgsql hgcentraltest -N -e \ "select scientificName from dbDb where name='$db'"` set orgId = `hgsql hg19 -N -e \ "select id from organism where name='$orgName'"` if ($orgId == "") then echo "Mrnas: 0" else set count = `hgsql hg19 -N -e "select count(*) from gbCdnaInfo where organism=$orgId"` echo "Mrnas: ${count}" endif end '_EOF_' # << happy emacs chmod +x ./showGenes.csh time ./showGenes.csh > showGenes.txt # real 9m11.678s # rearrange that output to create four sections, and place these names # in .list files here: # 1. ensGene: hg19 # 2. refGene: bosTau7 danRer7 galGal4 hg19 rheMac3 rn5 susScr3 xenTro3 # 3. ensGene: ailMel1 anoCar2 calJac3 cavPor3 choHof1 dipOrd1 echTel1 # equCab2 eriEur1 fr3 gasAcu1 gorGor3 loxAfr3 melGal1 # micMur1 monDom5 myoLuc2 ochPri2 ornAna1 oryCun2 oryLat2 # panTro4 ponAbe2 proCap1 pteVam1 sorAra1 taeGut1 tarSyr1 # tetNig2 tupBel1 vicPac1 # 4. xenoRefGene: canFam3 chrPic1 dasNov3 felCat5 hetGla2 latCha1 macEug2 # nomLeu2 otoGar3 oviAri1 papHam1 petMar1 saiBol1 sarHar1 # triMan1 # 5. genscan: gadMor1 melUnd1 oreNil2 speTri2 turTru2 mkdir genes # 1. ensGene: hg19 and mm10 for DB in hg19 mm10 do hgsql -N -e "select name,chrom,strand,txStart,txEnd,cdsStart,cdsEnd,exonCount,exonStarts,exonEnds from ensGene" ${DB} \ | genePredSingleCover stdin stdout | gzip -2c \ > genes/${DB}.gp.gz done # 2. refGene, xenTro7 and bosTau7 want the full extended genePred: for DB in `cat refGene.list` do hgsql -N -e "select * from refGene" ${DB} | cut -f2- \ | genePredSingleCover stdin stdout | gzip -2c \ > /scratch/tmp/${DB}.tmp.gz mv /scratch/tmp/${DB}.tmp.gz genes/$DB.gp.gz echo "${DB} done" done # 3. ensGene, want the full extended genePred: # ailMel1 anaPla1 anoCar2 calJac3 canFam3 danRer7 equCab2 felCat5 fr3 # gadMor1 galGal4 gorGor3 latCha1 loxAfr3 musFur1 myoLuc2 ornAna1 oryLat2 # otoGar3 panTro4 pelSin1 petMar2 ponAbe2 pteVam1 rn5 sarHar1 speTri2 # susScr3 tetNig2 xipMac1 for DB in `cat ensGene.list` do hgsql -N -e "select * from ensGene" ${DB} | cut -f2- \ | genePredSingleCover stdin stdout | gzip -2c \ > /scratch/tmp/${DB}.tmp.gz mv /scratch/tmp/${DB}.tmp.gz genes/$DB.gp.gz echo "${DB} done" done # 4. nscanGene, want the full extended genePred: # cavPor3 gasAcu1 melGal1 monDom5 oryCun2 for DB in `cat nscan.list` do hgsql -N -e "select * from nscanGene" ${DB} | cut -f2- \ | genePredSingleCover stdin stdout | gzip -2c \ > /scratch/tmp/${DB}.tmp.gz mv /scratch/tmp/${DB}.tmp.gz genes/$DB.gp.gz echo "${DB} done" done # verify counts for genes are reasonable: for T in genes/*.gz do echo -n "# $T: " zcat $T | cut -f1 | sort | uniq -c | wc -l done # genes/ailMel1.gp.gz: 19204 # genes/anaPla1.gp.gz: 15482 # genes/anoCar2.gp.gz: 18532 # genes/bosTau7.gp.gz: 12995 # genes/calJac3.gp.gz: 20843 # genes/canFam3.gp.gz: 19507 ... etc ... # genes/pteVam1.gp.gz: 16966 # genes/rn5.gp.gz: 22864 # genes/sarHar1.gp.gz: 18663 # genes/speTri2.gp.gz: 18796 # genes/susScr3.gp.gz: 21596 # genes/tetNig2.gp.gz: 19539 # genes/xenTro7.gp.gz: 8393 # genes/xipMac1.gp.gz: 20320 # kluster job to annotate each maf file screen -S hg19 # manage long running procedure with screen ssh ku cd /hive/data/genomes/hg19/bed/multiz100way/frames cat << '_EOF_' > runOne #!/bin/csh -fe set C = $1 set G = $2 cat ../maf/${C}.maf | genePredToMafFrames hg19 stdin stdout \ ${G} genes/${G}.gp.gz | gzip > parts/${C}.${G}.mafFrames.gz '_EOF_' # << happy emacs chmod +x runOne ls ../maf | sed -e "s/.maf//" > chr.list ls genes | sed -e "s/.gp.gz//" > gene.list cat << '_EOF_' > template #LOOP runOne $(root1) $(root2) {check out exists+ parts/$(root1).$(root2).mafFrames.gz} #ENDLOOP '_EOF_' # << happy emacs mkdir parts gensub2 chr.list gene.list template jobList para create jobList para try ... check ... push # second time around 2014-02-08 # Completed: 3627 of 3627 jobs # CPU time in finished jobs: 215439s 3590.66m 59.84h 2.49d 0.007 y # IO & Wait Time: 1153600s 19226.66m 320.44h 13.35d 0.037 y # Average job time: 377s 6.29m 0.10h 0.00d # Longest finished job: 6108s 101.80m 1.70h 0.07d # Submission to last job: 17703s 295.05m 4.92h 0.20d # Completed: 3627 of 3627 jobs # CPU time in finished jobs: 213502s 3558.37m 59.31h 2.47d 0.007 y # IO & Wait Time: 10242520s 170708.66m 2845.14h 118.55d 0.325 y # Average job time: 2883s 48.05m 0.80h 0.03d # Longest finished job: 28625s 477.08m 7.95h 0.33d # Submission to last job: 60992s 1016.53m 16.94h 0.71d # collect all results into one file: cd /hive/data/genomes/hg19/bed/multiz100way/frames find ./parts -type f | while read F do zcat ${F} done | sort -k1,1 -k2,2n > multiz100wayFrames.bed # -rw-rw-r-- 1 857488422 Feb 8 08:08 multiz100wayFrames.bed # verify there are frames on everything that we asked for: cut -f4 multiz100wayFrames.bed | sort | uniq -c | sort -n \ > annotation.survey.txt # should be 39 species: wc -l annotation.survey.txt # 39 annotation.survey.txt # and the minimum numbers: head annotation.survey.txt # 155538 bosTau7 # 181247 oryCun2 # 192009 panTro4 # 196260 gorGor3 # 200210 ponAbe2 # 200763 hg19 # 212618 xenTro7 # ... etc ... # previously, the ailMel1 low count should have been seen as an error: # 317 ailMel1 <- this is a bit odd # 202537 bosTau7 # 230400 xenTro7 # 237422 oryCun2 # load the resulting file ssh hgwdev cd /hive/data/genomes/hg19/bed/multiz100way/frames time gzip multiz100wayFrames.bed # real 0m32.261s time hgLoadMafFrames hg19 multiz100wayFrames multiz100wayFrames.bed.gz # real 2m29.934s # second time around: time featureBits -countGaps hg19 multiz100wayFrames # 67663535 bases of 3137161264 (2.157%) in intersection # real 1m24.320s # first time: # 66293515 bases of 3137161264 (2.113%) in intersection # real 1m31.403s # enable the trackDb entries: # frames multiz100wayFrames # irows on # appears to work OK ######################################################################### # Phylogenetic tree from 100-way (DONE - 2013-09-13 - Hiram) mkdir /hive/data/genomes/hg19/bed/multiz100way/4d cd /hive/data/genomes/hg19/bed/multiz100way/4d # the annotated maf's are in: ../anno/result/*.maf # using ensGene for hg19, only transcribed genes and nothing # from the randoms and other misc. hgsql -Ne "select name,chrom,strand,txStart,txEnd,cdsStart,cdsEnd,exonCount,exonStarts,exonEnds from ensGene where cdsEnd > cdsStart;" hg19 \ | egrep -E -v "chrM|chrUn|random|_hap" > ensGene.gp wc -l *.gp 60396 ensGene.gp # verify it is only on the chroms: cut -f2 ensGene.gp | sort | uniq -c | sort -rn # 6323 chr1 # 3965 chr2 # 3872 chr19 # 3670 chr11 # 3538 chr17 # 3484 chr3 # 3144 chr12 # 3099 chr6 # 2878 chr7 # 2578 chr5 # 2541 chr16 # 2534 chr10 # 2434 chrX # 2401 chr9 # 2247 chr4 # 2043 chr14 # 1967 chr8 # 1875 chr15 # 1609 chr20 # 1363 chr22 # 942 chr13 # 891 chr18 # 690 chr21 # 308 chrY # first time: # 7967 chr1 # 5092 chr2 # 4711 chr19 # ... etc ... # 1178 chr18 # 954 chr21 # 452 chrY genePredSingleCover ensGene.gp stdout | sort > ensGeneNR.gp wc -l ensGeneNR.gp # 20031 ensGeneNR.gp ssh ku mkdir /hive/data/genomes/hg19/bed/multiz100way/4d/run cd /hive/data/genomes/hg19/bed/multiz100way/4d/run mkdir ../mfa # newer versions of msa_view have a slightly different operation # the sed of the gp file inserts the reference species in the chr name cat << '_EOF_' > 4d.csh #!/bin/csh -fe set PHASTBIN = /cluster/bin/phast.build/cornellCVS/phast.2010-12-30/bin set r = "/hive/data/genomes/hg19/bed/multiz100way" set c = $1 set infile = $r/anno/result/$2 set outfile = $3 cd /dev/shm # 'clean' maf, removes all chrom names, leaves only the db name perl -wpe 's/^s ([^.]+)\.\S+/s $1/' $infile > $c.maf awk -v C=$c '$2 == C {print}' $r/4d/ensGeneNR.gp | sed -e "s/\t$c\t/\thg19.$c\t/" > $c.gp set NL=`wc -l $c.gp| gawk '{print $1}'` if ("$NL" != "0") then $PHASTBIN/msa_view --4d --features $c.gp -i MAF $c.maf -o SS > $c.ss $PHASTBIN/msa_view -i SS --tuple-size 1 $c.ss > $r/4d/run/$outfile else echo "" > $r/4d/run/$outfile endif rm -f $c.gp $c.maf $c.ss '_EOF_' # << happy emacs chmod +x 4d.csh ls -1S /hive/data/genomes/hg19/bed/multiz100way/anno/result/*.maf \ | sed -e "s#.*multiz100way/anno/result/##" \ | egrep -E -v "chrM|chrUn|random|_hap" > maf.list cat << '_EOF_' > template #LOOP 4d.csh $(root1) $(path1) {check out line+ ../mfa/$(root1).mfa} #ENDLOOP '_EOF_' # << happy emacs # the tac puts the shorter jobs at the front gensub2 maf.list single template stdout | tac > jobList para create jobList para try ... check para -maxJob=5 push para time # second time: # Completed: 24 of 24 jobs # CPU time in finished jobs: 43524s 725.41m 12.09h 0.50d 0.001 y # IO & Wait Time: 2537s 42.28m 0.70h 0.03d 0.000 y # Average job time: 1919s 31.99m 0.53h 0.02d # Longest finished job: 3948s 65.80m 1.10h 0.05d # Submission to last job: 4133s 68.88m 1.15h 0.05d # first time: # Completed: 24 of 24 jobs # CPU time in finished jobs: 38593s 643.22m 10.72h 0.45d 0.001 y # IO & Wait Time: 411016s 6850.26m 114.17h 4.76d 0.013 y # Average job time: 18734s 312.23m 5.20h 0.22d # Longest finished job: 44666s 744.43m 12.41h 0.52d # Submission to last job: 60542s 1009.03m 16.82h 0.70d # combine mfa files ssh hgwdev cd /hive/data/genomes/hg19/bed/multiz100way/4d # remove the broken empty files, size 0 and size 1: find ./mfa -type f -size 0 | xargs rm -f # most interesting, this did not identify files of size 1: # find ./mfa -type f -size 1 ls -og mfa | awk '$3 == 1' | awk '{print $NF}' > empty.list sed -e "s#^#mfa/##" empty.list | xargs rm -f #want comma-less species.list time /cluster/bin/phast.build/cornellCVS/phast.2010-12-30/bin/msa_view \ --aggregate "`cat ../species.list`" mfa/*.mfa | sed s/"> "/">"/ \ > 4d.all.mfa # check they are all in there: grep "^>" 4d.all.mfa | wc -l # 100 # use phyloFit to create tree model (output is phyloFit.mod) time nice -n +19 \ /cluster/bin/phast.build/cornellCVS/phast.2010-12-30/bin/phyloFit \ --EM --precision MED --msa-format FASTA --subst-mod REV \ --tree ../tree-commas.nh 4d.all.mfa # real 223m18.088s # second time 2014-02-09: # real 212m12.485s mv phyloFit.mod all.mod grep TREE all.mod ####################################################################### # phastCons 60-way (DONE - 2012-06-12, 2012-08-21 - Hiram) # was unable to split the full chrom MAF files, now working on the # maf files as they were split up during multiz # split 100way mafs into 10M chunks and generate sufficient statistics # files for # phastCons ssh ku mkdir -p /hive/data/genomes/hg19/bed/multiz100way/cons/ss mkdir -p /hive/data/genomes/hg19/bed/multiz100way/cons/msa.split cd /hive/data/genomes/hg19/bed/multiz100way/cons/msa.split cat << '_EOF_' > doSplit.csh #!/bin/csh -ef set c = $1 set MAF = /hive/data/genomes/hg19/bed/multiz100way/anno/result/$c.maf set WINDOWS = /hive/data/genomes/hg19/bed/multiz100way/cons/ss/$c set WC = `cat $MAF | wc -l` set NL = `grep "^#" $MAF | wc -l` if ( -s $2 ) then exit 0 endif if ( -s $2.running ) then exit 0 endif date >> $2.running rm -fr $WINDOWS mkdir $WINDOWS pushd $WINDOWS > /dev/null if ( $WC != $NL ) then /cluster/bin/phast.build/cornellCVS/phast.2010-12-30/bin/msa_split \ $MAF -i MAF -o SS -r $WINDOWS/$c -w 10000000,0 -I 1000 -B 5000 endif popd > /dev/null date >> $2 rm -f $2.running '_EOF_' # << happy emacs chmod +x doSplit.csh cat << '_EOF_' > template #LOOP doSplit.csh $(root1) {check out line+ $(root1).done} #ENDLOOP '_EOF_' # << happy emacs # do the easy ones first to see some immediate results ls -1S -r ../../anno/result | sed -e "s/.maf//;" > maf.list gensub2 maf.list single template jobList para create jobList para try ... check ... etc para push # running the last big ones on hgwdev - Sat Sep 14 10:30:34 PDT 2013 # Completed: 64 of 66 jobs # Crashed: 2 jobs # CPU time in finished jobs: 347730s 5795.49m 96.59h 4.02d 0.011 y # IO & Wait Time: 102813s 1713.56m 28.56h 1.19d 0.003 y # Average job time: 7040s 117.33m 1.96h 0.08d # Longest finished job: 42666s 711.10m 11.85h 0.49d # Submission to last job: 150336s 2505.60m 41.76h 1.74d # finish the last 23 jobs on hgwdev with more memory. #!/bin/sh # limit 200 Gb export M=200000000 ulimit -S -m $M -v $M ./doSplit.csh chr21 chr21.done & ./doSplit.csh chr22 chr22.done wait ./doSplit.csh chr19 chr19.done & ./doSplit.csh chr20 chr20.done wait ... etc ... # running the final 23 jobs on hgwdev, two at a time: # real 1739m11.579s # user 2286m40.633s # sys 52m30.012s # second time around chr1 thru chr8: time ./lastJobs.sh > lastJobs.log 2>&1 # real 383m21.628s # user 1447m51.415s # sys 17m44.578s # Run phastCons # This job is I/O intensive in its output files, beware where this # takes place or do not run too many at once. ssh ku mkdir -p /hive/data/genomes/hg19/bed/multiz100way/cons/run.cons cd /hive/data/genomes/hg19/bed/multiz100way/cons/run.cons # there are going to be several different phastCons runs using # this same script. They trigger off of the current working directory # $cwd:t which is the "grp" in this script. It is one of: # all glire glirePrimate glirePrimatePlacental cat << '_EOF_' > doPhast.csh #!/bin/csh -fe set PHASTBIN = /cluster/bin/phast.build/cornellCVS/phast.2010-12-30/bin set c = $1 set f = $2 set len = $3 set cov = $4 set rho = $5 set grp = $cwd:t set cons = /hive/data/genomes/hg19/bed/multiz100way/cons set tmp = $cons/tmp/$f mkdir -p $tmp set ssSrc = $cons/ss set useGrp = "$grp.mod" if (-s $cons/$grp/$grp.non-inf) then ln -s $cons/$grp/$grp.mod $tmp ln -s $cons/$grp/$grp.non-inf $tmp ln -s $ssSrc/$c/$f.ss $tmp else ln -s $ssSrc/$c/$f.ss $tmp ln -s $cons/$grp/$grp.mod $tmp endif pushd $tmp > /dev/null if (-s $grp.non-inf) then $PHASTBIN/phastCons $f.ss $useGrp \ --rho $rho --expected-length $len --target-coverage $cov --quiet \ --not-informative `cat $grp.non-inf` \ --seqname $c --idpref $c --most-conserved $f.bed --score > $f.pp else $PHASTBIN/phastCons $f.ss $useGrp \ --rho $rho --expected-length $len --target-coverage $cov --quiet \ --seqname $c --idpref $c --most-conserved $f.bed --score > $f.pp endif popd > /dev/null mkdir -p pp/$c bed/$c sleep 4 touch pp/$c bed/$c rm -f pp/$c/$f.pp rm -f bed/$c/$f.bed mv $tmp/$f.pp pp/$c mv $tmp/$f.bed bed/$c rm -fr $tmp '_EOF_' # << happy emacs chmod a+x doPhast.csh # this template will serve for all runs # root1 == chrom name, file1 == ss file name without .ss suffix cat << '_EOF_' > template #LOOP ../run.cons/doPhast.csh $(root1) $(file1) 45 0.3 0.3 {check out line+ pp/$(root1)/$(file1).pp} #ENDLOOP '_EOF_' # << happy emacs ls -1S ../ss/chr*/chr* | sed -e "s/.ss$//" > ss.list # Create parasol batch and run it ############################ run for all species cd /hive/data/genomes/hg19/bed/multiz100way/cons mkdir all cd all cp -p ../../4d/all.mod ./all.mod gensub2 ../run.cons/ss.list single ../run.cons/template jobList para -ram=8g create jobList para try ... check ... push ... etc. # Completed: 377 of 377 jobs # CPU time in finished jobs: 124523s 2075.38m 34.59h 1.44d 0.004 y # IO & Wait Time: 28923s 482.06m 8.03h 0.33d 0.001 y # Average job time: 407s 6.78m 0.11h 0.00d # Longest finished job: 873s 14.55m 0.24h 0.01d # Submission to last job: 4792s 79.87m 1.33h 0.06d # second time 2014-02-09: # Completed: 377 of 377 jobs # CPU time in finished jobs: 123749s 2062.49m 34.37h 1.43d 0.004 y # IO & Wait Time: 32295s 538.24m 8.97h 0.37d 0.001 y # Average job time: 414s 6.90m 0.11h 0.00d # Longest finished job: 726s 12.10m 0.20h 0.01d # Submission to last job: 2332s 38.87m 0.65h 0.03d # create Most Conserved track cd /hive/data/genomes/hg19/bed/multiz100way/cons/all time cut -f1 ../../../../chrom.sizes | while read C do ls -d bed/${C} 2> /dev/null | while read D do cat ${D}/${C}*.bed done | sort -k1,1 -k2,2n \ | awk '{printf "%s\t%d\t%d\tlod=%d\t%s\n", "'${C}'", $2, $3, $5, $5;}' done > tmpMostConserved.bed # real 1m31.673s # -rw-rw-r-- 1 346958126 Feb 9 20:19 tmpMostConserved.bed # -rw-rw-r-- 1 346487128 Sep 15 21:03 tmpMostConserved.bed time /cluster/bin/scripts/lodToBedScore tmpMostConserved.bed \ > mostConserved.bed # real 1m25.027s # -rw-rw-r-- 1 355755569 Feb 9 20:21 mostConserved.bed # -rw-rw-r-- 1 355270467 Sep 15 21:07 mostConserved.bed # load into database ssh hgwdev cd /hive/data/genomes/hg19/bed/multiz100way/cons/all time nice -n +19 hgLoadBed hg19 phastConsElements100way mostConserved.bed # second time 2014-02-09: # Read 10121223 elements of size 5 from mostConserved.bed # real 1m57.217s # Read 10107363 elements of size 5 from mostConserved.bed # real 1m56.508s # Try for 5% overall cov, and 70% CDS cov time featureBits hg19 -enrichment refGene:cds phastConsElements100way # --rho 0.3 --expected-length 45 --target-coverage 0.3 # second time 2014-02-09: # refGene:cds 1.211%, phastConsElements100way 5.603%, both 0.849%, # cover 70.12%, enrich 12.51x # refGene:cds 1.208%, phastConsElements100way 5.601%, both 0.847%, # cover 70.11%, enrich 12.52x # real 1m18.381s time featureBits hg19 -enrichment ensGene:cds phastConsElements100way # ensGene:cds 1.271%, phastConsElements100way 5.601%, both 0.860%, # cover 67.67%, enrich 12.08x # real 1m15.636s time featureBits hg19 -enrichment ensGene:cds phastConsElements100way # ensGene:cds 1.268%, phastConsElements100way 5.601%, both 0.864%, # cover 68.15%, enrich 12.17x # real 1m8.520s # Create merged posterier probability file and wiggle track data files cd /hive/data/genomes/hg19/bed/multiz100way/cons/all mkdir downloads time for D in `ls -d pp/chr* | sed -e 's#pp/##'` do echo "working: $D" find ./pp/${D} -type f | sed -e "s#^./##; s#\.# d #g; s#-# m #;" \ | sort -k1,1 -k3,3n | sed -e "s# d #.#g; s# m #-#g;" | xargs cat \ | gzip -c > downloads/${D}.phastCons100way.wigFix.gz done # real 29m38.561s # encode those files into wiggle data time (zcat downloads/*.wigFix.gz \ | wigEncode stdin phastCons100way.wig phastCons100way.wib) # Converted stdin, upper limit 1.00, lower limit 0.00 # real 13m12.190s du -hsc *.wi? # second time around 2014-02-09: # 2.7G phastCons100way.wib # 273M phastCons100way.wig # 3.0G total # first time: # 2.7G ../../cons.0/all/phastCons100way.wib # 412M ../../cons.0/all/phastCons100way.wig # 3.1G total # encode into a bigWig file: # (warning wigToBigWig process may be too large for memory limits # in bash, to avoid the 32 Gb memory limit, set 180 Gb here: sizeG=188743680 export sizeG ulimit -d $sizeG ulimit -v $sizeG time (zcat downloads/*.wigFix.gz \ | wigToBigWig stdin ../../../../chrom.sizes phastCons100way.bw) # real 38m47.061s # -rw-rw-r-- 1 5777277074 Feb 9 23:49 phastCons100way.bw # -rw-rw-r-- 1 5897970469 Sep 15 21:40 phastCons100way.bw bigWigInfo phastCons100way.bw # second time around 2014-02-09 version: 4 isCompressed: yes isSwapped: 0 primaryDataSize: 3,942,673,355 primaryIndexSize: 90,344,600 zoomLevels: 10 chromCount: 92 basesCovered: 2,857,876,073 mean: 0.101765 min: 0.000000 max: 1.000000 std: 0.237072 version: 4 isCompressed: yes isSwapped: 0 primaryDataSize: 4,052,086,370 primaryIndexSize: 137,792,116 zoomLevels: 10 chromCount: 92 basesCovered: 2,832,683,483 mean: 0.102504 min: 0.000000 max: 1.000000 std: 0.237858 # if you wanted to use the bigWig file, loading bigWig table: # but we don't use the bigWig file mkdir /gbdb/hg19/bbi ln -s `pwd`/phastCons100way.bw /gbdb/hg19/bbi hgsql hg19 -e 'drop table if exists phastCons100way; \ create table phastCons100way (fileName varchar(255) not null); \ insert into phastCons100way values ("/gbdb/hg19/bbi/phastCons100way.bw");' # Load gbdb and database with wiggle. ssh hgwdev cd /hive/data/genomes/hg19/bed/multiz100way/cons/all ln -s `pwd`/phastCons100way.wib /gbdb/hg19/multiz100way/phastCons100way.wib time nice -n +19 hgLoadWiggle -pathPrefix=/gbdb/hg19/multiz100way hg19 \ phastCons100way phastCons100way.wig # real 0m49.130s time wigTableStats.sh hg19 phastCons100way # real 0m20.097s # second time around 2014-02-09 # db.table min max mean count sumData # hg19.phastCons100way 0 1 0.101765 2857876073 2.90832e+08 # 0.237072 viewLimits=0:1 # db.table min max mean count sumData # hg19.phastCons100way 0 1 0.102504 2832683483 2.9036e+08 # stdDev viewLimits # 0.237858 viewLimits=0:1 # Create histogram to get an overview of all the data ssh hgwdev cd /hive/data/genomes/hg19/bed/multiz100way/cons/all time nice -n +19 hgWiggle -doHistogram -db=hg19 \ -hBinSize=0.001 -hBinCount=1000 -hMinVal=0.0 -verbose=2 \ phastCons100way > histogram.data 2>&1 # real 2m38.825s # create plot of histogram: cat << '_EOF_' | gnuplot > histo.png set terminal png small x000000 xffffff xc000ff x66ff66 xffff00 x00ffff set size 1.4, 0.8 set key left box set grid noxtics set grid ytics set title " Human Hg19 Histogram phastCons100way track" set xlabel " phastCons100way score" set ylabel " Relative Frequency" set y2label " Cumulative Relative Frequency (CRF)" set y2range [0:1] set y2tics set yrange [0:0.02] plot "histogram.data" using 2:5 title " RelFreq" with impulses, \ "histogram.data" using 2:7 axes x1y2 title " CRF" with lines '_EOF_' # << happy emacs # complains about font, but makes the png image: # Could not find/open font when opening font "arial", using internal non-scalable font display histo.png & ######################################################################### # phyloP conservation for 100-way (DONE - 2012-06-15 - 2012-08-21 - Hiram) # # all vertebrates # # split SS files into 1M chunks, this business needs smaller files # to complete # many of these jobs run too much memory to finish on a kluster node # can run all of this on hgwdev mkdir /hive/data/genomes/hg19/bed/multiz100way/consPhyloP cd /hive/data/genomes/hg19/bed/multiz100way/consPhyloP mkdir ss run.split cd run.split cat << '_EOF_' > doSplit.csh #!/bin/csh -ef set c = $1 set MAF = /hive/data/genomes/hg19/bed/multiz100way/anno/result/$c.maf set WINDOWS = /hive/data/genomes/hg19/bed/multiz100way/consPhyloP/ss/$c set WC = `cat $MAF | wc -l` set NL = `grep "^#" $MAF | wc -l` if ( -s $2 ) then exit 0 endif if ( -s $2.running ) then exit 0 endif date >> $2.running rm -fr $WINDOWS mkdir -p $WINDOWS pushd $WINDOWS > /dev/null if ( $WC != $NL ) then /cluster/bin/phast.build/cornellCVS/phast.2010-12-30/bin/msa_split \ $MAF -i MAF -o SS -r $WINDOWS/$c -w 1000000,0 -I 1000 -B 5000 endif popd > /dev/null date >> $2 rm -f $2.running '_EOF_' # << happy emacs # do the easy ones first to see some immediate results ls -1S -r ../../anno/result | sed -e "s/.maf//;" > maf.list # this needs a {check out line+ $(root1.done)} test for verification: cat << '_EOF_' > template #LOOP ./doSplit.csh $(root1) $(root1).done #ENDLOOP '_EOF_' # << happy emacs gensub2 maf.list single template jobList # copy the jobList to runEm.sh, edit to make all the commands run in # the background, with wait statements every few commands to run # a small number of these at once, no more than four at once with # the large chroms, the small randoms can run a bunch at once, they # finish quickly. time ./runEm.sh # real 1140m47.332s = 19h 0m 47.332s # second time around, combination of a ku batch and 8 jobs on hgwdev, # last 8 jobs: time ./lastBits.sh > lastBits.log 2>&1 # real 391m46.037s # run phyloP with score=LRT ssh ku cd /cluster/data/hg19/bed/multiz100way/consPhyloP mkdir run.phyloP cd run.phyloP # Adjust model file base composition background and rate matrix to be # representative of the chromosomes in play cp -p ../../4d/all.mod ./all.mod grep BACKGROUND ../../4d/all.mod | awk '{printf "%0.3f\n", $3 + $4}' # 0.513 /cluster/bin/phast.build/cornellCVS/phast.2010-12-30/bin/modFreqs \ ../../4d/all.mod 0.513 > all.mod cat << '_EOF_' > doPhyloP.csh #!/bin/csh -fex set PHASTBIN = /cluster/bin/phast.build/cornellCVS/phast.2010-12-30/bin set f = $1 set ssFile = $1:t echo "ssFile: $ssFile" set out = $2 set cName = $f:h echo "cName: $cName" set n = $f:r:e set grp = $cwd:t set cons = /hive/data/genomes/hg19/bed/multiz100way/consPhyloP set tmp = $cons/tmp/$grp/$f rm -fr $tmp mkdir -p $tmp set ssSrc = "$cons/ss/$cName/$ssFile" set useGrp = "$grp.mod" ln -s $cons/run.phyloP/$grp.mod $tmp pushd $tmp > /dev/null echo source: $ssSrc.ss $PHASTBIN/phyloP --method LRT --mode CONACC --wig-scores --chrom $cName \ -i SS $useGrp $ssSrc.ss > $ssFile.wigFix popd > /dev/null mkdir -p $out:h sleep 4 mv $tmp/$ssFile.wigFix $out rm -fr $tmp '_EOF_' # << happy emacs chmod +x doPhyloP.csh # Create list of chunks find ../ss -type f | sed -e "s/.ss$//; s#../ss/##;" > ss.list # Create template file # file1 == $chr/$chunk/file name without .ss suffix cat << '_EOF_' > template #LOOP ../run.phyloP/doPhyloP.csh $(path1) {check out line+ wigFix/$(dir1)/$(file1).wigFix} #ENDLOOP '_EOF_' # << happy emacs ###################### Running all species ####################### # setup run for all species mkdir /hive/data/genomes/hg19/bed/multiz100way/consPhyloP/all cd /hive/data/genomes/hg19/bed/multiz100way/consPhyloP/all rm -fr wigFix mkdir wigFix gensub2 ../run.phyloP/ss.list single ../run.phyloP/template jobList para create jobList para try ... check ... push ... etc ... para -maxJob=100 push para time # Completed: 3010 of 3010 jobs # CPU time in finished jobs: 5672403s 94540.06m 1575.67h 65.65d 0.180 y # IO & Wait Time: 51879s 864.64m 14.41h 0.60d 0.002 y # Average job time: 1902s 31.70m 0.53h 0.02d # Longest finished job: 2889s 48.15m 0.80h 0.03d # Submission to last job: 58824s 980.40m 16.34h 0.68d ssh hgwdev cd /cluster/data/hg19/bed/multiz100way/consPhyloP/run.phyloP/all mkdir downloads for D in `ls -d wigFix/chr* | sed -e 's#wigFix/##'` do echo "working: $D" find ./wigFix/${D} -type f | sed -e "s#^./##; s#\.# d #g; s#-# m #;" \ | sort -k1,1 -k3,3n | sed -e "s# d #.#g; s# m #-#g;" | xargs cat \ | gzip -c > downloads/${D}.phyloP100way.wigFix.gz done # real 97m3.368s time (zcat downloads/*.wigFix.gz \ | wigEncode stdin phyloP100way.wig phyloP100way.wib > wigEncode.log 2>&1) & # Converted stdin, upper limit 9.87, lower limit -20.00 # real 17m1.747s # if wigToBigWig runs out of memory, increase the shell memory limits: # 200Gb == 200*(1024^2) = 209715200 export sizeG=209715200 ulimit -d $sizeG ulimit -v $sizeG time (zcat downloads/*.wigFix.gz \ | wigToBigWig stdin ../../../../chrom.sizes phyloP100way.bw) # real 61m35.698s bigWigInfo phyloP100way.bw # second time 2014-02-11: version: 4 isCompressed: yes isSwapped: 0 primaryDataSize: 7,386,377,587 primaryIndexSize: 90,385,252 zoomLevels: 10 chromCount: 92 basesCovered: 2,857,876,073 mean: 0.105362 min: -20.000000 max: 9.873000 std: 1.026658 version: 4 isCompressed: yes isSwapped: 0 primaryDataSize: 7,520,567,316 primaryIndexSize: 137,824,308 zoomLevels: 10 chromCount: 92 basesCovered: 2,832,683,483 mean: 0.108207 min: -20.000000 max: 9.869000 std: 1.026550 # if you wanted to use the bigWig file, loading bigWig table: ln -s `pwd`/phyloP100way.bw /gbdb/hg19/bbi hgsql hg19 -e 'drop table if exists phyloP100wayAll; \ create table phyloP100wayAll \ (fileName varchar(255) not null); \ insert into phyloP100wayAll values ("/gbdb/hg19/bbi/phyloP100way.bw");' # loading the wiggle table: ln -s `pwd`/phyloP100way.wib /gbdb/hg19/multiz100way time nice -n +19 hgLoadWiggle -pathPrefix=/gbdb/hg19/multiz100way hg19 \ phyloP100wayAll phyloP100way.wig # real 1m14.834s wigTableStats.sh hg19 phyloP100wayAll # second time 2014-02-11: # db.table min max mean count sumData # hg19.phyloP100wayAll -20 9.873 0.105362 2857876073 3.01112e+08 # stdDev viewLimits # 1.02666 viewLimits=-5.02793:5.23865 # that range is: 20 + 9.873 = 29.873 for -hBinSize=0.29873 below # to get 1,000 bins # first time: # db.table min max mean count sumData # hg19.phyloP100wayAll -20 9.869 0.108207 2832683483 3.06515e+08 # stdDev viewLimits # 1.02655 viewLimits=-5.02454:5.24096 # that range is: 20 + 9.869 = 29.869 for -hBinSize=0.29869 below # to get 1,000 bins # Create histogram to get an overview of all the data time nice -n +19 hgWiggle -doHistogram \ -hBinSize=0.29873 -hBinCount=1000 -hMinVal=-20 -verbose=2 \ -db=hg19 phyloP100wayAll > histogram.data 2>&1 # real 4m24.071s # create plot of histogram: # this gnuplot issues an error: # Could not find/open font when opening font "arial", using internal non-scalable font cat << '_EOF_' | gnuplot > histo.png set terminal png small x000000 xffffff xc000ff x66ff66 xffff00 x00ffff set size 1.4, 0.8 set key left box set grid noxtics set grid ytics set title " Human Hg19 Histogram phyloP100way track, all 100 vertebrates" set xlabel " phyloP100way score, all 100 vertebrates" set ylabel " Relative Frequency" set y2label " Cumulative Relative Frequency (CRF)" set y2range [0:1] set y2tics set yrange [0:0.2] set xrange [-2:2] plot "histogram.data" using 2:5 title " RelFreq" with impulses, \ "histogram.data" using 2:7 axes x1y2 title " CRF" with lines '_EOF_' # << happy emacs display histo.png & ######################################################################### # construct download files for 60-way (DONE - 2012-06-27 - 2012-08-21 - Hiram) mkdir /usr/local/apache/htdocs-hgdownload/goldenPath/hg19/multiz100way mkdir /usr/local/apache/htdocs-hgdownload/goldenPath/hg19/multiz100way/maf mkdir /usr/local/apache/htdocs-hgdownload/goldenPath/hg19/multiz100way/alignments mkdir /usr/local/apache/htdocs-hgdownload/goldenPath/hg19/phastCons100way mkdir /usr/local/apache/htdocs-hgdownload/goldenPath/hg19/phastCons100way/hg19.100way.phastCons mkdir /usr/local/apache/htdocs-hgdownload/goldenPath/hg19/phyloP100way mkdir /usr/local/apache/htdocs-hgdownload/goldenPath/hg19/phyloP100way/hg19.100way.phyloP100way mkdir /hive/data/genomes/hg19/bed/multiz100way/downloads cd /hive/data/genomes/hg19/bed/multiz100way/downloads mkdir multiz100way phastCons100way phyloP100way cd multiz100way mkdir maf alignments cd maf time rsync -a -P ../../../anno/result/ ./ # real 322m58.633s time gzip *.maf # real 515m4.515s time md5sum *.maf.gz > md5sum.txt # real 10m6.351s ln -s `pwd`/*.maf.gz `pwd`/md5sum.txt \ /usr/local/apache/htdocs-hgdownload/goldenPath/hg19/multiz100way/maf cd .. du -hsc maf ../../anno/result/ # 68G maf # 722G ../../anno/result/ # 789G total grep TREE ../../4d/all.mod | sed -e 's/TREE: //' \ | ~/kent/src/hg/utils/phyloTrees/asciiTree.pl /dev/stdin \ > hg19.100way.nh ~/kent/src/hg/utils/phyloTrees/commonNames.sh hg19.100way.nh \ | ~/kent/src/hg/utils/phyloTrees/asciiTree.pl /dev/stdin \ > hg19.100way.commonNames.nh ~/kent/src/hg/utils/phyloTrees/scientificNames.sh hg19.100way.nh \ | ~/kent/src/hg/utils/phyloTrees/asciiTree.pl /dev/stdin \ > hg19.100way.scientificNames.nh md5sum *.gz *.nh > md5sum.txt ln -s `pwd`/*.nh `pwd`/*.txt `pwd`/*.maf.gz \ /usr/local/apache/htdocs-hgdownload/goldenPath/hg19/multiz100way ##################################################################### cd /hive/data/genomes/hg19/bed/multiz100way/downloads/phastCons100way mkdir hg19.100way.phastCons cd hg19.100way.phastCons ln -s ../../../cons/all/downloads/chr*.gz . time md5sum *.gz > md5sum.txt # real 2m9.045s ln -s `pwd`/*.gz `pwd`/md5sum.txt \ /usr/local/apache/htdocs-hgdownload/goldenPath/hg19/phastCons100way/hg19.100way.phastCons # real 6m11.158s cd .. ln -s ../../cons/all/all.mod hg19.100way.phastCons.mod ln -s ../../cons/all/phastCons100way.bw hg19.100way.phastCons.bw time md5sum *.mod *.bw > md5sum.txt # real 3m4.462s # obtain the README.txt from mm10/phastCons60way and update for this # situation, from: # /hive/data/genomes/mm10/bed/multiz60way/downloads/phastCons60way/README.txt ln -s `pwd`/*.mod `pwd`/*.bw `pwd`/*.txt \ /usr/local/apache/htdocs-hgdownload/goldenPath/hg19/phastCons100way ##################################################################### cd /hive/data/genomes/hg19/bed/multiz100way/downloads/phyloP100way mkdir hg19.100way.phyloP100way cd hg19.100way.phyloP100way ln -s ../../../consPhyloP/all/downloads/chr*.gz . time md5sum *.gz > md5sum.txt & # real 3m37.813s ln -s `pwd`/*.gz `pwd`/md5sum.txt \ /usr/local/apache/htdocs-hgdownload/goldenPath/hg19/phyloP100way/hg19.100way.phyloP100way cd .. ln -s ../../consPhyloP/run.phyloP/all.mod hg19.100way.phyloP100way.mod ln -s ../../consPhyloP/all/phyloP100way.bw hg19.100way.phyloP100way.bw time md5sum *.mod *.bw > md5sum.txt & # real 4m44.724s # obtain the README.txt from mm10/phyloP60way and update for this # situation, from: # /hive/data/genomes/mm10/bed/multiz60way/downloads/phyloP60way/README.txt ln -s `pwd`/*.mod `pwd`/*.bw `pwd`/*.txt \ /usr/local/apache/htdocs-hgdownload/goldenPath/hg19/phyloP100way ########################################################################### ## create upstream refGene maf files cd /hive/data/genomes/hg19/bed/multiz100way/downloads/multiz100way # bash script time for S in 1000 2000 5000 do echo "making upstream${S}.maf" featureBits hg19 ensGene:upstream:${S} -fa=/dev/null -bed=stdout \ | perl -wpe 's/_up[^\t]+/\t0/' | sort -k1,1 -k2,2n \ | /cluster/bin/$MACHTYPE/mafFrags hg19 multiz100way \ stdin stdout \ -orgs=/hive/data/genomes/hg19/bed/multiz100way/species.list \ | gzip -c > upstream${S}.maf.gz echo "done upstream${S}.maf.gz" done # real 603m51.338s md5sum *.nh *.maf.gz > md5sum.txt # real 10m6.351s # obtain the README.txt from mm10/multiz60way and update for this # situation, from: # /hive/data/genomes/mm10/bed/multiz60way/downloads/multiz60way/README.txt ln -s `pwd`/*.nh `pwd`/*.maf.gz `pwd`/*.txt \ /usr/local/apache/htdocs-hgdownload/goldenPath/hg19/multiz100way ############################################################################# # hgPal downloads (DONE - 2013-09-20 - Hiram) # hgPal downloads (redo refGene - 2016-10-10 - braney ) # hgPal downloads (redo knownGene - 2016-10-04 - braney ) # FASTA from 100-way for ensGene ssh hgwdev screen -S hg19HgPal mkdir /hive/data/genomes/hg19/bed/multiz100way/pal cd /hive/data/genomes/hg19/bed/multiz100way/pal cat ../species.list | tr '[ ]' '[\n]' > order.list export mz=multiz100way export gp=knownGene export db=hg19 export I=0 mkdir exonAA exonNuc for C in `sort -nk2 ../../../chrom.sizes | cut -f1` do I=`echo $I | awk '{print $1+1}'` echo "mafGene -chrom=$C -exons -noTrans $db $mz $gp order.list stdout | gzip -c > exonNuc/$C.exonNuc.fa.gz &" echo "mafGene -chrom=$C -exons $db $mz $gp order.list stdout | gzip -c > exonAA/$C.exonAA.fa.gz &" if [ $I -gt 6 ]; then echo "date" echo "wait" I=0 fi done > $gp.jobs echo "date" >> $gp.jobs echo "wait" >> $gp.jobs time sh -x $gp.jobs > $gp.jobs.log 2>&1 & # real 237m38.310s export mz=multiz100way export gp=knownGene export db=hg19 time zcat exonAA/*.gz | gzip -c > $gp.$mz.exonAA.fa.gz # real 4m34.089s time zcat exonNuc/*.gz | gzip -c > $gp.$mz.exonNuc.fa.gz # real 18m41.606s du -hsc exonAA exonNuc *.fa.gz # 2.5G exonAA # 4.0G exonNuc # 2.5G knownGene.multiz100way.exonAA.fa.gz # 4.0G knownGene.multiz100way.exonNuc.fa.gz rm -rf exonAA exonNuc # we're only distributing exons at the moment export mz=multiz100way export gp=knownGene export db=hg19 export pd=/usr/local/apache/htdocs-hgdownload/goldenPath/$db/$mz/alignments mkdir -p $pd md5sum *.fa.gz > md5sum.txt ln -s `pwd`/$gp.$mz.exonAA.fa.gz $pd/$gp.exonAA.fa.gz ln -s `pwd`/$gp.$mz.exonNuc.fa.gz $pd/$gp.exonNuc.fa.gz ln -s `pwd`/md5sum.txt $pd/ # running up refGene # screen control for long running job business screen -S alignments100 cd /hive/data/genomes/hg19/bed/multiz100way/pal export mz=multiz100way export gp=refGene export db=hg19 export I=0 mkdir exonAA exonNuc refGene hgsql hg19 -Ne "select concat(g.name,'.',d.version),g.* from refGene g, gbCdnaInfo d where g.name = d.acc" | cut -f 1,4- | splitFileByColumn /dev/stdin refGene -col=2 : for C in `sort -nk2 ../../../chrom.sizes | cut -f1` do I=`echo $I | awk '{print $1+1}'` echo "mafGene -chrom=$C -exons -noTrans -useFile $db $mz refGene/$C order.list stdout | gzip -c > exonNuc/$C.exonNuc.fa.gz &" echo "mafGene -chrom=$C -exons -useFile $db $mz refGene/$C order.list stdout | gzip -c > exonAA/$C.exonAA.fa.gz &" if [ $I -gt 6 ]; then echo "date" echo "wait" I=0 fi done > $gp.jobs echo "date" >> $gp.jobs echo "wait" >> $gp.jobs time sh -x $gp.jobs > $gp.jobs.log 2>&1 # real 173m1.000s export mz=multiz100way export gp=refGene export db=hg19 time zcat exonAA/*.gz | gzip -c > $gp.$mz.exonAA.fa.gz # real 3m34.210s time zcat exonNuc/*.gz | gzip -c > $gp.$mz.exonNuc.fa.gz # real 14m4.669s du -hsc exonAA exonNuc refGene*.fa.gz # 2.0G exonAA # 3.2G exonNuc # 2.0G refGene.multiz100way.exonAA.fa.gz # 3.2G refGene.multiz100way.exonNuc.fa.gz # 11G total rm -rf exonAA exonNuc # we're only distributing exons at the moment export mz=multiz100way export gp=refGene export db=hg19 export pd=/usr/local/apache/htdocs-hgdownload/goldenPath/$db/$mz/alignments mkdir -p $pd md5sum *.fa.gz > md5sum.txt ln -s `pwd`/$gp.$mz.exonAA.fa.gz $pd/$gp.exonAA.fa.gz ln -s `pwd`/$gp.$mz.exonNuc.fa.gz $pd/$gp.exonNuc.fa.gz ln -s `pwd`/md5sum.txt $pd/ ### And knownCanonical cd /hive/data/genomes/hg19/bed/multiz100way/pal export mz=multiz100way export gp=knownCanonical export db=hg19 mkdir exonAA exonNuc ppredAA ppredNuc knownCanonical cut -f1 ../../../chrom.sizes | while read C do echo $C hgsql hg19 -N -e "select chrom, chromStart, chromEnd, transcript from knownCanonical where chrom='$C'" > knownCanonical/$C.known.bed done ls knownCanonical/*.known.bed | while read F do if [ -s $F ]; then echo $F | sed -e 's#knownCanonical/##; s/.known.bed//' fi done | while read C do echo "date" echo "mafGene -geneBeds=knownCanonical/$C.known.bed $db $mz knownGene order.list stdout | \ gzip -c > ppredAA/$C.ppredAA.fa.gz" echo "mafGene -geneBeds=knownCanonical/$C.known.bed -noTrans $db $mz knownGene order.list stdout | \ gzip -c > ppredNuc/$C.ppredNuc.fa.gz" echo "mafGene -geneBeds=knownCanonical/$C.known.bed -exons -noTrans $db $mz knownGene order.list stdout | \ gzip -c > exonNuc/$C.exonNuc.fa.gz" echo "mafGene -geneBeds=knownCanonical/$C.known.bed -exons $db $mz knownGene order.list stdout | \ gzip -c > exonAA/$C.exonAA.fa.gz" done > $gp.$mz.jobs time sh -x $gp.$mz.jobs > $gp.$mz.job.log 2>&1 # real 1033m6.639s rm *.known.bed mz=multiz100way gp=knownCanonical db=hg19 zcat exonAA/c*.gz | gzip -c > $gp.$mz.exonAA.fa.gz & zcat exonNuc/c*.gz | gzip -c > $gp.$mz.exonNuc.fa.gz & zcat ppredAA/c*.gz | gzip -c > $gp.$mz.ppredAA.fa.gz & zcat ppredNuc/c*.gz | gzip -c > $gp.$mz.ppredNuc.fa.gz rm -rf exonAA exonNuc ppredAA ppredNuc mz=multiz100way gp=knownCanonical db=hg19 pd=/usr/local/apache/htdocs-hgdownload/goldenPath/$db/$mz/alignments mkdir -p $pd ln -s `pwd`/$gp.$mz.exonAA.fa.gz $pd/$gp.exonAA.fa.gz ln -s `pwd`/$gp.$mz.exonNuc.fa.gz $pd/$gp.exonNuc.fa.gz cd $pd md5sum *.fa.gz > md5sum.txt ######################################################################### # sperm whale/phyCat1 Lastz run (DONE - 2013-10-05 braney) screen -S phyCat1 # use screen to manage this long running job mkdir /hive/data/genomes/hg19/bed/lastzPhyCat1.2013-10-05 cd /hive/data/genomes/hg19/bed/lastzPhyCat1.2013-10-05 cat << '_EOF_' > DEF # human vs sperm whale # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: sperm whale PhyCat1 SEQ2_DIR=/hive/data/genomes/phyCat1/phyCat1.2bit SEQ2_LEN=/hive/data/genomes/phyCat1/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=50 BASE=/hive/data/genomes/hg19/bed/lastzPhyCat1.2013-10-05 TMPDIR=/dev/shm '_EOF_' # << emacs time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -syntenicNet > do.log 2>&1 # real 779m50.178s # forgot to load up phyCat1 database for net repeat classification # finish load step manually, then: cat fb.hg19.chainPhyCat1Link.txt # 1521042352 bases of 2897316137 (52.498%) in intersection time nice -n +19 doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -continue=download -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -syntenicNet > download.log 2>&1 # real 32m10.340s # create symLink to indicate this is the version to use cd /hive/data/genomes/hg19/bed ln -s lastzPhyCat1.2013-10-05 lastz.phyCat1 cd /hive/data/genomes/hg19/bed/lastzPhyCat1.2013-10-05 # filter with doRecipBest.pl time doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 phyCat1 > rbest.log 2>&1 & # real 59m7.123s # running the swap mkdir /hive/data/genomes/phyCat1/bed/blastz.hg19.swap cd /hive/data/genomes/phyCat1/bed/blastz.hg19.swap time nice -n +19 doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzPhyCat1.2013-10-05/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -syntenicNet > swap.log 2>&1 # real 102m56.234s cat fb.phyCat1.chainHg19Link.txt # 1455933862 bases of 2233689186 (65.181%) in intersection cd /hive/data/genomes/phyCat1/bed ln -s blastz.hg19.swap lastz.hg19 ######################################################################### # ClinVar Variants track (2013-10-09 - Max) wget ftp://ftp.ncbi.nlm.nih.gov/pub/clinvar/tab_delimited/variant_summary.txt.gz -O - | gunzip > variant_summary.txt echo WARNING: For hg19 we remove all chrM entries. # keep only Ch37 variants and shorten the name less variant_summary.txt | tawk '($13=="GRCh37" || $13=="GRCh37.p9") {print "chr"$14,$15,$16,$3,$9,$2,$4,$5,$6,$7,$8,$10,$11,$12,$13,$17,$18,$19,$20,$21,$23,$24}' | sed -e 's/, /,/g' | sed -e 's/;/,/g' | tawk '{$3=$3+1; split($4, a, " "); $4=a[1]; if ($4=="") {$4=$11}; print}' | grep -v ClinicalSignificance | sort -k1,1 -k2,2n | grep -v chrM | sed -e 's/,/, /g' > clinvarFull.bed # separate into two subtracks cat clinvarFull.bed | egrep 'copy number (loss|gain)' > clinvarCnv.bed cat clinvarFull.bed | grep -v nsv > clinvarMain.bed # convert to bb cat << '_EOF_' > clinvar.as table clinVarBed "Browser extensible data (4 fields) plus information about a ClinVar entry" ( string chrom; "Chromosome (or contig, scaffold, etc.)" uint chromStart; "Start position in chromosome" uint chromEnd; "End position in chromosome" string name; "Name of item" string rcvAcc; "ClinVar ID" string type; "Type of Variant" string geneId; "NCBI Entrez Gene ID" string geneSym; "NCBI Entrez Gene Symbol" string clinSign; "Clinical significance:" string snpId; "dbSNP ID" string nsvId; "dbVar ID" string testedInGtr; "Genetic Testing Registry" lstring phenotype; "Phenotype identifiers" string origin; "Data origin" string assembly; "Genome assembly" string cytogenetic; "Cytogenetic status" string reviewStatus; "Review status" string hgvsCod; "coding HGVS" string hgvsProt; "protein HGVS" string lastEval; "last evaluation" string guidelines; "guidelines" lstring otherIds; "other identifiers (OMIM)" ) '_EOF_' bedToBigBed clinvarMain.bed /scratch/data/hg19/chrom.sizes clinvarMain.bb -type=bed4+18 -tab -as=clinvar.as bedToBigBed clinvarCnv.bed /scratch/data/hg19/chrom.sizes clinvarCnv.bb -type=bed4+18 -tab -as=clinvar.as cp clinvarMain.bb /hive/data/genomes/hg19/bed/clinvar/ cp clinvarCnv.bb /hive/data/genomes/hg19/bed/clinvar/ _EOF_ ######################################################################### # LOCUS REFERENCE GENOMIC (LRG) REGIONS AND TRANSCRIPTS (DONE 10/25/19 angie) # Redmine #13359, #24285 -- otto-mate To Do #17877 # previously done 7/7/14, 9/9/16, 5/30/18 screen -S lrg -t lrg set today = `date +%Y_%m_%d` mkdir -p /hive/data/genomes/hg19/bed/lrg/$today cd /hive/data/genomes/hg19/bed/lrg/$today wget ftp://ftp.ebi.ac.uk/pub/databases/lrgex/LRG_public_xml_files.zip unzip LRG_public_xml_files.zip # The .atree file was useful for getting a handle on the hierarchy and types of nodes: # autoDtd LRG_1.xml lrg.dtd lrg.stats -atree=lrg.atree # Run script to convert LRG*.xml files to BED+ for regions and genePredExt+fa for transcripts: ~/kent/src/hg/utils/automation/parseLrgXml.pl GRCh37 genePredCheck lrgTranscriptsUnmapped.gp #Error: lrgTranscriptsUnmapped.gp:765: LRG_7t1 no exonFrame on CDS exon 46 #checked: 1029 failed: 1 # If there are complaints e.g. about exonFrame, look for inconsistencies in the # affected transcript's coding_region/coordinates vs. exon/intron info in xml. # Contact Variation team leader Fiona Cunningham @EBI to resolve in the background # (missing exonFrame info doesn't affect our track representation because we end up using # psl). We agreed to disagree about exon 46 of LRG_7t1 because that last coding exon # portion is only the stop codon. # hg19 has patches on hgwdev but not on the RR, and the patches may remain on hgwdev. # To avoid confusion, exclude patch sequences for now; if we release patches, rebuild # LRG tracks without this part. mv lrg.bed lrg.allSeqs.bed cut -f 1 ../../../chrom.sizes.initial | grep -Fwf - lrg.allSeqs.bed > lrg.bed wc -l lrg*bed # 930 lrg.allSeqs.bed # 888 lrg.bed # Load LRG regions: bedToBigBed lrg.bed /hive/data/genomes/hg19/chrom.sizes lrg.bb \ -tab -type=bed12+ -as=$HOME/kent/src/hg/lib/lrg.as -extraIndex=name ln -sf `pwd`/lrg.bb /gbdb/hg19/bbi/lrg.bb hgBbiDbLink hg19 lrg /gbdb/hg19/bbi/lrg.bb # Map LRG fixed_annotation transcripts from LRG coords to hg19 coords (HT MarkD): lrgToPsl lrg.bed /hive/data/genomes/hg19/chrom.sizes lrg.psl pslCheck lrg.psl #checked: 888 failed: 0 errors: 0 awk '{print $10 "\t" $11;}' lrg.psl > lrg.sizes genePredToFakePsl -chromSize=lrg.sizes placeholder \ lrgTranscriptsUnmapped.gp lrgTranscriptsFakePsl.psl lrgTranscripts.cds pslMap lrgTranscriptsFakePsl.psl lrg.psl lrgTranscriptsHg19.psl mrnaToGene -genePredExt -cdsFile=lrgTranscripts.cds -keepInvalid \ lrgTranscriptsHg19.psl lrgTranscriptsHg19NoName2.gp #Warning: no CDS for LRG_163t1 #Warning: no CDS for LRG_347t1 # It's OK if mrnaToGene complains about "no CDS" for a non-coding tx (RefSeq accession NR_*). grep -l NR_ LRG_163.xml LRG_347.xml #LRG_163.xml #LRG_347.xml # Load PSL, CDS and sequences. hgLoadPsl hg19 -table=lrgTranscriptAli lrgTranscriptsHg19.psl hgLoadSqlTab hg19 lrgCds ~/kent/src/hg/lib/cdsSpec.sql lrgTranscripts.cds hgPepPred hg19 tab lrgCdna lrgCdna.tab hgPepPred hg19 tab lrgPep lrgPep.tab # OPTIONAL (only done for initial track development) # For a rough comparison of mapping methods, and to get some extra error-checking on the PSL # from the chain code, try this too: pslToChain lrg.psl lrg.chain chainSwap lrg.chain lrgMap.chain liftOver -genePred lrgTranscriptsUnmapped.gp lrgMap.chain lrgTLiftOver.gp noMap # The noMap file has a few "Boundary problem" errors because liftOver doesn't have # sophisticated handling of exonFrames and indels. Also, liftOver carries over exonFrames # as-is without regard to strand, so they end up being reversed for LRG's on the - strand. # That's why we're using MarkD's method above! # The resulting genePredExt from that process is missing the name2 column from # the original; add it back: cut -f 1,12 lrgTranscriptsUnmapped.gp > txName2 join -j 1 -a 1 -t' ' \ -o 1.1,1.2,1.3,1.4,1.5,1.6,1.7,1.8,1.9,1.10,1.11,2.2,1.13,1.14,1.15 \ lrgTranscriptsHg19NoName2.gp txName2 > lrgTranscriptsHg19.gp # Ignore exonFrames and compare: awk '$1 != "#" {print $1;}' noMap cut -f 1-14 lrgTranscriptsHg19.gp | sed -re 's/unk/none/g;' > t1 cut -f 1-14 lrgTLiftOver.gp > t2 diff t1 t2 | awk '{print $1, $2;}' | uniq # Hopefully there won't be differences aside from the ones liftOver couldn't map. rm t1 t2 ######################################################################### # phastBias gBGC track (2013-10-29 - Galt) # RM #11697 data received from Katie Pollard and Adam Siepel # GC-Biased Gene Conversion in the Human and Chimpanzee Genomes # Data consists of tracts of gBGC regions identified in a BED and bigWig on # hg19. This data was recreated on hg19, it is not lifted from hg18. # Paper: http://www.plosgenetics.org/article/info%3Adoi%2F10.1371%2Fjournal.pgen.1003684 # Data: http://compgen.bscb.cornell.edu/~mt269/gBGC_tracks/ # cd /hive/data/genomes/hg19/bed mkdir phastBias cd phastBias wget -O phastBiasTracts3.bed 'http://compgen.bscb.cornell.edu/~mt269/gBGC_tracks/phastBias_hg19_tracts.bed' # the bigWig file is 17GB and using wget would take 2.5 hours. # since the file is coming from New York, we can use paraFetch to reduce the # download time significantly: paraFetch -progress 10 3 'http://compgen.bscb.cornell.edu/~mt269/gBGC_tracks/phastBias_hg19_posterior.bw' phastBiasPosteriors3.bw # it took 1.4 hours and ran at 3MB/sec. It still saved over an hour, but I was # hoping for even better results. Maybe 10 is too many connections for their # server. hgLoadBed hg19 phastBiasTracts3 phastBiasTracts3.bed ln -s /hive/data/genomes/hg19/bed/phastBias/phastBiasPosteriors3.bw /gbdb/hg19/bbi/ hgBbiDbLink hg19 phastBiasPosteriors3 /gbdb/hg19/bbi/phastBiasPosteriors3.bw # see hg18.txt makedoc for details on how the .ra and .html files were # downloaded and installed at the human level. ############################################################################# # EVS Exome Variants from ESP 6500 Exome (Redmine 9329) 2013-11-08 # Max previously downloaded all files from http://evs.gs.washington.edu/EVS/ {download tab} # to /hive/data/outside/evs cd /hive/data/outside/evs ll -rw-rw-r-- 1 max protein 132832601 Oct 7 11:12 ESP6500SI-V2-SSA137.dbSNP138-rsIDs.snps_indels.txt.tar.gz -rw-rw-r-- 1 max protein 124718926 Oct 7 11:12 ESP6500SI-V2-SSA137.dbSNP138-rsIDs.snps_indels.vcf.tar.gz -rw-rw-r-- 1 max protein 416261389 Oct 7 11:12 ESP6500SI-V2.coverage.all_sites.txt.tar.gz -rw-rw-r-- 1 max protein 13192522 Oct 7 11:12 ESP6500SI-V2.coverage.seq_blocks.txt.tar.gz -rw-rw-r-- 1 max protein 6065184 Oct 7 11:12 agilent_nimblegen_exome_targets_esp_project.tar.gz tar -xzf tar -xzf ESP6500SI-V2-SSA137.dbSNP138-rsIDs.snps_indels.vcf.tar.gz ll total 3205904 -rw-rw-r-- 1 max protein 132832601 Oct 7 11:12 ESP6500SI-V2-SSA137.dbSNP138-rsIDs.snps_indels.txt.tar.gz -rw-rw-r-- 1 max protein 124718926 Oct 7 11:12 ESP6500SI-V2-SSA137.dbSNP138-rsIDs.snps_indels.vcf.tar.gz -rw-r--r-- 1 tdreszer genecats 93987403 Aug 26 14:29 ESP6500SI-V2-SSA137.updatedRsIds.chr1.snps_indels.vcf -rw-r--r-- 1 tdreszer genecats 38335017 Aug 26 14:32 ESP6500SI-V2-SSA137.updatedRsIds.chr10.snps_indels.vcf -rw-r--r-- 1 tdreszer genecats 56868902 Aug 26 14:32 ESP6500SI-V2-SSA137.updatedRsIds.chr11.snps_indels.vcf -rw-r--r-- 1 tdreszer genecats 49327149 Aug 26 14:32 ESP6500SI-V2-SSA137.updatedRsIds.chr12.snps_indels.vcf -rw-r--r-- 1 tdreszer genecats 15843136 Aug 26 14:33 ESP6500SI-V2-SSA137.updatedRsIds.chr13.snps_indels.vcf -rw-r--r-- 1 tdreszer genecats 30776581 Aug 26 14:33 ESP6500SI-V2-SSA137.updatedRsIds.chr14.snps_indels.vcf -rw-r--r-- 1 tdreszer genecats 31170853 Aug 26 14:33 ESP6500SI-V2-SSA137.updatedRsIds.chr15.snps_indels.vcf -rw-r--r-- 1 tdreszer genecats 44270933 Aug 26 14:33 ESP6500SI-V2-SSA137.updatedRsIds.chr16.snps_indels.vcf -rw-r--r-- 1 tdreszer genecats 57017413 Aug 26 14:33 ESP6500SI-V2-SSA137.updatedRsIds.chr17.snps_indels.vcf -rw-r--r-- 1 tdreszer genecats 14075907 Aug 26 14:33 ESP6500SI-V2-SSA137.updatedRsIds.chr18.snps_indels.vcf -rw-r--r-- 1 tdreszer genecats 65266127 Aug 26 14:33 ESP6500SI-V2-SSA137.updatedRsIds.chr19.snps_indels.vcf -rw-r--r-- 1 tdreszer genecats 68850292 Aug 26 14:29 ESP6500SI-V2-SSA137.updatedRsIds.chr2.snps_indels.vcf -rw-r--r-- 1 tdreszer genecats 25274367 Aug 26 14:33 ESP6500SI-V2-SSA137.updatedRsIds.chr20.snps_indels.vcf -rw-r--r-- 1 tdreszer genecats 12146901 Aug 26 14:33 ESP6500SI-V2-SSA137.updatedRsIds.chr21.snps_indels.vcf -rw-r--r-- 1 tdreszer genecats 22731631 Aug 26 14:14 ESP6500SI-V2-SSA137.updatedRsIds.chr22.snps_indels.vcf -rw-r--r-- 1 tdreszer genecats 54016924 Aug 26 14:29 ESP6500SI-V2-SSA137.updatedRsIds.chr3.snps_indels.vcf -rw-r--r-- 1 tdreszer genecats 35294834 Aug 26 14:29 ESP6500SI-V2-SSA137.updatedRsIds.chr4.snps_indels.vcf -rw-r--r-- 1 tdreszer genecats 43985991 Aug 26 14:30 ESP6500SI-V2-SSA137.updatedRsIds.chr5.snps_indels.vcf -rw-r--r-- 1 tdreszer genecats 45749508 Aug 26 14:30 ESP6500SI-V2-SSA137.updatedRsIds.chr6.snps_indels.vcf -rw-r--r-- 1 tdreszer genecats 44366987 Aug 26 14:31 ESP6500SI-V2-SSA137.updatedRsIds.chr7.snps_indels.vcf -rw-r--r-- 1 tdreszer genecats 33404379 Aug 26 14:32 ESP6500SI-V2-SSA137.updatedRsIds.chr8.snps_indels.vcf -rw-r--r-- 1 tdreszer genecats 40067697 Aug 26 14:32 ESP6500SI-V2-SSA137.updatedRsIds.chr9.snps_indels.vcf -rw-r--r-- 1 tdreszer genecats 25130750 Aug 26 14:34 ESP6500SI-V2-SSA137.updatedRsIds.chrX.snps_indels.vcf -rw-r--r-- 1 tdreszer genecats 269593 Aug 26 14:34 ESP6500SI-V2-SSA137.updatedRsIds.chrY.snps_indels.vcf -rw-rw-r-- 1 max protein 416261389 Oct 7 11:12 ESP6500SI-V2.coverage.all_sites.txt.tar.gz -rw-rw-r-- 1 max protein 13192522 Oct 7 11:12 ESP6500SI-V2.coverage.seq_blocks.txt.tar.gz -rw-rw-r-- 1 max protein 6065184 Oct 7 11:12 agilent_nimblegen_exome_targets_esp_project.tar.gz # get tabix (samtools) cd /cluster/bin mkdir samtools cd samtools # download from http://sourceforge.net/projects/samtools/files/tabix/ -rw-rw-r-- 1 tdreszer genecats 514507 Nov 8 11:14 samtools-0.1.19.tar.bz2.tar.bz2.tar.bz2 tar -xjf samtools-0.1.19.tar.bz2.tar.bz2.tar.bz2 mv samtools-0.1.19 .. mv samtools-0.1.19.tar.bz2.tar.bz2.tar.bz2 ../samtools-0.1.19/ cd ../samtools-0.1.19/ rm -rf ../samtools/ make cd .. mkdir tabix cd tabix # download from http://sourceforge.net/projects/samtools/files/tabix/ -rw-rw-r-- 1 tdreszer genecats 54403 Nov 8 11:25 tabix-0.2.6.tar.bz2.tar.bz2.tar.bz2 tar -xjf tabix-0.2.6.tar.bz2.tar.bz2.tar.bz2 mv tabix-0.2.6 .. mv tabix-0.2.6.tar.bz2.tar.bz2.tar.bz2 ../tabix-0.2.6/ cd ../tabix-0.2.6/ rm -rf ../tabix/ make # bgzip then tabixify files cd /hive/data/outside/evs for chr in 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 X Y; do /cluster/bin/tabix-0.2.6/bgzip ESP6500SI-V2-SSA137.updatedRsIds.chr${chr}.snps_indels.vcf done for chr in 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 X Y; do /cluster/bin/tabix-0.2.6/tabix ESP6500SI-V2-SSA137.updatedRsIds.chr${chr}.snps_indels.vcf.gz done ll total 1617920 -rw-rw-r-- 1 max protein 132832601 Oct 7 11:12 ESP6500SI-V2-SSA137.dbSNP138-rsIDs.snps_indels.txt.tar.gz -rw-rw-r-- 1 max protein 124718926 Oct 7 11:12 ESP6500SI-V2-SSA137.dbSNP138-rsIDs.snps_indels.vcf.tar.gz -rw-rw-r-- 1 tdreszer genecats 13257881 Nov 8 11:34 ESP6500SI-V2-SSA137.updatedRsIds.chr1.snps_indels.vcf.gz -rw-rw-r-- 1 tdreszer genecats 57058 Nov 8 11:36 ESP6500SI-V2-SSA137.updatedRsIds.chr1.snps_indels.vcf.gz.tbi -rw-rw-r-- 1 tdreszer genecats 5324208 Nov 8 11:35 ESP6500SI-V2-SSA137.updatedRsIds.chr10.snps_indels.vcf.gz -rw-rw-r-- 1 tdreszer genecats 26309 Nov 8 11:37 ESP6500SI-V2-SSA137.updatedRsIds.chr10.snps_indels.vcf.gz.tbi -rw-rw-r-- 1 tdreszer genecats 8057109 Nov 8 11:35 ESP6500SI-V2-SSA137.updatedRsIds.chr11.snps_indels.vcf.gz -rw-rw-r-- 1 tdreszer genecats 30394 Nov 8 11:37 ESP6500SI-V2-SSA137.updatedRsIds.chr11.snps_indels.vcf.gz.tbi -rw-rw-r-- 1 tdreszer genecats 6951392 Nov 8 11:35 ESP6500SI-V2-SSA137.updatedRsIds.chr12.snps_indels.vcf.gz -rw-rw-r-- 1 tdreszer genecats 31477 Nov 8 11:37 ESP6500SI-V2-SSA137.updatedRsIds.chr12.snps_indels.vcf.gz.tbi -rw-rw-r-- 1 tdreszer genecats 2282788 Nov 8 11:35 ESP6500SI-V2-SSA137.updatedRsIds.chr13.snps_indels.vcf.gz -rw-rw-r-- 1 tdreszer genecats 13677 Nov 8 11:37 ESP6500SI-V2-SSA137.updatedRsIds.chr13.snps_indels.vcf.gz.tbi -rw-rw-r-- 1 tdreszer genecats 4413259 Nov 8 11:35 ESP6500SI-V2-SSA137.updatedRsIds.chr14.snps_indels.vcf.gz -rw-rw-r-- 1 tdreszer genecats 19363 Nov 8 11:37 ESP6500SI-V2-SSA137.updatedRsIds.chr14.snps_indels.vcf.gz.tbi -rw-rw-r-- 1 tdreszer genecats 4451460 Nov 8 11:35 ESP6500SI-V2-SSA137.updatedRsIds.chr15.snps_indels.vcf.gz -rw-rw-r-- 1 tdreszer genecats 20180 Nov 8 11:37 ESP6500SI-V2-SSA137.updatedRsIds.chr15.snps_indels.vcf.gz.tbi -rw-rw-r-- 1 tdreszer genecats 6266776 Nov 8 11:35 ESP6500SI-V2-SSA137.updatedRsIds.chr16.snps_indels.vcf.gz -rw-rw-r-- 1 tdreszer genecats 19272 Nov 8 11:37 ESP6500SI-V2-SSA137.updatedRsIds.chr16.snps_indels.vcf.gz.tbi -rw-rw-r-- 1 tdreszer genecats 8005893 Nov 8 11:35 ESP6500SI-V2-SSA137.updatedRsIds.chr17.snps_indels.vcf.gz -rw-rw-r-- 1 tdreszer genecats 26404 Nov 8 11:37 ESP6500SI-V2-SSA137.updatedRsIds.chr17.snps_indels.vcf.gz.tbi -rw-rw-r-- 1 tdreszer genecats 2011581 Nov 8 11:35 ESP6500SI-V2-SSA137.updatedRsIds.chr18.snps_indels.vcf.gz -rw-rw-r-- 1 tdreszer genecats 11785 Nov 8 11:37 ESP6500SI-V2-SSA137.updatedRsIds.chr18.snps_indels.vcf.gz.tbi -rw-rw-r-- 1 tdreszer genecats 9460006 Nov 8 11:35 ESP6500SI-V2-SSA137.updatedRsIds.chr19.snps_indels.vcf.gz -rw-rw-r-- 1 tdreszer genecats 22808 Nov 8 11:37 ESP6500SI-V2-SSA137.updatedRsIds.chr19.snps_indels.vcf.gz.tbi -rw-rw-r-- 1 tdreszer genecats 9746625 Nov 8 11:35 ESP6500SI-V2-SSA137.updatedRsIds.chr2.snps_indels.vcf.gz -rw-rw-r-- 1 tdreszer genecats 49239 Nov 8 11:37 ESP6500SI-V2-SSA137.updatedRsIds.chr2.snps_indels.vcf.gz.tbi -rw-rw-r-- 1 tdreszer genecats 3560189 Nov 8 11:35 ESP6500SI-V2-SSA137.updatedRsIds.chr20.snps_indels.vcf.gz -rw-rw-r-- 1 tdreszer genecats 14079 Nov 8 11:37 ESP6500SI-V2-SSA137.updatedRsIds.chr20.snps_indels.vcf.gz.tbi -rw-rw-r-- 1 tdreszer genecats 1710920 Nov 8 11:35 ESP6500SI-V2-SSA137.updatedRsIds.chr21.snps_indels.vcf.gz -rw-rw-r-- 1 tdreszer genecats 5965 Nov 8 11:37 ESP6500SI-V2-SSA137.updatedRsIds.chr21.snps_indels.vcf.gz.tbi -rw-rw-r-- 1 tdreszer genecats 3211868 Nov 8 11:35 ESP6500SI-V2-SSA137.updatedRsIds.chr22.snps_indels.vcf.gz -rw-rw-r-- 1 tdreszer genecats 10849 Nov 8 11:37 ESP6500SI-V2-SSA137.updatedRsIds.chr22.snps_indels.vcf.gz.tbi -rw-rw-r-- 1 tdreszer genecats 7609656 Nov 8 11:35 ESP6500SI-V2-SSA137.updatedRsIds.chr3.snps_indels.vcf.gz -rw-rw-r-- 1 tdreszer genecats 38679 Nov 8 11:37 ESP6500SI-V2-SSA137.updatedRsIds.chr3.snps_indels.vcf.gz.tbi -rw-rw-r-- 1 tdreszer genecats 5116880 Nov 8 11:35 ESP6500SI-V2-SSA137.updatedRsIds.chr4.snps_indels.vcf.gz -rw-rw-r-- 1 tdreszer genecats 28097 Nov 8 11:37 ESP6500SI-V2-SSA137.updatedRsIds.chr4.snps_indels.vcf.gz.tbi -rw-rw-r-- 1 tdreszer genecats 6118636 Nov 8 11:35 ESP6500SI-V2-SSA137.updatedRsIds.chr5.snps_indels.vcf.gz -rw-rw-r-- 1 tdreszer genecats 29706 Nov 8 11:37 ESP6500SI-V2-SSA137.updatedRsIds.chr5.snps_indels.vcf.gz.tbi -rw-rw-r-- 1 tdreszer genecats 6561993 Nov 8 11:35 ESP6500SI-V2-SSA137.updatedRsIds.chr6.snps_indels.vcf.gz -rw-rw-r-- 1 tdreszer genecats 32437 Nov 8 11:37 ESP6500SI-V2-SSA137.updatedRsIds.chr6.snps_indels.vcf.gz.tbi -rw-rw-r-- 1 tdreszer genecats 6395663 Nov 8 11:35 ESP6500SI-V2-SSA137.updatedRsIds.chr7.snps_indels.vcf.gz -rw-rw-r-- 1 tdreszer genecats 32184 Nov 8 11:37 ESP6500SI-V2-SSA137.updatedRsIds.chr7.snps_indels.vcf.gz.tbi -rw-rw-r-- 1 tdreszer genecats 4816680 Nov 8 11:35 ESP6500SI-V2-SSA137.updatedRsIds.chr8.snps_indels.vcf.gz -rw-rw-r-- 1 tdreszer genecats 24710 Nov 8 11:37 ESP6500SI-V2-SSA137.updatedRsIds.chr8.snps_indels.vcf.gz.tbi -rw-rw-r-- 1 tdreszer genecats 5656614 Nov 8 11:35 ESP6500SI-V2-SSA137.updatedRsIds.chr9.snps_indels.vcf.gz -rw-rw-r-- 1 tdreszer genecats 25772 Nov 8 11:37 ESP6500SI-V2-SSA137.updatedRsIds.chr9.snps_indels.vcf.gz.tbi -rw-rw-r-- 1 tdreszer genecats 3528099 Nov 8 11:35 ESP6500SI-V2-SSA137.updatedRsIds.chrX.snps_indels.vcf.gz -rw-rw-r-- 1 tdreszer genecats 23453 Nov 8 11:37 ESP6500SI-V2-SSA137.updatedRsIds.chrX.snps_indels.vcf.gz.tbi -rw-rw-r-- 1 tdreszer genecats 32962 Nov 8 11:35 ESP6500SI-V2-SSA137.updatedRsIds.chrY.snps_indels.vcf.gz -rw-rw-r-- 1 tdreszer genecats 811 Nov 8 11:37 ESP6500SI-V2-SSA137.updatedRsIds.chrY.snps_indels.vcf.gz.tbi -rw-rw-r-- 1 max protein 416261389 Oct 7 11:12 ESP6500SI-V2.coverage.all_sites.txt.tar.gz -rw-rw-r-- 1 max protein 13192522 Oct 7 11:12 ESP6500SI-V2.coverage.seq_blocks.txt.tar.gz -rw-rw-r-- 1 max protein 6065184 Oct 7 11:12 agilent_nimblegen_exome_targets_esp_project.tar.gz # make symlinks in gbdb: mkdir /gbdb/hg19/evs ln -s `pwd`/*.vcf.gz* /gbdb/hg19/evs/ cp /dev/null evsEsp6500.txt for chr in 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 X Y; do echo "/gbdb/hg19/evs/ESP6500SI-V2-SSA137.updatedRsIds.chr${chr}.snps_indels.vcf.gz\tchr${chr}" >> evsEsp6500.txt done # manually swapped in tabs for \t's, then load hgLoadSqlTab hg19 evsEsp6500 ~/kent/src/hg/lib/bbiChroms.sql evsEsp6500.txt # Add evsEsp6500 track to hg19/trackDb.ra ######################################################################### # EVS Exome Variants from ESP 6500 Exome UPDATE (Redmine 9329) 2014-03-28 cd /hive/data/outside/evs/ mkdir update cd /hive/data/outside/evs/update wget 'http://evs.gs.washington.edu/evs_bulk_data/ESP6500SI-V2-SSA137.protein-hgvs-update.snps_indels.vcf.tar.gz' tar -xzf ESP6500SI-V2-SSA137.protein-hgvs-update.snps_indels.vcf.tar.gz ll -rw-r--r-- 1 tdreszer genecats 124720615 Mar 28 13:19 ESP6500SI-V2-SSA137.protein-hgvs-update.snps_indels.vcf.tar.gz -rw-r--r-- 1 tdreszer genecats 93987280 Feb 6 14:12 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr1.snps_indels.vcf -rw-r--r-- 1 tdreszer genecats 38334975 Feb 6 14:12 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr10.snps_indels.vcf -rw-r--r-- 1 tdreszer genecats 56868856 Feb 6 14:12 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr11.snps_indels.vcf -rw-r--r-- 1 tdreszer genecats 49327119 Feb 6 14:12 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr12.snps_indels.vcf -rw-r--r-- 1 tdreszer genecats 15843124 Feb 6 14:13 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr13.snps_indels.vcf -rw-r--r-- 1 tdreszer genecats 30776532 Feb 6 14:13 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr14.snps_indels.vcf -rw-r--r-- 1 tdreszer genecats 31170814 Feb 6 14:13 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr15.snps_indels.vcf -rw-r--r-- 1 tdreszer genecats 44270899 Feb 6 14:13 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr16.snps_indels.vcf -rw-r--r-- 1 tdreszer genecats 57017358 Feb 6 14:13 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr17.snps_indels.vcf -rw-r--r-- 1 tdreszer genecats 14075899 Feb 6 14:13 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr18.snps_indels.vcf -rw-r--r-- 1 tdreszer genecats 65266023 Feb 6 14:13 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr19.snps_indels.vcf -rw-r--r-- 1 tdreszer genecats 68850168 Feb 6 14:12 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr2.snps_indels.vcf -rw-r--r-- 1 tdreszer genecats 25274351 Feb 6 14:13 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr20.snps_indels.vcf -rw-r--r-- 1 tdreszer genecats 12146878 Feb 6 14:13 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr21.snps_indels.vcf -rw-r--r-- 1 tdreszer genecats 22731583 Feb 6 14:01 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr22.snps_indels.vcf -rw-r--r-- 1 tdreszer genecats 54016869 Feb 6 14:12 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr3.snps_indels.vcf -rw-r--r-- 1 tdreszer genecats 35294803 Feb 6 14:12 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr4.snps_indels.vcf -rw-r--r-- 1 tdreszer genecats 43985947 Feb 6 14:12 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr5.snps_indels.vcf -rw-r--r-- 1 tdreszer genecats 45749446 Feb 6 14:12 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr6.snps_indels.vcf -rw-r--r-- 1 tdreszer genecats 44366928 Feb 6 14:12 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr7.snps_indels.vcf -rw-r--r-- 1 tdreszer genecats 33404366 Feb 6 14:12 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr8.snps_indels.vcf -rw-r--r-- 1 tdreszer genecats 40067651 Feb 6 14:12 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr9.snps_indels.vcf -rw-r--r-- 1 tdreszer genecats 25130716 Feb 6 14:13 ESP6500SI-V2-SSA137.updatedProteinHgvs.chrX.snps_indels.vcf -rw-r--r-- 1 tdreszer genecats 269593 Feb 6 14:13 ESP6500SI-V2-SSA137.updatedProteinHgvs.chrY.snps_indels.vcf # compress and make indexes for chr in 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 X Y; do /cluster/bin/tabix-0.2.6/bgzip ESP6500SI-V2-SSA137.updatedProteinHgvs.chr${chr}.snps_indels.vcf done for chr in 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 X Y; do /cluster/bin/tabix-0.2.6/tabix ESP6500SI-V2-SSA137.updatedProteinHgvs.chr${chr}.snps_indels.vcf.gz done ll total 507888 -rw-r--r-- 1 tdreszer genecats 124720615 Mar 28 13:19 ESP6500SI-V2-SSA137.protein-hgvs-update.snps_indels.vcf.tar.gz -rw-rw-r-- 1 tdreszer genecats 13258210 Mar 28 13:30 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr1.snps_indels.vcf.gz -rw-rw-r-- 1 tdreszer genecats 57068 Mar 28 13:31 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr1.snps_indels.vcf.gz.tbi -rw-rw-r-- 1 tdreszer genecats 5324193 Mar 28 13:30 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr10.snps_indels.vcf.gz -rw-rw-r-- 1 tdreszer genecats 26305 Mar 28 13:31 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr10.snps_indels.vcf.gz.tbi -rw-rw-r-- 1 tdreszer genecats 8057163 Mar 28 13:30 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr11.snps_indels.vcf.gz -rw-rw-r-- 1 tdreszer genecats 30370 Mar 28 13:31 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr11.snps_indels.vcf.gz.tbi -rw-rw-r-- 1 tdreszer genecats 6951317 Mar 28 13:30 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr12.snps_indels.vcf.gz -rw-rw-r-- 1 tdreszer genecats 31468 Mar 28 13:31 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr12.snps_indels.vcf.gz.tbi -rw-rw-r-- 1 tdreszer genecats 2282785 Mar 28 13:30 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr13.snps_indels.vcf.gz -rw-rw-r-- 1 tdreszer genecats 13687 Mar 28 13:31 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr13.snps_indels.vcf.gz.tbi -rw-rw-r-- 1 tdreszer genecats 4413068 Mar 28 13:30 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr14.snps_indels.vcf.gz -rw-rw-r-- 1 tdreszer genecats 19361 Mar 28 13:31 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr14.snps_indels.vcf.gz.tbi -rw-rw-r-- 1 tdreszer genecats 4451406 Mar 28 13:30 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr15.snps_indels.vcf.gz -rw-rw-r-- 1 tdreszer genecats 20177 Mar 28 13:31 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr15.snps_indels.vcf.gz.tbi -rw-rw-r-- 1 tdreszer genecats 6266701 Mar 28 13:30 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr16.snps_indels.vcf.gz -rw-rw-r-- 1 tdreszer genecats 19274 Mar 28 13:31 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr16.snps_indels.vcf.gz.tbi -rw-rw-r-- 1 tdreszer genecats 8005745 Mar 28 13:30 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr17.snps_indels.vcf.gz -rw-rw-r-- 1 tdreszer genecats 26399 Mar 28 13:31 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr17.snps_indels.vcf.gz.tbi -rw-rw-r-- 1 tdreszer genecats 2011561 Mar 28 13:30 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr18.snps_indels.vcf.gz -rw-rw-r-- 1 tdreszer genecats 11774 Mar 28 13:31 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr18.snps_indels.vcf.gz.tbi -rw-rw-r-- 1 tdreszer genecats 9459910 Mar 28 13:30 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr19.snps_indels.vcf.gz -rw-rw-r-- 1 tdreszer genecats 22802 Mar 28 13:31 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr19.snps_indels.vcf.gz.tbi -rw-rw-r-- 1 tdreszer genecats 9746724 Mar 28 13:30 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr2.snps_indels.vcf.gz -rw-rw-r-- 1 tdreszer genecats 49265 Mar 28 13:31 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr2.snps_indels.vcf.gz.tbi -rw-rw-r-- 1 tdreszer genecats 3560127 Mar 28 13:30 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr20.snps_indels.vcf.gz -rw-rw-r-- 1 tdreszer genecats 14067 Mar 28 13:31 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr20.snps_indels.vcf.gz.tbi -rw-rw-r-- 1 tdreszer genecats 1710937 Mar 28 13:30 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr21.snps_indels.vcf.gz -rw-rw-r-- 1 tdreszer genecats 5960 Mar 28 13:31 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr21.snps_indels.vcf.gz.tbi -rw-rw-r-- 1 tdreszer genecats 3211748 Mar 28 13:30 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr22.snps_indels.vcf.gz -rw-rw-r-- 1 tdreszer genecats 10850 Mar 28 13:31 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr22.snps_indels.vcf.gz.tbi -rw-rw-r-- 1 tdreszer genecats 7609634 Mar 28 13:30 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr3.snps_indels.vcf.gz -rw-rw-r-- 1 tdreszer genecats 38695 Mar 28 13:31 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr3.snps_indels.vcf.gz.tbi -rw-rw-r-- 1 tdreszer genecats 5116781 Mar 28 13:30 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr4.snps_indels.vcf.gz -rw-rw-r-- 1 tdreszer genecats 28085 Mar 28 13:31 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr4.snps_indels.vcf.gz.tbi -rw-rw-r-- 1 tdreszer genecats 6118583 Mar 28 13:30 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr5.snps_indels.vcf.gz -rw-rw-r-- 1 tdreszer genecats 29707 Mar 28 13:31 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr5.snps_indels.vcf.gz.tbi -rw-rw-r-- 1 tdreszer genecats 6561883 Mar 28 13:30 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr6.snps_indels.vcf.gz -rw-rw-r-- 1 tdreszer genecats 32430 Mar 28 13:31 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr6.snps_indels.vcf.gz.tbi -rw-rw-r-- 1 tdreszer genecats 6395768 Mar 28 13:30 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr7.snps_indels.vcf.gz -rw-rw-r-- 1 tdreszer genecats 32174 Mar 28 13:31 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr7.snps_indels.vcf.gz.tbi -rw-rw-r-- 1 tdreszer genecats 4816721 Mar 28 13:30 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr8.snps_indels.vcf.gz -rw-rw-r-- 1 tdreszer genecats 24693 Mar 28 13:31 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr8.snps_indels.vcf.gz.tbi -rw-rw-r-- 1 tdreszer genecats 5656727 Mar 28 13:30 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr9.snps_indels.vcf.gz -rw-rw-r-- 1 tdreszer genecats 25797 Mar 28 13:31 ESP6500SI-V2-SSA137.updatedProteinHgvs.chr9.snps_indels.vcf.gz.tbi -rw-rw-r-- 1 tdreszer genecats 3528086 Mar 28 13:30 ESP6500SI-V2-SSA137.updatedProteinHgvs.chrX.snps_indels.vcf.gz -rw-rw-r-- 1 tdreszer genecats 23418 Mar 28 13:31 ESP6500SI-V2-SSA137.updatedProteinHgvs.chrX.snps_indels.vcf.gz.tbi -rw-rw-r-- 1 tdreszer genecats 32962 Mar 28 13:30 ESP6500SI-V2-SSA137.updatedProteinHgvs.chrY.snps_indels.vcf.gz -rw-rw-r-- 1 tdreszer genecats 811 Mar 28 13:31 ESP6500SI-V2-SSA137.updatedProteinHgvs.chrY.snps_indels.vcf.gz.tbi cd .. mkdir older mv *.vcf.gz older mv *.vcf.gz,tbi older mv *.tar.gz older mv *.txt older mv update/* . rmdir update # make new symlinks in gbdb: rm /gbdb/hg19/evs/*.vcf.gz* ln -s `pwd`/*.vcf.gz* /gbdb/hg19/evs/ # Update hg19.evsEsp6500 table cp /dev/null evsEsp6500.txt for chr in 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 X Y; do echo "/gbdb/hg19/evs/ESP6500SI-V2-SSA137.updatedProteinHgvs.chr${chr}.snps_indels.vcf.gz\tchr${chr}" >> evsEsp6500.txt done # manually swapped in tabs for \t's, then load hgLoadSqlTab hg19 evsEsp6500 ~/kent/src/hg/lib/bbiChroms.sql evsEsp6500.txt ######################################################################## # UCSF BRAIN METHYLATION (DONE 2013-11-26 Pauline) mkdir /hive/data/genomes/hg19/bed/ucsfBrainMethyl cd /hive/data/genomes/hg19/bed/ucsfBrainMethyl wget --timestamping 'ftp://wangftp.wustl.edu/ucsfBrainMethyl/bigWig/ucsfChipSeqH3K4me3BrainCoverage.bigWig' wget --timestamping 'ftp://wangftp.wustl.edu/ucsfBrainMethyl/bigWig/ucsfMedipSeqBrainCoverage.bigWig' wget --timestamping 'ftp://wangftp.wustl.edu/ucsfBrainMethyl/bigWig/ucsfMedipSeqBrainCpG.bigWig' wget --timestamping 'ftp://wangftp.wustl.edu/ucsfBrainMethyl/bigWig/ucsfMreSeqBrainCpG.bigWig' wget --timestamping 'ftp://wangftp.wustl.edu/ucsfBrainMethyl/bigWig/ucsfRnaSeqBrainAllCoverage.bigWig' wget --timestamping 'ftp://wangftp.wustl.edu/ucsfBrainMethyl/bigWig/ucsfRnaSeqBrainSmartCoverage.bigWig' mkdir /gbdb/hg19/bbi/ucsfBrainMethyl/ ln -s `pwd`/ucsfChipSeqH3K4me3BrainCoverage.bigWig /gbdb/hg19/bbi/ucsfBrainMethyl/ucsfChipSeqH3K4me3BrainCoverage.bigWig ln -s `pwd`/ucsfMedipSeqBrainCoverage.bigWig /gbdb/hg19/bbi/ucsfBrainMethyl/ucsfMedipSeqBrainCoverage.bigWig ln -s `pwd`/ucsfMedipSeqBrainCpG.bigWig /gbdb/hg19/bbi/ucsfBrainMethyl/ucsfMedipSeqBrainCpG.bigWig ln -s `pwd`/ucsfMreSeqBrainCpG.bigWig /gbdb/hg19/bbi/ucsfBrainMethyl/ucsfMreSeqBrainCpG.bigWig ln -s `pwd`/ucsfRnaSeqBrainAllCoverage.bigWig /gbdb/hg19/bbi/ucsfBrainMethyl/ucsfRnaSeqBrainAllCoverage.bigWig ln -s `pwd`/ucsfRnaSeqBrainSmartCoverage.bigWig /gbdb/hg19/bbi/ucsfBrainMethyl/ucsfRnaSeqBrainSmartCoverage.bigWig hgBbiDbLink hg19 ucsfChipSeqH3K4me3BrainCoverage /gbdb/hg19/bbi/ucsfBrainMethyl/ucsfChipSeqH3K4me3BrainCoverage.bigWig hgBbiDbLink hg19 ucsfMedipSeqBrainCoverage /gbdb/hg19/bbi/ucsfBrainMethyl/ucsfMedipSeqBrainCoverage.bigWig hgBbiDbLink hg19 ucsfMedipSeqBrainCpG /gbdb/hg19/bbi/ucsfBrainMethyl/ucsfMedipSeqBrainCpG.bigWig hgBbiDbLink hg19 ucsfMreSeqBrainCpG /gbdb/hg19/bbi/ucsfBrainMethyl/ucsfMreSeqBrainCpG.bigWig hgBbiDbLink hg19 ucsfRnaSeqBrainAllCoverage /gbdb/hg19/bbi/ucsfBrainMethyl/ucsfRnaSeqBrainAllCoverage.bigWig hgBbiDbLink hg19 ucsfRnaSeqBrainSmartCoverage /gbdb/hg19/bbi/ucsfBrainMethyl/ucsfRnaSeqBrainSmartCoverage.bigWig #used existing trackDb entry for lifted track, and was able to override track #type bedgraph -> bigWig. ######################################################################## # Bing BLAT track (DONE 2013-12-06 Max) # requires the pubs tools in ~max/projects/pubs and also on github as "pubMunch" lftp ftp://ftp.research.microsoft.com/pub/BobD/ -e 'mget *' # indexing pubConvBing -i /hive/data/outside/pubs/bing/ # conversion on ku pubConvBing /hive/data/outside/pubs/bing/ /hive/data/inside/pubs/text/bing/ # mapping,chaining,table-creation to hg19 on ku pubMap bing annots-tables --onlyDb=hg19 # load into mysql pubMap bing load ######################################################################## # CNV Developmental Delay track (DONE 2014-11-21 Steve) mkdir /hive/data/genomes/hg19/bed/cnvDevDelay cd /hive/data/genomes/hg19/bed/cnvDevDelay # NOTE FOR NEXT TIME: dbVar reorganized their ftp directories. Should there be a next time, # the files are now at # ftp://ftp.ncbi.nlm.nih.gov/pub/dbVar/data/Homo_sapiens/by_study/gvf/nstd100.GRCh37.variant_call.gvf.gz # ftp://ftp.ncbi.nlm.nih.gov/pub/dbVar/data/Homo_sapiens/by_study/gvf/nstd100.GRCh37.variant_region.gvf.gz # ftp://ftp.ncbi.nlm.nih.gov/pub/dbVar/data/Homo_sapiens/by_study/gvf/nstd54.GRCh37.variant_call.gvf.gz # ftp://ftp.ncbi.nlm.nih.gov/pub/dbVar/data/Homo_sapiens/by_study/gvf/nstd54.GRCh37.variant_region.gvf.gz wget --timestamping 'ftp://ftp.ncbi.nlm.nih.gov/pub/dbVar/data/Homo_sapiens/by_study/nstd100_Coe_et_al_2014/gvf/nstd100_Coe_et_al_2014.GRCh37.remap.all.germline.ucsc.gvf.gz' wget --timestamping 'ftp://ftp.ncbi.nlm.nih.gov/pub/dbVar/data/Homo_sapiens/by_study/nstd54_Cooper_et_al_2011/gvf/nstd54_Cooper_et_al_2011.GRCh37.remap.all.germline.ucsc.gvf.gz' cp /kent/src/hg/utils/automation/gvfToBed8Attrs.pl . mv gvfToBed8Attrs.pl gvfToBed8AttrsCase.pl cp gvfToBed8AttrsCase.pl gvfToBed8AttrsControl100.pl cp gvfToBed8AttrsCase.pl gvfToBed8AttrsControl54.pl # made three local copies of Angie's gvf conversion script - one to include # only case individuals from nstd100, one to include only control individuals # from nstd100 and one to include only control individuals from nstd54 # had to add an additional elsif statement to the nstd100 scripts to filter # based on sample_name field: # } elsif ($tag eq "sample_name") { # $sample_name = $val; # } # added line 33/35 to each file: # next if ($sample_name eq "Unknown"); # keep only "case" individuals from nstd100 # next if ($sample_name ne "Unknown"); # keep only "control" individuals from nstd100 # next if ($phenotype ne "not_reported"); # keep only "control" individuals from nstd54 zcat nstd100_Coe_et_al_2014.GRCh37.remap.all.germline.ucsc.gvf.gz | gvfToBed8AttrsCase.pl > cnvDevDelayAllCase.bed zcat nstd100_Coe_et_al_2014.GRCh37.remap.all.germline.ucsc.gvf.gz | gvfToBed8AttrsControl100.pl > cnvDevDelayAllControl.bed zcat nstd54_Cooper_et_al_2011.GRCh37.remap.all.germline.ucsc.gvf.gz | gvfToBed8AttrsControl54.pl >> cnvDevDelayAllControl.bed hgLoadBed -tab -renameSqlTable -sqlTable=$HOME/kent/src/hg/lib/bed8Attrs.sql \ -allowStartEqualEnd hg19 cnvDevDelayCase cnvDevDelayAllCase.bed hgLoadBed -tab -renameSqlTable -sqlTable=$HOME/kent/src/hg/lib/bed8Attrs.sql \ -allowStartEqualEnd hg19 cnvDevDelayControl cnvDevDelayAllControl.bed checkTableCoords hg19 cnvDevDelayCase checkTableCoords hg19 cnvDevDelayControl ############################################################################# # LIFTOVER TO Hg38 (DONE - 2013-12-31 - Hiram ) mkdir /hive/data/genomes/hg19/bed/blat.hg38noMask.2013-12-31 cd /hive/data/genomes/hg19/bed/blat.hg38noMask.2013-12-31 # experiments were done with this process to determine if the # target/query sequences need to be masked or not. They do not # need to be masked, the same result is obtained on masked or # unmasked sequence. # -debug run to create run dir and scripts, the partition script # was modified to use the unmasked hg19/hg38 sequences doSameSpeciesLiftOver.pl -debug -stop=net -buildDir=`pwd` \ -bigClusterHub=ku \ -dbHost=hgwdev -workhorse=hgwdev \ -ooc=/hive/data/genomes/hg19/11.ooc hg19 hg38 # Turns out the chain step procedure will not construct the proper # set of files in debug mode (pslParts.lst) because it can not. # the chain step has to be run for real: doSameSpeciesLiftOver.pl -continue=chain -buildDir=`pwd` \ -bigClusterHub=ku \ -dbHost=hgwdev -workhorse=hgwdev \ -ooc=/hive/data/genomes/hg19/11.ooc hg19 hg38 > chain.log 2>&1 # verify the convert link on the browser is now active from hg19 to hg38 ############################################################################## # hg19 <-> hg38 difference tracks (DONE - 2013-12-28 - Hiram) # note: the procedure for this is in the hg38.txt file under # this same heading. The end result is the loading of the table: cd /hive/data/genomes/hg19/bed/liftOverHg38 hgLoadBed hg19 hg38ContigDiff hg19.itemRgb.bed ########################################################################## # NEANDERTAL AND DENISOVA METHYLATION (DONE 8/27/14 angie) # RM #13439 mkdir /hive/data/genomes/hg19/bed/neandertalMethylation cd /hive/data/genomes/hg19/bed/neandertalMethylation wget http://carmelab.huji.ac.il/data/Reconstructed_Methylation_Neandertal.zip unzip Reconstructed_Methylation_Neandertal.zip # The file has scores in e-notation ("4.108367e+001"); use perl to add "chr" # and convert scores to regular floating point notation. # Also, the submitters requested a green-to-red score display (0 = green, 100 = red) # like the ENCODE HAIB Methyl-RRBS track, so make it a bed 9 with the ENCODE coloring. # For the bed5 score, scale up 0-100 to 0-1000. perl -we '\ @colorScale = (0x00FF00, 0x37FF00, 0x69FF00, 0x9BFF00, 0xCDFF00, 0xFFFF00, \ 0xFFCD00, 0xFF9B00, 0xFF6900, 0xFF3700, 0xFF0000); \ while (<>) { \ chomp; ($c, $s, $e, $score) = split; \ $chr = "chr".$c; \ $score = $score + 0.0; \ $bedScore = int($score * 10); \ $colorIdx = int(@colorScale * $score / 100); \ $colorIdx-- if ($colorIdx >= @colorScale); \ $color = $colorScale[$colorIdx]; \ print join("\t", $chr, $s, $e, $score, $bedScore, "+", $s, $e, $color) . "\n"; \ }' \ Recon_Meth_Altai_Neandertal.txt \ > neandertalMethylation.bed hgLoadBed hg19 neandertalMethylation neandertalMethylation.bed # clean up rm Recon_Meth_Altai_Neandertal.txt bed.tab gzip neandertalMethylation.bed & mkdir /hive/data/genomes/hg19/bed/denisovaMethylation cd /hive/data/genomes/hg19/bed/denisovaMethylation wget http://carmelab.huji.ac.il/data/Reconstructed_Methylation_Denisovan.zip unzip Reconstructed_Methylation_Denisovan.zip # Apply the same transform as above: perl -we '\ @colorScale = (0x00FF00, 0x37FF00, 0x69FF00, 0x9BFF00, 0xCDFF00, 0xFFFF00, \ 0xFFCD00, 0xFF9B00, 0xFF6900, 0xFF3700, 0xFF0000); \ while (<>) { \ chomp; ($c, $s, $e, $score) = split; \ $chr = "chr".$c; \ $score = $score + 0.0; \ $bedScore = int($score * 10); \ $colorIdx = int(@colorScale * $score / 100); \ $colorIdx-- if ($colorIdx >= @colorScale); \ $color = $colorScale[$colorIdx]; \ print join("\t", $chr, $s, $e, $score, $bedScore, "+", $s, $e, $color) . "\n"; \ }' \ Recon_Meth_Denisovan.txt > denisovaMethylation.bed hgLoadBed hg19 denisovaMethylation denisovaMethylation.bed # clean up rm Recon_Meth_Altai_Denisova.txt bed.tab gzip denisovaMethylation.bed & ############################################################################## # DBSNP B141 / SNP141 (DONE 9/10/14) # Redmine #13309 mkdir -p /hive/data/outside/dbSNP/141/human_hg19 cd /hive/data/outside/dbSNP/141/human_hg19 # Look at the directory listing of ftp://ftp.ncbi.nih.gov/snp/database/organism_data/ # to find the subdir name to use as orgDir below (human_9606 in this case). # Then click into that directory and look for file names like # b(1[0-9][0-9])_*_([0-9]+_[0-9]) # -- use the first num for build and the second num_num for buildAssembly. # jkStuff/liftContigs.lft maps NCBI contig names to chroms; use that for liftUp. # # Some trial and error was required to get the config.ra just right -- # the b* filenames don't include buildAssembly! # patch contigs needed to be filtered out: cat > config.ra <<EOF db hg19 orgDir human_9606 build 141 buildAssembly GRCh37p13 liftUp /hive/data/genomes/hg19/jkStuff/liftContigs.lft refAssemblyLabel GRCh37.p13 EOF ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra >& do.log & tail -f do.log # It fails with a list of unliftable contigs -- look at dbSnpContigsNotInUcsc.txt # to make sure they're all patch contigs as expected, then start over, ignoring those: cut -f 2 cantLiftUpSeqNames.txt > patchContigs.txt cat >> config.ra <<EOF ignoreDbSnpContigsFile patchContigs.txt EOF # Continue at loadDbSnp. There are always errors in snpNcbiToUcsc (translate step) # as it encounters new weird inputs; fix as necessary. This time I also expanded # checking for overlapping items from insertions only to all types of variants. ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra -continue=loadDbSnp \ >& do.log & tail -f do.log # After final snpNcbiToUcsc tweaking: ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra -continue translate \ >>& do.log & tail -f do.log # Fasta is missing for 3259 rs's -- and unfortunately, they all seem to # be clinically associated so people will be interested in them. # dbSNP has not re-dumped rs_fasta as requested, so use batch_query to get # the fasta, and... back to the beginning with new fasta's. zcat snp141Errors.bed.gz \ | grep 'Missing observed' \ | cut -f 4 \ | sort -u \ > idsNoFasta.txt # Upload that file here and select FASTA as output format: # http://www.ncbi.nlm.nih.gov/projects/SNP/dbSNP.cgi?list=rsfile # Wait for email with link to results. # 13 IDs are rejected as not in dbSNP (this used to explain most missing fasta): #397518414 #397518415 #397518416 #398124647 #398124648 #398124649 #398124650 #431905487 #431905488 #431905489 #431905490 #431905491 #431905492 # Download the batch query results: wget ftp://ftp.ncbi.nlm.nih.gov/snp/batch/140818195028.gz # Yep, looks like rs_fasta. Move it into the rs_fasta directory with a name that # will be picked up by "zcat rs_fasta/rs_ch*.fas.gz": mv 140818195028.gz rs_fasta/rs_chBatchQuery.fas.gz # Now continue from the addToDbSnp step. # NOTE: I actually combined this addToDbSnp run with the strand-fixing run below. ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra -continue addToDbSnp \ >>& do.log & tail -f do.log # b141 was released with some ens issues, including incorrect strand for some items. # Correct locally: wget ftp://ftp.ncbi.nih.gov/snp/organisms/human_9606/misc/ens_issues/b141/rs_with_changed_orientation.bcp tail -n +2 rs_with_changed_orientation.bcp \ | perl -wne 'my ($snpId, $old, undef, $new) = split("\t"); \ if ($old != $new) { \ print "update b141_SNPContigLoc_GRCh37p13 set orientation = $new where snp_id = $snpId;\n"; \ }' > fixRsOrientation.sql #...except the files were wrong, see https://ncbijira.ncbi.nlm.nih.gov/browse/VR-28 # 8/5/14: dbSNP re-released a subset of the FTP files... patch those in and rebuild. # I made a new subdir firstBuild and moved a bunch of files there so I can compare. cd /hive/data/outside/dbSNP/141/human_hg19 mv data data.orig mkdir data cd data ln -s ../data.orig/* . rm b141_SNPContigLoc_GRCh37p13.bcp.gz b141_SNPContigLocusId_GRCh37p13.bcp.gz \ b141_SNPMapInfo_GRCh37p13.bcp.gz foreach f (b141_SNPContigLoc_GRCh37p13.bcp.gz b141_SNPContigLocusId_GRCh37p13.bcp.gz \ b141_SNPMapInfo_GRCh37p13.bcp.gz) wget ftp://ftp.ncbi.nlm.nih.gov/snp/organisms/human_9606_b141_GRCh37p13/database/organism_data/update_2014_Jul25/$f end hgsql hg19snp141 -e 'drop table b141_SNPContigLoc_GRCh37p13; \ drop table b141_SNPContigLocusId_GRCh37p13; \ drop table b141_SNPMapInfo_GRCh37p13;' # Recreate those tables using schema/table.sql. # Run the parts of loadDbSnp.csh for those specific tables: # ---------- begin loadDbSnp.csh excerpt ---------- foreach t (b141_SNPContigLocusId_GRCh37p13 b141_SNPMapInfo_GRCh37p13) zcat /hive/data/outside/dbSNP/141/human_hg19/data/$t.bcp.gz | grep -vwFf '/hive/data/outside/dbSNP/141/human_hg19/patchContigs.txt'\ | perl -wpe 's/(\d\d:\d\d:\d\d)\.\d+/$1/g; s/\t(\t|\n)/\t\\N$1/g; s/\t(\t|\n)/\t\\N$1/g;' \ > tmp.tab hgLoadSqlTab -oldTable hg19snp141 $t placeholder tmp.tab rm tmp.tab end hgsql hg19snp141 -e \ 'alter table b141_SNPContigLocusId_GRCh37p13 add index (ctg_id); \ alter table b141_SNPMapInfo_GRCh37p13 add index (snp_id);' # b141_SNPContigLoc_GRCh37p13 is huge, and we want only the reference contig mappings. # Keep lines only if they have a word match to some reference contig ID. # That allows some false positives from coord matches; clean those up afterward. zcat /hive/data/outside/dbSNP/141/human_hg19/data/b141_ContigInfo_GRCh37p13.bcp.gz \ | cut -f 1 | sort -n > b141_ContigInfo_GRCh37p13.ctg_id.txt zcat /hive/data/outside/dbSNP/141/human_hg19/data/b141_SNPContigLoc_GRCh37p13.bcp.gz \ | grep -Fwf b141_ContigInfo_GRCh37p13.ctg_id.txt \ | perl -wpe 's/(\d\d:\d\d:\d\d)\.\d+/$1/g; s/\t(\t|\n)/\t\\N$1/g; s/\t(\t|\n)/\t\\N$1/g;' \ | hgLoadSqlTab -oldTable hg19snp141 b141_SNPContigLoc_GRCh37p13 placeholder stdin # Get rid of those false positives: hgsql hg19snp141 -e 'alter table b141_SNPContigLoc_GRCh37p13 add index (ctg_id);' hgsql hg19snp141 -e 'create table ContigLocFix select cl.* from b141_SNPContigLoc_GRCh37p13 as cl, b141_ContigInfo_GRCh37p13 as ci where cl.ctg_id = ci.ctg_id;' hgsql hg19snp141 -e 'alter table ContigLocFix add index (ctg_id);' hgsql hg19snp141 -e 'drop table b141_SNPContigLoc_GRCh37p13; \ rename table ContigLocFix to b141_SNPContigLoc_GRCh37p13;' hgsql hg19snp141 -e 'alter table b141_SNPContigLoc_GRCh37p13 add index (snp_id);' # ---------- end loadDbSnp.csh excerpt ---------- ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra -continue=addToDbSnp \ >>& do.log & tail -f do.log # That completed OK. Now, try to identify the remaining >300k strand-swap errors # that should be fixed in hg19.snp141. cd /hive/data/outside/dbSNP/141/human_hg19 # First, make some files for dbSNP, directly from their download files. # To prepare for join, '.'-concat location, rs# ID, ori and allele fields of b138 SNPContigLoc: zcat data/b138_SNPContigLoc.bcp.gz \ | awk -F"\t" '{print $3"."$4"."$5".rs"$2"\t"$15"\t"$16;}' | sort \ > hg19_b138_locOriAl.txt # Likewise for b141 on GRCh37: zcat data/b141_SNPContigLoc_GRCh37p13.bcp.gz \ | awk -F"\t" '{print $3"."$4"."$5".rs"$2"\t"$15"\t"$16;}' \ | sort \ > hg19_b141_locOriAl.txt # Join to find items with identical coords and rs#ID. Columns output: # 1: coords.rsID (same in both input files, column IDs 1.1 and 2.1) # 2: b138 ori (1.2) # 3: b138 allele (1.3) # 4: b141 ori (2.2) # 5: b141 allele (2.3) join -o1.1,1.2,1.3,2.2,2.3 hg19_b138_locOriAl.txt hg19_b141_locOriAl.txt \ > hg19_b138_b141_locOriAl.txt # Now find changes of orientation: awk '$2 != $4 {print;}' hg19_b138_b141_locOriAl.txt \ > hg19_b138_b141_locOriAl_strandChange.txt gzip hg19_b138_b141_locOriAl_strandChange.txt # There are also 379 items whose allele changed as well, all length-2 items # switching between insertion and 2-base change (dbSNP uses 2-base regions for # both types): zcat hg19_b138_b141_locOriAl_strandChange.txt.gz \ | awk '$3 != $5' \ > hg19_b138_b141_locOriAl_strandChange_alChange.txt # I sent hg19_b138_b141_locOriAl_strandChange.txt.gz and # hg19_b138_b141_locOriAl_strandChange_alChange.txt to dbSNP # (again see https://ncbijira.ncbi.nlm.nih.gov/browse/VR-28) # Most, but not all of the changes were errors. ObservedMismatch is a solid # indicator: if b138 doesn't have it but b141 does, it's an error in b141, # but if b138 has it and b141 doesn't, then b141 is OK and shouldn't be swapped. # Unfortunately for C/G, A/T or insertion snps, the only way to tell for sure is # to realign the flanking sequences... if the reported strand is incorrect, then # the alignment is crap. So far all of the C/G and A/T examples that I have # looked at are wrong in b141, but I bet there are b141-OK ones hiding in there. # I want to fix what's broken in dbSNP, but not break anything new! # Repeat the analysis for dbSNP, but now use hg19 coords and include exceptions # (specifically, whether ObservedMismatch is present): zcat ../../138/human/snp138.bed.gz \ | awk -F"\t" '{if ($18 ~ /ObservedMismatch/) { gotObs = "y"; } else { gotObs = "n"; } \ print $1"."$2"."$3"."$4 "\t" $6 "\t" $7 "\t" $9 "\t" gotObs;}' \ | sort \ > hg19_snp138_locOriEtc.txt zcat snp141.bed.gz \ | awk -F"\t" '{if ($18 ~ /ObservedMismatch/) { gotObs = "y"; } else { gotObs = "n"; } \ print $1"."$2"."$3"."$4 "\t" $6 "\t" $7 "\t" $9 "\t" gotObs;}' \ | sort \ > hg19_snp141_locOriEtc.txt join -o 1.1,1.2,1.3,1.4,1.5,2.2,2.3,2.4,2.5 \ hg19_snp138_locOriEtc.txt hg19_snp141_locOriEtc.txt \ > hg19_snp138_snp141_locOriEtc.txt awk '$2 != $6 {print;}' hg19_snp138_snp141_locOriEtc.txt \ > hg19_snp138_snp141_locOriEtc_strandChange.txt wc -l hg19_snp138_snp141_locOriEtc_strandChange.txt #335220 hg19_snp138_snp141_locOriEtc_strandChange.txt # What's the breakdown of ObservedMismatch in b138 vs b141?: awk '{print $5, $9;}' hg19_snp138_snp141_locOriEtc_strandChange.txt | sort | uniq -c # 65294 n n # 269435 n y # 479 y n # 12 y y # Only 12 have a strand change but still get OM in both, take a look: awk '$5 == "y" && $9 == "y"' hg19_snp138_snp141_locOriEtc_strandChange.txt #chr11.72552605.72552606.rs187553889 + T C/G y - T C/G y #chr12.120990391.120990392.rs189978208 + G A/T y - G A/T y #chr12.121858512.121858513.rs183189219 + G A/T y - G A/T y #chr12.71286640.71286641.rs190625971 + G A/T y - G A/T y #chr12.72025810.72025811.rs182418005 + G A/T y - G A/T y #chr2.43768454.43768455.rs189409390 + C A/T y - C A/T y #chr2.43965624.43965625.rs183733596 + G A/T y - G A/T y #chr3.122545749.122545750.rs187447068 + A C/G y - A C/G y #chr3.122545908.122545909.rs182585191 + G A/T y - G A/T y #chr3.123512559.123512560.rs191098134 + G A/T y - G A/T y #chr6.31324909.31324910.rs188104024 + A C/G y - A C/G y #chr8.95565652.95565653.rs189964963 + T C/G y - T C/G y # rs187553889's flanking sequences map it to the same location as rs77419620, # chr11 | 72535846 | 72535847. So it's in the completely wrong place in both 138 & 141. # rs189978208 flanks -> location of rs186748904... whose flanks in turn map to # location of rs184077395! zomg. # rs183189219 flanks -> location of rs185279212... whose flanks -> rs77636759! # rs190625971 flanks -> loc of rs185820511... flanks -> rs73341069 # rs182418005 flanks -> loc of rs75047971 (16 bases left) # rs189409390 flanks -> loc of rs33979934 # rs183733596 flanks -> loc of rs192959614 # rs187447068 flanks -> loc of rs184298957 (2 bases left) whose flanks -> loc of rs114504955 # rs182585191 flanks -> loc of rs190197603 (2 bases left) # rs191098134 flanks -> loc of rs187262203 (2 bases left) # rs188104024 flanks -> loc of rs1050462 on chr6 (1 base right), chr6_cox_hap2 # rs189964963 flanks -> loc of rs185255459 (2 bases left) # All of those rs's have a single submitter: ILLUMINA|Cardio-Metabo_Chip # Reported that in VR-28. # Compare Ming's strand-change list with mine: g -v ^# firstBuild/b141_rs_orientation_flip_from_b138_list.txt \ | awk -F"|" '{print "rs"$4}' \ | sort \ > ids_ming_b138_b141_strandChange.txt perl -wpe 's/^.*(rs\d+) .*/$1/' hg19_snp138_snp141_locOriEtc_strandChange.txt \ | sort \ > ids_hg19_snp138_snp141_locOriEtc_strandChange.txt # Ming's list but not mine (map to different locations, looks OK in b141) comm -23 ids_ming_b138_b141_strandChange.txt ids_hg19_snp138_snp141_locOriEtc_strandChange.txt | wc -l #255 # Mine but not Ming's: comm -13 ids_ming_b138_b141_strandChange.txt ids_hg19_snp138_snp141_locOriEtc_strandChange.txt | wc -l #18422 # I think the way to go is to swap the strand unless b138 had ObservedMismatch. # To do it right, we need to modify the b141_SNPContigLoc_GRCh37p13 table and # then continue from addToDbSnp. # First make a list of snp_id's that need their strand swapped: awk '$5 == "n"' hg19_snp138_snp141_locOriEtc_strandChange.txt \ | perl -wpe 's/.*\.rs(\d+).*/$1/' \ > idsToSwapStrand.txt awk '$5 == "n"' hg19_snp138_snp141_locOriEtc_strandChange.txt \ | perl -wpe 's/^.*rs(\d+) ([+-]) .*// || die; \ ($snp_id, $strand) = ($1, $2); \ $ori = ($strand eq "-") ? 1 : 0; \ $_ = "update b141_SNPContigLoc_GRCh37p13 set orientation = $ori where snp_id = $snp_id;\n"' \ > fixOrientation.sql hgsql hg19snp141 < fixOrientation.sql # Now continue from addToDbSnp: ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra -continue=addToDbSnp \ >>& do.log & tail -f do.log # *** All done! # Upon examination of SNPs with weight > 1, it turned out that *none* of them # actually have MultipleAlignments - nor did they in snp138! I think they were # assigned weight > 1 incorrectly - possibly due to GRCh37 alt/patch matches. # I asked dbSNP about it on 8/22 but no reply: # https://ncbijira.ncbi.nlm.nih.gov/browse/VR-31 # Meanwhile, this convinces me that the weights should all be 1: zcat snp141Mult.bed.gz | grep MultipleAlignments | wc -l #0 zcat snp141Mult.bed.gz | cut -f 4 | sort > idsInMult.txt zcat ../../138/human/snp138Mult.bed.gz | cut -f 4 | sort > idsIn138Mult.txt grep -Fwf idsInMult.txt idsIn138Mult.txt > idsInMultAlso138.txt wc -l idsInMultAlso138.txt #0 idsInMultAlso138.txt # So I am going to tweak all of their weights to 1, because with weight > 1 they # are not displayed by default! We should drop the snp141Mult table because # there should be nothing in it -- they really did prune all multiple-mappers! mv snp141.bed.gz snp141BadWeights.bed.gz zcat snp141BadWeights.bed.gz \ | awk -F"\t" 'BEGIN{OFS="\t";} {$17 = 1; print;}' \ | gzip -c \ > snp141.bed.gz hgLoadBed -tab -onServer -tmpDir=$TMPDIR -allowStartEqualEnd -type=bed6+ \ hg19 snp141 -sqlTable=snp141.sql snp141.bed.gz # Now rebuild snp141{Common,Flagged} which were missing thousands of SNPs due to incorrect # weights. Fortunately, I don't need to redo ortho alleles or masked sequences # because they filter out MultipleAlignments ignoring weight. ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra -continue=filter -stop=filter \ >>& do.log & tail -f do.log # (before: snp141Common had 13764550 rows, snp141Flagged had 80472) # (after: snp141Common has 13780063 rows, snp141Flagged has 87410) zcat snp141Mult.bed.gz | wc -l #0 hgsql hg19 -e 'drop table snp141Mult;' ############################################################################## # SNP141 ORTHOLOGOUS ALLELES IN CHIMP, ORANG, MACAQUE (DONE 8/29/14 angie) # Redmine #13309 mkdir /hive/data/genomes/hg19/bed/snp141Ortho cd /hive/data/genomes/hg19/bed/snp141Ortho # Filter snp141 to to keep only uniquely mapped biallelic SNVs (class=single, length=1); zcat /hive/data/outside/dbSNP/141/human_hg19/snp141.bed.gz \ | awk '$18 ~ /^MultipleAlignments|SingleClassTriAllelic|SingleClassQuadAllelic/ {print $4;}' \ | sort -u \ > snp141ExcludeIds.txt wc -l snp141ExcludeIds.txt #304685 snp141ExcludeIds.txt # Glom all human info that we need for the final table onto the # name, to sneak it through liftOver: rsId|chr|start|end|obs|ref|strand zcat /hive/data/outside/dbSNP/141/human_hg19/snp141.bed.gz \ | awk '$3-$2 == 1 && $11 == "single" {print;}' \ | grep -vFwf snp141ExcludeIds.txt \ | awk 'BEGIN{OFS="\t";} \ {print $1, $2, $3, \ $4 "|" $1 "|" $2 "|" $3 "|" $9 "|" $8 "|" $6, \ 0, $6;}' \ > snp141ForLiftOver.bed # Map coords to chimp using liftOver. mkdir run.liftOChimp cd run.liftOChimp mkdir split out splitFile ../snp141ForLiftOver.bed 10000 split/chunk cp /dev/null jobList foreach f (split/chunk*) echo liftOver $f \ /hive/data/genomes/hg19/bed/liftOver/hg19ToPanTro4.over.chain.gz \ \{check out exists out/panTro4.$f:t.bed\} out/hg19.$f:t.unmapped \ >> jobList end ssh ku cd /hive/data/genomes/hg19/bed/snp141Ortho/run.liftOChimp para make jobList #Completed: 5408 of 5408 jobs #CPU time in finished jobs: 312849s 5214.15m 86.90h 3.62d 0.010 y #IO & Wait Time: 22692s 378.20m 6.30h 0.26d 0.001 y #Average job time: 62s 1.03m 0.02h 0.00d #Longest finished job: 213s 3.55m 0.06h 0.00d #Submission to last job: 1287s 21.45m 0.36h 0.01d # Map coords to orangutan using liftOver. mkdir ../run.liftOPon cd ../run.liftOPon mkdir out ln -s ../run.liftOChimp/split . cp /dev/null jobList foreach f (split/chunk*) echo liftOver $f \ /hive/data/genomes/hg19/bed/liftOver/hg19ToPonAbe2.over.chain.gz \ \{check out exists out/ponAbe2.$f:t.bed\} out/hg19.$f:t.unmapped \ >> jobList end para make jobList #Completed: 5408 of 5408 jobs #CPU time in finished jobs: 635602s 10593.37m 176.56h 7.36d 0.020 y #IO & Wait Time: 23934s 398.89m 6.65h 0.28d 0.001 y #Average job time: 122s 2.03m 0.03h 0.00d #Longest finished job: 451s 7.52m 0.13h 0.01d #Submission to last job: 1572s 26.20m 0.44h 0.02d # Map coords to macaque using liftOver. mkdir ../run.liftOMac cd ../run.liftOMac mkdir out ln -s ../run.liftOChimp/split . cp /dev/null jobList foreach f (split/chunk*) echo liftOver $f \ /hive/data/genomes/hg19/bed/liftOver/hg19ToRheMac3.over.chain.gz \ \{check out exists out/rheMac3.$f:t.bed\} out/hg19.$f:t.unmapped \ >> jobList end para make jobList #Completed: 5408 of 5408 jobs #CPU time in finished jobs: 783935s 13065.58m 217.76h 9.07d 0.025 y #IO & Wait Time: 28922s 482.03m 8.03h 0.33d 0.001 y #Average job time: 150s 2.51m 0.04h 0.00d #Longest finished job: 506s 8.43m 0.14h 0.01d #Submission to last job: 1888s 31.47m 0.52h 0.02d cd /hive/data/genomes/hg19/bed/snp141Ortho # Concatenate the chimp results, sorting by chimp pos in order to # efficiently access 2bit sequence in getOrthoSeq. The output of # that is then sorted by the glommed human info field, so that we # can use join to combine chimp and macaque results in the next step. # Ditto for macaque and orangutan. Each command pipe takes ~15 minutes: sort -k1,1 -k2n,2n run.liftOChimp/out/panTro4.chunk*.bed \ | ~/kent/src/hg/snp/snpLoad/getOrthoSeq.pl /cluster/data/panTro4/panTro4.2bit \ | sort > panTro4.orthoGlom.txt sort -k1,1 -k2n,2n run.liftOPon/out/ponAbe2.chunk*.bed \ | ~/kent/src/hg/snp/snpLoad/getOrthoSeq.pl /cluster/data/ponAbe2/ponAbe2.2bit \ | sort > ponAbe2.orthoGlom.txt sort -k1,1 -k2n,2n run.liftOMac/out/rheMac3.chunk*.bed \ | ~/kent/src/hg/snp/snpLoad/getOrthoSeq.pl /cluster/data/rheMac3/rheMac3.2bit \ | sort > rheMac3.orthoGlom.txt wc -l panTro4.orthoGlom.txt ponAbe2.orthoGlom.txt rheMac3.orthoGlom.txt # 50837337 panTro4.orthoGlom.txt # 48476085 ponAbe2.orthoGlom.txt # 43632613 rheMac3.orthoGlom.txt # Use the glommed name field as a key to join up chimp and macaque # allele data. Include glommed name from both files because if only # file 2 has a line for the key in 2.1, then 1.1 is empty. Then plop # in the orthoGlom fields from each file, which are in the same order # as the chimp and macaque columns of hg18.snp128OrthoPanTro2RheMac2. join -o '1.1 2.1 1.2 1.3 1.4 1.5 1.6 2.2 2.3 2.4 2.5 2.6' \ -a 1 -a 2 -e '?' \ panTro4.orthoGlom.txt ponAbe2.orthoGlom.txt \ | awk '{if ($1 != "?") { print $1, $3,$4,$5,$6,$7,$8,$9,$10,$11,$12; } \ else { print $2, $3,$4,$5,$6,$7,$8,$9,$10,$11,$12; }}' \ > tmp.txt join -o '1.1 2.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 1.10 1.11 2.2 2.3 2.4 2.5 2.6' \ -a 1 -a 2 -e '?' \ tmp.txt rheMac3.orthoGlom.txt \ | perl -wpe 'chomp; \ ($glom12, $glom3, $o1Chr, $o1Start, $o1End, $o1Al, $o1Strand, \ $o2Chr, $o2Start, $o2End, $o2Al, $o2Strand, \ $o3Chr, $o3Start, $o3End, $o3Al, $o3Strand) = split; \ $glomKey = ($glom12 ne "?") ? $glom12 : $glom3; \ ($rsId, $hChr, $hStart, $hEnd, $hObs, $hAl, $hStrand) = \ split(/\|/, $glomKey); \ $o1Start =~ s/^\?$/0/; $o2Start =~ s/^\?$/0/; $o3Start =~ s/^\?$/0/; \ $o1End =~ s/^\?$/0/; $o2End =~ s/^\?$/0/; $o3End =~ s/^\?$/0/; \ print join("\t", $hChr, $hStart, $hEnd, $rsId, $hObs, $hAl, $hStrand, \ $o1Chr, $o1Start, $o1End, $o1Al, $o1Strand, \ $o2Chr, $o2Start, $o2End, $o2Al, $o2Strand, \ $o3Chr, $o3Start, $o3End, $o3Al, $o3Strand) . "\n"; \ s/^.*$//;' \ | sort -k1,1 -k2n,2n > snp141OrthoPt4Pa2Rm3.bed hgLoadBed -tab -onServer -tmpDir=/data/tmp -renameSqlTable \ -sqlTable=$HOME/kent/src/hg/lib/snpOrthoPanPonRhe.sql \ hg19 snp141OrthoPt4Pa2Rm3 snp141OrthoPt4Pa2Rm3.bed #Read 52562974 elements of size 22 from snp141OrthoPt4Pa2Rm3.bed # Cleanup: rm -r run*/split tmp.txt *.orthoGlom.txt gzip snp141ExcludeIds.txt snp141ForLiftOver.bed snp141OrthoPt4Pa2Rm3.bed & ############################################################################ # SNPMASKED SEQUENCE FOR SNP141 (DONE 8/29/14 angie) # Redmine #13309 mkdir /hive/data/genomes/hg19/snp141Mask cd /hive/data/genomes/hg19/snp141Mask # Identify rsIds with various problems -- we will exclude those. zcat /hive/data/outside/dbSNP/141/human_hg19/snp141.bed.gz \ | awk '$18 ~ /MultipleAlignments|ObservedTooLong|ObservedWrongFormat|ObservedMismatch|MixedObserved/ {print $4;}' \ | sort -u \ > snp141ExcludeRsIds.txt zcat /hive/data/outside/dbSNP/141/human_hg19/snp141.bed.gz \ | grep -vFwf snp141ExcludeRsIds.txt \ > snp141Cleaned.bed wc -l snp141Cleaned.bed #59287443 snp141Cleaned.bed # Substitutions: mkdir substitutions snpMaskSingle snp141Cleaned.bed /hive/data/genomes/hg19/hg19.2bit stdout diffObserved.txt \ | faSplit byname stdin substitutions/ #Masked 52908561 snps in 52908552 out of 3095693983 genomic bases #/hive/data/genomes/hg19/hg19.2bit has 3137161264 total bases, but the total number of bases in sequences for which we masked snps is 3095693983 (difference is 41467281) # Check that 41467281 is the total #bases in sequences with nothing in snp141Cleaned: grep -Fw single snp141Cleaned.bed | cut -f 1 | uniq > /data/tmp/1 grep -vwf /data/tmp/1 ../chrom.sizes \ | awk 'BEGIN {TOTAL = 0;} {TOTAL += $2;} END {printf "%d\n", TOTAL;}' #41467281 # warnings about differing observed strings at same base position: wc -l diffObserved.txt #16 diffObserved.txt # -- small beans, and dbSNP is aware of thousands of SNPs that have clustering issues. # Make sure that sizes are identical, first diffs are normal -> IUPAC, # and first diffs' case is preserved: foreach f (substitutions/chr*.fa) faCmp -softMask $f ../[1-9UMXY]*/$f:t |& grep -v "that differ" end #chr1 in substitutions/chr1.fa differs from chr1 at ../1/chr1.fa at base 10176 (m != a) #chr10 in substitutions/chr10.fa differs from chr10 at ../10/chr10.fa at base 60522 (K != T) #... #(output OK -- ambiguous bases replacing [agct] at SNP positions) foreach f (substitutions/chr*.fa) echo $f:t:r mv $f $f:r.subst.fa end # Fire off a bunch of gzip jobs in parallel: ls -1 substitutions/*.fa | split -l 5 foreach f (x??) gzip `cat $f` & end # Wait for backgrounded gzip jobs to complete rm x?? # Insertions & deletions not done. To date we have only offered substs for download. # If there is user demand, use template from snp131 above. # Clean up and prepare for download: gzip snp141Cleaned.bed & foreach d (substitutions) pushd $d md5sum *.gz > md5sum.txt cp /hive/data/genomes/hg19/snp138Mask/$d/README.txt . popd end # Edit the README.txt. # Create download links on hgwdev. mkdir /usr/local/apache/htdocs-hgdownload/goldenPath/hg19/snp141Mask ln -s /hive/data/genomes/hg19/snp141Mask/substitutions/* \ /usr/local/apache/htdocs-hgdownload/goldenPath/hg19/snp141Mask/ ############################################################################ # peptideAtlas peptides mapped to the genome # Aug 2014 build # Build #433, based on Ensemblv75 mkdir -p /hive/data/genomes/hg19/bed/peptideAtlas/2014-Aug cd /hive/data/genomes/hg19/bed/peptideAtlas/2014-Aug wget --no-check-certificate -c "https://db.systemsbiology.net/sbeams/cgi/PeptideAtlas/GetPeptides?organism_name=homo%20sapiens&apply_action=QUERY&output_mode=tsv" -O peptideatlas_9606.tsv wget http://www.peptideatlas.org/builds/human/201408/coordinate_mapping.txt -O peptideAtlas.201408.tsv wc -l peptideAtlas.201408.tsv # 12858738 grep -v UNKNOWN peptideAtlas.201408.tsv > ens.txt wc -l ens.txt # 5449240 ens.txt # tripled from 2013! # 1396070 ens.txt # 42% mapped (compared to 30% prev) -- 5.4M total mapped perl toBed.pl < ens.txt > ens.bed grep -v chrH ens.bed | grep -v chrG | sed 's/chrMT/chrM/'| sort | uniq > ens.clean.bed wc -l ens.clean.bed # 4868641 ens.clean.bed # To preview, load just the regions # bedDetail 6 cat << 'EOF' > peptideAtlas.sql CREATE TABLE peptideAtlas2014 ( chrom varchar(255) not null, # Reference sequence chromosome or scaffold chromStart int unsigned not null, # Start position in chromosome chromEnd int unsigned not null, # End position in chromosome name varchar(255) not null, # Short Name of item id varchar(255) not null, # ID to be used in URL to link back description longblob not null, # Long description of item for the details page #Indices INDEX(chrom, chromStart) ); 'EOF' sort -k1,1 -k2,2n ens.clean.bed > ens.sorted.bed hgLoadSqlTab hg19 peptideAtlasRegions2014 peptideAtlas.sql ens.sorted.bed # To link up exons, we need the full database wget http://www.peptideatlas.org/builds/human/201408/atlas_build_433.mysql.gz hgsql '' -e 'create database peptideAtlas2014' zcat atlas_build_433.mysql.gz | hgsql peptideAtlas2014 csh scanFull.csh | grep TABLE #TABLE: peptide : 1021823 #TABLE: peptide_instance : 1021823 #TABLE: peptide_instance_search_batch : 18156629 #TABLE: peptide_mapping : 12821066 csh getSamples.csh > samples.tab tail -n +2 hgLoadSqlTab hgFixed peptideAtlasSample433 ~/kent/src/hg/lib/peptideAtlasSample.sql stdin # sample Ids aren't correct when reloaded into the DB -- they sent me this to use instead: wget http://www.peptideatlas.org/builds/human/201408/peptide_instance_sample.tar.gz tar xvfz /peptide_instance_sample.tar.gz # exploratory hgsql -N peptideAtlas2014 -e 'select min(peptide_length), max(peptide_length) from peptide' +------+------+ | 7 | 83 | +------+------+ hgsql -N peptideAtlas2014 -e 'select peptide_length from peptide order by peptide_length' | textHistogram stdin -binSize=3 -minVal=7 -maxBinCount=30 -log 7 *********************************************************** 187407 10 ************************************************************ 237387 13 *********************************************************** 198221 16 ********************************************************** 141932 19 ******************************************************** 94676 22 ***************************************************** 61945 25 *************************************************** 39636 28 ************************************************* 25360 31 ********************************************** 14571 34 ******************************************** 8632 37 ***************************************** 5069 40 *************************************** 2992 43 ************************************ 1677 46 ********************************* 1000 49 ******************************* 568 52 **************************** 330 55 ************************* 174 58 *********************** 126 61 ******************* 51 64 **************** 30 67 *************** 20 70 ********** 8 73 ********* 7 76 1 79 *** 2 82 1 hgsql peptideAtlas2014 -e "select peptide_instance_id as peptide, matched_biosequence_id as bioseq, chromosome as chrom, start_in_chromosome as chromStart, end_in_chromosome as chromEnd, strand from peptide_mapping where chromosome='X' group by peptide, chromStart, chromEnd, strand order by peptide, chromStart, bioseq" > chrX_mappings.tab # max #mappings = 203 hgsql peptideAtlas2014 -e "select peptide.peptide_accession as accession, peptide.peptide_sequence as sequence, peptide.SSRCalc_relative_hydrophobicity as hydrophobicity, peptide_instance.empirical_proteotypic_score as proteotypicScore, peptide_instance.n_samples as sampleCount from peptide, peptide_instance where peptide_instance.peptide_id=peptide.peptide_id order by peptide.peptide_accession" > peptides.tab hgsql peptideAtlas2014 -e "select peptide.peptide_accession as accession, peptide.peptide_length as length, peptide.peptide_sequence as sequence, peptide.SSRCalc_relative_hydrophobicity as hydrophobicity, peptide_instance.empirical_proteotypic_score as proteotypicScore, peptide_instance.n_samples as sampleCount from peptide, peptide_instance where peptide_instance.peptide_id=peptide.peptide_id order by peptide.peptide_accession" > peptides.len.tab wc -l peptides.tab #1021823 peptides.tab # create protein fasta file of sequences for download awk 'NR != 1 {printf(">%s\n%s\n", $1, $2)}' peptides.tab > peptides.fa mkdir downloads mv peptides.fa downloads cd /usr/local/apache/htdocs-hgdownload/goldenPath/hg19 mkdir peptideAtlas cd peptideAtlas ln -s /hive/data/genomes/hg19/bed/peptideAtlas/2014-Aug/downloads/peptides.fa . md5sum peptides.fa > md5sum.txt cat > README.txt << 'EOF' This directory contains peptide sequences from the August 2014 Human Build of PeptideAtlas (peptideatlas.org). 'EOF' #tail -n +2 peptides.tab | \ #hgLoadSqlTab hgFixed peptideAtlas2014Peptides ~/kent/src/hg/lib/peptideAtlasPeptide.sql stdin # BUG FIX: RM #15998 # Reload peptideAtlas2014Peptides table with columns in the right order # 2015-09-08 (kate) tail -n +2 peptides.tab | awk '{OFS="\t"}{ print $1, $2, $5, $3, $4}' | \ hgLoadSqlTab hgFixed peptideAtlas2014PeptidesFixed ~/kent/src/hg/lib/peptideAtlasPeptide.sql stdin hgsql hgFixed -e 'alter table peptideAtlas2014Peptides rename to peptideAtlas2014Peptides_old' hgsql hgFixed -e 'alter table peptideAtlas2014PeptidesFixed rename to peptideAtlas2014Peptides' # extract mappings with some metadata (biosequence matched (protein and gene))) # use number of samples where the peptide was observed as the score (to be scaled) # filter out patches (which we do not annotate), and contig-based mappings hgsql peptideAtlas2014 -e "select concat('chr', peptide_mapping.chromosome) as chr, peptide_mapping.start_in_chromosome-1 as chromStart, peptide_mapping.end_in_chromosome as chromEnd, peptide.peptide_accession as name, peptide_instance.n_samples as score, peptide_mapping.strand as strand, biosequence.biosequence_name as biosequence, biosequence.biosequence_gene_name as gene from peptide_mapping, peptide, peptide_instance, biosequence where peptide_mapping.chromosome not like '%PATCH' and peptide_mapping.chromosome not like '%CTG%' and peptide_mapping.chromosome not like '%TEST' and peptide_mapping.chromosome <> '0' and peptide.peptide_id=peptide_instance.peptide_id and peptide_mapping.peptide_instance_id=peptide_instance.peptide_instance_id and peptide_mapping.matched_biosequence_id=biosequence.biosequence_id order by chr, biosequence, chromStart" > mappings.atlas.bed # lift (actually, drop) alt haplotype mappings to 0-based UCSC hap chrom coords tail -n +2 mappings.atlas.bed | sed 's/chrHSCHR/HSCHR/' | \ liftUp mappings.lifted.bed /hive/data/genomes/hg19/jkStuff/ensGene.haplotype.lift carry stdin # translate contig names to UCSC chromosome names sed \ -e 's/GL000191.1/1_gl000191_random/' \ -e 's/GL000194.1/4_gl000194_random/' \ -e 's/GL000195.1/7_gl000195_random/' \ -e 's/GL000201.1/9_gl000201_random/' \ -e 's/GL000205.1/17_gl000205_random/' \ -e 's/GL000209.1/19_gl000209_random/' \ -e 's/GL000213.1/Un_gl000213/' \ -e 's/GL000218.1/Un_gl000218/' \ -e 's/GL000219.1/Un_gl000219/' \ -e 's/GL000222.1/Un_gl000222/' \ -e 's/GL000223.1/Un_gl000223/' \ -e 's/GL000242.1/Un_gl000242/' \ -e 's/MT/M/' \ mappings.lifted.bed > mappings.bed # link up exons and remove dups (peptides mapped to multiple targets at the same genomic location) # experiments # %splitFileByColumn mappings.bed mappings # creates mappings/chr*.bed # ?? blat -t=dnax -q=prot -out=pslx /hive/data/genomes/hg19/hg19.2bit/ peptides.fa peptides.psl # fed some sequences (test.fa) to webBlat... it finds more matches, but doesn't extend across # exon boundaries as well (w/ default config). In my sample, the positions corresponding # to peptideAtlas positions were 100% matches. # NOTE: many sequences are shorter than blat's required 14 er link exons and de-dup # gitted in kent/src/hg/makeDb/outside/peptideAtlas linkPeptideMappings.pl mappings.bed > mappings.bed12 wc -l mappings.bed mappings.bed12 # 5145435 mappings.bed # 1189307 mappings.bed12 bedSort mappings.bed12 mappings.sorted.bed12 hgLoadBed hg19 peptideAtlas2014 mappings.bed12 # Read 1189306 elements of size 12 from mappings.bed12 # NOTE: consider using pslMap to lift these to hg38 # count number of peptide sequences in sample dump awk -F',' '{print $2}' peptide_inst*tsv | sort | uniq | wc -l # 1021824 # check if peptides match translated genome (if so we can display w/o loading in main table) sequenceForBed -db=hg19 -keepName -bedIn=mappings.bed12 -fastaOut=mappings.fa faTrans mappings.fa peptides.fa faToTab -type=protein peptides.fa stdout | sort | uniq > peptides.fromMappings.tab tail -n +2 peptides.tab | awk '{print $1,"\t", $2}' | diff - peptides.fromMappings.tab # yes -- they are exact matches ############## # experiments featureBits hg19 peptideAtlas14 # 15624786 bases of 2897316137 (0.539%) in intersection featureBits hg19 -enrichment refGene:cds peptideAtlas2014 # refGene:cds 1.212%, peptideAtlas2014 0.539%, both 0.533%, cover 44.00%, enrich 81.58x # alternate mappings for the peptides, using FenyoLab PGx # Drag/Drop peptides.fa to web tool mkdir pgx cd pgx bedSort peptideAtlas.pgx.bed peptideAtlas.pgx.sorted.bed wc -l mappings.sorted.bed12 pgx/*.sorted.bed #1189306 mappings.sorted.bed12 #1111981 pgx/peptideAtlas.pgx.sorted.bed hgLoadBed hg19 peptideAtlas2014Pgx peptideAtlas.pgx.sorted.bed hgsql hg19 -e 'select distinct(name) from peptideAtlas2014 order by name' > peptides.mapped.txt hgsql hg19 -e 'select distinct(accession) from hgFixed.peptideAtlas2014Peptides order by accession' > peptides.all.txt # diff, awk, sed > peptides.unmapped.txt wc -l peptides.unmapped.txt # 20498 ############################################################################## # DBSNP B142 / SNP142 (DONE 10/14/15) # originally done 11/03/14 # 11/17/14: Allele dump file was outdated at time of download -- it was re-dumped a couple weeks # after release. snp142 was missing some frequencies due to incomplete join with Allele. # Rebuilding all tables that have allele frequencies (just the track tables & exceptions). # 2/17/15: User reported missing validation info (#14836); Jonathan found that SNP.bcp.gz # had been updated 1/30/15, argh. Rebuilding parts that depend on the SNP table. # 10/14/15: Zero out the allele freq columns for snp142 rows on the '-' strand that include # 1000GENOMES in submitters, because they are incorrect (Bug #16204). # Regenerate snp142{Common,Flagged,Mult}. # Redmine #14189 mkdir -p /hive/data/outside/dbSNP/142/human_hg19 cd /hive/data/outside/dbSNP/142/human_hg19 # Look at the directory listing of ftp://ftp.ncbi.nih.gov/snp/organisms/ # to find the subdir name to use as orgDir below (human_9606_b142_GRCh37p13 in this case). # Go to that subdirectory, then to database/organism_data/ and look for files # whose names start with b142_* and may or may not end with a suffix that identifies # the build assembly version or some annotation version. If there is a suffix shared # by all b142_* files, add that to config.ra as the "buildAssembly". cat > config.ra <<EOF db hg19 orgDir human_9606_b142_GRCh37p13 build 142 buildAssembly 105 liftUp /hive/data/genomes/hg19/jkStuff/liftContigs.lft refAssemblyLabel GRCh37.p13 EOF ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra >>& do.log & tail -f do.log # It fails with a list of unliftable contigs -- look at dbSnpContigsNotInUcsc.txt # to make sure they're all patch contigs as expected, then start over, ignoring those: cut -f 2 cantLiftUpSeqNames.txt > patchContigs.txt cat >> config.ra <<EOF ignoreDbSnpContigsFile patchContigs.txt EOF # Continue at loadDbSnp. Stop after loadDbSnp to identify SNPs whose sequences didn't # make it into the rs_fasta dump files; we can fetch those separately from dbSNP's # batch query. ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra -continue=loadDbSnp -stop=loadDbSnp \ >>& do.log & tail -f do.log # Compare rs IDs in rs_fasta with b142_SNPContigLoc_105 to see which IDs were # omitted from the rs_fasta dump. zcat rs_fasta/rs*.fas.gz \ | perl -wne 'if (/^>/) { s/^>gnl\|dbSNP\|(rs\d+) .*/$1/ || die; print; }' \ | sort -u > rsFastaIds.txt hgsql hg19snp142 -NBe 'select concat("rs", snp_id) from b142_SNPContigLoc_105' \ | sort -u > contigLocIds.txt comm -13 rsFastaIds.txt contigLocIds.txt > missingFromRsFasta.txt wc -l missingFromRsFasta.txt #6 missingFromRsFasta.txt # A lot fewer than in snp141! # Fetch fasta for those ids from dbSNP's batch_query. # Go to this URL: # http://www.ncbi.nlm.nih.gov/projects/SNP/dbSNP.cgi?list=rsfile # Enter your email address, select FASTA as output format, and upload missingFromRsFasta.txt # Wait for email with link to results, then download the results: # NOTE: after waiting >1 hour with no email from dbSNP, since there are only 6 this time, # I manually checked then on dbSNP's web site. All 6 had a message like this: #rs483352939 was deleted on Sep 29, 2014 because its subsnp_id was deleted: # so rs_fasta is actually complete this time and those 6 in SNPContigLoc can be dropped! # Here's what I would have done if actual fasta sequences were returned: wget -O rs_fasta/rs_chBatchQuery.fas.gz $fileFromDbSnpEmail # Now continue from the addToDbSnp step. ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra -continue addToDbSnp \ >>& do.log & tail -f do.log # *** All done! # Wow, it almost never runs so smoothly; there are usually some formatting weirdnesses # that gum up snpNcbiToUcsc in the translate step. # However, as in b141, there are a bunch of items with weight > 1 but not MultipleAlignments. # I updated https://ncbijira.ncbi.nlm.nih.gov/browse/VR-31 with a comment. # Fix them up locally: mv snp142.bed.gz snp142BadWeights.bed.gz zcat snp142BadWeights.bed.gz \ | awk -F"\t" 'BEGIN{OFS="\t";} $18 !~ /MultipleAlignments/ {$17 = 1;} {print;}' \ | gzip -c \ > snp142.bed.gz hgLoadBed -tab -onServer -tmpDir=$TMPDIR -allowStartEqualEnd -type=bed6+ \ hg19 snp142 -sqlTable=snp142.sql snp142.bed.gz #Read 113128211 elements of size 25 from snp142.bed.gz # Now rebuild snp142{Common,Flagged} which were missing thousands of SNPs due to incorrect # weights. ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra -continue=filter -stop=filter \ >>& do.log & tail -f do.log # *** All done! (through the 'filter' step) # NOTE: from here on out is exploratory stuff -- I ended up ignoring the extra files. # Download some of dbSNP's misc files for 142 to see if we can/should work them in: wget ftp://ftp.ncbi.nlm.nih.gov/snp/organisms/human_9606/misc/1kg_70K_phase_update.txt.gz wget ftp://ftp.ncbi.nlm.nih.gov/snp/organisms/human_9606/misc/1kg_70K_phase_update.txt.README gunzip 1kg_70K_phase_update.txt.gz # The first version of that file had some incorrect entries; reported to dbSNP # (https://ncbijira.ncbi.nlm.nih.gov/browse/VR-32); re-downloaded after fixes. # column headers from README: #subsnp_id|snp_id|loc_snp_id|old_chr|old_pos|old_ref_allele|old_alt_allele|new_chr|new_pos|new_ref|new_alt| # First line moves the position 8 bases to the left: #1367645320|576104692|PHASE3_V1_2774|1|723761|-|GAGAGAGG|1|723753|-|GAGAGAGG| # Look for allele changes: cut -d\| -f 2,4- --output-delimiter=' ' 1kg_70K_phase_update.txt\ | awk '$4 != $8 || $5 != $9' \ | head #532008114 1 5366489 - TTTTG 1 5366485 - TTTGT #543956793 1 6266877 AG - 1 6266874 GA - #558079733 1 7056752 GAA - 1 7056750 AAG - #566669620 1 8121175 - AATAATAATAA 1 8121167 - AATAATAAAAT # Yep, looks like left-shifting of indel alignments. I think the first one could be # shifted even further left (5366474 TTTTG) but maybe I got my eyes crossed. # I found 32 cases of an insertion turning into an SNV while flank alignment # indicates insertion - https://ncbijira.ncbi.nlm.nih.gov/browse/VR-33 # Sent the output from this: awk -F\| '$6 == "-" && $10 != "-"' 1kg_70K_phase_update.txt # Do any of these change allele length? cut -d\| -f 2,4- --output-delimiter=' ' 1kg_70K_phase_update.txt\ | sed -re 's/\t-\t/\t\t/g' \ | awk -F"\t" 'length($4) != length($8) || length($5) != length($9)' \ | sed -re 's/\t\t/\t-\t/g' \ | head #561146841 1 10948353 - AAAT 1 10948349 - AAATAAATAAAT #561146841 1 10948353 - AAATAAATAAAT 1 10948349 - AAATAAATAAATAAAT #561146841 1 10948353 - AAATAAATAAATAAAT 1 10948349 - AAATAAATAAATAAATAAAT #558127253 1 27541302 - TTTA 1 27541298 - TTTATTTA #561583565 1 28001357 - TTTTC 1 28001352 - TTTTCTTTTC # Ah, 561146841 is all jumbled there because it has multiple alt alleles -- # it should simply move 4 bases to the left. # BLAT doesn't find rs558127253's flanking seqs! But it's messed up by mult alleles too. # Blatting reminds me that changing the position should also mean changing the flanking # sequences, and there's not enough info to do that reliably. So I think I won't apply # the changes after all. # 11/17/14: Allele dump file was outdated at time of download -- it was re-dumped a couple weeks # after release. snp142 was missing some frequencies due to incomplete join with Allele. # Rebuilding all tables that have allele frequencies (just the track tables & exceptions). # First download the updated Allele dump file: cd /hive/data/outside/dbSNP/142/shared rm Allele.bcp.gz wget --timestamping --no-verbose ftp://ftp.ncbi.nih.gov/snp/database/shared_data/Allele.bcp.gz cd /hive/data/outside/dbSNP/142/human_hg19 # Clear out old data from Allele table, then reload with new dump file as in loadDbSnp.csh: hgsql hg19snp142 -e 'delete from Allele' zcat /hive/data/outside/dbSNP/142/shared/Allele.bcp.gz \ | perl -wpe 's/(\d\d:\d\d:\d\d)\.\d+/$1/g; s/\t(\t|\n)/\t\\N$1/g; s/\t(\t|\n)/\t\\N$1/g;' \ | hgLoadSqlTab -oldTable hg19snp142 Allele placeholder stdin hgsql hg19snp142 -e 'alter table Allele add index (allele_id);' # Now update ucscAlleleFreq as in addToDbSnp.csh: /cluster/home/angie/kent/src/hg/utils/automation/snpAddTGPAlleleFreq.pl hg19snp142 \ -contigLoc=b142_SNPContigLoc_105 -deDupTGP \ > ucscAlleleFreq.txt hgLoadSqlTab hg19snp142 ucscAlleleFreq{,.sql,.txt} # Now re-run from bigJoin onward. mkdir `cat workingDir` ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra -continue=bigJoin \ >>& do.log & tail -f do.log ######################################################################### # 1/23/15: Jonathan noticed that NonIntegerChromCount's count in snp142ExceptionDesc # was much higher than the number of snp142 rows with NonIntegerChromCount; turns out # it was tallied per allele not per variant. Fixed, regenerate; cd /hive/data/outside/dbSNP/142/human_hg19 snpNcbiToUcsc -snp132Ext -par=par.bed.gz ucscNcbiSnp.bed.gz /hive/data/genomes/hg19/hg19.2bit \ snp142RedoExceptionDesc # Takes ~45min. Make sure there are no changes to snp142.bed: zcat snp142.bed.gz > /data/tmp/snp142.bed cmp /data/tmp/snp142.bed snp142RedoExceptionDesc.bed # No output -- good. rm /data/tmp/snp142.bed mv snp142ExceptionDesc.tab.gz snp142ExceptionDesc.tab.bak.gz mv snp142RedoExceptionDescExceptionDesc.tab snp142ExceptionDesc.tab hgLoadSqlTab hg19 snp142ExceptionDesc $HOME/kent/src/hg/lib/snp125ExceptionDesc.sql \ snp142ExceptionDesc.tab rm snp142RedoExceptionDesc* ######################################################################### # 2/17/15: User reported missing validation info (#14836); Jonathan found that SNP.bcp.gz # had been updated 1/30/15, argh. Rebuilding parts that depend on the SNP table. # First get a baseline, so we know whether the updated file has fixed the problem: hgsql hg19 -e 'select count(*) from snp142 where valid = "unens"' #| 107373843 | cd /hive/data/outside/dbSNP/142/human_hg19/data mv SNP.bcp.gz SNP.orig.bcp.gz # dbSNP updated only the GRCh38 copy of the file, but SNP.bcp.gz has assembly-independent # info so just link to the GRCh38 copy (see hg38/variation.txt): ln -s ../../human_hg38/data/SNP.bcp.gz . # Empty out hg19snp142.SNP because our loading command uses -oldTable because of table.sql...: hgsql hg19snp142 -e 'delete from SNP' # from loadDbSnp.csh: zcat /hive/data/outside/dbSNP/142/human_hg19/data/SNP.bcp.gz \ | perl -wpe 's/(\d\d:\d\d:\d\d)\.\d+/$1/g; s/\t(\t|\n)/\t\\N$1/g; s/\t(\t|\n)/\t\\N$1/g;' \ | hgLoadSqlTab -oldTable hg19snp142 SNP placeholder stdin # Make sure there's no need to (re)create the index on snp_id as in loadDbSnp.csh. hgsql hg19snp142 -e 'show index from SNP' #| SNP | 1 | snp_id | 1 | snp_id | A | 112745696 | NULL | NULL | YES | BTREE | | | # yep, the index is still there. # Now re-run from bigJoin onward. mkdir -p `cat workingDir` ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra -continue=bigJoin -stop=filter \ >>& do.log & tail -f do.log # Make sure the updated file has fixed the problem (i.e. has << 107373843 missing 'valid' vals): hgsql hg19 -e 'select count(*) from snp142 where valid = "unens"' #| 24180022 | # 24M out of 113M is significantly less than 107M/113M, but still -- that's a lot!! # By way of comparison, snp138 has -- wow, 20M out of 65M! Never realized it was that bad. ######################################################################### # 10/14/15: Zero out the allele freq columns for snp142 rows on the '-' strand that include # 1000GENOMES in submitters, because they are incorrect (Bug #16204). # Regenerate snp142{Common,Flagged,Mult}. cd /hive/data/outside/dbSNP/142/human_hg19 hgsql hg19 -e 'update snp142 \ set alleleFreqCount=0, alleles="", alleleNs="", alleleFreqs="" \ where strand = "-" and find_in_set("1000GENOMES", submitters);' mv snp142.bed.gz snp142.150219.bed.gz zcat snp142.150219.bed.gz \ | awk -F"\t" 'BEGIN{OFS="\t";} \ ($6 == "-" && $20 ~ /1000GENOMES/) { $21=0; $22 = ""; $23 = ""; $24 = ""; } {print;}' \ > snp142.bed # Make sure the changes are as intended: zcat snp142.150219.bed.gz | diff - snp142.bed | less gzip snp142.bed ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra -continue=filter -stop=filter \ >>& do.log & tail -f do.log # *** All done! (through the 'filter' step) ############################################################################## # SNP142 ORTHOLOGOUS ALLELES IN CHIMP, ORANG, MACAQUE (DONE 11/05/14 angie) # Redmine #13309 mkdir /hive/data/genomes/hg19/bed/snp142Ortho cd /hive/data/genomes/hg19/bed/snp142Ortho # Filter snp142 to to keep only uniquely mapped biallelic SNVs (class=single, length=1); zcat /hive/data/outside/dbSNP/142/human_hg19/snp142.bed.gz \ | awk '$18 ~ /^MultipleAlignments|SingleClassTriAllelic|SingleClassQuadAllelic/ {print $4;}' \ | sort -u \ > snp142ExcludeIds.txt wc -l snp142ExcludeIds.txt #905216 snp142ExcludeIds.txt # Glom all human info that we need for the final table onto the # name, to sneak it through liftOver: rsId|chr|start|end|obs|ref|strand zcat /hive/data/outside/dbSNP/142/human_hg19/snp142.bed.gz \ | awk '$3-$2 == 1 && $11 == "single" {print;}' \ | grep -vFwf snp142ExcludeIds.txt \ | awk 'BEGIN{OFS="\t";} \ {print $1, $2, $3, \ $4 "|" $1 "|" $2 "|" $3 "|" $9 "|" $8 "|" $6, \ 0, $6;}' \ > snp142ForLiftOver.bed # Do a cluster run to use liftOver to get the other species' coords # and get the species' "allele" (reference assembly base) at that location. # End with a lexical sort because we're going to join these files later. cat > liftOne.csh<<'EOF' #!/bin/csh -ef set chunkFile = $1 set db = $2 set outFile = $3 set Db = `echo $db | perl -wpe 's/(\S+)/\u$1/'` set liftOverFile = /hive/data/genomes/hg19/bed/liftOver/hg19To$Db.over.chain.gz set other2bit = /hive/data/genomes/$db/$db.2bit liftOver $chunkFile $liftOverFile stdout /dev/null \ | $HOME/kent/src/hg/snp/snpLoad/getOrthoSeq.pl $other2bit \ | sort > $outFile 'EOF' EOF chmod a+x liftOne.csh # Map coords to chimp using liftOver. mkdir run.liftOver cd run.liftOver mkdir split out # NOTE FOR NEXT TIME: make it 20000 splitFile ../snp142ForLiftOver.bed 10000 split/chunk cp /dev/null jobList foreach chunkFile (split/chunk*) set chunk = $chunkFile:t:r foreach db (panTro4 ponAbe2 rheMac3) echo ../liftOne.csh $chunkFile $db \{check out exists out/$db.$chunk.bed\} \ >> jobList end end ssh ku screen -S ortho -t ortho cd /hive/data/genomes/hg19/bed/snp142Ortho/run.liftOver para make jobList #Completed: 30927 of 30927 jobs #CPU time in finished jobs: 5106791s 85113.19m 1418.55h 59.11d 0.162 y #IO & Wait Time: 96849s 1614.14m 26.90h 1.12d 0.003 y #Average job time: 168s 2.80m 0.05h 0.00d #Longest finished job: 1024s 17.07m 0.28h 0.01d #Submission to last job: 6281s 104.68m 1.74h 0.07d cd /hive/data/genomes/hg19/bed/snp142Ortho # Join the results for each chunk: cat > joinOne.csh <<'EOF' #!/bin/csh -ef set chimpFile = $1 set orangFile = $2 set macFile = $3 set outFile = $4 set tmpFile = `mktemp` # Use the glommed name field as a key to join up chimp, orang and macaque # allele data. Include glommed name from both files because if only # file 2 has a line for the key in 2.1, then 1.1 is empty. Then plop # in the orthoGlom fields from each file, which are in the same order # as the chimp and macaque columns of hg18.snp128OrthoPanTro2RheMac2. join -o '1.1 2.1 1.2 1.3 1.4 1.5 1.6 2.2 2.3 2.4 2.5 2.6' \ -a 1 -a 2 -e '?' \ $chimpFile $orangFile \ | awk '{if ($1 != "?") { print $1, $3,$4,$5,$6,$7,$8,$9,$10,$11,$12; } \ else { print $2, $3,$4,$5,$6,$7,$8,$9,$10,$11,$12; }}' \ > $tmpFile join -o '1.1 2.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 1.10 1.11 2.2 2.3 2.4 2.5 2.6' \ -a 1 -a 2 -e '?' \ $tmpFile $macFile \ | perl -wpe 'chomp; \ ($glom12, $glom3, $o1Chr, $o1Start, $o1End, $o1Al, $o1Strand, \ $o2Chr, $o2Start, $o2End, $o2Al, $o2Strand, \ $o3Chr, $o3Start, $o3End, $o3Al, $o3Strand) = split; \ $glomKey = ($glom12 ne "?") ? $glom12 : $glom3; \ ($rsId, $hChr, $hStart, $hEnd, $hObs, $hAl, $hStrand) = \ split(/\|/, $glomKey); \ $o1Start =~ s/^\?$/0/; $o2Start =~ s/^\?$/0/; $o3Start =~ s/^\?$/0/; \ $o1End =~ s/^\?$/0/; $o2End =~ s/^\?$/0/; $o3End =~ s/^\?$/0/; \ print join("\t", $hChr, $hStart, $hEnd, $rsId, $hObs, $hAl, $hStrand, \ $o1Chr, $o1Start, $o1End, $o1Al, $o1Strand, \ $o2Chr, $o2Start, $o2End, $o2Al, $o2Strand, \ $o3Chr, $o3Start, $o3End, $o3Al, $o3Strand) . "\n"; \ s/^.*$//;' \ > $outFile rm $tmpFile 'EOF' EOF chmod a+x joinOne.csh mkdir /hive/data/genomes/hg19/bed/snp142Ortho/run.join cd /hive/data/genomes/hg19/bed/snp142Ortho/run.join mkdir out ln -s ../run.liftOver/split . cp /dev/null jobList foreach f (split/chunk*) set chunk = $f:t echo ../joinOne.csh ../run.liftOver/out/{panTro4,ponAbe2,rheMac3}.$chunk.bed \ \{check out exists out/$chunk.bed\} \ >> jobList end para make jobList #Completed: 10309 of 10309 jobs #CPU time in finished jobs: 2779s 46.32m 0.77h 0.03d 0.000 y #IO & Wait Time: 44119s 735.32m 12.26h 0.51d 0.001 y #Average job time: 5s 0.08m 0.00h 0.00d #Longest finished job: 52s 0.87m 0.01h 0.00d #Submission to last job: 1250s 20.83m 0.35h 0.01d # Back on hgwdev, cat all of the joined results together (~45mins) & load table. cd /hive/data/genomes/hg19/bed/snp142Ortho sort -k1,1 -k2n,2n run.join/out/chunk*.bed > snp142OrthoPt4Pa2Rm3.bed hgLoadBed -tab -onServer -tmpDir=/data/tmp -renameSqlTable \ -sqlTable=$HOME/kent/src/hg/lib/snpOrthoPanPonRhe.sql \ hg19 snp142OrthoPt4Pa2Rm3 snp142OrthoPt4Pa2Rm3.bed #Read 100654051 elements of size 22 from snp142OrthoPt4Pa2Rm3.bed # Cleanup: rm -r run*/out run*/split gzip snp142ExcludeIds.txt snp142ForLiftOver.bed snp142OrthoPt4Pa2Rm3.bed & ############################################################################## # SNPMASKED SEQUENCE FOR SNP142 (DONE 11/5/14 angie) # Redmine #13309 mkdir /hive/data/genomes/hg19/snp142Mask cd /hive/data/genomes/hg19/snp142Mask # Identify rsIds with various problems -- we will exclude those. zcat /hive/data/outside/dbSNP/142/human_hg19/snp142.bed.gz \ | awk '$18 ~ /MultipleAlignments|ObservedTooLong|ObservedWrongFormat|ObservedMismatch|MixedObserved/ {print $4;}' \ | sort -u \ > snp142ExcludeRsIds.txt zcat /hive/data/outside/dbSNP/142/human_hg19/snp142.bed.gz \ | grep -vFwf snp142ExcludeRsIds.txt \ > snp142Cleaned.bed wc -l snp142Cleaned.bed #110419467 snp142Cleaned.bed # Substitutions: mkdir substitutions snpMaskSingle snp142Cleaned.bed /hive/data/genomes/hg19/hg19.2bit stdout diffObserved.txt \ | faSplit byname stdin substitutions/ #Masked 102937577 snps in 102937575 out of 3137079239 genomic bases #/hive/data/genomes/hg19/hg19.2bit has 3137161264 total bases, but the total number of bases in sequences for which we masked snps is 3137079239 (difference is 82025) # Check that 82025 is the total #bases in sequences with nothing in snp142Cleaned: grep -Fw single snp142Cleaned.bed | cut -f 1 | uniq > /data/tmp/1 grep -vwf /data/tmp/1 ../chrom.sizes \ | awk 'BEGIN {TOTAL = 0;} {TOTAL += $2;} END {printf "%d\n", TOTAL;}' #82025 # warnings about differing observed strings at same base position: wc -l diffObserved.txt #2 diffObserved.txt # peanuts! good. # Make sure that sizes are identical, first diffs are normal -> IUPAC, # and first diffs' case is preserved: foreach f (substitutions/chr*.fa) faCmp -softMask $f ../[1-9UMXY]*/$f:t |& grep -v "that differ" end #chr1 in substitutions/chr1.fa differs from chr1 at ../1/chr1.fa at base 10107 (y != c) #chr10 in substitutions/chr10.fa differs from chr10 at ../10/chr10.fa at base 60493 (R != A) #... #(output OK -- ambiguous bases replacing [agct] at SNP positions) foreach f (substitutions/chr*.fa) echo $f:t:r mv $f $f:r.subst.fa end # Fire off a bunch of gzip jobs in parallel: ls -1 substitutions/*.fa | split -l 5 foreach f (x??) gzip `cat $f` & end # Wait for backgrounded gzip jobs to complete rm x?? # Insertions & deletions not done. To date we have only offered substs for download. # If there is user demand, use template from snp131 above. # Clean up and prepare for download: gzip snp142Cleaned.bed & foreach d (substitutions) pushd $d md5sum *.gz > md5sum.txt cp /hive/data/genomes/hg19/snp141Mask/$d/README.txt . popd end # Edit the README.txt. # Create download links on hgwdev. mkdir /usr/local/apache/htdocs-hgdownload/goldenPath/hg19/snp142Mask ln -s /hive/data/genomes/hg19/snp142Mask/substitutions/* \ /usr/local/apache/htdocs-hgdownload/goldenPath/hg19/snp142Mask/ ############################################################################## # UniProt annotations (DONE 11/10/14 max) RM 13688 # # the uniprot parser is part of the publications pipeline, see github.com/maximilianh/pubMunch ~max/projects/pubs/tools/pubParseDb uniprot 9606 ~/kent/src/hg/utils/uniprotMutations/makeUniProtToHg.sh hg19 uniprotLift 9606 hg19 uniProtTohg19.psl hgBbiDbLink hg19 spStruct /gbdb/hg19/bbi/spMut.bb hgBbiDbLink hg19 spStruct /gbdb/hg19/bbi/spStruct.bb hgBbiDbLink hg19 spAnnot /gbdb/hg19/bbi/spAnnot.bb ############################################################################## # ExAC (Exome Aggregation Consortium) Variants & Calling Regions (DONE 3/30/15 angie) set release = 0.3 mkdir -p /hive/data/genomes/hg19/bed/ExAC/$release cd /hive/data/genomes/hg19/bed/ExAC/$release set sitesVcfGz = ExAC.r$release.sites.vep.vcf.gz wget ftp://ftp.broadinstitute.org/pub/ExAC_release/release$release/$sitesVcfGz wget ftp://ftp.broadinstitute.org/pub/ExAC_release/release$release/README.\* wget ftp://ftp.broadinstitute.org/pub/ExAC_release/release$release/exome_calling_regions.v1.interval_list # The VCF includes not only regular chromosomes, but also some alts; translate their # sequence names into hg19's. zcat $sitesVcfGz | head -200 | grep ^##contig \ | perl -wpe 's/^.*ID=([\w.]+),length=(\d+).*/$2\t$1/ || die $_;' | sort > vcfSizeChrom tawk '{print $2, $1;}' ../../../chrom.sizes | sort > hg19SizeChrom join -o 1.2,2.2 vcfSizeChrom hg19SizeChrom > vcfToHg19 # Any missing? join -a 1 -e DOH -o 1.2,2.2 vcfSizeChrom hg19SizeChrom | g DOH #MT DOH #NC_007605 DOH # Unfortunately, they used the rCRS mitochondrion and we didn't so no chrM. # NC_007605 is Epstein-Barr virus. # Swap in as many hg19 seq names as we can: set sitesVcfUcsc = ExAC.r$release.sites.vep.hg19.vcf set sitesVcfGzUcsc = ExAC.r$release.sites.vep.hg19.vcf.gz zcat $sitesVcfGz \ | perl -we 'open($V2H, "vcfToHg19") || die; \ while (<$V2H>) { chomp; ($v, $h) = split; $v2h{$v} = $h; } \ close($V2H); \ while(<>) { \ if (! /^#/) { \ m/^([\w.]+)\t/ || die; \ $chr = $v2h{$1}; \ s/^([\w.]+)/$chr/ if ($chr); \ } \ print; \ }' \ > /data/tmp/$sitesVcfUcsc # Re-compress with bgzip and build tabix index (.tbi) pushd /data/tmp set tabixBin = /hive/data/outside/tabix/tabix-0.2.5/tabix-0.2.5 $tabixBin/bgzip $sitesVcfUcsc $tabixBin/tabix -p vcf $sitesVcfGzUcsc popd cp -p /data/tmp/${sitesVcfGzUcsc}* . \ && rm /data/tmp/${sitesVcfGzUcsc}* mkdir -p /gbdb/hg19/ExAC ln -s `pwd`/*.vcf.gz* /gbdb/hg19/ExAC/ # skip this step: instead of making tiny sql table, use bigDataUrl in trackDb # hgBbiDbLink hg19 exacVariants /gbdb/hg19/ExAC/$sitesVcfGzUcsc # Make a chromosomes line for trackDb: awk '{print $2}' vcfToHg19 | sort | xargs echo | sed -e 's/ /,/g' #chr1,chr10,chr11,chr11_gl000202_random,chr12,chr13,chr14,chr15,chr16,chr17,chr17_gl000203_random,chr17_gl000204_random,chr17_gl000205_random,chr17_gl000206_random,chr18,chr18_gl000207_random,chr19,chr19_gl000208_random,chr19_gl000209_random,chr1_gl000191_random,chr1_gl000192_random,chr2,chr20,chr21,chr21_gl000210_random,chr22,chr3,chr4,chr4_gl000193_random,chr4_gl000194_random,chr5,chr6,chr7,chr7_gl000195_random,chr8,chr8_gl000196_random,chr8_gl000197_random,chr9,chr9_gl000198_random,chr9_gl000199_random,chr9_gl000200_random,chr9_gl000201_random,chrUn_gl000211,chrUn_gl000212,chrUn_gl000213,chrUn_gl000214,chrUn_gl000215,chrUn_gl000216,chrUn_gl000217,chrUn_gl000218,chrUn_gl000219,chrUn_gl000220,chrUn_gl000221,chrUn_gl000222,chrUn_gl000223,chrUn_gl000224,chrUn_gl000225,chrUn_gl000226,chrUn_gl000227,chrUn_gl000228,chrUn_gl000229,chrUn_gl000230,chrUn_gl000231,chrUn_gl000232,chrUn_gl000233,chrUn_gl000234,chrUn_gl000235,chrUn_gl000236,chrUn_gl000237,chrUn_gl000238,chrUn_gl000239,chrUn_gl000240,chrUn_gl000241,chrUn_gl000242,chrUn_gl000243,chrUn_gl000244,chrUn_gl000245,chrUn_gl000246,chrUn_gl000247,chrUn_gl000248,chrUn_gl000249,chrX,chrY # How many SNVs & indels in the file? zcat $sitesVcfGz \ | grep -v ^# \ | perl -we 'while(<>) { \ @w = split; \ if (length($w[3]) != 1) { \ # if reference length is not 1, it is definitely an indel. \ $indels++; \ } else { \ # Check each alt allele \ $foundAlt = 0; \ @alts = split /,/, $w[4]; \ foreach $alt (@alts) { \ if (length($alt) != 1) { \ $foundAlt = 1; \ last; \ } \ } \ if ($foundAlt) { \ $indels++; \ } else { \ $snvs++; \ } \ } \ } \ print "\nsnvs: $snvs\nindels: $indels\n";' #snvs: 8754548 #indels: 607770 # Actually a slight decrease from r0.2. # Now make a bigBed6 track for the exome-calling regions. # Looks like a Picard interval file, so 1-based: # http://gatkforums.broadinstitute.org/discussion/1319/collected-faqs-about-interval-lists cut -f 1 exome_calling_regions.v1.interval_list | uniq # Header, regular chroms, MT which we'll have to strip. perl -wne \ 'next if (/^(@|MT)/); # skip header lines and chrM \ chomp; \ ($c, $start, $end, $strand, $name) = split("\t"); \ $start--; \ print join("\t", "chr$c", $start, $end, $name, 0, $strand) . "\n"; \ ' exome_calling_regions.v1.interval_list \ > exacCallingRegions.bed bedToBigBed exacCallingRegions.bed /hive/data/genomes/hg19/chrom.sizes \ -type=bed6 -tab exacCallingRegions.bb ln -s `pwd`/exacCallingRegions.bb /gbdb/hg19/ExAC/ # make a chromosomes line for trackDb: cut -f 1 exacCallingRegions.bed | uniq | xargs echo | sed -e 's/ /,/g' #chr1,chr2,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chr10,chr11,chr12,chr13,chr14,chr15,chr16,chr17,chr18,chr19,chr20,chr21,chr22,chrX,chrY ############################################################################## ############################################################################## # TransMap V3 tracks. see makeDb/doc/transMapTracks.txt (2014-12-21 markd) ############################################################################## ############################################################################## # GTEX Genotype-Tissue Expression # # Loading Jan 2014 (V4) data. (2015-Mar kate) # # Added scores to BED table. (2016-Mar kate) # Data and sample info (metadata) loaded rom http://www.gtexportal.org to # tables in hgFixed. Methods here: # kent/src/hg/makeDb/doc/gtex/V4.txt # Load BED15ish table with tissue medians for each gene. Coordinates are the # UCSC known genes canonical transcript for the ENSembl gene reported by GTEX. cd /hive/data/genomes/hg19/bed mkdir gtex; cd gtex # Map GENCODE to known genes for cannonical transcript selection hgMapToGene hg19 wgEncodeGencodeCompV19 knownGene knownToGencodeV19 hgsql hg19 -Ne 'select count(*) from knownToGencodeV19' # 75623 # compared to 80184 for hg38 V20 GENCODE # reloaded 9/23/15 to repair tissue ordering problem # reload and add scores (2016-mar kate) #hgGtexGeneBed hg19 -gencodeVersion=V19 gtexGene >&! log.txt # GTEX gene models are based on GENCODE V18. Need a knownToGencodeV18 table to make this work #hgGtexGeneBed hg19 -gencodeVersion=V18 gtexGene >&! log.v18.txt set gencode = V24lift37 # use latest attribute annotation ~/kent/src/hg/makeDb/outside/hgGtexGeneBed/hgGtexGeneBed \ hg19 -noLoad -gtexVersion=V4 -gencodeVersion=$gencode gtexGeneV4 >&! log.V4.txt # Max score: 178212.765625 # 1094 not found wc -l gtexGeneV4.tab # 54899 gtexGeneV4.tab # add scores (see hg38/gtex.txt for background) set bedScore = ~/kent/src/utils/bedScore/bedScore $bedScore -col=10 -minScore=0 -log -method=encode gtexGeneV4.tab gtexGeneV4.bed # table looks OK, load it set lib = ~/kent/src/hg/lib hgLoadBed hg19 -noBin -tab -type=bed6+4 \ -as=$lib/gtexGeneBed.as -sqlTable=$lib/gtexGeneBed.sql -renameSqlTable \ gtexGeneBedNewV4 gtexGeneV4.bed # Load exon data cd /hive/data/outside/GTEx/2014-01-17 cd exonReads alias hgGtex ~kate/kent/src/hg/makeDb/outside/hgGtex/hgGtex hgGtex -exon -noLoad -tab=output gtex V4 \ GTEx_Analysis_V4_RNA-seq_RNA-SeQCv1.1.8_exon_reads.txt \ ../GTEx_Data_2014-01-17_Annotations_SampleAttributesDS.txt \ ../GTEx_Data_2014-01-17_Annotations_SubjectPhenotypes_DS.txt \ ../portal/gtexColorTissue.dec.tab cd output hgLoadSqlTab hgFixed gtexExonTissueMedian ~/kent/src/hg/lib/gtexTissueMedian.sql \ gtexExonTissueMedian.tab alias hgGtexExonBed ~kate/kent/src/hg/makeDb/outside/hgGtexExonBed/hgGtexExonBed hgGtexExonBed hg19 gtex ../gencode/gencode.v18.genes.patched_contigs_exons.txt # rename and split out whole genes (exon _0). NOTE: these include a few on chrM (called chrMT) foreach f (*.tab) set r = $f:r set t = `echo $r | sed 's/gtexTissueExonMedian//'` grep -v '_0' $f | sed 's/chrMT/chrM/' > gtexTissueExonMedian$t.bed grep '_0' $f | sed 's/chrMT/chrM/' > gtexTissueExon0Median$t.bed end # add scores (100-1000) cd scored bedScore -method=reg -uniform -col=7 -minScore=100 gtexTissueExonMedian*.bed scored/ bedScore -method=reg -uniform -col=7 -minScore=100 gtexTissueExon0Median*.bed scored/ # load cat > load.csh << 'EOF' foreach f (gtexTissueExon0Median*.bed) set r = $f:r hgLoadBed hg19 $r $f -sqlTable=/cluster/home/kate/kent/src/hg/lib/bed6FloatVal.sql -renameSqlTable -tab end foreach f (gtexTissueExonMedian*.bed) set r = $f:r hgLoadBed hg19 $r $f -sqlTable=/cluster/home/kate/kent/src/hg/lib/bed6FloatVal.sql -renameSqlTable -tab end 'EOF' csh load.csh >&! load.log & cd .. # redo trackDb hgGtexExonBed hg19 -trackDb -bright gtex ../gencode/gencode.v18.genes.patched_contigs_exons.txt ############################################################################# # GTEx V6 (October 2015) Kate # Create BED from hgFixed tables (see doc/gtex) # Reload with scores (see hg38/gtex.txt) cd /hive/data/outside/gtex/V6 # Load gene models (Gencode V19 transcript union from GTEx) gunzip gencode.v19.genes.patched_contigs.gtf.gz # NOTE FOR NEXT TIME: hg19 now has chrMT, so leave "chrMT" as-is instead of changing to chrM. # optional: liftOver from chrMT (NC_012920) coords to chrM (NC_001807). awk '$1 !~ /^#/ {print "chr"$0}' gencode.v19.genes.patched_contigs.gtf | sed 's/chrMT/chrM/' | \ gtfToGenePred stdin gencodeV19.hg19.genePred -infoOut=gtexGeneModelInfoV6.tab hgLoadGenePred hg19 gtexGeneModelV6 gencodeV19.hg19.genePred # Get transcript for each gene #tail -n +2 gtexGeneModelInfoV6.tab | awk '{printf("%s\t%s\n", $1, $9)}' > gtexGeneTranscriptsV6.tab #hgLoadSqlTab hgFixed gtexTranscriptV6 ~/kent/src/hg/lib/gtexTranscript.sql gtexGeneTranscriptsV6.tab # Load BED table cd /hive/data/genomes/hg19/bed mkdir -p gtex cd gtex set gencode = V24lift37 # use latest attribute annotaion ~/kent/src/hg/makeDb/outside/hgGtexGeneBed/hgGtexGeneBed \ hg19 -noLoad -gtexVersion=V6 -gencodeVersion=$gencode gtexGeneV6 >&! log.txt #Max score: 219385.906250 # 925 genes not found in GencodeAttrs table wc -l gtexGeneV6.tab # 55393 gtexGeneV6.tab # add scores (see hg38/gtex.txt for background) set bedScore = ~/kent/src/utils/bedScore/bedScore $bedScore -col=10 -minScore=0 -log -method=encode gtexGeneV6.tab gtexGeneV6.bed # table looks OK, load it set lib = ~/kent/src/hg/lib hgLoadBed hg19 -noBin -tab -type=bed6+4 \ -as=$lib/gtexGeneBed.as -sqlTable=$lib/gtexGeneBed.sql -renameSqlTable \ gtexGeneBedNewV6 gtexGeneV6.bed #~/kent/src/hg/makeDb/outside/hgGtexGeneBed/hgGtexGeneBed \ #hg19 -gtexVersion=V6 -gencodeVersion=V19 gtexGeneV6 >&! log.txt ############################################################################# # 1000 GENOMES PHASE 3 VARIANT CALLS (DONE 10/23/15 angie - table fixed 3/1/16) # It was kind of a pain to get the Aspera command line client ascp this time around -- # turns out it's included in their web browser plugin package, which I didn't think to # obtain because I need a command-line tool not a web browser plugin. Anyway, # for VCF as opposed to BAM, ftp worked just fine. screen -S phase3 -t phase3 mkdir -p /hive/data/genomes/hg19/bed/1000Genomes/phase3 cd /hive/data/genomes/hg19/bed/1000Genomes/phase3 set relDir = ftp://ftp-trace.ncbi.nlm.nih.gov/1000genomes/ftp/release/20130502 wget $relDir/README\* # Integrated call panel files: wget $relDir/inte\* # File of related individuals who were removed just before release, leaving # behind 31 alt-count=0 variant calls: wget $relDir/2014\* # Now the big compressed VCFs! wget --timestamping $relDir/ALL.chr\*.phase3\*.genotypes.vcf.gz # Recompute tabix index files instead of downloading foreach f (ALL*.vcf.gz) echo $f tabix -p vcf $f end # Install the files mkdir /gbdb/hg19/1000Genomes/phase3 ln -s `pwd`/*.vcf.gz* /gbdb/hg19/1000Genomes/phase3/ cp /dev/null tgpPhase3.txt foreach c (1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 X Y) set file = ALL.chr$c.phase3_shapeit2_mvncall_integrated_v5a.20130502.genotypes.vcf.gz if ($c == "X") then set file = ALL.chr$c.phase3_shapeit2_mvncall_integrated_v1b.20130502.genotypes.vcf.gz endif if ($c == "Y") then set file = ALL.chr$c.phase3_integrated_v1b.20130502.genotypes.vcf.gz endif echo "/gbdb/hg19/1000Genomes/phase3/$file\tchr$c" >> tgpPhase3.txt end # hgBbiDbLink doesn't support the seq column so use hgLoadSqlTab: hgLoadSqlTab hg19 tgpPhase3 ~/kent/src/hg/lib/bbiChroms.sql tgpPhase3.txt # Make a chromosomes line for trackDb: hgsql hg19 -NBe 'select seqName from tgpPhase3' | xargs echo | sed -e 's/ /,/g' #chr1,chr10,chr11,chr12,chr13,chr14,chr15,chr16,chr17,chr18,chr19,chr2,chr20,chr21,chr22,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chrX,chrY ############################################################################ # 1000 GENOMES PHASE 3 PAIRED-END ACCESSIBLE REGIONS (DONE 4/7/15 angie) screen -S acc -t acc mkdir /hive/data/genomes/hg19/bed/1000Genomes/phase3Mapability cd /hive/data/genomes/hg19/bed/1000Genomes/phase3Mapability set relDir = ftp://ftp-trace.ncbi.nlm.nih.gov/1000genomes/ftp/release/20130502/supporting/accessible_genome_masks/ wget $relDir/20141020.pilot_mask.whole_genome.bed wget $relDir/20141020.strict_mask.whole_genome.bed # We don't use the 4th name column which has 'pilot' for every item in the pilot file # and 'strict' for every item in the strict file. foreach t (pilot strict) cut -f 1-3 20141020.${t}_mask.whole_genome.bed > tmp.bed bedToBigBed -type=bed3 tmp.bed \ /hive/data/genomes/hg19/chrom.sizes \ 20141020.${t}_mask.whole_genome.bb end rm tmp.bed ln -s `pwd`/2014*.bb /gbdb/hg19/1000Genomes/phase3/ # Use trackDb's bigDataUrl setting instead of hgBbiDbLink tiny table # Make a chromosomes line for trackDb: bigBedInfo -chroms /gbdb/hg19/1000Genomes/phase3/20141020.strict_mask.whole_genome.bb \ | egrep '^[[:space:]]+chr' | awk '{print $1;}' | xargs echo | sed -e 's/ /,/g' #chr1,chr10,chr11,chr12,chr13,chr14,chr15,chr16,chr17,chr18,chr19,chr2,chr20,chr21,chr22,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chrX,chrY ############################################################################ # LASTZ human/hg19 vs. rat/rn6 - (DONE - 2015-06-08 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzRn6.2015-06-08 cd /hive/data/genomes/hg19/bed/lastzRn6.2015-06-08 cat << '_EOF_' > DEF # human vs rat BLASTZ=/cluster/bin/penn/lastz-distrib-1.03.66/bin/lastz BLASTZ_O=400 BLASTZ_E=30 # TARGET: human hg19 SEQ1_DIR=/hive/data/genomes/hg19/hg19.2bit SEQ1_LEN=/hive/data/genomes/hg19/chrom.sizes SEQ1_CHUNK=40000000 SEQ1_LIMIT=10 SEQ1_LAP=10000 # QUERY: rat rn6 SEQ2_DIR=/hive/data/genomes/rn6/rn6.2bit SEQ2_LEN=/hive/data/genomes/rn6/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LIMIT=10 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzRn6.2015-06-08 TMPDIR=/dev/shm '_EOF_' # << happy emacs time (doBlastzChainNet.pl `pwd`/DEF -verbose=2 \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -syntenicNet) > do.log 2>&1 # real 193m46.956s cat fb.hg19.chainRn6Link.txt # 924289029 bases of 2897316137 (31.902%) in intersection time (doRecipBest.pl -buildDir=`pwd` hg19 rn6) > rbest.log 2>&1 & # real 32m6.635s # and for the swap: mkdir /hive/data/genomes/rn6/bed/blastz.hg19.swap cd /hive/data/genomes/rn6/bed/blastz.hg19.swap time (doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzRn6.2015-06-08/DEF \ -swap -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -syntenicNet) > swap.log 2>&1 # real 77m36.480s cat fb.rn6.chainHg19Link.txt # 949880616 bases of 2729860805 (34.796%) in intersection time (doRecipBest.pl -buildDir=`pwd` rn6 hg19) > rbest.log 2>&1 # real 32m19.569s ######################################################################### # GWIPS-viz Ribo-seq - (DONE - 2014-12-16 - Steve) # contact Audrey Michel (audreymannion@gmail.com) # redmine #14066 obtained bigWig file from shared Google drive https://drive.google.com/a/soe.ucsc.edu/folderview?id=0B_xvV_5tXzOGQ1h5NEh4bnhNTDg&usp=sharing_eid cp Riboseq_track.bw /gbdb/hg19/bbi/gwipsvizRiboseq.bw added entry to /trackDb/human/trackDb.ra: track gwipsvizRiboseq type bigWig shortLabel GWIPS-viz Riboseq longLabel Ribosome Profiling from GWIPS-viz group expression visibility hide maxHeightPixels 100:32:8 viewLimits 0:2000 autoScale off html gwipsvizRiboseq ######################################################################### # altLocations (DONE - 2015-07-10 - Galt) # # I used hapRegions instead of altSeqHaplotype because it has fewer records # and also the corrected chromStart (-1). # I am trying to have a standard name for the table, used in all assemblies with alternate haplotypes (not in patches). # hgTracks and hgc expect the table to have this name. hgsql hg19 create table altLocations as (select bin,chrom,chromStart,chromEnd,name from hapRegions); #I also created this in top-level trackDb.ra: track altLocations type bed 4 group map color 32,32,190 shortLabel Alt Haplotypes longLabel Alternate Haplotypes to Reference Sequence Correspondence url /cgi-bin/hgTracks?position=$$ urlLabel Corresponding position: ############################################################################## # DBSNP B144 / SNP144 (DONE 9/9/15) # Originally done 7/16/15 # Updated 9/3/15 with additional alt mappings from dbSNP, see below # Redmine #15493 mkdir -p /hive/data/outside/dbSNP/144/human_hg19 cd /hive/data/outside/dbSNP/144/human_hg19 # Look at the directory listing of ftp://ftp.ncbi.nih.gov/snp/organisms/ # to find the subdir name to use as orgDir below (human_9606_b144_GRCh37p13 in this case). # Go to that subdirectory, then to database/organism_data/ and look for files # whose names start with b144_* and may or may not end with a suffix that identifies # the build assembly version or some annotation version. If there is a suffix shared # by all b144_* files, add that to config.ra as the "buildAssembly". cat > config.ra <<EOF db hg19 orgDir human_9606_b144_GRCh37p13 build 144 buildAssembly 105 liftUp /hive/data/genomes/hg19/jkStuff/liftContigs.lft refAssemblyLabel GRCh37.p13 EOF ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra >>& do.log & tail -f do.log # It fails saying there are sequences it won't be able to lift because the # liftUp file, jkStuff/liftContigs.lft, doesn't cover all of the contigs in # b144_SNPContigLoc_GRCh37p13. So combine it with the auto-generated suggested.lft # (but don't use the suggested mitochondrial mapping, deal with that separately # because hg19 uses the non-standard...): grep -v NC_012920 suggested.lft \ | sort -u -k4,4 -k1n,1n /hive/data/genomes/hg19/jkStuff/liftContigs.lft - \ > liftUp.lft # Change the liftUp setting in config.ra cat > config.ra <<EOF db hg19 orgDir human_9606_b144_GRCh37p13 build 144 buildAssembly 105 liftUp liftUp.lft refAssemblyLabel GRCh37.p13 EOF # It also gives a list of unliftable contigs -- look at cantLiftUpSeqNames.txt # to find patch contigs, then start over, ignoring those: grep patch cantLiftUpSeqNames.txt | cut -f 2 > patchContigs.txt cat >> config.ra <<EOF ignoreDbSnpContigsFile patchContigs.txt EOF # Continue at loadDbSnp. ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra -continue=loadDbSnp \ >>& do.log & tail -f do.log # While that's running, compare rs IDs in rs_fasta with b144_SNPContigLoc_107 to see # which IDs (if any) were omitted from the rs_fasta dump. zcat rs_fasta/rs*.fas.gz \ | perl -wne 'if (/^>/) { s/^>gnl\|dbSNP\|(rs\d+) .*/$1/ || die; print; }' \ | sort -u > rsFastaIds.txt zcat data/b144_SNPContigLoc_10.bcp.gz \ | awk '{print "rs" $2;}' \ | sort -u > contigLocIds.txt comm -13 rsFastaIds.txt contigLocIds.txt > missingFromRsFasta.txt wc -l missingFromRsFasta.txt #7 missingFromRsFasta.txt cat missingFromRsFasta.txt #rs730882053 #rs730882172 #rs730882173 #rs730882174 #rs730882175 #rs730882176 #rs730882177 # All 7 of those were deleted because of withdrawn ss's, so no need to fetch fasta # for those. # For future reference, here's how to do it if necessary next time: # Fetch fasta for those ids from dbSNP's batch_query. # Go to this URL: # http://www.ncbi.nlm.nih.gov/projects/SNP/dbSNP.cgi?list=rsfile # Enter your email address, select FASTA as output format, and upload missingFromRsFasta.txt # Wait for email with link to results -- don't close that tab! -- then download the results: # wget -O rs_fasta/rs_chBatchQuery.fas.gz $fileFromDbSnpEmail # Check on the progress of the script. If we did get sequence from dbSNP, and if the # script has progressed past the loadDbSnp step and into the addToDbSnp step, then kill # it and continue from addToDbSnp to pick up the added sequence. # This time it was still in the loadDbSnp step, so no need to kill it. # *** All done! # 9/3/2015: Sarah Hunt at EBI alerted dbSNP that there seemed to be a lot # fewer mappings to alt sequences than in 142; dbSNP made new download files # that seem to be an updated b144_SNPContigLoc trimmed to contain only the # rows on alt sequences. cd /hive/data/outside/dbSNP/144/human_hg19/data wget ftp://ftp.ncbi.nih.gov/snp/temp/EBI/b144_alt/b144_SNPContigLoc_alt_only_105.bcp.gz gunzip b144_SNPContigLoc_alt_only_105.bcp.gz gunzip b144_SNPContigLoc_105.bcp.gz # Check sorting so we can merge-sort (quicker): sort -c -k 2n,2n -k3n,3n -k4n,4n -k5n,5n b144_SNPContigLoc_105.bcp # No output, good. sort -c -k 2n,2n -k3n,3n -k4n,4n -k5n,5n b144_SNPContigLoc_alt_only_105.bcp #sort: b144_SNPContigLoc_alt_only_105.bcp:201: disorder: rs 1707 224515579 1098938 1098938 1098937 1098939 2 144 2015-04-14 09:01:00.0 128 0 T 1.0 # Sort the new file, fortunately much smaller than the old file: sort -k 2n,2n -k3n,3n -k4n,4n -k5n,5n b144_SNPContigLoc_alt_only_105.bcp \ > b144_SNPContigLoc_alt_only_105_sorted.bcp # Merge-sort the files, discarding lines with the same values in columns 2-5: sort -m -u -k 2n,2n -k3n,3n -k4n,4n -k5n,5n b144_SNPContigLoc_105.bcp \ b144_SNPContigLoc_alt_only_105_sorted.bcp \ > b144_SNPContigLoc_105_merged.bcp wc -l b144_SNPContigLoc_105.bcp b144_SNPContigLoc_alt_only_105_sorted.bcp \ b144_SNPContigLoc_105_merged.bcp # 153282211 b144_SNPContigLoc_105.bcp # 1831401 b144_SNPContigLoc_alt_only_105_sorted.bcp # 153654053 b144_SNPContigLoc_105_merged.bcp # How many of the 1831401 alt mappings were already in b144_SNPContigLoc_105.bcp? expr 153282211 + 1831401 - 153654053 #1459559 # How many new mappings were added? expr 153654053 - 153282211 #371842 # Make sure they're really unique in columns 2-5: cut -f 2-5 b144_SNPContigLoc_105_merged.bcp | sort -k1n,1n -k2n,2n -k3n,3n -k4n,4n > 1 uniq 1 > 2 cmp 1 2 rm 1 2 # Install the merged file in place of the original b144_SNPContigLoc_105.bcp.gz gzip b144_SNPContigLoc_105_merged.bcp & mv b144_SNPContigLoc_105{,_orig}.bcp gzip b144_SNPContigLoc_105_orig.bcp & ln -s b144_SNPContigLoc_105_merged.bcp.gz b144_SNPContigLoc_105.bcp.gz rm b144_SNPContigLoc_alt_only_105_sorted.bcp # Run the pipeline again when the gzip of b144_SNPContigLoc_105_merged.bcp is complete. cd /hive/data/outside/dbSNP/144/human_hg19 hgsql hg19 -NBe 'select chrom, count(*) from snp144 group by chrom order by chrom' \ > chromCounts.orig mkdir origFiles mv snp144*.{bed,tab}*.gz do.log origFiles/ hgsql '' -e 'drop database hg19snp144' ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra -continue=loadDbSnp >>& do.log & tail -f do.log # While that's reloading the database, see if we need to fetch more fasta: zcat data/b144_SNPContigLoc_105.bcp.gz \ | awk '{print "rs" $2;}' \ | sort -u > contigLocIds.txt comm -13 rsFastaIds.txt contigLocIds.txt > missingFromRsFasta.txt wc -l missingFromRsFasta.txt #34 missingFromRsFasta.txt # It was only 7 before, so let's get sequence from dbSNP again. # http://www.ncbi.nlm.nih.gov/projects/SNP/dbSNP.cgi?list=rsfile # Enter your email address, select FASTA as output format, and upload missingFromRsFasta.txt # Wait for email with link to results -- don't close that tab! # Excerpt from email: #dbSNP BATCH QUERY REPORT: FASTA #============================================================ #Total number of Submitted ID: 34 #============================================================ #Total number of ID processed: 34 #============================================================ #These rs have been merged (submitted_rs -> new_rs) #________________________________________________ # Download the gzipped fasta file and move/rename it to rs_chBatchQuery.fas.gz. faSize rs_chBatchQuery.fas.gz #4134 bases (34 N's 4100 real 4100 upper 0 lower) in 34 sequences in 1 files # Good -- unlike hg38, they all came through -- even the 7 that were deleted before. # There was no pre-existing rs_chBatchQuery.fas.gz so move this one into rs_fasta/. mv rs_chBatchQuery.fas.gz rs_fasta/ tail -f do.log hgsql hg19 -NBe 'select chrom, count(*) from snp144 group by chrom order by chrom' \ > chromCounts.merged sdiff chromCounts.{orig,merged} | less # The _hap* sequences have more mappings now, good. ############################################################################## # SNP144 ORTHOLOGOUS ALLELES IN CHIMP, ORANG, MACAQUE (DONE 9/9/15 angie) # Originally done 7/16/15 # Redmine #15493 screen -S ortho -t ortho ~/kent/src/hg/utils/automation/doDbSnpOrthoAlleles.pl hg19 144 -debug # *** Steps were performed in /hive/data/genomes/hg19/bed/snp144Ortho.2015-09-09 cd /hive/data/genomes/hg19/bed/snp144Ortho.2015-09-09 ~/kent/src/hg/utils/automation/doDbSnpOrthoAlleles.pl hg19 144 \ >>& do.log & tail -f do.log # *** All done! ############################################################################## # SNPMASKED SEQUENCE FOR SNP144 (DONE 9/9/15 angie) # Originally done 7/16/15 # Redmine #15493 screen -S mask -t mask ~/kent/src/hg/utils/automation/doDbSnpMaskSequence.pl hg19 144 -debug # *** Steps were performed in /hive/data/genomes/hg19/snp144Mask.2015-09-09 cd /hive/data/genomes/hg19/snp144Mask.2015-09-09 ~/kent/src/hg/utils/automation/doDbSnpMaskSequence.pl hg19 144 \ >>& do.log & tail -f do.log # *** All done! ############################################################################## # mafSnp view for 100 way # cd /cluster/data/hg19/bed/mafSnp cp /cluster/data/hg19/bed/multiz100way/species.list species.lst echo "select * from ensGene" | hgsql hg19 | tail -n +2 | cut -f 2-16 | genePredSingleCover stdin stdout > ensSingle.gp hgLoadGenePred -genePredExt hg19 ensSingle ensSingle.gp mkdir syn nonsyn sort -nk 2 /cluster/data/hg19/chrom.sizes | awk '{print $1}' | while read chrom do echo /cluster/home/braney/bin/x86_64/mafGene -exons -chrom=$chrom hg19 multiz100way ensSingle species.lst nonsyn/$chrom.nonsyn.faa echo /cluster/home/braney/bin/x86_64/mafGene -uniqAA -exons -chrom=$chrom hg19 multiz100way ensSingle species.lst syn/$chrom.syn.faa done > jobs sh -x jobs cat syn/*.faa | /cluster/home/braney/bin/x86_64/paSNP species.lst stdin stdout | sed 's/:/ /' | sed 's/-/ /' | awk '{print $1, $2-1, $3, $4, 1819, "+", $2-1, $3, "0,255,0", 1, $3 - ($2 - 1), 0}' > syn.bed cat nonsyn/*.faa | /cluster/home/braney/bin/x86_64/paSNP species.lst stdin stdout | sed 's/:/ /' | sed 's/-/ /' | awk '{print $1, $2-1, $3, $4, 1583, "+", $2-1, $3, "255,0,0", 1, $3-($2 - 1), 0}' > nonsyn.bed rm output.bed for i in `cat species.lst` do echo $i grep -wh "$i" nonsyn.bed syn.bed | sort -k 1 -T . | bedSmash stdin chrom.sizes stdout >> output.bed done awk '{print $1,$2,$3,$4,$5}' output.bed > load.bed out=mafSnp100way hgLoadBed hg19 $out load.bed ############################################################################## # LASTZ Zebrafish DanRer10 (DONE - 2010-12-17 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzDanRer10.2015-09-18 cd /hive/data/genomes/hg19/bed/lastzDanRer10.2015-09-18 printf "%s\n" \ '# human vs zebrafish BLASTZ=/cluster/bin/penn/lastz-distrib-1.03.66/bin/lastz BLASTZ_H=2000 BLASTZ_Y=3400 BLASTZ_L=6000 BLASTZ_K=2200 BLASTZ_Q=/scratch/data/blastz/HoxD55.q # TARGET: Human hg19 SEQ1_DIR=/scratch/data/hg19/nib SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=20000000 SEQ1_LAP=10000 SEQ1_LIMIT=80 # QUERY: zebrafish danRer10 SEQ2_DIR=/hive/data/genomes/danRer10/danRer10.2bit SEQ2_LEN=/hive/data/genomes/danRer10/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=100 BASE=/hive/data/genomes/hg19/bed/lastzDanRer10.2015-09-18 TMPDIR=/dev/shm' > DEF # establish a screen to control this job screen time (doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku) > do.log 2>&1 # real 2282m56.714s # chaining hg19 manually (ran out of memory on ku nodes): # real 166m31.444s # -rw-rw-r-- 1 991457195 Sep 24 14:55 chr19.nib:chr19:.chain # continuing: time (doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -continue=chainMerge -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku) \ > chainMerge.log 2>&1 # real 43m9.651s cat fb.hg19.chainDanRer10Link.txt # 83602869 bases of 2897316137 (2.886%) in intersection time (doRecipBest.pl -buildDir=`pwd` hg19 danRer10) > rbest.log 2>&1 & # real 7m40.903s # running the swap mkdir /hive/data/genomes/danRer10/bed/blastz.hg19.swap cd /hive/data/genomes/danRer10/bed/blastz.hg19.swap time (doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzDanRer10.2015-09-18/DEF \ -noLoadChainSplit -chainMinScore=5000 -chainLinearGap=loose \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -swap) > swap.log 2>&1 # real 43m15.435s cat fb.danRer10.chainHg19Link.txt # 83856287 bases of 1369683683 (6.122%) in intersection time (doRecipBest.pl -buildDir=`pwd` danRer10 hg19) > rbest.log 2>&1 # real 8m8.619s _EOF_ ############################################################################## # DBSNP B146 / SNP146 (DONE 3/11/16 angie) # Redmine #16777 mkdir -p /hive/data/outside/dbSNP/146/human_hg19 cd /hive/data/outside/dbSNP/146/human_hg19 # Look at the directory listing of ftp://ftp.ncbi.nih.gov/snp/organisms/ # to find the subdir name to use as orgDir below (human_9606_b146_GRCh37p13 in this case). # Go to that subdirectory, then to database/organism_data/ and look for files # whose names start with b146_* and may or may not end with a suffix that identifies # the build assembly version or some annotation version. If there is a suffix shared # by all b146_* files, add that to config.ra as the "buildAssembly". # Since this build is on GRCh37.p13 like b144 above, use the liftUp.lft file # and ignoreDbSnpContigsFile constructed for b144. cat > config.ra <<EOF db hg19 orgDir human_9606_b146_GRCh37p13 build 146 buildAssembly 105 liftUp ../../144/human_hg19/liftUp.lft refAssemblyLabel GRCh37.p13 ignoreDbSnpContigsFile ../../144/human_hg19/patchContigs.txt EOF ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra >>& do.log & tail -f do.log # While that's running, compare rs IDs in rs_fasta with b146_SNPContigLoc_105 to see # which IDs (if any) were omitted from the rs_fasta dump. zcat rs_fasta/rs*.fas.gz \ | perl -wne 'if (/^>/) { s/^>gnl\|dbSNP\|(rs\d+) .*/$1/ || die; print; }' \ | sort -u > rsFastaIds.txt zcat data/b146_SNPContigLoc_105.bcp.gz \ | awk '{print "rs" $2;}' \ | sort -u > contigLocIds.txt comm -13 rsFastaIds.txt contigLocIds.txt > missingFromRsFasta.txt wc -l missingFromRsFasta.txt #2 missingFromRsFasta.txt cat missingFromRsFasta.txt #rs796052131 #rs796052132 # Both of those get "invalid snp_id value", so no need to fetch fasta for them. # For future reference, here's how to do it if necessary next time: # Fetch fasta for those ids from dbSNP's batch_query. # Go to this URL: # http://www.ncbi.nlm.nih.gov/projects/SNP/dbSNP.cgi?list=rsfile # Enter your email address, select FASTA as output format, and upload missingFromRsFasta.txt # Wait for email with link to results -- don't close that tab! -- then download the results: # wget -O rs_fasta/rs_chBatchQuery.fas.gz $fileFromDbSnpEmail # Check on the progress of the script. If we did get sequence from dbSNP, and if the # script has progressed past the loadDbSnp step and into the addToDbSnp step, then kill # it and continue from addToDbSnp to pick up the added sequence. # This time it was still in the loadDbSnp step, so no need to kill it. # 3/10/16 - I fixed a bug in doDbSnp.pl that caused a few thousand alt-only SNPs # to be lost due to wrongly ignoring the rs_fasta/rs_chAltOnly.fas.gz file, and # re-ran from the first step using rs_fasta data onward. # I edited addToDbSnp.csh to wrap an "if (0) then ... endif" around all steps except the # last step that creates the ucscGnl table from rs_fasta headers. mkdir -p `cat workingDir` csh -efx addToDbSnp.csh >>& do.log & tail -f do.log # When that completed, I continued running from the bigJoin step. ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra -continue bigJoin >>& do.log & tail -f do.log # *** All done! ############################################################################## # SNP146 ORTHOLOGOUS ALLELES IN CHIMP, ORANG, MACAQUE (IN PROGRESS 3/11/16 angie) # Redmine #16777 screen -S ortho -t ortho ~/kent/src/hg/utils/automation/doDbSnpOrthoAlleles.pl hg19 146 -debug # *** Steps were performed in /hive/data/genomes/hg19/bed/snp146Ortho.2016-03-11 cd /hive/data/genomes/hg19/bed/snp146Ortho.2016-03-11 ~/kent/src/hg/utils/automation/doDbSnpOrthoAlleles.pl hg19 146 \ >>& do.log & tail -f do.log # *** All done! ############################################################################## # SNPMASKED SEQUENCE FOR SNP146 (DONE 3/11/16 angie) # Redmine #16777 screen -S mask -t mask ~/kent/src/hg/utils/automation/doDbSnpMaskSequence.pl hg19 146 -debug # *** Steps were performed in /hive/data/genomes/hg19/snp146Mask.2016-03-11 cd /hive/data/genomes/hg19/snp146Mask.2016-03-11 ~/kent/src/hg/utils/automation/doDbSnpMaskSequence.pl hg19 146 \ >>& do.log & tail -f do.log # *** All done! ############################################################################## # Patents (26 Feb 2016, Max) # first prep the meta data cd /hive/data/genomes/hg19/bed/patents/data/ sort sequence_details.csv -S10G -k7,7 -t$'\t' --parallel=20 > sequence_details.csv.s7 sort patent_details -S10G -k1b,1 -t$'\t' --parallel=20 > patent_details.csv.s1 join -1 7 -2 1 sequence_details.csv.s7 patent_details.csv.s1 -t $'\t' -o '1.1 1.2 1.3 1.4 1.5 1.6 1.7 2.2 2.3 2.4 2.5' > seqAndPatentJoined.tab & sort --parallel=40 seqAndPatentJoined.tab -k1,1 -S10G > seqAndPatentJoined.s1.tab # create list of high-throughput patents with >100 sequences # list is cross-organism! time sort -k4,4 -S10G --parallel=20 hg19.bed > hg19.s4.bed & cat seqAndPatentJoined.s1.tab | cut -f1,8 | cut -f2 | tabUniq -rs > patentSeqCounts.tab less patentSeqCounts.tab | tawk '($2>=100)' | cut -f1 > htPatents.txt # now summarize the documents to one line per sequence # takes two hours time patSeqSummarizeDocs seqAndPatentJoined.s1.tab > seqAndPatentSummary.tab # now convert the SAM files cd /hive/data/genomes/hg19/bed/patents/data/ samtools view -S -t ensGenomeHg19/Homo_sapiens.GRCh37.75.dna.toplevel.fa.fai Homo_sapiens.GRCh37.75.s90c50.sam -h | grep -v ^MT > hg19.sam # convert to bed function sam2psl_pierre() { java -Dfile.encoding=UTF8 -Xmx500m -cp "/cluster/bin/jvarkit/htsjdk-1.133/dist/commons-jexl-2.1.1.jar:/cluster/bin/jvarkit/htsjdk-1.133/dist/commons-logging-1.1.1.jar:/cluster/bin/jvarkit/htsjdk-1.133/dist/htsjdk-1.133.jar:/cluster/bin/jvarkit/htsjdk-1.133/dist/snappy-java-1.0.3-rc3.jar:/cluster/bin/jvarkit/dist-1.133/sam2psl.jar" com.github.lindenb.jvarkit.tools.misc.SamToPsl $*; } sam2psl_pierre hg19.sam 2> /dev/null > hg19.psl pslToBed hg19.psl hg19.bed # careful: this text includes tab characters sed -ri 's/_(16|0) / /g' hg19.bed # sort by name # The -S10G parameter is only supported in newer sort versions # if it complains, just remove it. It will just take longer. time sort -k4,4 -S10G --parallel=20 hg19.bed > hg19.s4.bed # convert the hg19 bed to bigBed cd /hive/data/genomes/hg19/bed/patents/hg19 join -t $'\t' -1 4 -2 1 ../data/hg19.s4.bed ../data/seqAndPatentSummary.tab -o '1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 1.10 1.11 1.12 2.2 2.3 2.4 2.5 2.6 2.7 2.8 2.9 2.10 2.11 2.12' | patSeqFilterBulkAndAnnotate ../data/htPatents.txt patBulk.bed patNonBulk.bed -c ../data/seqCounts.tab bedSort patNonBulk.bed patNonBulk.bed bedSort patBulk.bed patBulk.bed bedToBigBed patNonBulk.bed /cluster/data/genomes/hg19/chrom.sizes patNonBulk.bb -tab -as=../patSummary.as -type=bed12+ bedToBigBed patBulk.bed /cluster/data/genomes/hg19/chrom.sizes patBulk.bb -tab -as=../patSummary.as -type=bed12+ hgBbiDbLink hg19 patBulk /gbdb/hg19/bbi/patBulk.bb hgBbiDbLink hg19 patNonBulk /gbdb/hg19/bbi/patNonBulk.bb ######################################################################### # killer whale/orcOrc1 Lastz run (WORKING - 2016-06-03 - Hiram) # note: incorrect date on this directory name, should be 2016-06-03 mkdir /hive/data/genomes/hg19/bed/lastzOrcOrc1.2016-07-03 cd /hive/data/genomes/hg19/bed/lastzOrcOrc1.2016-07-03 printf '# human vs killer whale BLASTZ=/cluster/bin/penn/lastz-distrib-1.03.66/bin/lastz BLASTZ_M=254 # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 # QUERY: killer whale OrcOrc1 SEQ2_DIR=/hive/data/genomes/orcOrc1/orcOrc1.2bit SEQ2_LEN=/hive/data/genomes/orcOrc1/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=20 BASE=/hive/data/genomes/hg19/bed/lastzOrcOrc1.2016-07-03 TMPDIR=/dev/shm ' > DEF time (doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -syntenicNet) > do.log 2>&1 # real 747m9.241s cat fb.hg19.chainOrcOrc1Link.txt # 1507066837 bases of 2897316137 (52.016%) in intersection time (doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` hg19 orcOrc1) \ > rbest.log 2>&1 & # real 517m17.718s # running the swap mkdir /hive/data/genomes/orcOrc1/bed/blastz.hg19.swap cd /hive/data/genomes/orcOrc1/bed/blastz.hg19.swap time (doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzOrcOrc1.2016-07-03/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -syntenicNet) > swap.log 2>&1 # real 121m53.369s cat fb.orcOrc1.chainHg19Link.txt # 1445188424 bases of 2249582125 (64.243%) in intersection time (doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` orcOrc1 hg19) \ > rbest.log 2>&1 & # real 463m9.924s ######################################################################### # DBSNP B147 / SNP147 (DONE 7/29/16 angie) # Initially done 7/1/16. Updated 7/28/16 to fix func code bug (see below). # Redmine #17209 mkdir -p /hive/data/outside/dbSNP/147/human_hg19 cd /hive/data/outside/dbSNP/147/human_hg19 # Look at the directory listing of ftp://ftp.ncbi.nih.gov/snp/organisms/ # to find the subdir name to use as orgDir below (human_9606_b147_GRCh37p13 in this case). # Go to that subdirectory, then to database/organism_data/ and look for files # whose names start with b147_* and may or may not end with a suffix that identifies # the build assembly version or some annotation version. If there is a suffix shared # by all b147_* files, add that to config.ra as the "buildAssembly". # Since this build is on GRCh37.p13 like b144 above, use the liftUp.lft file # and ignoreDbSnpContigsFile constructed for b144. cat > config.ra <<EOF db hg19 orgDir human_9606_b147_GRCh37p13 build 147 buildAssembly 105 liftUp ../../144/human_hg19/liftUp.lft refAssemblyLabel GRCh37.p13 ignoreDbSnpContigsFile ../../144/human_hg19/patchContigs.txt EOF # dbSNP dumped only GRCh37-specific files, not the whole complement of files # that we usually download. So make some links to hg38 download files, # run doDbSnp.pl -debug to make scripts, run a subset of the commands in the # download & loadDbSnp steps instead of running those steps as usual. rmdir rs_fasta ln -s ../human_hg38/rs_fasta . rmdir schema ln -s ../human_hg38/schema . cd data ln -s ../../human_hg38/data/[A-Z]*.bcp.gz . ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra -debug # Adapted from ../download_human_hg19_147.csh: set orgDir = human_9606_b147_GRCh37p13 set ftpOrgData = ftp://ftp.ncbi.nih.gov/snp/organisms/$orgDir/database/organism_data wget --timestamping --no-verbose $ftpOrgData/b147_SNPContigLoc_105.bcp.gz wget --timestamping --no-verbose $ftpOrgData/b147_SNPContigLocusId_105.bcp.gz wget --timestamping --no-verbose $ftpOrgData/b147_ContigInfo_105.bcp.gz wget --timestamping --no-verbose $ftpOrgData/b147_SNPMapInfo_105.bcp.gz cd .. # Adapted from loadDbSnp.csh, but just copying non-GRCh37 tables from hg38snp147: set tmpDir = `mktemp -d $TMPDIR/doDbSnp.pl.translate.XXXXXX` chmod 775 $tmpDir cd $tmpDir echo $tmpDir > /hive/data/outside/dbSNP/147/human_hg19/workingDir hgsql -e 'create database hg19snp147' # Ugh, the schema has _107 for GRCh38 but GRCh37 is 105, so substitute sed -e 's/_107/_105/' /hive/data/outside/dbSNP/147/human_hg19/schema/table.sql \ | hgsql hg19snp147 # Get these empty tables out of the way -- copy from hg38snp147 using create view: foreach table (Allele Batch SNP SNPAlleleFreq SNPAlleleFreq_TGP SNPSubSNPLink \ SNP_bitfield SubSNP) hgsql hg19snp147 -e "drop table if exists $table;" hgsql hg19snp147 -e "create view $table as select * from hg38snp147.$table;" end foreach t (b147_ContigInfo_105 b147_SNPContigLocusId_105 b147_SNPMapInfo_105) zcat /hive/data/outside/dbSNP/147/human_hg19/data/$t.bcp.gz | grep -vwFf '/hive/data/outside/dbSNP/147/human_hg19/../../144/human_hg19/patchContigs.txt'\ | perl -wpe 's/(\d\d:\d\d:\d\d)\.\d+/$1/g; s/\t(\t|\n)/\t\\N$1/g; s/\t(\t|\n)/\t\\N$1/g;' \ > tmp.tab hgLoadSqlTab -oldTable hg19snp147 $t placeholder tmp.tab rm tmp.tab end hgsql hg19snp147 -e \ 'alter table b147_ContigInfo_105 add index (ctg_id); \ alter table b147_SNPContigLocusId_105 add index (ctg_id); \ alter table b147_SNPMapInfo_105 add index (snp_id);' # Make sure there are no orient != 0 contigs among those selected. set badCount = `hgsql hg19snp147 -NBe \ 'select count(*) from b147_ContigInfo_105 where orient != 0;'` if ($badCount > 0) then echo "found $badCount contigs in b147_ContigInfo_105 with orient != 0" endif #found 695 contigs in b147_ContigInfo_105 with orient != 0 # Uh-oh -- looks like some HuRef and other assembly contigs weren't grepped out... hgsql hg19snp147 -NBe 'select count(*) from b147_ContigInfo_105 where orient != 0 and group_label = "HuRef";' #695 # So delete those manually and continue. hgsql hg19snp147 -NBe 'delete from b147_ContigInfo_105 where group_label != "GRCh37.p13";' # OK, now back to stuff from loadDbSnp.csh: # b147_SNPContigLoc_105 is huge, and we want only the reference contig mappings. # Keep lines only if they have a word match to some reference contig ID. # That allows some false positives from coord matches; clean those up afterward. hgsql hg19snp147 -NBe 'select ctg_id from b147_ContigInfo_105' \ | sort -n > b147_ContigInfo_105.ctg_id.txt zcat /hive/data/outside/dbSNP/147/human_hg19/data/b147_SNPContigLoc_105.bcp.gz \ | grep -Fwf b147_ContigInfo_105.ctg_id.txt \ | perl -wpe 's/(\d\d:\d\d:\d\d)\.\d+/$1/g; s/\t(\t|\n)/\t\\N$1/g; s/\t(\t|\n)/\t\\N$1/g;' \ | hgLoadSqlTab -oldTable hg19snp147 b147_SNPContigLoc_105 placeholder stdin # Get rid of those false positives: hgsql hg19snp147 -e 'alter table b147_SNPContigLoc_105 add index (ctg_id);' hgsql hg19snp147 -e 'create table ContigLocFix select cl.* from b147_SNPContigLoc_105 as cl, b147_ContigInfo_105 as ci where cl.ctg_id = ci.ctg_id;' hgsql hg19snp147 -e 'alter table ContigLocFix add index (ctg_id);' hgsql hg19snp147 -e 'drop table b147_SNPContigLoc_105; \ rename table ContigLocFix to b147_SNPContigLoc_105;' hgsql hg19snp147 -e 'alter table b147_SNPContigLoc_105 add index (snp_id);' # Now continue with business as usual at the addToDbSnp step. cd /hive/data/outside/dbSNP/147/human_hg19 ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra --continue addToDbSnp >>& do.log & tail -f do.log # While that's running, compare rs IDs in rs_fasta with b147_SNPContigLoc_105 to see # which IDs (if any) were omitted from the rs_fasta dump. ln -s ../human_hg38/rsFastaIds.txt . # zcat rs_fasta/rs*.fas.gz \ # | perl -wne 'if (/^>/) { s/^>gnl\|dbSNP\|(rs\d+) .*/$1/ || die; print; }' \ # | sort -u > rsFastaIds.txt zcat data/b147_SNPContigLoc_105.bcp.gz \ | awk '{print "rs" $2;}' \ | sort -u > contigLocIds.txt comm -13 rsFastaIds.txt contigLocIds.txt > missingFromRsFasta.txt wc -l missingFromRsFasta.txt #1 missingFromRsFasta.txt cat missingFromRsFasta.txt #rs869025304 # According to http://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=rs869025304 it's # a pathogenic allele... better include it. # Since there's only one, instead of batch query, just get its fasta from the web page. cat > rs_fasta/rs_chBatchQuery.fas <<EOF >gnl|dbSNP|rs869025304 rs=869025304|pos=51|len=101|taxid=9606|mol="genomic"|class=in-del|alleles="TT/CCGTATAGCTGG"|build=147|allele origin=C(maternal)/+.-----(germline)|suspect=?|clinsig=Pathogenic TCCAAGGGAT ATCTTCTAAC CATACCGATG ATTCTCCGTA TAGCTGGTCT N TCCACCTTAT CATCCTTCCT CTGAGAAGTA TGAAAACACT AAGGTAAGGC EOF # uh-oh -- "class=in-del" needed to be edited to "class=2" (see ../shared/SnpClassCode.bcp.gz) # in order to match the download files that we parse. gzip rs_fasta/rs_chBatchQuery.fas # Now start over from addToDbSnp... kill %1 ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra --continue addToDbSnp >>& do.log & tail -f do.log # *** All done! # 7/28/16 -- Chris Lee found some NR_'s and XR_'s in snp147CodingDbSnp where they don't # belong. Turns out that dbSnp was assigning cds-indel to any deletion with length # multiple of 3 that intersected an exon, whether the transcript was coding or not. # Some affected variants will end up with both cds-indel and ncRNA because they hit # both coding and noncoding transcripts. # This does not affect ortho alleles or SNP-masked sequences. # Fix the values in hg19snp147.b147_SNPContigLocusId_105 and rebuild from ucscFunc onwards. # For rows in which dbSNP has assigned cds-indel (45) to a non-coding transcript (NR_ or # XR_), assign ncRNA (30) instead. cd /hive/data/outside/dbSNP/147/human_hg19 hgsql hg19snp147 -e 'update b147_SNPContigLocusId_105 set fxn_class = 30 \ where fxn_class = 45 and mrna_acc like "_R\_%";' # Comment out all of the parts of addToDbSnp.csh except for the part that creates ucscFunc # and run the modified script. mkdir -p `cat workingDir` csh -efx ./addToDbSnp.csh >>& do.log & tail -f do.log # Re-run the pipeline from bigJoin onward. ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra --continue bigJoin >>& do.log & tail -f do.log # *** All done! ############################################################################## # SNP147 ORTHOLOGOUS ALLELES IN CHIMP, ORANG, MACAQUE (DONE 7/2/16 angie) # Redmine #17209 screen -S ortho -t ortho ~/kent/src/hg/utils/automation/doDbSnpOrthoAlleles.pl hg19 147 -debug # *** Steps were performed in /hive/data/genomes/hg19/bed/snp147Ortho.2016-07-01 cd /hive/data/genomes/hg19/bed/snp147Ortho.2016-07-01 ~/kent/src/hg/utils/automation/doDbSnpOrthoAlleles.pl hg19 147 \ >>& do.log & tail -f do.log # *** All done! ############################################################################## # SNPMASKED SEQUENCE FOR SNP147 (DONE 7/1/16 angie) # Redmine #17209 screen -S mask -t mask ~/kent/src/hg/utils/automation/doDbSnpMaskSequence.pl hg19 147 -debug # *** Steps were performed in /hive/data/genomes/hg19/snp147Mask.2016-07-01 cd /hive/data/genomes/hg19/snp147Mask.2016-07-01 ~/kent/src/hg/utils/automation/doDbSnpMaskSequence.pl hg19 147 \ >>& do.log & tail -f do.log # *** All done! ############################################################################## # SNP147 BED4 BIGBED FOR VAI (DONE 10/13/16 angie) # Redmine #18222 -- probably should fold this into dbSNP pipeline... screen -S snp -t snp cd /hive/data/outside/dbSNP/147/human_hg19 # Make bigBed with just the first 4 columns of snp147 zcat snp147.bed.gz \ | cut -f 1-4 \ | sort -k1,1 -k2n,2n \ > $TMPDIR/hg19.snp147.bed4 bigBedToBed $TMPDIR/hg19.snp147.bed4 /hive/data/genomes/hg19/chrom.sizes snp147.bed4.bb # Install in location that hgVai will check: mkdir -p /gbdb/hg19/vai ln -s `pwd`/snp147.bed4.bb /gbdb/hg19/vai/ # Clean up rm $TMPDIR/hg19.snp147.bed4 ############################################################################## # Add GTEx to Gene Sorter (2016-08-18 kate) # See hg/near/makeNear.doc ############################################################################## # Minke whale/balAcu1 Lastz run (DONE - 2016-08-18 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzBalAcu1.2016-08-18 cd /hive/data/genomes/hg19/bed/lastzBalAcu1.2016-08-18 printf '# human vs Minke whale BLASTZ=/cluster/bin/penn/lastz-distrib-1.03.66/bin/lastz BLASTZ_M=254 # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=20000000 SEQ1_LAP=10000 # QUERY: Minke whale BalAcu1 SEQ2_DIR=/hive/data/genomes/balAcu1/balAcu1.2bit SEQ2_LEN=/hive/data/genomes/balAcu1/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=30 BASE=/hive/data/genomes/hg19/bed/lastzBalAcu1.2016-08-18 TMPDIR=/dev/shm ' > DEF time (doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -syntenicNet) > do.log 2>&1 # real 1085m48.306s cat fb.hg19.chainBalAcu1Link.txt # 1538575107 bases of 2897316137 (53.103%) in intersection time (doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` hg19 balAcu1) \ > rbest.log 2>&1 & # real 449m19.809s # running the swap mkdir /hive/data/genomes/balAcu1/bed/blastz.hg19.swap cd /hive/data/genomes/balAcu1/bed/blastz.hg19.swap time (doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzBalAcu1.2016-08-18/DEF \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -syntenicNet) > swap.log 2>&1 # real 121m53.369s cat fb.balAcu1.chainHg19Link.txt # 1488153903 bases of 2286657046 (65.080%) in intersection time (doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` balAcu1 hg19) \ > rbest.log 2>&1 & # real 437m16.453s ######################################################################### # Crispr track. See ../crisprTrack/README.txt (2016-09-15 max) # Command: doCrispr.sh hg19 knownGene ############################################################################## ############################################################################## # DBSNP B149 / SNP149 (DONE 3/23/17 angie) # Redmine #18330 mkdir -p /hive/data/outside/dbSNP/149/human_hg19 cd /hive/data/outside/dbSNP/149/human_hg19 # Look at the directory listing of ftp://ftp.ncbi.nih.gov/snp/organisms/ # to find the subdir name to use as orgDir below (human_9606_b149_GRCh38p7 in this case). # Go to that subdirectory, then to database/organism_data/ and look for files # whose names start with b149_* and may or may not end with a suffix that identifies # the build assembly version or some annotation version. If there is a suffix shared # by all b149_* files, add that to config.ra as the "buildAssembly". cat > config.ra <<EOF # Since this build is on GRCh37.p13 like b144 above, use the liftUp.lft file # and ignoreDbSnpContigsFile constructed for b144. cat > config.ra <<EOF db hg19 orgDir human_9606_b149_GRCh37p13 build 149 buildAssembly 105 liftUp ../../144/human_hg19/liftUp.lft refAssemblyLabel GRCh37.p13 ignoreDbSnpContigsFile ../../144/human_hg19/patchContigs.txt EOF # dbSNP does not make a complete set of download files for hg19 anymore, so # do a "debug" run and link some files from hg38 before running the script. # (hard link so wget doesn't get confused) ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra -debug ln ../human_hg38/data/{S*,B*} data/ # Edit the download script: put if(0) around download files that dbSNP doesn't dump: vi ../download_human_hg19_149.csh # Run the edited script manually: csh -efx ../download_human_hg19_149.csh >& do.log & tail -f do.log # Now continue the usual way at the next step after download: ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra -continue loadDbSnp >>& do.log & tail -f do.log # While that's running, compare rs IDs in rs_fasta with b147_SNPContigLoc_105 to see # which IDs (if any) were omitted from the rs_fasta dump. zcat rs_fasta/rs*.fas.gz \ | perl -wne 'if (/^>/) { s/^>gnl\|dbSNP\|(rs\d+) .*/$1/ || die; print; }' \ | sort -u > rsFastaIds.txt zcat data/b149_SNPContigLoc_105.bcp.gz \ | awk '{print "rs" $2;}' \ | sort -u > contigLocIds.txt wc -l rsFastaIds.txt contigLocIds.txt # 154206854 rsFastaIds.txt # 153907040 contigLocIds.txt comm -13 rsFastaIds.txt contigLocIds.txt > missingFromRsFasta.txt wc -l missingFromRsFasta.txt #0 missingFromRsFasta # Good! If there are some missing in the future see "DBSNP B147" above for instructions. # Yay, script completed: # *** All done! (through the 'bigBed' step) ############################################################################## # SNP149 ORTHOLOGOUS ALLELES IN CHIMP, ORANG, MACAQUE (DONE 3/24/17 angie) # Redmine #18330 screen -S ortho -t ortho ~/kent/src/hg/utils/automation/doDbSnpOrthoAlleles.pl hg19 149 -debug # *** Steps were performed in /hive/data/genomes/hg19/bed/snp149Ortho.2017-03-24 cd /hive/data/genomes/hg19/bed/snp149Ortho.2017-03-24 ~/kent/src/hg/utils/automation/doDbSnpOrthoAlleles.pl hg19 149 \ >>& do.log & tail -f do.log # *** All done! ############################################################################## # SNPMASKED SEQUENCE FOR SNP149 (DONE 3/24/17 angie) # Redmine #18330 screen -S mask -t mask ~/kent/src/hg/utils/automation/doDbSnpMaskSequence.pl hg19 149 -debug # *** Steps were performed in /hive/data/genomes/hg19/snp149Mask.2017-03-24 cd /hive/data/genomes/hg19/snp149Mask.2017-03-24 ~/kent/src/hg/utils/automation/doDbSnpMaskSequence.pl hg19 149 \ >>& do.log & tail -f do.log # *** All done! ######################################################################### # COSMIC v81 DONE Chris Eisenhart 2017-05-11 # Make a new COSCMIC track for hg19 mkdir /hive/data/outside/cosmic/hg19/v81 cd /hive/data/outside/cosmic/hg19/v81 # Get the new data sftp ceisenha@ucsc.edu@sftp-cancer.sanger.ac.uk # Login to SFTP server then run these commands get /files/grch37/cosmic/v81/CosmicMutantExport.tsv.gz # Get the schema from V80 cp ~/kent/src/hg/lib/cosmicNew.as . # Remove the 'NS' fields, search for the \t after to exclude the E'NS'ST transcripts. zcat CosmicMutantExport.tsv.gz | sed 's/NS\t/\t/g' > cosMut.tsv # Use a script to convert to bed format. cosmicToBed cosMut.tsv cosMut.bed # This many lines were skipped, 126756, for not having genomic coordinates. # Sort and convert to big bed using the .as file. sort -k1,1 -k2,2n cosMut.bed > sCosMut.bed bedToBigBed -type=bed4+31 -as=cosmicNew.as sCosMut.bed /hive/data/genomes/hg19/chrom.sizes cosMutHg19V80.bb -tab # Link it up so the outside world can see it. cd /gbdb/hg19/cosmic/ ln -s /hive/data/outside/cosmic/hg19/v81/cosMutHg19V81.bb . ########################################################################### # Chimp Lastz run (DONE - 2017-05-04 - Hiram) screen -S hg19PanTro5 # use a screen to manage this longish running job mkdir /hive/data/genomes/hg19/bed/lastzPanTro5.2017-05-04 cd /hive/data/genomes/hg19/bed/lastzPanTro5.2017-05-04 # always set the BLASTZ program so we know what version was used printf "# human vs chimp BLASTZ=/cluster/bin/penn/lastz-distrib-1.03.66/bin/lastz # maximum M allowed with lastz is only 254 BLASTZ_M=254 BLASTZ_O=600 BLASTZ_E=150 BLASTZ_K=4500 BLASTZ_Y=15000 BLASTZ_L=4500 BLASTZ_T=2 BLASTZ_Q=/scratch/data/blastz/human_chimp.v2.q # A C G T # 90 -330 -236 -356 # -330 100 -318 -236 # -236 -318 100 -330 # -356 -236 -330 90 # TARGET: Human Hg19 SEQ1_DIR=/scratch/data/hg19/hg19.2bit SEQ1_LEN=/scratch/data/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 SEQ1_IN_CONTIGS=0 # QUERY: Chimp PanTro5 SEQ2_DIR=/hive/data/genomes/panTro5/panTro5.2bit SEQ2_LEN=/hive/data/genomes/panTro5/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=100 SEQ2_IN_CONTIGS=0 BASE=/hive/data/genomes/hg19/bed/lastzPanTro5.2017-05-04 TMPDIR=/dev/shm " > DEF time (doBlastzChainNet.pl `pwd`/DEF -verbose=2 \ -chainMinScore=5000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -syntenicNet) > do.log 2>&1 # real 219m12.394s cat fb.hg19.chainPanTro5Link.txt # 2824333913 bases of 2897316137 (97.481%) in intersection # filter with doRecipBest.pl time (doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ hg19 panTro5) > rbest.log 2>&1 # real 192m19.595s # running the swap mkdir /hive/data/genomes/panTro5/bed/blastz.hg19.swap cd /hive/data/genomes/panTro5/bed/blastz.hg19.swap time (doBlastzChainNet.pl -verbose=2 \ -swap /hive/data/genomes/hg19/bed/lastzPanTro5.2017-05-04/DEF \ -chainMinScore=5000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -syntenicNet) > swap.log 2>&1 # real 111m15.418s cat fb.panTro5.chainHg19Link.txt # 2929713252 bases of 3132620660 (93.523%) in intersection time (doRecipBest.pl -workhorse=hgwdev -buildDir=`pwd` \ panTro5 hg19) > rbest.log 2>&1 # real 279m26.262s ############################################################################# # Interactions track, cd /hive/data/genomes/hg19/bed/interactions/ # convert the protein interaction databases cd ppi cd iref # sorry don't know how exactly I downloaded this file. # they are available on http://irefindex.org/wiki/index.php?title=README_MITAB2.6_for_iRefIndex psiMtabToTab iref 9606.mitab.08122013.txt > ../iref.tab cat All.mitab.08122013.txt | cut -f9 | sed -e 's/pubmed://g' | tr '|' '\n' | grep -v pmids | grep -v ^-$ | uniq | sort | uniq > allPmids.txt cd ../argdb python parse_shortened.py | tawk '{print "argdb"NR, "gene", "", "AR", "gene", "", $1, "regulation", "", "argdb", $3, "interaction", $2}' | cat headers.tab - > ../argdb.tab cd .. ggPpiToTab quickgo go/associations.tsv > go.tab ggPpiToTab corum corum/allComplexes.csv > corum.tab ggPpiToTab negatome negatome/manual.txt > negatome.tab # convert the pathway databases cd pathways ggPpiToTab reactome reactome/homo_sapiens.interactions.txt > reactome.tab ggGpmlToTag wikiPathways/gpml/*.gpml > wiki.tab ggKgmlToTab kegg/*.xml > kegg.tab ggPidToTab pid/NCI-Nature_Curated.xml pid/BioCarta.xml > pid.tab cd .. # the text/ directory file msr.tab was created by adding 'msr' in front of every line # of text/msr3/pubmed_evts_140805.txt # build the big ggLink table from information in the subdirectories # and write the output to mysql/ ggTables build pathways/ ppi/ text/ mysql/ # add the document/abstract information ggTables docs mysql/ # load mysql/ into hgFixed ggTables load hgFixed # == CREATE THE GENE LOCATIONS == cd geneModels # === hg19 === # get best transcript for gencode basic mysql hg19 -NBe 'select chrom, txStart, txEnd, name from wgEncodeGencodeBasicV19' > gencode19.bed mysql hg19 -NBe 'select distinct name, name2 from wgEncodeGencodeBasicV19' > gencode19.names.tab bedBestTranscript gencode19.bed gencode19.names.tab -m > gencode19.best.bed # get best transcript for refGene mysql hg19 -NBe 'select chrom, txStart, txEnd, name from refGene' > refGene.bed mysql hg19 -NBe 'select distinct name, name2 from refGene' > refGene.names.tab bedBestTranscript refGene.bed refGene.names.tab -m > refGene.best.bed # get UCSC knownGene canonical transcripts hgsql hg19 -NBe 'select chrom, chromStart, chromEnd, geneSymbol from knownCanonical JOIN kgXref ON kgId=transcript' > knownCanon.best.bed # add all gencode comprehensive models, but only as a last resort mysql hg19 -NBe 'select chrom, txStart, txEnd, name from wgEncodeGencodeCompV19' > gencodeComp19.bed mysql hg19 -NBe 'select distinct name, name2 from wgEncodeGencodeCompV19' > gencodeComp19.names.tab bedBestTranscript -m gencodeComp19.bed gencodeComp19.names.tab > gencodeComp19.best.bed # finally, even add the pseudogenes mysql hg19 -NBe 'select chrom, txStart, txEnd, name from wgEncodeGencodePseudoGeneV19' > gencodePseudo19.bed mysql hg19 -NBe 'select distinct name, name2 from wgEncodeGencodePseudoGeneV19' > gencodePseudo19.names.tab bedBestTranscript -m gencodePseudo19.bed gencodePseudo19.names.tab > gencodePseudo19.best.bed # now take the first line for each gene from all files, in this order bedNamePickFirst gencode19.best.bed refGene.best.bed gencodeComp19.best.bed knownCanon.best.bed gencodePseudo19.bed | cut -f-4 | bedSort stdin stdout > bestGenes.hg19.bed # == END GENE LOCATIONS == # create the bigBed files ggTables bigBed mysql/ bigBed/ geneModels/bestGenes.hg19.bed hg19 ln -s `pwd`/bigBed/geneInteractions.hg19.bb /gbdb/h19/bbi/interactions.bb ############################################################################# ############################################################################## # DBSNP B150 / SNP150 (DONE 5/6/17 angie) # Redmine #19202 mkdir -p /hive/data/outside/dbSNP/150/human_hg19 cd /hive/data/outside/dbSNP/150/human_hg19 # Look at the directory listing of ftp://ftp.ncbi.nih.gov/snp/organisms/ # to find the subdir name to use as orgDir below (human_9606_b150_GRCh38p7 in this case). # Go to that subdirectory, then to database/organism_data/ and look for files # whose names start with b150_* and may or may not end with a suffix that identifies # the build assembly version or some annotation version. If there is a suffix shared # by all b150_* files, add that to config.ra as the "buildAssembly". # Since this build is on GRCh37.p13 like b144 above, use the liftUp.lft file # and ignoreDbSnpContigsFile constructed for b144. cat > config.ra <<EOF db hg19 orgDir human_9606_b150_GRCh37p13 build 150 buildAssembly 105 liftUp ../../144/human_hg19/liftUp.lft refAssemblyLabel GRCh37.p13 ignoreDbSnpContigsFile ../../144/human_hg19/patchContigs.txt EOF # dbSNP does not make a complete set of download files for hg19 anymore, so # do a "debug" run and link some files from hg38 before running the script. # (hard link so wget doesn't get confused) ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra -debug ln ../human_hg38/data/{S*,B*} data/ # Edit the download script: put if(0) around download files that dbSNP doesn't dump. # They changed database/organism_data to database/data/organism_data so edit that too. vi ../download_human_hg19_150.csh # Run the edited script manually: csh -efx ../download_human_hg19_150.csh >& do.log & tail -f do.log # Now continue the usual way at the next step after download: ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra -continue loadDbSnp >>& do.log & tail -f do.log # While that's running, compare rs IDs in rs_fasta with b147_SNPContigLoc_105 to see # which IDs (if any) were omitted from the rs_fasta dump. zcat rs_fasta/rs*.fas.gz \ | perl -wne 'if (/^>/) { s/^>gnl\|dbSNP\|(rs\d+) .*/$1/ || die; print; }' \ | sort -u > rsFastaIds.txt zcat data/b150_SNPContigLoc_105.bcp.gz \ | awk '{print "rs" $2;}' \ | sort -u > contigLocIds.txt wc -l rsFastaIds.txt contigLocIds.txt # 325658303 rsFastaIds.txt # 231449737 contigLocIds.txt comm -13 rsFastaIds.txt contigLocIds.txt > missingFromRsFasta.txt wc -l missingFromRsFasta.txt #0 missingFromRsFasta # Good! If there are some missing in the future see "DBSNP B147" above for instructions. # Yay, script completed: # *** All done! (through the 'bigBed' step) ############################################################################## # SNP150 ORTHOLOGOUS ALLELES IN CHIMP, ORANG, MACAQUE (DONE 5/8/17, REDONE 7/7/17 angie) # Redmine #19202 # Redone 7/6/18 to use latest chimp & macaque assemblies screen -S ortho -t ortho ~/kent/src/hg/utils/automation/doDbSnpOrthoAlleles.pl hg19 150 -debug # *** Steps were performed in /hive/data/genomes/hg19/bed/snp150Ortho.2017-07-06 cd /hive/data/genomes/hg19/bed/snp150Ortho.2017-07-06 ~/kent/src/hg/utils/automation/doDbSnpOrthoAlleles.pl hg19 150 \ >>& do.log & tail -f do.log # Oops, liftOver cluster run crashed because there was no hg19ToRheMac8 liftover file yet - # added below. ssh ku cd /hive/data/genomes/hg19/bed/snp150Ortho.2017-07-06/run.liftOver para push -retries=5 # wait for completion para time >>& ../do.log logout # Continue at next step cd /hive/data/genomes/hg19/bed/snp150Ortho.2017-07-06 ~/kent/src/hg/utils/automation/doDbSnpOrthoAlleles.pl hg19 150 \ -buildDir `pwd` -continue join \ >>& do.log & tail -f do.log # *** All done! ############################################################################## # SNPMASKED SEQUENCE FOR SNP150 (DONE 5/8/17 angie) # Redmine #19202 screen -S mask -t mask ~/kent/src/hg/utils/automation/doDbSnpMaskSequence.pl hg19 150 -debug # *** Steps were performed in /hive/data/genomes/hg19/snp150Mask.2017-05-08 cd /hive/data/genomes/hg19/snp150Mask.2017-05-08 ~/kent/src/hg/utils/automation/doDbSnpMaskSequence.pl hg19 150 \ >>& do.log & tail -f do.log # *** All done! ############################################################################## # LASTZ human/hg19 Tree chimp/rheMac8 - (DONE - 2017-07-08 - Angie) mkdir /hive/data/genomes/hg19/bed/lastzRheMac8.2017-07-06 cd /hive/data/genomes/hg19/bed/lastzRheMac8.2017-07-06 printf '# human vs macaca mulatta BLASTZ=/cluster/bin/penn/lastz-distrib-1.03.66/bin/lastz # maximum M allowed with lastz is only 254 BLASTZ_M=254 BLASTZ_Q=/scratch/data/blastz/human_chimp.v2.q BLASTZ_O=600 BLASTZ_E=150 # other parameters from panTro2 vs hg18 lastz on advice from Webb BLASTZ_K=4500 BLASTZ_Y=15000 BLASTZ_T=2 # TARGET: Human hg19 SEQ1_DIR=/hive/data/genomes/hg19/hg19.2bit SEQ1_LEN=/hive/data/genomes/hg19/chrom.sizes SEQ1_CHUNK=20000000 SEQ1_LAP=10000 # QUERY: Macaca mulatta rheMac8 SEQ2_DIR=/hive/data/genomes/rheMac8/rheMac8.2bit SEQ2_LEN=/hive/data/genomes/rheMac8/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LIMIT=600 SEQ2_LAP=0 SEQ2_IN_CONTIGS=0 BASE=/hive/data/genomes/hg19/bed/lastzRheMac8.2017-07-06 TMPDIR=/dev/shm ' > DEF time (doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -syntenicNet -fileServer=hgwdev \ -chainMinScore=5000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku) > do.log 2>&1 # real 243m19.420s cat fb.hg19.chainRheMac8Link.txt # 2508296679 bases of 2897316137 (86.573%) in intersection time (doRecipBest.pl -buildDir=`pwd` hg19 rheMac8) > rbest.log 2>&1 & # real 534m6.491s # and for the swap: mkdir /hive/data/genomes/rheMac8/bed/blastz.hg19.swap cd /hive/data/genomes/rheMac8/bed/blastz.hg19.swap time (doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzRheMac8.2017-07-06/DEF \ -swap -chainMinScore=5000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -syntenicNet) > swap.log 2>&1 # real 268m2.274s cat fb.rheMac8.chainHg19Link.txt # 2495454040 bases of 3142093174 (79.420%) in intersection time (doRecipBest.pl -buildDir=`pwd` rheMac8 hg19) > rbest.log 2>&1 # real 1088m7.851s ############################################################################## # Snpedia (DONE - 2016-07-03 - Max) - pushed in July 2017 cd /hive/data/genomes/hg19/bed/snpedia wget http://www.snpedia.com/files/gbrowse/SNPedia.gff python download.py python filterPages.py > goodPages.txt python makeBed.py hgLoadBed hg19 snpedia snpedia.bed hgLoadSqlTab hg19 snpediaHtml snpediaHtml.sql snpedia.htmlTab ############################################################################## # Gtex transcript track hg38->hg19 coordinate conversion (DONE - 2017-07-27 - Chris) mkdir /hive/data/outside/gtex/barChartTrack/hg19backLift cd /hive/data/outside/gtex/barChartTrack/hg19backLift hgsql hg19 -e "select * from wgEncodeGencodeCompV24lift37" | awk '{print $2"\t"$5"\t"$6}' > foo cut -f 1 foo | cut -f 1 -d "." > foo2 cut -f 2,3,4 foo > foo3 paste foo2 foo3 > foo4 # NOTE: CHRISL10-05-2021 - Re-run to fix float parse bug: cp ../sortedGtexTransExp.bed sortedGtexTransExpFixed.bed cut -f 1,2,3 sortedGtexTransExpFixed.bed > foo5Fixed cut -f 4 sortedGtexTransExpFixed.bed > foo6Fixed cut -f 5- sortedGtexTransExpFixed.bed > foo7Fixed paste foo6Fixed foo5Fixed > foo8Fixed paste foo8Fixed foo7Fixed > foo9Fixed join <(sort foo4) <(sort foo9Fixed) > foo10Fixed cat foo10Fixed | awk '{print $4"\t"$2"\t"$3"\t"$1"\t"$8"\t"$9"\t"$10"\t"$11"\t"$12"\t"$13"\t"$14}' > foo11Fixed # Sort and convert into a bigBed file. sort -k1,1 -k2,2n foo11Fixed > sortedGtexTransExpHg19Fixed.bed # remove final line with header info: vim sortedGtexTransExpHg19Fixed.bed bedToBigBed -as=$HOME/kent/src/hg/lib/barChartBed.as -type=bed6+5 sortedGtexTransExpHg19Fixed.bed /hive/data/genomes/hg19/chrom.sizes gtexTranscExprHg19.bb # END NOTE: CHRISL10-05-2021 # Link the files into gbdb # <2007-0-30 kate) cd /gbdb/hg19/gtex ln -s /hive/data/outside/gtex/barChartTrack/hg19backLift/gtexTranscExprHg19.bb gtexTranscExpr.bb ############################################################################## # cosmicRegions (DONE - 2017-08-03 - Chris) # Make a new COSCMIC track for hg19 v82 mkdir /hive/data/outside/cosmic/hg19/v82 cd /hive/data/outside/cosmic/hg19/v82 # Get the new data sftp ceisenha@ucsc.edu@sftp-cancer.sanger.ac.uk # Login to SFTP server (make an account online) then run this command get /files/grch37/cosmic/v82/CosmicMutantExport.tsv.gz # Get the schema from V81 cp ../v81/cosmicNew.as . # Remove the 'NS' fields, search for the \t after to exclude the E'NS'ST transcripts. zcat CosmicMutantExport.tsv.gz | sed 's/NS\t/\t/g' > cosMut.tsv # Use a script to convert to bed format. cosmicToBed cosMut.tsv cosMut.bed # This many lines were skipped, 128966 for not having genomic coordinate # Sort and convert to big bed using the .as file. sort -k1,1 -k2,2n cosMut.bed > sCosMut.bed bedToBigBed -type=bed8+31 -as=cosmicNew.as sCosMut.bed /hive/data/genomes/hg19/chrom.sizes cosMutHg19V82.bb -tab -extraIndex=name,cosmLabel # Link it up so the outside world can see it. cd /gbdb/hg19/cosmic/ ln -s /hive/data/outside/cosmic/hg19/v82/cosMutHg19V82.bb . ############################################################################## # snpedia (DONE - 2017-09-06 - Max) # see ../hg38/snpedia.txt ######################################################################### # LASTZ human/hg19 Gorilla/gorGor5 - (DONE - 2017-11-08 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzGorGor5.2017-11-08 cd /hive/data/genomes/hg19/bed/lastzGorGor5.2017-11-08 printf '# human vs gorilla BLASTZ=/cluster/bin/penn/lastz-distrib-1.03.66/bin/lastz BLASTZ_T=2 BLASTZ_O=600 BLASTZ_E=150 BLASTZ_M=254 BLASTZ_K=4500 BLASTZ_Y=15000 BLASTZ_Q=/scratch/data/blastz/human_chimp.v2.q # A C G T # A 90 -330 -236 -356 # C -330 100 -318 -236 # G -236 -318 100 -330 # T -356 -236 -330 90 # TARGET: Human hg19 SEQ1_DIR=/hive/data/genomes/hg19/hg19.2bit SEQ1_LEN=/hive/data/genomes/hg19/chrom.sizes SEQ1_CHUNK=20000000 SEQ1_LAP=10000 # QUERY: gorilla gorGor5 SEQ2_DIR=/hive/data/genomes/gorGor5/gorGor5.2bit SEQ2_LEN=/hive/data/genomes/gorGor5/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=50 BASE=/hive/data/genomes/hg19/bed/lastzGorGor5.2017-11-08 TMPDIR=/dev/shm ' > DEF time (doBlastzChainNet.pl `pwd`/DEF -verbose=2 \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -syntenicNet) > do.log 2>&1 # real 151m54.643s cat fb.hg19.chainGorGor5Link.txt # 2805809292 bases of 2897316137 (96.842%) in intersection time (doRecipBest.pl -load -workhorse=hgwdev -buildDir=`pwd` hg19 gorGor5) \ > rbest.log 2>&1 & # real 101m0.033s cat fb.hg19.chainRBestGorGor5Link.txt # 2704000429 bases of 2897316137 (93.328%) in intersection # this syntenic procedure is work in progress to get it into the # the primary doBlastzChainNet.pl script - Mon Nov 13 18:42:27 PST 2017 # create and load up syntenic chainNet: cd /hive/data/genomes/hg19/bed/lastzGorGor5.2017-11-08/axtChain netToAxt hg19.gorGor5.syn.net.gz hg19.gorGor5.all.chain.gz \ /scratch/data/hg19/hg19.2bit /hive/data/genomes/gorGor5/gorGor5.2bit stdout \ | axtSort stdin stdout \ | axtToChain stdin /hive/data/genomes/hg19/chrom.sizes \ /hive/data/genomes/gorGor5/chrom.sizes stdout \ | gzip -c > hg19.gorGor5.syn.chain.gz hgLoadChain -tIndex hg19 chainSynGorGor5 hg19.gorGor5.syn.chain.gz netFilter -minGap=10 hg19.gorGor5.syn.net.gz \ | hgLoadNet -verbose=0 hg19 netSynGorGor5 stdin cd /hive/data/genomes/hg19/bed/lastzGorGor5.2017-11-08 featureBits hg19 chainSynGorGor5Link > fb.hg19.chainSynGorGor5Link.txt 2>&1 cat fb.hg19.chainSynGorGor5Link.txt # 2868720234 bases of 3049335806 (94.077%) in intersection # and for the swap: mkdir /hive/data/genomes/gorGor5/bed/blastz.hg19.swap cd /hive/data/genomes/gorGor5/bed/blastz.hg19.swap time (doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzGorGor5.2017-11-08/DEF \ -swap -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -syntenicNet) > swap.log 2>&1 # real 96m1.816s cat fb.gorGor5.chainHg19Link.txt # 2762099017 bases of 3080431298 (89.666%) in intersection time (doRecipBest.pl -load -workhorse=hgwdev -buildDir=`pwd` gorGor5 hg19) \ > rbest.log 2>&1 # real 106m51.054s cat fb.gorGor5.chainRBestHg19Link.txt # 2708063590 bases of 3080431298 (87.912%) in intersection ############################################################################## # GTEx cis eQTL tracks from GTEx release V6p (DONE 10/25/17 kate) # Redmines #15646, #20236 # This data published in Oct 12 Nature special issue: # Genetic effects on gene expression across human tissues, doi:10.1038/nature24277 # Data sources: # * GTEx V6p LDACC files, posted to GTEx portal portal downloads: # 1. eQTL identifications, with effect sizes, pvalue, by LDACC, downloaded from G # 2. GTEx variant ID's, mapped to dbSNP # * GTEx V6p cis-eQTL '95% credible set' by Caviar analysis (package 2) # Provided via dropbox, 2/27/17 by Farhad Hormozdiari, at Eleazar Eskin lab, UCLA # # The track is based on the CAVIAR analysis 95% credible set, with effect sizes from the LDACC analysis. # Advising on data sources and track display from Casey Brown, U Penn, and JK ######## # Download LDACC cis-eQTL calls from GTEx portal cd /hive/data/outside/GTEx/V6p mkdir eQtl; cd eQtl mkdir cis; cd cis wget http://gtexportal.org/static/datasets/gtex_analysis_v6p/single_tissue_eqtl_data/README_eQTL_v6p.txt wget http://gtexportal.org/static/datasets/gtex_analysis_v6p/single_tissue_eqtl_data/GTEx_Analysis_v6p_eQTL.tar tar xvf /GTEx_Analysis_v6p_eQTL.tar cd GTEx_Analysis_v6p_eQTL gunzip *.gz # using these files (effect size and p-value for snp/gene pairs): # <tissue>_Analysis.v6p.signif_snpgene_pairs.txt.gz #variant_id gene_id tss_distance pval_nominal slope slope_se slope_fpkm slope_fpkm_se pval_nominal_threshold min_pval_nominal pval_beta #1_739528_G_A_b37 ENSG00000239906.1 599189 0.000201091 -0.583341 0.154452 -0.473059 0.114987 0.000234483 4.42635e-06 0.00461693 ######## # Download GTEx SNPs reference -- map imputed SNP's to dbSNP rsID's cd /hive/data/outside/GTEx/V6p/eQtl wget http://www.gtexportal.org/static/datasets/gtex_analysis_v6/reference/GTEx_Analysis_2015-01-12_OMNI_2.5M_5M_450Indiv_chr1-22+X_genot_imput_info04_maf01_HWEp1E6_variant_id_lookup.txt.gz gunzip *.gz wc -l *variant*txt 11959406 GTEx_Analysis_2015-01-12_OMNI_2.5M_5M_450Indiv_chr1-22+X_genot_imput_info04_maf01_HWEp1E6_variant_id_lookup.txt # ~12M variants ######## # Set up build area to process CAVIAR dataset mkdir /hive/data/outside/GTEx/V6p/eQtl/Caviar2 cd /hive/data/outside/GTEx/V6p/eQtl/Caviar2 tar xvfz CAVIAR_output_checked.tar.gz find CAVIAR_output -print | head #... #CAVIAR_output/Pancreas_Analysis/out/file_ENSG00000141258.8_Pancreas_Analysis_post #CAVIAR_output/Pancreas_Analysis/out/file_ENSG00000136982.5_Pancreas_Analysis_set #CAVIAR_output/Pancreas_Analysis/out/file_ENSG00000197345.8_Pancreas_Analysis_set #CAVIAR_output/Pancreas_Analysis/out/file_ENSG00000172543.3_Pancreas_Analysis_hist # A directory for each tissue, with files per gene, named out/file_<geneId>_<tis>_Analysis_<type> # with types: # set: Variants causal with probability of 95% (95% credible set) # post: Probability that a variant is causal # hist: Probability that gene has 0, 1, 2... 6 variants head CAVIAR_output/Pancreas_Analysis/out/file_ENSG00000108947.4_Pancreas_Analysis_set #17_7581271_C_T_b37 #17_7596802_C_T_b37 # Format: chrom_start_nucs_build head CAVIAR_output/Pancreas_Analysis/out/file_ENSG00000108947.4_Pancreas_Analysis_post #17_7439510_A_AT_b37 0.0039097 #17_7571452_G_A_b37 0.00049001 cat CAVIAR_output/Pancreas_Analysis/out/file_ENSG00000108947.4_Pancreas_Analysis_hist #2.81096e-13 0.227802 0.69627 0.0737158 0.00217832 3.3476e-05 3.35718e-07 #NOTE: no files for 9 tissues: #* Bladder, Brain-Amygdala, Brain-Spinal cord, Brain-Substantia nigra, Cervix - Ectocervix, Cervix - Endocervix, Fallopian Tube, Kidney, Minor Salivary Gland. # This leaves 44 tissues, the 'eQTL tissues' listed on the GTEx portal. Above were rejected as lacking sufficient samples with genotype (<70). ######## # Pull GTEx tissue and gene info to files for input to track builder hgsql hgFixed -e 'select * from gtexTissue' > gtexTissue.tab hgsql hg19 -Ne 'select name, geneId from gtexGene' > gtexGeneName.tab ######## # Create link to variant mapping file ln -s ../GTEx_Analysis_2015-01-12_OMNI_2.5M_5M_450Indiv_chr1-22+X_genot_imput_info04_maf01_HWEp1E6_variant_id_lookup.txt gtexVariant.tab ######## # Run parser and create BED files to load mkdir UCSC_output set bin = ~/kent/src/hg/makeDb/outside/gtexEqtl perl $bin/gtexEqtlMakeBeds.pl >& makeEqtlBeds.log & ######## # Load 'cluster' summary track cd UCSC_output bedSort gtexEqtlGeneCluster.bed gtexEqtlGeneCluster.sorted.bed set dir = /cluster/home/kate/kent/src/hg/lib hgLoadBed hg19 -noSort -tab -renameSqlTable -allowStartEqualEnd \ -type=bed5+11 -as=$dir/gtexEqtlCluster.as -sqlTable=$dir/gtexEqtlCluster.sql \ gtexEqtlCluster gtexEqtlGeneCluster.sorted.bed #Read 1622952 elements of size 16 from gtexEqtlGeneCluster.sorted.bed # # this caused a load problem. One instance in the entire file where tissues not combined, ugh chr21 45650008 45650009 rs56323213 5 ENSG00000160223.12 ICOSLG -10840 -0.484 - 0 1 skinExposed, -0.484, 7.064, 0.005, chr21 45650008 45650008 rs145424134 8 ENSG00000160223.12 ICOSLG -10841 -0.070 - 0 1 esophagusMuscular, -0.070, 5.106, 0.008, # refine generated trackDb.gtexEqtl.ra file and install in makeDb/trackDb/human/hg19 ######## # Load 44 per-tissue tracks: gtexEqtlTissue<tissueName> csh $bin/getxEqtlLoadTissues.csh UCSC_output >&! loadTissuesV2.log & #NOTE: V2 was a second release that followed immediately after first release (which was timed to coincide # with Nature paper pub. V2 revised schema (added ensembl gene ID, additional summary fields) # and color conventions. ########################################################################### # HGMD (updated 12/10/19 max) # HGMD (updated 01/25/18 max) # HGMD (updated 12/12/20 max) # got hgmd from Frank Schacherer Frank.Schacherer@qiagen.com and Rupert Yip Rupert.Yip@qiagen.com # see also the file hg38/hgmd.txt year=2020 cd /hive/data/genomes/hg19/bed/hgmd cat /hive/data/outside/hgmd/$year.4-hgmd-public_hg19.tsv | grep -v \# | tawk '{if ($5=="I") {start=$4-1; end=$4+1; col="100,100,100"} else if ($5=="D") {start=$4-1; end=$4; col="170,170,170"} else {start=$4-1; end=$4; col="0,0,0"}; print "chr"$3,start,end,$2":"$1,0,".",start,end,col,$2,$1,$5}' | sed -e 's/M$/substitution/' | sed -e 's/I$/insertion (between the two basepairs, sequence not provided by HGMD)/' | sed -e 's/D$/deletion (endpoint not provided by HGMD)/' | sed -e 's/X$/insertion-deletion (endpoint not provided by HGMD)/' | sed -e 's/R$/regulatory variant/' | sed -e 's/S$/splicing variant/' | sort -k1,1 -k2,2n > hgmd.bed bedToBigBed hgmd.bed /hive/data/genomes/hg19/chrom.sizes hgmd.bb -type=bed9+ -as=hgmd.as -tab ln -s /hive/data/genomes/hg19/bed/hgmd/hgmd.bb /gbdb/hg19/bbi/hgmd.bb hgBbiDbLink hg19 hgmd /gbdb/hg19/bbi/hgmd.bb # Forgot, finally done Oct 24: also updated hgBeacon bigBedToBed /gbdb/hg19/bbi/hgmd.bb /tmp/temp.bed python2 /usr/local/apache/cgi-bin/hgBeacon -f hgmd /tmp/temp.bed hgmd # Forgot, finally done June 26: updated GBIB as qateam scp /gbdb/hg19/bbi/hgmd.bb hgdownload:/usr/local/apache/gbib/prot/ # next restrict RefSeq down to HGMD subset # addition of HGMD-restricted subset, Max, Jan 29 2019, updated Dec 10 2019 cd /hive/data/genomes/hg19/bed/ncbiRefSeq.p13.2020-10-27/ year=2019 # change in 2019: ignore the version numbers, otherwise only 1815 transcripts left, big update by HGMD in 2019 # adding "." so NM_123 doesn't match NM_123123 cat /hive/data/outside/hgmd/$year.4-hgmd-public_hg38.tsv | cut -f7 | cut -d. -f1 | sort -u | awk '{print $1"."}' > hgmdTranscripts.txt cat process/hg19.curated.gp.gz | fgrep -f hgmdTranscripts.txt - > hgmd.curated.gp hgLoadGenePred -genePredExt hg19 ncbiRefSeqHgmd hgmd.curated.gp $ wc -l hgmd.curated.gp 7965 hgmd.curated.gp in 2019 8971 hgmd.curated.gp in 2020 # now continue the process at ../hg38/hgmd.txt ############################################################################# # LASTZ human/hg19 vs. pig/susScr11 - (DONE - 2018-04-02 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzSusScr11.2018-04-02 cd /hive/data/genomes/hg19/bed/lastzSusScr11.2018-04-02 printf '# human vs pig BLASTZ=/cluster/bin/penn/lastz-distrib-1.03.66/bin/lastz BLASTZ_O=400 BLASTZ_E=30 BLASTZ_M=254 # default BLASTZ_Q score matrix: # A C G T # A 91 -114 -31 -123 # C -114 100 -125 -31 # G -31 -125 100 -114 # T -123 -31 -114 91 # TARGET: Human hg19 SEQ1_DIR=/hive/data/genomes/hg19/hg19.2bit SEQ1_LEN=/hive/data/genomes/hg19/chrom.sizes SEQ1_CHUNK=20000000 SEQ1_LAP=10000 SEQ1_LIMIT=5 # QUERY: pig susScr11 SEQ2_DIR=/hive/data/genomes/susScr11/susScr11.2bit SEQ2_LEN=/hive/data/genomes/susScr11/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LIMIT=2 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzSusScr11.2018-04-02 TMPDIR=/dev/shm '> DEF time ($HOME/kent/src/hg/utils/automation/bigBlastzChainNet.pl `pwd`/DEF -verbose=2 \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -trackHub -syntenicNet) > do.log 2>&1 # real 638m46.019s cat fb.hg19.chainSusScr11Link.txt # 1427668193 bases of 2897316137 (49.276%) in intersection cat fb.hg19.chainSynSusScr11Link.txt # 1375005074 bases of 2897316137 (47.458%) in intersection # testing -trackHub option time (doRecipBest.pl -load -workhorse=hgwdev -buildDir=`pwd` \ -trackHub hg19 susScr11) > rbest.log 2>&1 & # real 691m17.717s cat fb.hg19.chainRBest.SusScr11.txt # 1342171392 bases of 2897316137 (46.325%) in intersection # and for the swap: mkdir /hive/data/genomes/susScr11/bed/blastz.hg19.swap cd /hive/data/genomes/susScr11/bed/blastz.hg19.swap # testing -trackHub option time ($HOME/kent/src/hg/utils/automation/doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzSusScr11.2018-04-02/DEF \ -swap -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -trackHub -syntenicNet) > swap.log 2>&1 # real 107m7.364s cat fb.susScr11.chainHg19Link.txt # 1386496715 bases of 2472073034 (56.086%) in intersection cat fb.susScr11.chainSynHg19Link.txt # 1353158526 bases of 2472073034 (54.738%) in intersection # testing -trackHub option time ($HOME/kent/src/hg/utils/automation/doRecipBest.pl \ -load -trackHub -workhorse=hgwdev -buildDir=`pwd` susScr11 hg19) \ > rbest.log 2>&1 # real 610m45.624s cat fb.susScr11.chainRBest.Hg19.txt # 1342604720 bases of 2472073034 (54.311%) in intersection ######################################################################### # DBSNP B151 / SNP151 (DONE 4/16/18 angie) # Redmine #21010 mkdir -p /hive/data/outside/dbSNP/151/human_hg19 cd /hive/data/outside/dbSNP/151/human_hg19 # Look at the directory listing of ftp://ftp.ncbi.nih.gov/snp/organisms/ # to find the subdir name to use as orgDir below (human_9606_b151_GRCh37p13 in this case). # Go to that subdirectory, then to database/organism_data/ and look for files # whose names start with b151_* and may or may not end with a suffix that identifies # the build assembly version or some annotation version. If there is a suffix shared # by all b151_* files, add that to config.ra as the "buildAssembly". # Since this build is on GRCh37.p13 like b144 above, use the liftUp.lft file # and ignoreDbSnpContigsFile constructed for b144. cat > config.ra <<EOF db hg19 orgDir human_9606_b151_GRCh37p13 build 151 buildAssembly 105 liftUp ../../144/human_hg19/liftUp.lft refAssemblyLabel GRCh37.p13 ignoreDbSnpContigsFile ../../144/human_hg19/patchContigs.txt EOF # dbSNP does not make a complete set of download files for hg19 anymore, so # do a "debug" run and link some files from hg38 before running the script. # (hard link so wget doesn't get confused) ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra -debug ln ../human_hg38/data/{S*,B*} data/ # Edit the download script: put if(0) around download files that dbSNP doesn't dump. vi ../download_human_hg19_151.csh # Run the edited script manually: csh -efx ../download_human_hg19_151.csh >& do.log & tail -f do.log # Now continue the usual way at the next step after download: ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra -continue loadDbSnp >>& do.log & tail -f do.log # While that's running, compare rs IDs in rs_fasta with b147_SNPContigLoc_105 to see # which IDs (if any) were omitted from the rs_fasta dump. zcat rs_fasta/rs*.fas.gz \ | perl -wne 'if (/^>/) { s/^>gnl\|dbSNP\|(rs\d+) .*/$1/ || die; print; }' \ | sort -u > rsFastaIds.txt zcat data/b151_SNPContigLoc_105.bcp.gz \ | awk '{print "rs" $2;}' \ | sort -u > contigLocIds.txt wc -l rsFastaIds.txt contigLocIds.txt # 611582085 rsFastaIds.txt # 648992551 contigLocIds.txt comm -13 rsFastaIds.txt contigLocIds.txt > missingFromRsFasta.txt wc -l missingFromRsFasta.txt #49191042 missingFromRsFasta.txt # Doh! Way too many for a batch request. So weird... hg19 rs_fasta download files # are dated more recently (March 4-6) than hg38 (Feb 22-24). # Looks like I should use the hg38 fasta, it has only 45 missing (see hg38/variation.txt): comm -13 ../human_hg38/rsFastaIds.txt contigLocIds.txt | wc -l #45 mv rs_fasta rs_fasta_missing_49M mkdir rs_fasta ln ../human_hg38/rs_fasta/* rs_fasta tail -f do.log # A mysql load command in the loadDbSnp step failed, so I edited loadDbSnp.csh to continue # from the failed command. csh -efx loadDbSnp.csh >> & do.log & tail -f do.log # Continue from next step: ~/kent/src/hg/utils/automation/doDbSnp.pl config.ra -continue addToDbSnp >>& do.log & tail -f do.log # Yay, script completed: # *** All done! (through the 'bigBed' step) ############################################################################## # SNP151 ORTHOLOGOUS ALLELES IN CHIMP, ORANG, MACAQUE (DONE 4/18/18 angie) # Redmine #21010 screen -S ortho -t ortho ~/kent/src/hg/utils/automation/doDbSnpOrthoAlleles.pl hg19 151 -debug # *** Steps were performed in /hive/data/genomes/hg19/bed/snp151Ortho.2018-04-17 cd /hive/data/genomes/hg19/bed/snp151Ortho.2018-04-17 ~/kent/src/hg/utils/automation/doDbSnpOrthoAlleles.pl hg19 151 \ >>& do.log & tail -f do.log # *** All done! ############################################################################## # SNPMASKED SEQUENCE FOR SNP151 (DONE 4/17/18 angie) # Redmine #21010 screen -S mask -t mask ~/kent/src/hg/utils/automation/doDbSnpMaskSequence.pl hg19 151 -debug # *** Steps were performed in /hive/data/genomes/hg19/snp151Mask.2018-04-17 cd /hive/data/genomes/hg19/snp151Mask.2018-04-17 ~/kent/src/hg/utils/automation/doDbSnpMaskSequence.pl hg19 151 \ >>& do.log & tail -f do.log # *** All done! ############################################################################## # LASTZ human/hg19 vs. pig/panPan2 - (DONE - 2018-05-01 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzPanPan2.2018-05-01 cd /hive/data/genomes/hg19/bed/lastzPanPan2.2018-05-01 printf '# human vs bonobo BLASTZ=/cluster/bin/penn/lastz-distrib-1.04.00/bin/lastz BLASTZ_O=400 BLASTZ_E=30 BLASTZ_M=254 # default BLASTZ_Q score matrix: # A C G T # A 91 -114 -31 -123 # C -114 100 -125 -31 # G -31 -125 100 -114 # T -123 -31 -114 91 # TARGET: Human hg19 SEQ1_DIR=/hive/data/genomes/hg19/hg19.2bit SEQ1_LEN=/hive/data/genomes/hg19/chrom.sizes SEQ1_CHUNK=20000000 SEQ1_LAP=10000 SEQ1_LIMIT=5 # QUERY: bonobo panPan2 SEQ2_DIR=/hive/data/genomes/panPan2/panPan2.2bit SEQ2_LEN=/hive/data/genomes/panPan2/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LIMIT=100 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzPanPan2.2018-05-01 TMPDIR=/dev/shm ' > DEF time (doBlastzChainNet.pl `pwd`/DEF -verbose=2 \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -trackHub -syntenicNet) > do.log 2>&1 # real 638m46.019s cat fb.hg19.chainPanPan2Link.txt # 2771380606 bases of 2897316137 (95.653%) in intersection cat fb.hg19.chainSynPanPan2Link.txt # 2730967003 bases of 2897316137 (94.259%) in intersection # testing -trackHub option time (doRecipBest.pl -load -workhorse=hgwdev -buildDir=`pwd` \ hg19 panPan2) > rbest.log 2>&1 & # real 157m46.388s cat fb.hg19.chainRBest.PanPan2.txt # 2657287479 bases of 2897316137 (91.715%) in intersection # and for the swap: mkdir /hive/data/genomes/panPan2/bed/blastz.hg19.swap cd /hive/data/genomes/panPan2/bed/blastz.hg19.swap time (doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzPanPan2.2018-05-01/DEF \ -swap -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -trackHub -syntenicNet) > swap.log 2>&1 # real 181m44.494s cat fb.panPan2.chainHg19Link.txt # 2671932133 bases of 2725937399 (98.019%) in intersection cat fb.panPan2.chainSynHg19Link.txt # 2657217983 bases of 2725937399 (97.479%) in intersection time (doRecipBest.pl -load -workhorse=hgwdev \ -buildDir=`pwd` panPan2 hg19) > rbest.log 2>&1 # real 132m52.206s cat fb.panPan2.chainRBest.Hg19.txt # 2661021780 bases of 2725937399 (97.619%) in intersection ############################################################################## # GNOMAD VARIANTS AND COVERAGE PLOTS (DONE - 2018-05-09 - Jonathan) # (Amended to add exome parsing 2018-06-18) # Redmine #18951 # Fetch supporting files from gnomad.broadinstitute.org/downloads. FETCHDIR=/hive/data/outside/gnomAD mkdir -p $FETCHDIR cd $FETCHDIR GNOMADVER=2.0.2 gsutil -m cp -r gs://gnomad-public/release/$GNOMADVER/vcf . gsutil -m cp -r gs://gnomad-public/release/$GNOMADVER/coverage . # Start with the VCF files cd vcf/genomes WORKDIR=/hive/data/genomes/hg19/bed/gnomad mkdir -p $WORKDIR # Some things misbehave with the .bgz extension (zcat command-line autocompletion for one), # so renaming the soft links as .gz when we create them. # Leaving the WORKDIR link creation in place for the moment, but it's a bit pointless. # Only the gbdb links are used in the end. mkdir -p /gbdb/hg19/gnomAD/vcf mkdir -p $WORKDIR/vcf for fil in `ls $FETCHDIR/vcf/genomes/gnomad.genomes.r$GNOMADVER.sites.chr*.vcf.bgz`; do BASE=`basename $fil .bgz`; ln -s $fil $WORKDIR/vcf/$BASE.gz; ln -s $fil.tbi $WORKDIR/vcf/$BASE.gz.tbi; ln -s $fil /gbdb/hg19/gnomAD/vcf/$BASE.gz; ln -s $fil.tbi /gbdb/hg19/gnomAD/vcf/$BASE.gz.tbi; done for fil in `ls $FETCHDIR/vcf/exomes/gnomad.exomes.r$GNOMADVER.sites.vcf.bgz`; do BASE=`basename $fil .bgz`; ln -s $fil $WORKDIR/vcf/$BASE.gz; ln -s $fil.tbi $WORKDIR/vcf/$BASE.gz.tbi; ln -s $fil /gbdb/hg19/gnomAD/vcf/$BASE.gz; ln -s $fil.tbi /gbdb/hg19/gnomAD/vcf/$BASE.gz.tbi; done # Dumping a list of annotated chromosomes for the gnomadGenomeVariants table. exome variants, all being # in a single file, are just handled via a bigDataUrl in trackDb. We still need an exomesChrList for # building the coverage wigs though. ls /gbdb/hg19/gnomAD/vcf/*.sites.chr*.gz | perl -pe 'chomp; s/^.*sites\.(chr\w+)\.vcf.*$/$_\t$1\n/' > $WORKDIR/genomesChrList hgLoadSqlTab hg19 gnomadGenomesVariants ~/kent/src/hg/lib/bbiChroms.sql $WORKDIR/genomesChrList ls $FETCHDIR/coverage/exomes/*.coverage.txt.gz | perl -pe 'chomp; s/^.*\.(chr\w+)\.coverage\.txt\.gz$/$_\t$1\n/' > $WORKDIR/exomesChrList # Now to make the coverage wig files mkdir -p $WORKDIR/coverage cd $FETCHDIR/coverage/genomes # makeWigs.pl is a short script to split coverage files into a collection of wiggles. # The script appends to these wiggle files because coverage is provided per-chromosome, # so makeWigs is run separately on each per-chrom coverage file and the results must be # joined together. cat > $WORKDIR/coverage/makeWigs.pl << EOF #!/bin/env perl use strict; use warnings; my \$version = shift; my \$chrom = shift; my \$sourceDir = shift; my \$destDir = shift; my \$genomesOrExomes = shift; open IN, "zcat \$sourceDir/gnomad.\$genomesOrExomes.r\$version.\$chrom.coverage.txt.gz |" || die "Could not open coverage file on chromosome \$chrom"; open (OUTMEAN, ">>", "\$destDir/gnomad.\$genomesOrExomes.coverage.mean.wig"); open (OUTMEDIAN, ">>", "\$destDir/gnomad.\$genomesOrExomes.coverage.median.wig"); open (OUT1, ">>", "\$destDir/gnomad.\$genomesOrExomes.coverage.depth1.wig"); open (OUT5, ">>", "\$destDir/gnomad.\$genomesOrExomes.coverage.depth5.wig"); open (OUT10, ">>", "\$destDir/gnomad.\$genomesOrExomes.coverage.depth10.wig"); open (OUT15, ">>", "\$destDir/gnomad.\$genomesOrExomes.coverage.depth15.wig"); open (OUT20, ">>", "\$destDir/gnomad.\$genomesOrExomes.coverage.depth20.wig"); open (OUT25, ">>", "\$destDir/gnomad.\$genomesOrExomes.coverage.depth25.wig"); open (OUT30, ">>", "\$destDir/gnomad.\$genomesOrExomes.coverage.depth30.wig"); open (OUT50, ">>", "\$destDir/gnomad.\$genomesOrExomes.coverage.depth50.wig"); open (OUT100, ">>", "\$destDir/gnomad.\$genomesOrExomes.coverage.depth100.wig"); my \$skipHeader = <IN>; my \$prevPos = -10; while (my \$line = <IN>) { chomp(\$line); my @a = split /\s+/, \$line; my \$pos = \$a[1]; if (\$pos != \$prevPos + 1) { print OUTMEAN "fixedStep chrom=\$chrom start=\$pos step=1\n"; print OUTMEDIAN "fixedStep chrom=\$chrom start=\$pos step=1\n"; print OUT1 "fixedStep chrom=\$chrom start=\$pos step=1\n"; print OUT5 "fixedStep chrom=\$chrom start=\$pos step=1\n"; print OUT10 "fixedStep chrom=\$chrom start=\$pos step=1\n"; print OUT15 "fixedStep chrom=\$chrom start=\$pos step=1\n"; print OUT20 "fixedStep chrom=\$chrom start=\$pos step=1\n"; print OUT25 "fixedStep chrom=\$chrom start=\$pos step=1\n"; print OUT30 "fixedStep chrom=\$chrom start=\$pos step=1\n"; print OUT50 "fixedStep chrom=\$chrom start=\$pos step=1\n"; print OUT100 "fixedStep chrom=\$chrom start=\$pos step=1\n"; } printf OUTMEAN "%s\n", \$a[2]; printf OUTMEDIAN "%s\n", \$a[3]; printf OUT1 "%s\n", \$a[4]; printf OUT5 "%s\n", \$a[5]; printf OUT10 "%s\n", \$a[6]; printf OUT15 "%s\n", \$a[7]; printf OUT20 "%s\n", \$a[8]; printf OUT25 "%s\n", \$a[9]; printf OUT30 "%s\n", \$a[10]; printf OUT50 "%s\n", \$a[11]; printf OUT100 "%s\n", \$a[12]; } EOF chmod +x $WORKDIR/coverage/makeWigs.pl for CHR in `cut -f 2 $WORKDIR/genomesChrList`; do $WORKDIR/coverage/makeWigs.pl $GNOMADVER $CHR `pwd` $WORKDIR/coverage genomes; done cd $FETCHDIR/coverage/exomes for CHR in `cut -f 2 $WORKDIR/exomesChrList`; do $WORKDIR/coverage/makeWigs.pl $GNOMADVER $CHR `pwd` $WORKDIR/coverage exomes; done # Convert to bigWigs for WIG in `ls $WORKDIR/coverage/*.wig`; do wigToBigWig $WIG /hive/data/genomes/hg19/chrom.sizes $WORKDIR/coverage/`basename $WIG .wig`.bw; done # No need to keep the wigs after the bigWigs are built for WIG in `ls $WORKDIR/coverage/*.wig`; do if [ -e $WORKDIR/coverage/`basename $WIG .wig`.bw ]; then rm $WIG; fi done mkdir -p /gbdb/hg19/gnomAD/coverage for BW in `ls $WORKDIR/coverage/*.bw`; do ln -s $BW /gbdb/hg19/gnomAD/coverage/`basename $BW`; done ############################################################################## # TEST SAME-SPECIES LIFTOVER (IN PROGRESS 6/1/18 angie) mkdir /hive/data/genomes/hg19/bed/blat.hg38.2018-06-01 cd /hive/data/genomes/hg19/bed/blat.hg38.2018-06-01 # Stop before the load step -- I just want to compare the chain & net results with # chainBridge in the mix. $HOME/kent/src/hg/utils/automation/doSameSpeciesLiftOver.pl \ -stop=net -buildDir=`pwd` \ -bigClusterHub=ku -dbHost=hgwdev -workhorse=hgwdev \ -ooc=/hive/data/genomes/hg19/11.ooc hg19 hg38 >>& do.log & tail -f do.log #TODO: compare results with original. ############################################################################## # GNOMAD pLI AND MISSENSE (IN PROGRESS 10/2/18 ChrisL) # Redmine #20394 and #22061 mkdir /hive/data/outside/gnomAD/pLI # files downloaded as redmine attachments (#22061) and then scp'd to above location # files provided by Anne O'Donnell-Luria: odonnell@broadinstitute.org # remove track line (which has weird characters anyways) tail -n +2 mis_z_20170508.bed > misZ.bed tail -n +2 pLI_20170508.bed > pLI.bed # make sure every field exists: tawk '{print NF}' misZ.bed | sort -u # 5 tawk '{print NF}' pLI.bed | sort -u # 5 # I predict there will be more work on these to get colors and other features # correct. For now just turn them into bigBeds: cat << EOF > pLI.as table pLI "BED5 with the pLI score as the name and a score for proper shading" ( string chrom; "Reference sequence chromosome or scaffold" uint chromStart; "Start position in chromosome" uint chromEnd; "End position in chromosome" string name; "pLI score in range 0 - 1" uint score; "Score for item shading" ) EOF cat << EOF > misZ.as table misZ "BED5 with the missense Z-score as the name and a score for proper shading" ( string chrom; "Reference sequence chromosome or scaffold" uint chromStart; "Start position in chromosome" uint chromEnd; "End position in chromosome" string name; "Missense Z-score score" uint score; "Score for item shading" ) EOF chromSizes=/hive/data/genomes/hg19/chrom.sizes sort -k1,1 -k2,2n pLI.bed > pLI.bed.sorted sort -k1,1 -k2,2n misZ.bed > misZ.bed.sorted bedToBigBed -tab -type=bed5 -as=pLI.as pLI.bed.sorted $chromSizes pLI.bb bedToBigBed -tab -type=bed5 -as=misZ.as misZ.bed.sorted $chromSizes misZ.bb mkdir /gbdb/hg19/gnomAD/pLI/ ln -s `pwd`/*.bb /gbdb/hg19/gnomAD/pLI/ # TODO: Ask Anne for feedback and changes, especially on color ############################################################################## # crispr 10K shoulders (DONE - 2018-11-09 - Hiram) time (~/kent/src/hg/utils/automation/doCrispr.pl \ -stop=load -buildDir=`pwd` -smallClusterHub=hgwdev-101 hg19 ncbiRefSeq) \ > do.log 2>&1 # real 5896m44.643s # hive cleaning 2021-04-26 time (~/kent/src/hg/utils/automation/doCrispr.pl \ -continue=cleanup -buildDir=`pwd` -smallClusterHub=hgwdev hg19 \ -fileServer=hgwdev -smallClusterHub=hgwdev -bigClusterHub=ku -workhorse=hgwdev) > cleanup.log 2>&1 & ############################################################################## # LASTZ human/hg19 vs. chimp/panTro6 - (DONE - 2018-12-14 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzPanTro6.2018-12-14 cd /hive/data/genomes/hg19/bed/lastzPanTro6.2018-12-14 printf '# human vs chimp BLASTZ=/cluster/bin/penn/lastz-distrib-1.04.00/bin/lastz # maximum M allowed with lastz is only 254 BLASTZ_M=254 BLASTZ_O=600 BLASTZ_E=150 BLASTZ_K=4500 BLASTZ_Y=15000 BLASTZ_L=4500 BLASTZ_T=2 BLASTZ_Q=/hive/data/staging/data/blastz/human_chimp.v2.q # A C G T # 90 -330 -236 -356 # -330 100 -318 -236 # -236 -318 100 -330 # -356 -236 -330 90 # TARGET: Human Hg19 SEQ1_DIR=/hive/data/genomes/hg19/hg19.2bit SEQ1_LEN=/hive/data/genomes/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 SEQ1_IN_CONTIGS=0 # QUERY: Chimp PanTro6 SEQ2_DIR=/hive/data/genomes/panTro6/panTro6.2bit SEQ2_LEN=/hive/data/genomes/panTro6/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=100 SEQ2_IN_CONTIGS=0 BASE=/hive/data/genomes/hg19/bed/lastzPanTro6.2018-12-14 TMPDIR=/dev/shm ' > DEF time (doBlastzChainNet.pl `pwd`/DEF -verbose=2 \ -chainMinScore=5000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=hgwdev-101 -bigClusterHub=ku \ -syntenicNet) > do.log 2>&1 # real 131m22.214s cat fb.hg19.chainPanTro6Link.txt # 2918066802 bases of 2991694177 (97.539%) in intersection cat fb.hg19.chainSynPanTro6Link.txt # 2899302671 bases of 2991694177 (96.912%) in intersection time (doRecipBest.pl -load -workhorse=hgwdev -buildDir=`pwd` \ hg19 panTro6) > rbest.log 2>&1 & # real 59m20.269s cat fb.hg19.chainRBest.PanTro6.txt # 2740453344 bases of 2991694177 (91.602%) in intersection # and for the swap: mkdir /hive/data/genomes/panTro6/bed/blastz.hg19.swap cd /hive/data/genomes/panTro6/bed/blastz.hg19.swap time (doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzPanTro6.2018-12-14/DEF \ -swap -chainMinScore=5000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=hgwdev-101 -bigClusterHub=ku \ -syntenicNet) > swap.log 2>&1 # real 68m21.941s cat fb.panTro6.chainHg19Link.txt # 2810896564 bases of 3018592990 (93.119%) in intersection cat fb.panTro6.chainSynHg19Link.txt # 2796543348 bases of 3018592990 (92.644%) in intersection time (doRecipBest.pl -load -workhorse=hgwdev \ -buildDir=`pwd` panTro6 hg19) > rbest.log 2>&1 # real 58m58.852s cat fb.panTro6.chainRBest.Hg19.txt # 2745994828 bases of 3018592990 (90.969%) in intersection ############################################################################## # LASTZ human/hg19 vs. orangutan/ponAbe3 - (DONE - 2018-12-14 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzPonAbe3.2018-12-14 cd /hive/data/genomes/hg19/bed/lastzPonAbe3.2018-12-14 printf '# human vs orangutan BLASTZ=/cluster/bin/penn/lastz-distrib-1.04.00/bin/lastz # maximum M allowed with lastz is only 254 BLASTZ_M=254 BLASTZ_O=600 BLASTZ_E=150 BLASTZ_K=4500 BLASTZ_Y=15000 BLASTZ_L=4500 BLASTZ_T=2 BLASTZ_Q=/hive/data/staging/data/blastz/human_chimp.v2.q # A C G T # 90 -330 -236 -356 # -330 100 -318 -236 # -236 -318 100 -330 # -356 -236 -330 90 # TARGET: Human Hg19 SEQ1_DIR=/hive/data/genomes/hg19/hg19.2bit SEQ1_LEN=/hive/data/genomes/hg19/chrom.sizes SEQ1_CHUNK=10000000 SEQ1_LAP=10000 SEQ1_IN_CONTIGS=0 # QUERY: Orangutan PonAbe3 SEQ2_DIR=/hive/data/genomes/ponAbe3/ponAbe3.2bit SEQ2_LEN=/hive/data/genomes/ponAbe3/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=100 SEQ2_IN_CONTIGS=0 BASE=/hive/data/genomes/hg19/bed/lastzPonAbe3.2018-12-14 TMPDIR=/dev/shm ' > DEF time (doBlastzChainNet.pl `pwd`/DEF -verbose=2 \ -chainMinScore=5000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=hgwdev-101 -bigClusterHub=ku \ -syntenicNet) > do.log 2>&1 # real 130m5.904s cat fb.hg19.chainPonAbe3Link.txt # 2832921438 bases of 2991694177 (94.693%) in intersection cat fb.hg19.chainSynPonAbe3Link.txt # 2809245575 bases of 2991694177 (93.901%) in intersection time (doRecipBest.pl -load -workhorse=hgwdev -buildDir=`pwd` \ hg19 ponAbe3) > rbest.log 2>&1 & # real 76m2.846s cat fb.hg19.chainRBest.PonAbe3.txt # 2638828970 bases of 2991694177 (88.205%) in intersection # and for the swap: mkdir /hive/data/genomes/ponAbe3/bed/blastz.hg19.swap cd /hive/data/genomes/ponAbe3/bed/blastz.hg19.swap time (doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzPonAbe3.2018-12-14/DEF \ -swap -chainMinScore=5000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=hgwdev-101 -bigClusterHub=ku \ -syntenicNet) > swap.log 2>&1 # real 62m32.858s cat fb.ponAbe3.chainHg19Link.txt # 2690870339 bases of 3043444524 (88.415%) in intersection cat fb.ponAbe3.chainSynHg19Link.txt # 2675805099 bases of 3043444524 (87.920%) in intersection time (doRecipBest.pl -load -workhorse=hgwdev \ -buildDir=`pwd` ponAbe3 hg19) > rbest.log 2>&1 # real 76m24.498s cat fb.ponAbe3.chainRBest.Hg19.txt # 2641865423 bases of 3043444524 (86.805%) in intersection ############################################################################# # genomenom mastermind track, Max, Feb 2019 cd /hive/data/genomes/hg19/bed/mastermind/ wget 'https://mastermind.genomenon.com/cvr/download?format=csv' -O - > mastermind.2018.11.26.csv.gz unzip mastermind.2018.11.26.csv.zip mv mastermind_cited_variants_reference-2018.11.26-csv/ 2018-11-26 hgsql hg19 -NB -e 'select alias, chrom from chromAlias where source = "refseq";' > chromAlias.tab python ~/kent/src/hg/makeDb/mastermind/mastermindToBed.py 2018-11-26/mastermind_cited_variants_reference-2018.11.26.csv bedSort mastermind.bed mastermind.bed bedToBigBed -type=bed9+ -as=~/kent/src/hg/makeDb/mastermind/mastermind.as -tab mastermind.bed /hive/data/genomes/hg19/chrom.sizes mastermind.bb ln -s `pwd`/mastermind.bb /gbdb/hg19/bbi/mastermind.bb ############################################################################## # DGV GOLD (DATABASE OF GENOMIC VARIANTS GOLD STANDARD) (DONE 5/06/19 ChrisL) # Redmine #23371 ############################################################################## TODAY=`date +%y%m%d` mkdir -p /hive/data/genomes/hg19/bed/dgv/$TODAY cd /hive/data/genomes/hg19/bed/dgv/$TODAY wget http://dgv.tcag.ca/dgv/docs/DGV.GS.March2016.50percent.GainLossSep.Final.hg19.gff3 # GFF3 with the 9th field full of extra info that we need to recreate the blocks # as seen at the DGV website. See note-6 in the redmine (23371) for an example # of the different cnv representations (1, 2, or 3 blocks). # what sub-fields are in the 9th field: head -1 DGV.GS.March2016.50percent.GainLossSep.Final.hg19.gff3 | cut -f9 | tr ';' '\n' | cut -d'=' -f1 # ID # Name # variant_type # variant_sub_type # outer_start # inner_start # inner_end # outer_end # inner_rank # num_variants # variants # num_studies # Studies # num_platforms # Platforms # number_of_algorithms # algorithms # num_samples # samples # Frequency # PopulationSummary # num_unique_samples_tested # and how many unique CNV regions? cut -f9 DGV.GS.March2016.50percent.GainLossSep.Final.hg19.gff3 | tr ';' '\t' | cut -f1 | cut -d'=' -f2 | sort -u | wc -l # 38185 wc -l DGV.GS.March2016.50percent.GainLossSep.Final.hg19.gff3 # 114555 DGV.GS.March2016.50percent.GainLossSep.Final.hg19.gff3 calc 114555 /3 # 114555 /3 = 38185.000000 # run script to process the bedlines out of each of the gff lines ~/kent/src/hg/utils/automation/translateDgvGold.py DGV.GS.March2016.50percent.GainLossSep.Final.hg19.gff3 | sort -k1,1 -k2,2n | uniq > dgvGold.bed12 cat << EOF > dgvGold.as table dgvGold "Database of Genomic Variants Gold Standard Curated Variants" ( string chrom; "Chromosome name" uint chromStart; "Maximum boundary of CNV" uint chromEnd; "Maximum boundary of CNV" string name; "Name from gff" uint score; "Not used" char[1] strand; "Not used" uint thickStart; "Same as chromEnd" uint thickEnd; "Same as chromEnd" uint reserved; "Color of item. Blue for gain and red for loss" int blockCount; "Number of blocks" int[blockCount] blockSizes; "Size of each block" int[blockCount] chromStarts; "Start position of each block relative to chromStart" string dgvID; "Name of CNV from DGV" string variant_type; "CNV" string variant_sub_type; "Gain or Loss" int inner_rank; "Rank of the used to assign the blocks" int num_variants; "Number of variants coalesced to form the entire region" string[num_variants] variants; "Supporting variants" int num_studies; "Number of studies" string[num_studies] Studies; "Study names in 'Name Year' format" int num_platforms; "Number of sequencing platforms" string[num_platforms] Platforms; "Sequencing platform names" int number_of_algorithms; "Number of CNV detection algorithms" string[number_of_algorithms] algorithms; "CNV detection algorithms used" int num_samples; "Number of samples" string[num_samples] samples; "Sample names" string Frequency; "Overall frequency of variants across all studies" string PopulationSummary; "Populations tested across all studies" int num_unique_samples_tested; "Number of samples " ) EOF CHROMSIZES=/hive/data/genomes/hg19/chrom.sizes bedToBigBed -type=bed12+17 -as=dgvGold.as -tab -extraIndex=name dgvGold.bed12 $CHROMSIZES dgvGold.bb bigBedInfo dgvGold.bb # version: 4 # fieldCount: 29 # hasHeaderExtension: yes # isCompressed: yes # isSwapped: 0 # extraIndexCount: 0 # itemCount: 38,185 # primaryDataSize: 30,841,362 # primaryIndexSize: 6,892 # zoomLevels: 8 # chromCount: 24 # basesCovered: 580,564,080 # meanDepth (of bases covered): 3.668451 # minDepth: 1.000000 # maxDepth: 81.000000 # std of depth: 5.825349 # link into gbdb mkdir -p /gbdb/hg19/dgv ln -s `pwd`/dgvGold.bb /gbdb/hg19/dgv/ ############################################################################## # LASTZ human/hg19 Tree chimp/rheMac10 - (DONE - 2019-07-09 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzRheMac10.2019-07-09 cd /hive/data/genomes/hg19/bed/lastzRheMac10.2019-07-09 printf '# human vs macaca mulatta BLASTZ=/cluster/bin/penn/lastz-distrib-1.04.00/bin/lastz # maximum M allowed with lastz is only 254 BLASTZ_M=254 BLASTZ_Q=/hive/data/staging/data/blastz/human_chimp.v2.q BLASTZ_O=600 BLASTZ_E=150 # other parameters from panTro2 vs hg18 lastz on advice from Webb BLASTZ_K=4500 BLASTZ_Y=15000 BLASTZ_T=2 # TARGET: Human Hg19 SEQ1_DIR=/hive/data/genomes/hg19/hg19.2bit SEQ1_LEN=/hive/data/genomes/hg19/chrom.sizes SEQ1_CHUNK=20000000 SEQ1_LAP=10000 # QUERY: Macaca Mulatta RheMac10 SEQ2_DIR=/hive/data/genomes/rheMac10/rheMac10.2bit SEQ2_LEN=/hive/data/genomes/rheMac10/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LIMIT=600 SEQ2_LAP=0 SEQ2_IN_CONTIGS=0 BASE=/hive/data/genomes/hg19/bed/lastzRheMac10.2019-07-09 TMPDIR=/dev/shm ' > DEF # << happy emacs time (doBlastzChainNet.pl -verbose=2 `pwd`/DEF \ -syntenicNet -fileServer=hgwdev \ -chainMinScore=5000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku) > do.log 2>&1 # real 85m20.849s cat fb.hg19.chainRheMac10Link.txt # 2604364199 bases of 2991694177 (87.053%) in intersection cat fb.hg19.chainSynRheMac10Link.txt # 2570126144 bases of 2991694177 (85.909%) in intersection time (doRecipBest.pl -workhorse=hgwdev -load -buildDir=`pwd` hg19 rheMac10) > rbest.log 2>&1 & # real 112m12.228s cat fb.hg19.chainRBest.RheMac10.txt # 2421810991 bases of 2991694177 (80.951%) in intersection # and for the swap: mkdir /hive/data/genomes/rheMac10/bed/blastz.hg19.swap cd /hive/data/genomes/rheMac10/bed/blastz.hg19.swap time (doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzRheMac10.2019-07-09/DEF \ -swap -chainMinScore=5000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -syntenicNet) > swap.log 2>&1 # real 56m29.163s cat fb.rheMac10.chainHg19Link.txt # 2483311773 bases of 2936892733 (84.556%) in intersection cat fb.rheMac10.chainSynHg19Link.txt # 2461925388 bases of 2936892733 (83.828%) in intersection time (doRecipBest.pl -workhorse=hgwdev -load -buildDir=`pwd` rheMac10 hg19) > rbest.log 2>&1 # real 112m15.825s cat fb.rheMac10.chainRBest.Hg19.txt # 2423781773 bases of 2936892733 (82.529%) in intersection ######################################################################### # 2019-12-02: AVADA fulltext variants, Max cd /hive/data/genomes/hg19/bed/avada wget http://bejerano.stanford.edu/AVADA/avada_v1.00_2016.vcf.gz python ~/kent/src/hg/makeDb/avada/toBed.py > avada.bed cat avada.bed | sort -k10 > avada.s.bed cp /hive/data/inside/pubs/text/medline/articles.db /dev/shm/max/ bedAppendPaperInfo avada.s.bed avadaPapers.bed --db /dev/shm/max --geneIdx=9 bedSort avadaPapers.bed avadaPapers.bed cat avadaPapers.bed | uniq > avadaPapers.u.bed bedToBigBed avadaPapers.u.bed /hive/data/genomes/hg19/chrom.sizes -as=${HOME}/kent/src/hg/makeDb/avada/avada.as -tab avada.bb -type=bed9+ rm /dev/shm/max/articles.db cd /gbdb/hg19/bbi ln -s /hive/data/genomes/hg19/bed/avada/avada.bb ######################################################################### # Hi-C example track drawing from Rao 2014 - (DONE - 2019-10-07 - Jonathan) mkdir -p /hive/data/genomes/hg19/bed/hic cd /hive/data/genomes/hg19/bed/hic # Files are located on GEO at https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE63525. I grabbed the hic files # and used a subset of them (the combined files that haven't been filtered). wget ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE63nnn/GSE63525/suppl/GSE63525_GM12878_insitu_primary%2Breplicate_combined.hic wget ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE63nnn/GSE63525/suppl/GSE63525_HMEC_combined.hic wget ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE63nnn/GSE63525/suppl/GSE63525_HUVEC_combined.hic wget ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE63nnn/GSE63525/suppl/GSE63525_IMR90_combined.hic wget ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE63nnn/GSE63525/suppl/GSE63525_K562_combined.hic wget ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE63nnn/GSE63525/suppl/GSE63525_KBM7_combined.hic wget ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE63nnn/GSE63525/suppl/GSE63525_NHEK_combined.hic mkdir -p /gbdb/hg19/bbi/hic cd /gbdb/hg19/bbi/hic ln -s /hive/data/genomes/hg19/bed/hic/*.hic . ######################################################################### # Illumina GDA (DONE braney 2019-10-16) cd /cluster/data/hg19/bed/gda wget "http://webdata.illumina.com.s3-website-us-east-1.amazonaws.com/downloads/productfiles/global-diversity-array/infinium-global-diversity-array-8-d1-csv.zip" unzip *.zip awk 'BEGIN {FS=","; OFS="\t"} { print "chr" $10, $11-1, $11, $2,0, $21,$4}' *.csv | sort -k1,1 -k2,2n | bedClip stdin /cluster/data/hg19/chrom.sizes gda.bed hgLoadSqlTab hg19 snpArrayIlluminaGDA gda.sql gda.bed ######################################################################### # ncbiRefSeq.p13 update (DONE - 2019-11-21 - Hiram) mkdir /hive/data/genomes/hg19/bed/ncbiRefSeq.p13.2019-11-21 cd /hive/data/genomes/hg19/bed/ncbiRefSeq.p13.2019-11-21 # running step wise just to be careful time (~/kent/src/hg/utils/automation/doNcbiRefSeq.pl -buildDir=`pwd` \ -bigClusterHub=ku -dbHost=hgwdev \ -stop=download -fileServer=hgwdev -smallClusterHub=ku -workhorse=hgwdev \ refseq vertebrate_mammalian Homo_sapiens \ GCF_000001405.25_GRCh37.p13 hg19) > download.log 2>&1 # real 2m27.137s time (~/kent/src/hg/utils/automation/doNcbiRefSeq.pl -buildDir=`pwd` \ -continue=process -bigClusterHub=ku -dbHost=hgwdev \ -stop=process -fileServer=hgwdev -smallClusterHub=ku -workhorse=hgwdev \ refseq vertebrate_mammalian Homo_sapiens \ GCF_000001405.25_GRCh37.p13 hg19) > process.log 2>&1 # real 2m9.450s ### BEFORE loading this updated table cat fb.ncbiRefSeq.hg19.txt # 85414465 bases of 2991694177 (2.855%) in intersection featureBits -enrichment hg19 refGene ncbiRefSeq # refGene 3.002%, ncbiRefSeq 2.855%, both 2.690%, cover 89.59%, enrich 31.38x featureBits -enrichment hg19 ncbiRefSeq refGene # ncbiRefSeq 2.855%, refGene 3.002%, both 2.690%, cover 94.21%, enrich 31.38x featureBits -enrichment hg19 ncbiRefSeqCurated refGene # ncbiRefSeqCurated 2.855%, refGene 3.002%, both 2.690%, cover 94.21%, enrich 31.38x featureBits -enrichment hg19 refGene ncbiRefSeqCurated # refGene 3.002%, ncbiRefSeqCurated 2.855%, both 2.690%, cover 89.59%, enrich 31.38x time (~/kent/src/hg/utils/automation/doNcbiRefSeq.pl -buildDir=`pwd` \ -continue=load -bigClusterHub=ku -dbHost=hgwdev \ -stop=load -fileServer=hgwdev -smallClusterHub=ku -workhorse=hgwdev \ refseq vertebrate_mammalian Homo_sapiens \ GCF_000001405.25_GRCh37.p13 hg19) > load.log 2>&1 # real 0m21.982s ### AFTER loading this updated table cat fb.ncbiRefSeq.hg19.txt # 93708953 bases of 2991694177 (3.132%) in intersection featureBits -enrichment hg19 refGene ncbiRefSeq # refGene 3.002%, ncbiRefSeq 3.132%, both 2.983%, cover 99.35%, enrich 31.72x featureBits -enrichment hg19 ncbiRefSeq refGene # ncbiRefSeq 3.132%, refGene 3.002%, both 2.983%, cover 95.23%, enrich 31.72x featureBits -enrichment hg19 ncbiRefSeqCurated refGene # ncbiRefSeqCurated 3.132%, refGene 3.002%, both 2.983%, cover 95.23%, enrich 31.72x featureBits -enrichment hg19 refGene ncbiRefSeqCurated # refGene 3.002%, ncbiRefSeqCurated 3.132%, both 2.983%, cover 99.35%, enrich 31.72x ######################################################################### # CADD (DONE - 2019-12-05 - Max) wget https://krishna.gs.washington.edu/download/CADD/bigWig/CADD_GRCh37-v1.4.bw -O /hive/data/genomes/hg19/bed/cadd/CADD-v1.4.bw ln -s /hive/data/genomes/hg19/bed/cadd/CADD-v1.4.bw /gbdb/hg19/bbi/CADD-v1.4.bw ######################################################################### ######################################################################### # gnomAD 2 pLI and other loss of function metrics (DONE - 2019-12-10 - Chris) ### hg19 gnomad v2.1.1 gene/transcript constraint data ### cd /hive/data/outside/gnomAD.2/ mkdir constraint cd constraint # use gsutil to copy files: gsutil cp gs://gnomad-public/release/2.1.1/constraint/*.txt.bgz . Copying gs://gnomad-public/release/2.1.1/constraint/gnomad.v2.1.1.lof_metrics.by_gene.txt.bgz... Copying gs://gnomad-public/release/2.1.1/constraint/gnomad.v2.1.1.lof_metrics.by_transcript.txt.bgz... Copying gs://gnomad-public/release/2.1.1/constraint/gnomad.v2.1.1.lof_metrics.downsamplings.txt.bgz... | [3 files][205.6 MiB/205.6 MiB] Operation completed over 3 objects/205.6 MiB. transcriptFile=gnomad.v2.1.1.lof_metrics.by_transcript.txt.bgz geneFile=gnomad.v2.1.1.lof_metrics.by_gene.txt.bgz hgsql -Ne "select name from wgEncodeGencodeCompV19" hg19 | tr '.' '\t' | cut -f1 > hg19.gencodeV19.transcripts cut -f11 pliByGene.bed | sort > pliByGene.transcripts cut -f11 pliByTranscripts.bed | sort > pliByTranscripts.transcripts wc -l *.transcripts # 189020 hg19.gencodeV19.transcripts # 19704 pliByGene.transcripts # 80950 pliByTranscripts.transcripts # 289674 total # check that v19 has all the transcripts: comm -12 hg19.gencodeV19.transcripts pliByGene.transcripts | wc -l 19704 comm -12 hg19.gencodeV19.transcripts pliByTranscripts.transcripts | wc -l 80950 rm hg19.gencodeV19.transcripts # ok safe to use v19 exon boundaries, just need to drop the version numbers: hgsql -Ne "select * from wgEncodeGencodeCompV19" hg19 | cut -f2- | genePredToBed | sed -Ee 's/\.[0-9]+//' | sort -k4 > hg19.gencodeCompV19.bed12 gzip -cd $geneFile | tail -n +2 \ | tawk '{print $75,$76,$77,$64,$65,$1,$2,$3,$4,$5,$33,$12,$13,$14,$32,$17,$20,$21,$24,$25,$26,$27,$28,$29,$30}' \ | sort -k7 | join -t $'\t' -1 4 -2 7 hg19.gencodeCompV19.bed12 - \ | ~/kent/src/hg/makeDb/gnomad/combine.awk -v doTranscripts=false 2>genes.chromMismatches gzip -cd $transcriptFile | tail -n +2 \ | tawk '{print $76,$77,$78,$65,$66,$1,$2,$4,$5,$6,$34,$13,$14,$15,$33,$18,$21,$22,$25,$26,$27,$28,$29,$30,$31}' \ | sort -k7 | join -t $'\t' -1 4 -2 7 hg19.gencodeCompV19.bed12 - \ | ~/kent/src/hg/makeDb/gnomad/combine.awk -v doTranscripts=true 2>transcripts.chromMismatches sort -k1,1 -k2,2n pliByTranscript.tab > pliByTranscript.bed sort -k1,1 -k2,2n missenseByTranscript.tab > missenseByTranscript.bed sort -k1,1 -k2,2n pliByGene.tab > pliByGene.bed sort -k1,1 -k2,2n missenseByGene.tab > missenseByGene.bed # make pli .as file: # table pliMetrics # "bed12+6 for displaying gnomAD haploinsufficiency prediction scores" # ( # string chrom; "Reference sequence chromosome or scaffold" # uint chromStart; "Start position in chromosome" # uint chromEnd; "End position in chromosome" # string name; "ENST or ENSG Name" # uint score; "pLI score between 0-1000" # char[1] strand; "strand of transcript" # uint thickStart; "Start of where display is thick" # uint thickEnd; "End of where display should be thick" # uint itemRgb; "Color of item" # int blockCount; "Number of exons" # int[blockCount] blockSizes; "Size of each exon" # int[blockCount] blockStarts; "0-based start position of each exon" # string _mouseOver; "Mouseover label" # float _loeuf; "LOEUF value for filters" # float _pli; "pLI value for filters" # string geneName; "Associated Gene symbol" # string synonymous; "Synonymous metrics" # string pLoF; "Predicted Loss of Function metrics # ) # make missense .as file: #table missenseMetrics #"bed12+5 for displaying gnomAD missense prediction scores" # ( # string chrom; "Reference sequence chromosome or scaffold" # uint chromStart; "Start position in chromosome" # uint chromEnd; "End position in chromosome" # string name; "ENST or ENSG Name" # uint score; "pLI score between 0-1000, or -1 for NA" # char[1] strand; "strand of transcript" # uint thickStart; "Start of where display is thick" # uint thickEnd; "End of where display should be thick" # uint itemRgb; "Color of item" # int blockCount; "Number of exons" # int[blockCount] blockSizes; "Size of each exon" # int[blockCount] chromStarts; "0-based start position of each exon" # string _mouseOver; "Mouseover label" # float _zscore; "Z-score value for filters" # string geneName; "Gene symbol" # string synonymous; "Synonymous metrics" # string missense; "Missense metrics" # ) sizes=/hive/data/genomes/hg19/chrom.sizes bedToBigBed -type=bed12+6 -as=pliMetrics.as -tab -extraIndex=name,geneName pliByGene.bed $sizes pliByGene.bb bedToBigBed -type=bed12+6 -as=pliMetrics.as -tab -extraIndex=name,geneName pliByTranscript.bed $sizes pliByTranscript.bb bedToBigBed -type=bed12+5 -as=missenseMetrics.as -tab -extraIndex=name,geneName missenseByGene.bed $sizes missenseByGene.bb edToBigBed -type=bed12+5 -as=missenseMetrics.as -tab -extraIndex=name,geneName missenseByTranscript.bed $sizes missenseByTranscript.bb cd /gbdb/hg19/gnomAD/pLI/ ln -s /hive/data/outside/gnomAD.2/constraint/pliByGene.bb ln -s /hive/data/outside/gnomAD.2/constraint/pliByTranscript.bb ln -s /hive/data/outside/gnomAD.2/constraint/missenseByGene.bb ln -s /hive/data/outside/gnomAD.2/constraint/missenseByTranscript.bb ############################################################################## 2020-01-13: Add size filter to dgvMerged and dgvSupporting track (ChrisL) cd /hive/data/genomes/hg19/bed/dgv/160810 zcat dgvMerged.bed.gz | tawk '{print $0, $3-$2}' > dgvMergedWithSize.bed zcat dgvSupporting.bed.gz | tawk '{print $0, $3-$2}' > dgvSupportingWithSize.bed cat dgvPlusSize.as # table dgvPlus # "Database of Genomic Variants incorporating dbVar, July 2013 and later" # ( # string chrom; "Reference sequence chromosome or scaffold" # uint chromStart; "Start position in chromosome" # uint chromEnd; "End position in chromosome" # string name; "ID of merged variant or supporting variant" # uint score; "Score from 0-1000 (placeholder for BED 9+ format)" # char[1] strand; "+ or - (placeholder for BED 9+ format)" # uint thickStart; "Same as chromStart (placeholder for BED 9+ format)" # uint thickEnd; "Same as chromStart (placeholder for BED 9+ format)" # uint itemRgb; "Item R,G,B color." # string varType; "Type of variation" # string reference; "Literature reference for the study that included this variant" # uint pubMedId; "For linking to pubMed abstract of reference" # lstring method; "Brief description of method" # lstring platform; "Sequencing platform (if specified)" # string mergedVariants; "If this is a supporting variant, ID of merged variant" # lstring supportingVariants; "If this is a merged variant, IDs of supporting variants" # uint sampleSize; "Number of samples in study" # uint observedGains; "Number of samples with copy number gains" # uint observedLosses; "Number of samples with copy number losses" # lstring cohortDescription; "Description of sample population for the study" # lstring genes; "Genes overlapping this variant" # lstring samples; "Sample IDs if available" # uint _size; "Genomic Size of variant" # ) bedToBigBed -tab -as=dgvPlusSize.as -type=bed9+14 dgvMergedWithSize.bed /hive/data/genomes/hg19/chrom.sizes dgvMerged.bb # pass1 - making usageList (24 chroms): 1054 millis # pass2 - checking and writing primary data (392583 records, 23 fields): 8495 millis bedToBigBed -tab -as=dgvPlusSize.as -type=bed9+14 dgvSupportingWithSize.bed /hive/data/genomes/hg19/chrom.sizes dgvSupporting.bb # pass1 - making usageList (25 chroms): 2577 millis # pass2 - checking and writing primary data (6668715 records, 23 fields): 27271 millis cd /gbdb/hg19/dgv/ ln -s /hive/data/genomes/hg19/bed/dgv/160810/dgvMerged.bb ln -s /hive/data/genomes/hg19/bed/dgv/160810/dgvSupporting.bb ############################################################################## # gnomAD Missense Constraint Scores track - Jan 15 2020 - ChrisL cd /hive/data/outside/gnomAD.2/constraint/ mkdir missense gsutil cat gs://gnomad-public/legacy/exacv1_downloads/release1/regional_missense_constraint/README_fordist_mpc_values > README.txt # so the v2 files are what we want since they are most recent: gsutil cp gs://gnomad-public/legacy/exacv1_downloads/release1/regional_missense_constraint/fordist_constraint_official_mpc_values_v2.txt.* . # this is not what we want, at least not for what should be a bigBed, although this would make a nice bigWig file? chrom pos ref alt gene_name ENST ENSG CCDS Consequence HGVSc HGVSp Amino_acids context SIFT PolyPhen obs_exp mis_badness fitted_score MPC 1 69094 G A OR4F5 ENST00000335137 ENSG00000186092 CCDS30547.1 missense_variant ENST00000335137.3:c.4G>A ENSP00000334393.3:p.Val2Met V/M GGT deleterious(0.01) possibly_damaging(0.828) 0.115421521859 0.359925753267 0.689727513402 2.7340307082 # After reading the paper: https://www.biorxiv.org/content/10.1101/148353v1.full # it looks like what I want is in supp table 4, which is an excel sheet ugh wget https://www.biorxiv.org/highwire/filestream/44323/field_highwire_adjunct_files/2/148353-3.xlsx xlsx2csv -a -d 'tab' 148353-3.xlsx 148353-3 ls 148353-3 # Info.csv Table_S4.csv # Table_S4.csv is where it's at: # head -2 148353-3/Table_S4.csv transcript gene chr amino_acids genomic_start genomic_end obs_mis exp_mis obs_exp chisq_diff_null region_name ENST00000337907.3 RERE 1 1-507 8716356 8424825 97 197.9807 0.489947 51.505535 RERE_1 ENST00000337907.3 RERE 1 508-1567 8424824 8415147 355 438.045275 0.810419 15.743847 RERE_2 # now I need to get this into exons somehow hgsql -Ne "select * from wgEncodeGencodeCompV19" | cut -f2- | genePredToBed > hg19.gencodeV19.txt bedToPsl /hive/data/genomes/hg19/chrom.sizes hg19.gencodeV19.txt v19.psl # pslMap would work here but since I don't know how to make a psl for RERE:1-507 I can't supply # the input psl that pslMap needs. thus I'll need a new util # first trim the utrs from v19: ~/kent/src/hg/makeDb/gnomad/trimUtrs.py hg19.gencodeV19.txt trimmedUtrs.txt # 99448 transcript added to transcript dict # are these correct? bedToExons trimmedUtrs.txt my.gencode.exonsOnly bedToExons -cdsOnly hg19.gencodeV19.txt gencode.exonsOnly # the awk removes the non-coding transcripts diff <(cut -f1-4 gencode.exonsOnly | tawk '{if ($3 != $2) print}' | sort -k4) <(cut -f1-4 trimmedUtrs.txt | sort -k4) # no diffs so we're good # now chop up exons according to the amino acids: ~/kent/src/hg/makeDb/gnomad/aaToGenomic.py trimmedUtrs.txt 148353-3/Table_S4.csv > aaToBed.out # make autoSql file, regular bed12 plus one for the gene name and one for the chi square value # table missenseConstraint # "Parts of transcripts shaded according to how well that region of the transcript tolerates missense variation." # ( # string chrom; "Chromosome (or contig, scaffold, etc.)" # uint chromStart; "Start position in chromosome" # uint chromEnd; "End position in chromosome" # string name; "Name of item" # uint score; "Score from 0-1000" # char[1] strand; "+ or -" # uint thickStart; "Start of where display should be thick (start codon)" # uint thickEnd; "End of where display should be thick (stop codon)" # uint reserved; "RGB color of item" # int blockCount; "Number of blocks" # int[blockCount] blockSizes; "Comma separated list of block sizes" # int[blockCount] chromStarts; "Start positions relative to chromStart" # string geneName; "Name of corresponding gene" # int observed; "Number of observed missense variants" # float expected; "Number of expected missense variants" # float obs_exp; "Observed/expected score" # float chisq; "Chi-Squared Difference" # string _mouseOver; "MouseOver label" # ) # now we can make the bigBed: ./aaToGenomic.py trimmedUtrs.txt 148353-3/Table_S4.csv | sort -k1,1 -k2,2n > missenseConstrained.bed bedToBigBed -tab -type=bed12+6 -as=missenseBed.as missenseConstrained.bed /hive/data/genomes/hg19/chrom.sizes missenseConstrained.bb # pass1 - making usageList (24 chroms): 5 millis # pass2 - checking and writing primary data (6507 records, 17 fields): 134 millis # only a few genes: cut -f13 missenseConstrained.bed | sort | uniq | wc -l # 2700 ln -s /gbdb/hg19/gnomAD/missenseConstrained.bb missenseConstrained.bb ############################################################################## # adding RefSeq Select to NCBIRefSeq, Max, Feb 17 2020 cd /hive/data/genomes/hg19/bed/ncbiRefSeq.p13.2019-11-21 zcat download/*_genomic.gff.gz | egrep 'tag=(RefSeq|MANE) Select' | cut -f9- | tr ';' '\n' | grep Name= | grep -v NP_ | cut -d= -f2 | sort -u > refseqSelectTranscripts.txt cat process/hg19.curated.gp | fgrep -f refseqSelectTranscripts.txt - > refseqSelect.curated.gp hgLoadGenePred -genePredExt hg19 ncbiRefSeqSelect refseqSelect.curated.gp wc -l refseqSelect.curated.gp 21436 refseqSelect.curated.gp ############################################################################## # doseSensitivity (WORKING - 2020-02-06, Ana, Hiram) mkdir /hive/data/genomes/hg19/bed/doseSensitivity cd /hive/data/genomes/hg19/bed/doseSensitivity ftp original files from ClinGen: ftp://ftp.ncbi.nlm.nih.giv/pub/dbVar/clingen/ wget --timestamping \ ftp://ftp.ncbi.nlm.nih.gov/pub/dbVar/clingen/ClinGen_haploinsufficiency_gene_GRCh37.bed wget --timestamping \ ftp://ftp.ncbi.nlm.nih.gov/pub/dbVar/clingen/ClinGen_triplosensitivity_gene_GRCh37.bed -rw-rw-rw- 1 202784 Jan 28 16:21 ClinGen_gene_curation_list_GRCh37.tsv -rw-rw-rw- 1 45142 Jan 28 16:21 ClinGen_haploinsufficiency_gene_GRCh37.bed -rw-rw-rw- 1 48750 Jan 28 16:22 ClinGen_triplosensitivity_gene_GRCh37.bed # create perl script for processing: toUcsc.pl ########################################################################### #!/usr/bin/env perl use strict; use warnings; my $argc = scalar(@ARGV); if ($argc != 1) { printf STDERR "usage: ./toUcsc.pl originalFile.bed > newFile.bed\n"; exit 255; } my @mouseOver; $mouseOver[0] = "not yet evaluated"; $mouseOver[1] = "no evidence for dosage pathogenicity"; $mouseOver[2] = "little evidence for dosage pathogenicity"; $mouseOver[3] = "some evidence for dosage pathogenicity"; $mouseOver[4] = "sufficient evidence for dosage pathogenicity"; $mouseOver[5] = "gene associated with autosomal recessive phenotype"; $mouseOver[6] = "haploinsufficiency unlikely"; my $inFile = shift; open (FH, "grep -v track $inFile|") or die "can not read $inFile"; while (my $line = <FH>) { chomp $line; # printf STDERR "# %s\n", $line if ($line =~ m/Not/); my @a = split('\s+', $line, 5); my $selectMouseOver = 0; my $color = "0,255,0"; my $score = $a[4]; if ($a[4] =~ m/Not/) { $color = "128,128,128"; $score = 0; $selectMouseOver = 0; } elsif (0 == $a[4]) { $color = "252,79,89"; $selectMouseOver = 1; } elsif (1 == $a[4]) { $color = "209,45,51"; $selectMouseOver = 2; } elsif (2 == $a[4]) { $color = "160,48,51"; $selectMouseOver = 3; } elsif (3 == $a[4]) { $color = "109,51,43"; $selectMouseOver = 4; } elsif (30 == $a[4]) { $color = "109,51,43"; $selectMouseOver = 5; } elsif (40 == $a[4]) { $color = "0,0,255"; $selectMouseOver = 6; } else { printf STDERR "%s\n", $line; die "unrecognized column 5 value ?"; } printf "%s\t%d\t%d\t%s\t%d\t+\t%d\t%d\t%s\t%s\t%d - %s\n", $a[0], $a[1], $a[2], $a[3], $score, $a[1], $a[2], $color, $a[4], $score, $mouseOver[$selectMouseOver]; } close (FH); ########################################################################### # convert the original 'bed 5' data to bed 9+2 with perl script: ./toUcsc.pl ClinGen_haploinsufficiency_gene_GRCh37.bed \ | sort -k1,1 -k2,2n > haploInsufficiency.bed ./toUcsc.pl ClinGen_triplosensitivity_gene_GRCh37.bed \ | sort -k1,1 -k2,2n > triploSensitivity.bed # convert bed to bigBed: # using the dosSensitivity.as file: table doseSensitivity "ClinGen dosage sensitivity bed 9 plus original dosageScore" ( string chrom; "Chromosome (or contig, scaffold, etc.)" uint chromStart; "Start position in chromosome" uint chromEnd; "End position in chromosome" string name; "Name of item" uint score; "Score from 0-1000" char[1] strand; "+ or -" uint thickStart; "Start of where display should be thick (start codon)" uint thickEnd; "End of where display should be thick (stop codon)" uint itemRgb; "color indicates dosage score" string dosageScore; "dosage score from ClinGen" string mouseOver; "description for the score meaning" ) bedToBigBed -tab -type=bed9+2 -as=doseSensitivity.as \ haploInsufficiency.bed ../../chrom.sizes haploInsufficiency.bb bedToBigBed -tab -type=bed9+2 -as=doseSensitivity.as \ triploSensitivity.bed ../../chrom.sizes triploSensitivity.bb # measure data in bigBed files: bigBedInfo haploInsufficiency.bb | sed -e 's/^/# /;' # version: 4 # fieldCount: 11 # hasHeaderExtension: yes # isCompressed: yes # isSwapped: 0 # extraIndexCount: 0 # itemCount: 1,396 # primaryDataSize: 42,693 # primaryIndexSize: 6,388 # zoomLevels: 6 # chromCount: 24 # basesCovered: 160,842,763 # meanDepth (of bases covered): 1.001796 # minDepth: 1.000000 # maxDepth: 2.000000 # std of depth: 0.042340 bigBedInfo triploSensitivity.bb | sed -e 's/^/# /;' # version: 4 # fieldCount: 11 # hasHeaderExtension: yes # isCompressed: yes # isSwapped: 0 # extraIndexCount: 0 # itemCount: 1,396 # primaryDataSize: 39,932 # primaryIndexSize: 6,388 # zoomLevels: 6 # chromCount: 24 # basesCovered: 160,842,763 # meanDepth (of bases covered): 1.001796 # minDepth: 1.000000 # maxDepth: 2.000000 # std of depth: 0.042340 # symlinks to /gbdb/hg19: ln -s `pwd`/haploInsufficiency.bb \ /gbdb/hg19/doseSensitivity/clinGenHaploInsufficiency.bb ln -s `pwd`/triploSensitivity.bb \ /data/hg19/doseSensitivity/clinGenTriploSensitivity.bb # trackDb composite perhaps in ClinVar CNVs composite ############################################################################## # NCBI ReMap alignments (DONE 2020-02-11 Angie) # RM 24449 mkdir /hive/data/genomes/hg19/bed/chainHg38ReMap cd /hive/data/genomes/hg19/bed/chainHg38ReMap wget ftp://ftp.ncbi.nlm.nih.gov/pub/remap/Homo_sapiens/current/GCF_000001405.25_GRCh37.p13/GCF_000001405.39_GRCh38.p13/GCF_000001405.25-GCF_000001405.39.gff # We will need to substitute all the RefSeq chrom and contig IDs with our own names. # The same alt contig can appear in both assemblies with the same name, so replace # hg38 names at the beginning of the line and hg19 names after "Target=". hgsql hg38 -NBe 'select alias, chrom from chromAlias where find_in_set("refseq", source)' \ | sed -re 's/\./\\./;' \ | awk '{print "s/^" $1 "\\b/" $2 "/;";}' \ > hg19.hg38.chromAlias.sed hgsql hg19 -NBe 'select alias, chrom from chromAlias where find_in_set("refseq", source)' \ | sed -re 's/\./\\./;' \ | awk '{print "s/Target=" $1 "\\b/Target=" $2 "/;";}' \ >> hg19.hg38.chromAlias.sed sed -f hg19.hg38.chromAlias.sed GCF_000001405.25-GCF_000001405.39.gff \ | gff3ToPsl -dropQ /hive/data/genomes/{hg38,hg19}/chrom.sizes stdin stdout \ | pslPosTarget stdin stdout \ | sort -k14,14 -k16n,16n > remap.hg19.hg38.psl # Convert to chain for browser display. Some of the remap chains have minScore < 1000 and # by default would be dropped by chainScore... use -minScore=0 to prevent that. time pslToChain remap.hg19.hg38.psl stdout \ | chainScore -minScore=0 stdin /hive/data/genomes/{hg19/hg19.2bit,hg38/hg38.2bit} \ remap.hg19.hg38.chain #real 5m55.241s hgLoadChain hg19 -tIndex chainHg38ReMap remap.hg19.hg38.chain #Loading 5315 chains into hg19.chainHg38ReMap # Chaining the ReMap alignments makes it a lot easier to see when separate alignments # to the same sequence are in the same order and orientation. time axtChain -psl -linearGap=medium -verbose=0 remap.hg19.hg38.psl \ /hive/data/genomes/hg19/hg19.2bit /hive/data/genomes/hg38/hg38.2bit \ remap.axtChain.hg19.hg38.chain #real 1m41.773s hgLoadChain hg19 -tIndex chainHg38ReMapAxtChain remap.axtChain.hg19.hg38.chain #Loading 2141 chains into hg19.chainHg38ReMapAxtChain ############################################################################## # gnomAD Structural Variants v2.1 - ChrisL # Redmine #24179 cd /hive/data/outside/gnomAD.2/ mkdir structuralVariants gsutil cp gs://gnomad-public/papers/2019-sv/gnomad_v2.1_sv.*.bed* . gsutil cp gs://gnomad-public/papers/2019-sv/gnomad_v2.1_sv.*.vcf* . for f in *.bed.gz; do out=${f/.bed.gz/}; zcat $f | tail -n +2 | cut -f1-4,18-28,31,32,36-38,41-42 | tawk '{$1="chr"$1; print $0}'> $out.bed4Plus; done # variant types: zcat gnomad_v2.1_sv.sites.bed.gz | cut -f32 | sort | uniq -c 52604 BND y 4778 CPX x 8 CTX y 169635 DEL x 49571 DUP x 109025 INS x 748 INV x 1108 MCNV x 1 SVTYPE # add colors based on gnomad website and get in to proper bed9+ for f in *.bed4Plus; do out=${f/.bed4Plus/}; bedClip -truncate $f $chromSizes stdout | ./gnomadSvToUcsc.awk | sort -k1,1 -k2,2n > $out.bed9Plus; done chromSizes=/hive/data/genomes/hg19/chrom.sizes for f in *.bed9Plus; do out=${f/.bed9Plus/}; bedToBigBed -tab -type=bed9+19 -as=gnomadSv.as -extraIndex=name $f $chromSizes $out.bb; done mkdir -p /gbdb/hg19/gnomAD/structuralVariants/ cd /gbdb/hg19/gnomAD/structuralVariants/ cp -s /hive/data/outside/gnomAD.2/structuralVariants/*.bb . ############################################################################## # NCBI regions that are problematic for sequencing, Mon Nov 18 05:06:17 PST 2019, Max mkdir /hive/data/genomes/hg19/bed/specialRegions/orig cd /hive/data/genomes/hg19/bed/specialRegions/orig # download and convert to Excel wget ftp://ftp.ncbi.nlm.nih.gov/variation/get-rm/highly_homologous_genes/Table_S1_List1_NGS_Dead_Zone_exon_level.xlsx wget ftp://ftp.ncbi.nlm.nih.gov/variation/get-rm/highly_homologous_genes/Table_S2_List2_NGS_Problem_List_High_Stringency_exon_level.xlsx wget ftp://ftp.ncbi.nlm.nih.gov/variation/get-rm/highly_homologous_genes/Table_S3_List3_NGS_Problem_List_Low_Stringency_exon_level.xlsx wget ftp://ftp.ncbi.nlm.nih.gov/variation/get-rm/highly_homologous_genes/Table_S4_List4_Sanger_Dead_Zone_exon_level.xlsx in2csv Table_S1_List1_NGS_Dead_Zone_exon_level.xlsx | csvformat -T > Table_S1_List1_NGS_Dead_Zone_exon_level.tsv in2csv Table_S2_List2_NGS_Problem_List_High_Stringency_exon_level.xlsx | csvformat -T > Table_S2_List2_NGS_Problem_List_High_Stringency_exon_level.tsv in2csv Table_S3_List3_NGS_Problem_List_Low_Stringency_exon_level.xlsx | csvformat -T > Table_S3_List3_NGS_Problem_List_Low_Stringency_exon_level.tsv in2csv Table_S4_List4_Sanger_Dead_Zone_exon_level.xlsx | csvformat -T > Table_S4_List4_Sanger_Dead_Zone_exon_level.tsv cd .. # tabToBed is from https://github.com/maximilianh/maxtools tabToBed orig/Table_S1_List1_NGS_Dead_Zone_exon_level.tsv bed/deadZone.bed as/deadZone.as -t bed3+ bedToBigBed -tab bed/deadZone.bed /hive/data/genomes/hg19/chrom.sizes bb/deadZone.bb -tab -type=bed3+ -as=as/deadZone.as tabToBed orig/Table_S2_List2_NGS_Problem_List_High_Stringency_exon_level.tsv bed/ngsProblemHigh.bed as/ngsProblemHigh.as -t bed3+ bedToBigBed -tab bed/ngsProblemHigh.bed /hive/data/genomes/hg19/chrom.sizes bb/ngsProblemHigh.bb -tab -type=bed3+ -as=as/ngsProblemHigh.as tabToBed orig/Table_S3_List3_NGS_Problem_List_Low_Stringency_exon_level.tsv bed/ngsProblemLow.bed as/ngsProblemLow.as -t bed3+ bedToBigBed -tab bed/ngsProblemLow.bed /hive/data/genomes/hg19/chrom.sizes bb/ngsProblemLow.bb -tab -type=bed3+ -as=as/ngsProblemLow.as tabToBed orig/Table_S4_List4_Sanger_Dead_Zone_exon_level.tsv bed/sangerDeadZone.bed as/sangerDeadZone.as -t bed3+ bedToBigBed -tab bed/sangerDeadZone.bed /hive/data/genomes/hg19/chrom.sizes bb/sangerDeadZone.bb -tab -type=bed3+ -as=as/sangerDeadZone.as # the GIAB BED filter files cd orig wget ftp://ftp-trace.ncbi.nih.gov/giab/ftp/data/NA12878/analysis/NIST_union_callsets_06172013/VQSRv2.18_filterABQD.bed.gz wget ftp://ftp-trace.ncbi.nih.gov/giab/ftp/data/NA12878/analysis/NIST_union_callsets_06172013/VQSRv2.18_filterAlign.bed.gz wget ftp://ftp-trace.ncbi.nih.gov/giab/ftp/data/NA12878/analysis/NIST_union_callsets_06172013/VQSRv2.18_filterConflicting.bed.gz wget ftp://ftp-trace.ncbi.nih.gov/giab/ftp/data/NA12878/analysis/NIST_union_callsets_06172013/VQSRv2.18_filterCov.bed.gz wget ftp://ftp-trace.ncbi.nih.gov/giab/ftp/data/NA12878/analysis/NIST_union_callsets_06172013/VQSRv2.18_filterHapNoVar.bed.gz wget ftp://ftp-trace.ncbi.nih.gov/giab/ftp/data/NA12878/analysis/NIST_union_callsets_06172013/VQSRv2.18_filterMap.bed.gz wget ftp://ftp-trace.ncbi.nih.gov/giab/ftp/data/NA12878/analysis/NIST_union_callsets_06172013/VQSRv2.18_filterSSE.bed.gz wget ftp://ftp-trace.ncbi.nih.gov/giab/ftp/data/NA12878/analysis/NIST_union_callsets_06172013/VQSRv2.18_filterlt2Datasets.bed.gz gunzip *.gz cd .. for i in orig/*.bed; do out=`echo $i | sed -e 's|orig/VQSRv2.18_||g'`; out=`basename $out .bed`; echo $out; chromToUcsc -a hg19.chromAlias.tsv -i $i -o bed/$out.bed; done for i in bed/filter*.bed; do echo $i; bedSort $i $i; bedToBigBed $i /hive/data/genomes/hg19/chrom.sizes bb/`basename $i .bed`.bed -type=bed3; done cd /gbdb/hg19/bbi/special; for i in /hive/data/genomes/hg19/bed/specialRegions/bb/filter*.bb; do ln -s $i; done bedSort orig/hg19-blacklist.v2.bed orig/hg19-blacklist.v2.bed bedToBigBed orig/hg19-blacklist.v2.bed /hive/data/genomes/hg19/chrom.sizes bb/encBlacklist.bb -tab ############################################################################# # GTEx V8 (April 2020) Kate # Create BED from hgFixed tables (see doc/gtex) cd /hive/data/outside/gtex/V8/rnaSeq # Lift GTEx LDACC gene models (GENCODE V26 isoforms collapsed to single gene model) from hg38 annotation by GTEx LDACC set chain = /hive/data/genomes/hg38/bed/liftOver/hg38ToHg19.over.chain.gz liftOver -genePred gencodeV26.hg38.genePred $chain gencodeV26.hg19.lifted.genePred \ gencodeV26.hg19.unmapped # 1300 gencodeV26.hg19.unmapped # (was 925 in V6 lift hg19 to hg38) # TODO: Consider transmap hgLoadGenePred hg19 gtexGeneModelV8 gencodeV26.hg19.lifted.genePred # Load BED table cd /hive/data/genomes/hg19/bed/gtex mkdir -p V8 cd V8 set gencode = V26lift37 ~/kent/src/hg/makeDb/outside/hgGtexGeneBed/hgGtexGeneBed \ hg19 -noLoad -gtexVersion=V8 -gencodeVersion=$gencode gtexGeneV8 -verbose=2 >&! log.txt & # Max score: 267400.000000 wc -l gtexGeneV8.tab #54481 gtexGeneV8.tab # 1070 genes not found in GencodeAttrs table # e.g. Can't find geneId ENSG00000278267 in wgEncodeGencodeAttrsV26lift37 #from Ensembl page for MIR6859-1: #Stable ID ENSG00000278267 not present in GRCh37. # 650 genes not found in modelHash # e.g. Can't find gene ENSG00000279928.2 in modelHash # From Ensembl Gene: FO538757.1 ENSG00000279928 There is no ungapped mapping of this gene onto the GRCh37 assembly. Stable ID ENSG00000279928 not present in GRCh37. #Max score: 219385.906250 wc -l gtexGeneV8.tab # 54481 gtexGeneV8.tab # 55393 gtexGeneV6.tab # Add scores (see hg38/gtex.txt for background) set bedScore = ~/kent/src/utils/bedScore/bedScore $bedScore -col=10 -minScore=0 -log -method=encode gtexGeneV8.tab gtexGeneBedV8.bed textHistogram -real -autoScale=14 -log -col=5 gtexGeneBedV8.bed 0.000000 ************************************************************ 20189 71.428643 **************************************************** 5512 142.857286 **************************************************** 5401 214.285929 *************************************************** 4587 285.714571 *************************************************** 4399 357.143214 *************************************************** 4672 428.571857 **************************************************** 5390 500.000500 ************************************************* 3073 571.429143 ***************************************** 904 642.857786 ********************************* 248 714.286429 *************************** 80 785.715071 ************** 10 857.143714 ******** 4 928.572357 *************** 12 # table looks OK, load it set lib = ~/kent/src/hg/lib hgLoadBed hg19 -noBin -tab -type=bed6+4 \ -as=$lib/gtexGeneBed.as -sqlTable=$lib/gtexGeneBed.sql -renameSqlTable \ gtexGeneV8 gtexGeneBedV8.bed # Read 54481 elements of size 10 from gtexGeneBedV8.bed # TODO: Add to gene sorter ############################################################################# # Build ncbiRefSeqGenomicDiff (DONE - 2020-06-10 - Hiram) mkdir /hive/data/genomes/hg19/bed/ncbiRefSeqAnomalies.p13 cd /hive/data/genomes/hg19/bed/ncbiRefSeqAnomalies.p13 db=hg19 pre=ncbiRefSeqGenomicDiff buildDir=/hive/data/genomes/hg19/bed/ncbiRefSeq.p13.2020-01-21 asmId=GCF_000001405.25_GRCh37.p13 time (zcat $buildDir/process/$asmId.rna.cds.gz \ | egrep '[0-9]+\.\.[0-9]+' \ | pslMismatchGapToBed -cdsFile=stdin -db=$db -ignoreQNamePrefix=X \ $buildDir/process/$asmId.$db.psl.gz \ /hive/data/genomes/$db/$db.2bit \ $buildDir/$db.rna.fa \ $pre) # pslMismatchGapToBed: NM_001365372.1 gapIx 9 shifted right 74 bases, but next block size is only 38; report to NCBI # pslMismatchGapToBed: NM_001288811.1 gapIx 1 shifted left 6 bases, but previous block size is only 5; report to NCBI # real 0m21.265s bedToBigBed -type=bed9+ -tab -as=$HOME/kent/src/hg/lib/txAliDiff.as $pre.bed \ /hive/data/genomes/$db/chrom.sizes $pre.bb # pass1 - making usageList (180 chroms): 77 millis # pass2 - checking and writing primary data (27362 records, 20 fields): 234 millis ln -sf `pwd`/$pre.bb /gbdb/hg19/ncbiRefSeq/$pre.bb ############################################################################# # clinvarSubLolly track DONE BRANEY 12/14/2020 mkdir /cluster/data/hg19/bed/clinvarSubLolly cd /cluster/data/hg19/bed/clinvarSubLolly bigBedToBed /gbdb/hg19/bbi/clinvar/clinvarMain.bb stdout | tawk '{print $40, $1,$2,$2+1,$4}' | sort -S 40g > sort.main.bed hgsql hg19 -Ne "select varId,clinSign,scv from clinvarSub" | sort -S 40g > clinvarSubSub.txt join -t $'\t' sort.main.bed clinvarSubSub.txt | tawk '{print $2,$3,$4,$5,$6,$1, $7}' | sort -S 40g -k1,1 -k2,2n -k5,5 | tawk -f makeFranklin | tawk -f assignColors > tmp1 # add the line break after v409 #tawk '{print $1":"$2 + 1"-"$3" <br>Variants (submissions):"$11}' tmp1 > tmp2 tawk '{print $1":"$2 + 1"-"$3" Variants (submissions):"$11}' tmp1 > tmp2 paste tmp1 tmp2 > bigBedInput.bed bedToBigBed -as=$HOME/kent/src/hg/lib/clinvarSubLolly.as -type=bed9+5 -tab bigBedInput.bed /cluster/data/hg19/chrom.sizes clinvarSubLolly.bb mkdir -p /gbdb/hg19/clinvarSubLolly ln -s `pwd`/clinvarSubLolly.bb /gbdb/hg19/clinvarSubLolly/clinvarSubLolly.bb bigBedToBed /gbdb/hg19/bbi/clinvar/clinvarMain.bb stdout | tawk '{print $40, $1,$2,$2+1,$4,$13,$15,$18,$19}' | sort -S 40g > sort.main.bed hgsql hg19 -Ne "select * from clinvarSub" | sort -S 40g > clinvarSubSub.txt join -t $'\t' sort.main.bed clinvarSubSub.txt | tawk '{print $2,$3,$4,$5,0,"+",0,0,"0,0,0",$6,$20,$8, $9,$1,$10,$7,$11,$12,$13,$14,$15,$16,$17,$18,$19,$21}' | sort -S 40g -k1,1 -k2,2n | tawk -f assignScore > bigBedInput.bed bedToBigBed -as=clinvarSubBB.as -type=bed9+11 -tab bigBedInput.bed /cluster/data/hg19/chrom.sizes clinvarSub.bb ln -s `pwd`/clinvarSub.bb /gbdb/hg19/clinvarSubLolly/clinvarSub.bb ############################################################################# # Trios for Genome In a Bottle - DONE 08/04/2020 ChrisL # see ~/kent/src/hg/makeDb/giab/make.txt ############################################################################# # COVID GWAS from COVID-19 Host Genetics Initiative Sep 2020 Kate # see ~kent/src/hg/makeDb/doc/covid/covidHgiGwas.txt ############################################################################# # gnomAD PEXT scores # PEXT data: # The baselevel is the sum of the expression value for all transcripts touching that base # The annotation-level is the sum of the expression of transcripts on which a variant has a # given annotation # download the pext data: wget https://storage.googleapis.com/gnomad-public/papers/2019-tx-annotation/pre_computed/all.possible.snvs.tx_annotated.GTEx.v7.021520.tsv.bgz wget https://storage.googleapis.com/gnomad-public/papers/2019-tx-annotation/gnomad_browser/all.baselevel.021620.tsv.bgz # these files are humongous even with compression: ls -lh all.* -rw-rw-r-- 1 chmalee genecats 307M Apr 8 21:54 all.baselevel.021620.tsv.bgz -rw-rw-r-- 1 chmalee genecats 6.7G Feb 14 2020 all.possible.snvs.tx_annotated.GTEx.v7.021520.tsv.bgz # how large are these files? time zcat all.base* | wc -l 35305149 real 1m11.964s user 1m8.725s sys 0m10.385s # this is theoretically all coding bases in gencode v19, split by tissue then run buildPext.py to # make one bigWig per tissue: mkdir run seq 4 57 | parallel -j10 'zcat all.baselevel.021620.tsv.bgz | cut -f1-3,{} | gzip -c > run/tissue{}.pext.gz' # overlapping exons in coding regions causes problems, don't output any scores # for those regions seq 4 57 | parallel --joblog run.log -j20 './buildPext.py run/tissue{}.pext.gz -o split' tail -n +2 run.log | cut -f4 | awk '{sum += $1}END{print sum/NR}' 452.034 # Turn into bigWigs: find split/ -name "*.bed" | parallel -j15 'sort -k1,1 -k2,2n {} | cut -f1-3,5 > {.}.bedGraph' find split/ -name "*.bedGraph" | parallel -j15 'bedGraphToBigWig {} /hive/data/genomes/hg19/chrom.sizes {.}.bw' mkdir -p /gbdb/hg19/gnomAD/pext ln -s `pwd`/split/*.bw /gbdb/hg19/gnomAD/pext/ ############################################################################# # update 2020-10-27 (DONE - Hiram - 2020-10-27) mkdir /hive/data/genomes/hg19/bed/ncbiRefSeq.p13.2020-10-27 cd /hive/data/genomes/hg19/bed/ncbiRefSeq.p13.2020-10-27 time (~/kent/src/hg/utils/automation/doNcbiRefSeq.pl -buildDir=`pwd` \ -bigClusterHub=ku -dbHost=hgwdev \ -fileServer=hgwdev -smallClusterHub=hgwdev -workhorse=hgwdev \ GCF_000001405.25_GRCh37.p13 hg19) > do.log 2>&1 & # real 6m47.005s cat fb.ncbiRefSeq.hg19.txt # 93720294 bases of 2991710746 (3.133%) in intersection ############################################################################# # test update 2021-05-17 (DONE - Hiram - 2021-05-17) mkdir /hive/data/genomes/hg19/bed/ncbiRefSeq.p13.2021-05-17 cd /hive/data/genomes/hg19/bed/ncbiRefSeq.p13.2021-05-17 time (~/kent/src/hg/utils/automation/doNcbiRefSeq.pl -buildDir=`pwd` \ -bigClusterHub=ku -dbHost=hgwdev \ -fileServer=hgwdev -smallClusterHub=hgwdev -workhorse=hgwdev \ GCF_000001405.25_GRCh37.p13 hg19) > do.log 2>&1 & # real 7m42.506s cat fb.ncbiRefSeq.hg19.txt # 95470885 bases of 2991710746 (3.191%) in intersection ############################################################################# # Covid-19 rare mutations, Max, Fri Oct 30 08:40:34 PDT 2020 # received table from qzhang02@rockefeller.edu, wrote to UCSC.txt cd /hive/data/genomes/hg19/bed/covidMuts/ dos2unix UCSC.txt cat UCSC.txt | tawk '{$1="chr"$1; chrom=$1; start=$2; rsId=$3; ref=$4; alt=$5; zygo=$6; gene=$7; genotype=$8; inh=$9; end=$2+length(ref); print chrom, start, end, ref">"alt, "0", ".", start, end, "0,0,0", "1", length(ref), "0", ref, alt, rsId, zygo, gene, genotype, inh;}' | grep -v chrchr > covidMuts.bed bedSort covidMuts.bed covidMuts.bed bedToBigBed -tab covidMuts.bed ../../chrom.sizes covidMuts.bb -as=../../hg19/bed/covidMuts/covidMuts.as -type=bed12+ <<<<<<< Updated upstream ############################################################################# # gnomAD v2.1.1 update, ChrisL 12-2-2020 ############################################################################# # See /hive/data/inside/gnomAD/v2.1.1/run.sh for more information, listed # here are the important steps: WORKDIR=/hive/data/inside/gnomAD/v2.1.1/ cd $WORKDIR db="hg19" cd $db time parallel -j15 --joblog exomes.run.log --plus "vcfToBed -fields=${fields} {} exomes/{/..}.bed" ::: /hive/data/outside/gnomAD.2/v2.1.1/exomes/*.bgz # real 16m42.939s # user 172m26.966s # sys 1m41.186s # now turn into a single bed time cat hg19/exomes/*.bed | ./gnomadVcfBedToBigBed stdin stdout | sort -k1,1 -k2,2n > gnomad.v2.1.1.exomes.bed # real 21m44.331s # user 20m24.018s # sys 3m5.405s time bedToBigBed -type=bed9+50 -tab -as=exomes.as gnomad.v2.1.1.exomes.bed /hive/data/genomes/hg19/chrom.sizes exomes.bb # pass1 - making usageList (24 chroms): 11485 millis # pass2 - checking and writing primary data (17209972 records, 57 fields): 339555 millis # # real 6m45.792s # user 6m7.880s # sys 0m11.924s # same for genomes cd $db time parallel -j15 --joblog genomes.run.log --plus "vcfToBed -fields=${fields} {} genomes/{/..}.bed" ::: /hive/data/outside/gnomAD.2/v2.1.1/genomes/*.bgz # real 134m40.184s # user 1559m44.664s # sys 12m0.858s cd .. time cat hg19/genomes/*.bed | ./gnomadVcfBedToBigBed stdin stdout | sort -k1,1 -k2,2n > gnomad.v2.1.1.genomes.bed # real 199m48.619s # user 186m49.769s # sys 29m12.841s # now South Asian variants in the genomes file, change type: time bedToBigBed -type=bed9+47 -tab -as=genomes.as gnomad.v2.1.1.genomes.bed /hive/data/genomes/hg19/chrom.sizes genomes.bb # pass1 - making usageList (23 chroms): 165336 millis # pass2 - checking and writing primary data (253556152 records, 55 fields): 4909106 millis # # real 89m3.165s # user 86m41.554s # sys 2m15.722s ############################################################################# # LASTZ Cow bosTau9 (ONE - 2020-12-07 - Hiram) mkdir /hive/data/genomes/hg19/bed/lastzBosTau9.2020-12-07 cd /hive/data/genomes/hg19/bed/lastzBosTau9.2020-12-07 printf '# human vs Cow BLASTZ=/cluster/bin/penn/lastz-distrib-1.04.03/bin/lastz BLASTZ_T=2 BLASTZ_O=400 BLASTZ_E=30 BLASTZ_M=254 # default BLASTZ_Q score matrix: # A C G T # A 91 -114 -31 -123 # C -114 100 -125 -31 # G -31 -125 100 -114 # T -123 -31 -114 91 # TARGET: human hg19 SEQ1_DIR=/hive/data/genomes/hg19/hg19.2bit SEQ1_LEN=/hive/data/genomes/hg19/chrom.sizes SEQ1_CHUNK=20000000 SEQ1_LAP=10000 # QUERY: Cow bosTau9 SEQ2_DIR=/hive/data/genomes/bosTau9/bosTau9.2bit SEQ2_LEN=/hive/data/genomes/bosTau9/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LIMIT=10 SEQ2_LAP=0 BASE=/hive/data/genomes/hg19/bed/lastzBosTau9.2020-12-07 TMPDIR=/dev/shm ' > DEF time (doBlastzChainNet.pl `pwd`/DEF -verbose=2 \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=hgwdev -bigClusterHub=ku \ -syntenicNet) > do.log 2>&1 # real 239m35.175s cat fb.hg19.chainBosTau9Link.txt # 1407432462 bases of 2991710746 (47.044%) in intersection cat fb.hg19.chainSynBosTau9Link.txt # 1354159575 bases of 2991710746 (45.264%) in intersection time (doRecipBest.pl -load -workhorse=hgwdev -buildDir=`pwd` hg19 bosTau9) > rbest.log 2>&1 & # real 274m55.811s sed -e 's/^/ # /;' fb.hg19.chainRBest.BosTau9.txt # 1290531802 bases of 2991710746 (43.137%) in intersection # running the swap mkdir /hive/data/genomes/bosTau9/bed/blastz.hg19.swap cd /hive/data/genomes/bosTau9/bed/blastz.hg19.swap time (doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzBosTau9.2020-12-07/DEF \ -swap -syntenicNet -workhorse=hgwdev \ -smallClusterHub=hgwdev -bigClusterHub=ku \ -chainMinScore=3000 -chainLinearGap=medium) > swap.log 2>&1 # real 72m28.826s cat fb.bosTau9.chainHg19Link.txt # 1342159887 bases of 2715853792 (49.419%) in intersection cat fb.bosTau9.chainSynHg19Link.txt # 1305558878 bases of 2715853792 (48.072%) in intersection time (doRecipBest.pl -load -workhorse=hgwdev -buildDir=`pwd` bosTau9 hg19) > rbest.log 2>&1 & # real 297m58.059s sed -e 's/^/ # /;' fb.bosTau9.chainRBest.Hg19.txt # 1291348753 bases of 2715853792 (47.549%) in intersection ############################################################################# # Exome Probesets composite track # Tue Jan 5 02:25:06 PST 2021 Made by Ana, Tiana, Pranav, Beagan, reviewed and committed by Max # Download data for hg19: cd /hive/data/genomes/hg19/bed/exomeProbesets We made tracks for the main Exome Kit Vendors: IDT, Twist Biosciences, MGI, Agilent, Roche, and Illumina. Note: IDT, Agilent and Roche have bed files for the Probes and for the Target Regions. Twist, MGI, and Illumina have bed files for the Target Regions (but not for Probes). Data downloaded in my windows desktop and copied to hgwdev: scp <file.bed> ana@hgwdev.gi.ucsc.edu://hive/data/genomes/hg19/bed/exonArrays/raw/idt # IDT Datasets: Track: IDT - xGen Exome Research Panel Probes Download: https://sfvideo.blob.core.windows.net/sitefinity/docs/default-source/supplementary-product-info/xgen-exome-research-panel-probesbe255a1532796e2eaa53ff00001c1b3c.bed?sfvrsn=425c3407_7&download=true File name: xgen-exome-research-panel-probes-hg19.bed Track: IDT - xGen Exome Research Panel Target Regions Download: https://sfvideo.blob.core.windows.net/sitefinity/docs/default-source/supplementary-product-info/xgen-exome-research-panel-targetsae255a1532796e2eaa53ff00001c1b3c.bed?sfvrsn=435c3407_7&download=true File name: xgen-exome-research-panel-targets-hg19.bed Track: IDT - xGen Exome Research Panel V2 Probes Download: https://sfvideo.blob.core.windows.net/sitefinity/docs/default-source/supplementary-product-info/xgen-exome-research-panel-v2-probes-hg1952a5791532796e2eaa53ff00001c1b3c.bed?sfvrsn=1dd1707_6&download=true File name: xgen-exome-research-panel-v2-probes-hg19.bed Track: IDT - xGen Exome Research Panel V2 Target Regions Download: https://sfvideo.blob.core.windows.net/sitefinity/docs/default-source/supplementary-product-info/xgen-exome-research-panel-v2-targets-hg1902a5791532796e2eaa53ff00001c1b3c.bed?sfvrsn=6dd1707_10&download=true File name: xgen-exome-research-panel-v2-targets-hg19.bed # Twist Biosciences Datasets: Track: Twist - RefSeq Exome Panel Target Regions Download: https://www.twistbioscience.com/sites/default/files/resources/2019-09/Twist_Exome_RefSeq_targets_hg19_0.bed File name: Twist_Exome_RefSeq_targets_hg19_0.bed Track: Twist - Core Exome Panel Target Regions Download: https://www.twistbioscience.com/sites/default/files/resources/2018-09/Twist_Exome_Target_hg19.bed File name: Twist_Exome_Target_hg19.bed Track: Twist - Comprehensive Exome Panel Target Regions Download: https://www.twistbioscience.com/sites/default/files/resources/2020-09/Twist_ComprehensiveExome_targets_hg19.bed File name: Twist_ComprehensiveExome_targets_hg19.bed Track: Twist - Exome 2.1 Download: curl https://www.twistbioscience.com/sites/default/files/resources/2021-10/hg38_Twist_exome_2_1_annotated_targets.bed | cut -f1-3 > TwistExome21.bed bedToBigBed TwistExome21.bed ../../chrom.sizes TwistExome21.bb -type=bed3 # Updated on Feb 1, 2021 (max): got a corrected file from Tina Han <than@twistbioscience.com> To stay consistent, I kept the original filename TwistExome21.bb even though this is not the 2.1 version anymore. Confusing, Twist went from 2.0 to 2.1 and then to 2.0.1 (!!) So 2.0.1 is more recent than 2.1. Original filename from Tina was: hg19_exome_v2.0.2_targets_sorted_validated.annotated.bed.gz mv TwistExome21.bb TwistExome21.old.bb cut TwistExome202.bed -f1-3 > TwistExome202.cut.bed bedToBigBed TwistExome202.cut.bed ../../chrom.sizes TwistExome21.bb -type=bed3 # MGI Datasets: Track: MGI - Easy Exome Capture V4 Target Regions Download: https://en.mgitech.cn/Uploads/Temp/file/20191225/5e03126e808a0.zip File name: MGI_Exome_Capture_V4.bed Track: MGI - Easy Exome Capture V5 Target Regions Download: https://en.mgitech.cn/Uploads/Temp/file/20191225/5e0312a7be43e.zip File name: MGI_Exome_Capture_V5.bed # Agilent Datasets: Download for all Agilent files: https://earray.chem.agilent.com/suredesign/ - Password needed (from Ana) to get them: go to https://earray.chem.agilent.com/suredesign/ then select Find Designs -> CGH -> Agilent Catalog (HT to Daniel) Track: Agilent - SureSelect Clinical Research Exome Covered by Probes File name: S06588914_Covered.bed Track: Agilent - SureSelect Clinical Research Exome Target Regions File name: S06588914_Regions.bed Track: Agilent - SureSelect Clinical Research Exome V2 Covered by Probes File name: S30409818_Covered.bed Track: Agilent - SureSelect Clinical Research Exome V2 Target Regions File name: S30409818_Regions.bed Track: Agilent - SureSelect Focused Exome Covered by Probes File name: S07084713_Covered.bed Track: Agilent - SureSelect Focused Exome Target Regions File name: S07084713_Regions.bed Track: Agilent - SureSelect All Exon V4 Covered by Probes File name: S03723314_Covered.bed Track: Agilent - SureSelect All Exon V4 Target Regions File name: S03723314_Regions.bed Track: Agilent - SureSelect All Exon V4 + UTRs Covered by Probes File name: S03723424_Covered.bed Track: Agilent - SureSelect All Exon V4 + UTRs Target Regions File name: S03723424_Regions.bed Track: Agilent - SureSelect All Exon V5 Covered by Probes File name: S04380110_Covered.bed Track: Agilent - SureSelect All Exon V5 Target Regions File name: S04380110_Regions.bed Track: Agilent - SureSelect All Exon V5 + UTRs Covered by Probes File name: S04380219_Covered.bed Track: Agilent - SureSelect All Exon V5 + UTRs Target Regions File name: S04380219_Regions.bed Track: Agilent - SureSelect All Exon V6 r2 Covered by Probes File name: S07604514_Covered.bed Track: Agilent - SureSelect All Exon V6 r2 Target Regions File name: S07604514_Regions.bed Track: Agilent - SureSelect All Exon V6 + COSMIC r2 Covered by Probes File name: S07604715_Covered.bed Track: Agilent - SureSelect All Exon V6 + COSMIC r2 Target Regions File name: S07604715_Regions.bed Track: Agilent - SureSelect All Exon V6 + UTR r2 Covered by Probes File name: S07604624_Covered.bed Track: Agilent - SureSelect All Exon V6 + UTR r2 Target Regions File name: S07604624_Regions.bed Track: Agilent - SureSelect All Exon V7 Covered by Probes File name: S31285117_Covered.bed Track: Agilent - SureSelect All Exon V7 Target Regions File name: S31285117_Regions.bed # Roche Datasets: Track: Roche - KAPA HyperExome Capture Probe Footprint Download: https://sequencing.roche.com/content/dam/rochesequence/worldwide/design-files/KAPA%20HyperExome%20Design%20files%20hg19.zip File name: KAPA_HyperExome_hg19_capture_targets.bed Track: Roche - KAPA HyperExome Primary Target Regions Download: https://sequencing.roche.com/content/dam/rochesequence/worldwide/design-files/KAPA%20HyperExome%20Design%20files%20hg19.zip File name: KAPA_HyperExome_hg19_primary_targets.bed Track: Roche - SeqCap EZ Exome V3 Capture Probe Footprint Download: https://sequencing.roche.com/content/dam/rochesequence/worldwide/shared-designs/SeqCapEZ_Exome_v3.0_Design_Annotation_files.zip File name: SeqCap_EZ_Exome_v3_hg19_capture_targets.bed Track: Roche - SeqCap EZ Exome V3 Primary Target Regions Download: https://sequencing.roche.com/content/dam/rochesequence/worldwide/shared-designs/SeqCapEZ_Exome_v3.0_Design_Annotation_files.zip File name: SeqCap_EZ_Exome_v3_hg19_primary_targets.bed Track: Roche - SeqCap EZ Exome V3 + UTR Capture Probe Footprint Download: https://sequencing.roche.com/content/dam/rochesequence/worldwide/shared-designs/Exome_UTR_Design_Annotation_Files.zip File name: SeqCap_EZ_ExomeV3_Plus_UTR_hg19_capture_annotated.bed Track: Roche - SeqCap EZ Exome V3 + UTR Primary Target Regions Download: https://sequencing.roche.com/content/dam/rochesequence/worldwide/shared-designs/Exome_UTR_Design_Annotation_Files.zip File name: SeqCap_EZ_ExomeV3_Plus_UTR_hg19_primary_annotated.bed Track: Roche - SeqCap EZ MedExome Capture Probe Footprint Download: https://sequencing.roche.com/content/dam/rochesequence/worldwide/shared-designs/MedExome_design_files.zip File name: SeqCap_EZ_MedExome_hg19_capture_targets.bed Track: Roche - SeqCap EZ MedExome Empirical Target Regions Download: https://sequencing.roche.com/content/dam/rochesequence/worldwide/shared-designs/MedExome_design_files.zip File name: SeqCap_EZ_MedExome_hg19_empirical_targets.bed Track: Roche - SeqCap EZ MedExome + Mito Capture Probe Footprint Download: https://sequencing.roche.com/content/dam/rochesequence/worldwide/shared-designs/MedExomePlusMito_design_files.zip File name: SeqCap_EZ_MedExomePlusMito_hg19_capture_targets.bed Track: Roche - SeqCap EZ MedExome + Mito Empirical Target Regions Download: https://sequencing.roche.com/content/dam/rochesequence/worldwide/shared-designs/MedExomePlusMito_design_files.zip File name: SeqCap_EZ_MedExomePlusMito_hg19_empirical_targets.bed # Illumina Datasets: Track: Illumina - Nextera DNA Exome V1.2 Target Regions Download: https://support.illumina.com/content/dam/illumina-support/documents/downloads/productfiles/nextera-dna-exome/nextera-dna-exome-targeted-regions-manifest-bed.zip File name: nextera-dna-exome-targeted-regions-manifest-v1-2.bed Track: Illumina - Nextera Rapid Capture Exome Target Regions Download: https://support.illumina.com/softwaredownload.html?assetId=d2c2bc7e-75e5-4f20-bfb7-780839390565&assetDetails=nexterarapidcapture_exome_targetedregions.bed - Password needed (from Ana) File name: nexterarapidcapture_exome_targetedregions.bed Track: Illumina - Nextera Rapid Capture Exome V1.2 Target Regions Download: https://support.illumina.com/softwaredownload.html?assetId=197e4b2b-161d-4576-a52f-1204833567c5&assetDetails=nexterarapidcapture_exome_targetedregions_v1.2.bed - Password needed (from Ana) File name: nexterarapidcapture_exome_targetedregions_v1.2.bed Track: Illumina - Nextera Rapid Capture Expanded Exome Target Regions Download: https://support.illumina.com/softwaredownload.html?assetId=f020d708-dad9-44e4-8c7c-439add28536c&assetDetails=nexterarapidcapture_expandedexome_targetedregions.bed - Password needed (from Ana) File name: nexterarapidcapture_expandedexome_targetedregions.bed Track: Illumina - TruSeq DNA Exome V1.2 Target Regions Download: https://support.illumina.com/content/dam/illumina-support/documents/downloads/productfiles/truseq/truseq-dna-exome/truseq-dna-exome-targeted-regions-manifest-v1-2-bed.zip File name: truseq-dna-exome-targeted-regions-manifest-v1-2.bed Track: Illumina - TruSeq Rapid Exome V1.2 Target Regions Download: https://support.illumina.com/content/dam/illumina-support/documents/downloads/productfiles/truseq/truseq-rapid-exome-targeted-regions-manifest-v1-2-bed.zip File name: truseq-rapid-exome-targeted-regions-manifest-v1-2.bed Track: Illumina - TruSight ONE V1.1 Target Regions Download: https://support.illumina.com/content/dam/illumina-support/documents/downloads/productfiles/trusight/trusight-one-file-for-ucsc-browser-v1-1.zip File name: TruSight_One_v1.1.bed Track: Illumina - TruSight ONE Expanded V2.0 Target Regions Download: https://support.illumina.com/content/dam/illumina-support/documents/downloads/productfiles/nextera/nextera-flex-for-enrichment/trusight-one-expanded-targeted-regions-v2-0.zip File name: TSOne_Expanded_Final_TargetedRegions_v2 Track: Illumina - TruSight Exome Target Regions Download: https://support.illumina.com/content/dam/illumina-support/documents/documentation/chemistry_documentation/trusight/trusight_exome_manifest_a.bed File name: trusight_exome_manifest_a.bed Track: Illumina - AmpliSeq Exome Panel Target Regions Download: https://support.illumina.com/content/dam/illumina-support/documents/downloads/productfiles/ampliseq-for-illumina/ampliseq-for-illumina-exome-panel-manifest-file-bed.zip File name: Exome.dna_manifest.20180509.bed # Converting bed files for hg19: All files were converted from bed to bigBed using the Genome Browser documentation. All of the files underwent the following steps, with the exception of a few files that are described below. (NOTE: the documentation includes a step to remove any header lines -- only a couple files had headers, and those were simply removed within vi/vim.) 1. Sort all bed files sort -k1,1 -k2,2n unsorted.bed > input.bed 2. fetchChromSizes (run once) fetchChromSizes hg19 > hg19.chrom.sizes Note: this only needs to be run once, since ione hg19.chrom.sizes files can be used for all bedToBigBed runs. 3. bedToBigBed for all files bedToBigBed input.bed hg19.chrom.sizes myBigBed.bb Here's an example using the MGI Exome Capture V4 file: sort -k1,1 -k2,2n MGI_Exome_Capture_V4.bed > sorted_MGI_Exome_Capture_V4.bed fetchChromSizes hg19 > hg19.chrom.sizes bedToBigBed sorted_MGI_Exome_Capture_V4.bed hg19.chrom.sizes MGI_Exome_Capture_V4.bb -- The following files from Roche had long entries in col4, causing these files to have rows that were too long for bedToBigBed. Therefore, all the input bed files had col4 cut. (Note: these were just the ensembl and ccds ids, which did not provide any other substantial information.) We ran the command > cut -f1,2,3 for all such files. Here's an example for the Roche - KAPA HyperExome Capture Probe: Footprint file: cut -f1,2,3 sorted-KAPA_HyperExome_hg19_capture_targets.bed > sorted-cut-KAPA_HyperExome_hg19_capture_targets.bed ############################################################################# # haploinsufficiency from DECIPHER - DONE 3/18/2021 Jonathan # Download latest predictions list from https://decipher.sanger.ac.uk/about/downloads/data mkdir -p /hive/data/outside/decipher/haploinsufficiency cd /hive/data/outside/decipher/haploinsufficiency wget https://decipher.sanger.ac.uk/files/downloads/HI_Predictions_Version3.bed.gz filePath=`pwd`/HI_Predictions_Version3.bed.gz # zcat | head shows the file is nearly ready to go, but could benefit from a bit of reorganization # (also floating point score values don't work for some bed processors) mkdir -p /hive/data/genomes/hg19/bed/decipherHaplo cd /hive/data/genomes/hg19/bed/decipherHaplo printf 'chomp; @fields = split /\t/; ($gene, $score, $pct) = split /\|/, $fields[3]; $fields[3] = $gene; $fields[4] = 0; $rgb = $fields[8]; $rgb =~ s/^(\d+),(\d+),0$/$1,$2,$1/; # change red/green to magenta/green $fields[8] = $rgb; push @fields, ($pct, $score); push @fields, ("$gene, HI: $pct"); print join ("\t", @fields) . "\n"; ' > parse.pl zcat $filePath | tail -n +2 | perl -nf parse.pl | bedSort stdin HI_Predictions.bed bedToBigBed HI_Predictions.bed -type=bed9+2 -as=$HOME/kent/src/hg/lib/haploinsufficiency.as -tab ../../chrom.sizes haploinsufficiency.bb mkdir -p /gbdb/hg19/bbi/haploins/ cd /gbdb/hg19/bbi/haploins/ ln -s /hive/data/genomes/hg19/bed/decipherHaplo/haploinsufficiency.bb . ############################################################################# # skinSoleBoldo JimK 01-14-2020 # This describes how we got the skinSoleBoldo data set into the # Genome Browser from the Cell Browser. ############################################################################# # Create working directory and go there mkdir /hive/data/genomes/hg19/bed/singleCell/skinSoleBoldo cd /hive/data/genomes/hg19/bed/singleCell/skinSoleBoldo # Create output dir for binaries mkdir bbi # Downloaded files from the UCSC cell browser's as so wget https://cells.ucsc.edu/aging-human-skin/meta.tsv wget https://cells.ucsc.edu/aging-human-skin/exprMatrix.tsv.gz # Get the first line (fields) out of meta.tsv and also make stats on it head -1 meta.tsv > meta.fields tabInfo meta.tsv -vals=20 > meta.20 # Make a bunch of smaller matrices by clustering columns. Mostly we'll use the cluster one # but some of the others are good to look at sometimes too. This is the time consuming step. mkdir clust matrixClusterColumns -makeIndex=clust/exprMatrix.ix exprMatrix.tsv.gz meta.tsv \ Celltype clust/cell_type.matrix bbi/cell_type.stats \ subj clust/donor.matrix bbi/donor.stats \ age clust/age.matrix bbi/age.stats \ Celltype_and_Age clust/age_cell_type.matrix bbi/age_cell_type.stats # Get the first column (the genes) out of expression matrix. cut -f 1 clust/cell_type.matrix > gene.lst # Figure out the geneset they used and generate mapping file gencodeVersionForGenes gene.lst /hive/data/inside/geneSymVerTx.tsv -bed=mapping.bed # best is gencodeV19 as sym on hg19 with 21217 of 21353 (99.3631%) hits # Turn some into barChart, and then bigBarChart foreach s (cell_type donor age age_cell_type) matrixToBarChartBed clust/$s.matrix mapping.bed clust/$s.bed -stats=bbi/$s.stats -trackDb=clust/$s.ra bedSort clust/$s.bed clust/$s.bed bedToBigBed clust/$s.bed /hive/data/genomes/hg19/chrom.sizes bbi/$s.bb -type=bed6+3 -as=/cluster/home/kent/src/hg/lib/simpleBarChartBed.as end # Make up special colors for cell_type. First manually create two column # file that relates at least some of sample labels to cell types we have colors for. # Call this file clust/cell_type.labels. matrixClusterColumns clust/cell_type.matrix clust/cell_type.labels cluster clust/cell_type.unnormed clust/cell_type.restats matrixNormalize column sum clust/cell_type.unnormed clust/cell_type.ref # Use same colors for sample foreach s (cell_type donor age age_cell_type) hcaColorCells clust/cell_type.ref ../typeColors.tsv clust/$s.matrix clust/$s.refStats -trackDb=clust/$s.colors -stats=bbi/$s.stats end # Link files needed by browser at runtime to the /gbdb dir mkdir /gbdb/hg19/bbi/skinSoleBoldo foreach s (cell_type donor age age_cell_type) ln -s /hive/data/genomes/hg19/bed/singleCell/skinSoleBoldo/bbi/$s.bb /gbdb/hg19/bbi/skinSoleBoldo/ ln -s /hive/data/genomes/hg19/bed/singleCell/skinSoleBoldo/bbi/$s.stats /gbdb/hg19/bbi/skinSoleBoldo/ end # Add the bits from clust/*.ra and clust/*.colors to hg19/trackDb.ra and you should be good. rm -f tracks.ra foreach s (cell_type donor age age_cell_type) grep -v barChartColors clust/$s.ra >>tracks.ra cat clust/$s.colors >> tracks.ra echo transformFunc NONE >> tracks.ra echo barChartLimit 2 >> tracks.ra echo "" >> tracks.ra end ############################################################################# # fetalGeneAtlas JimK 01-19-2021 ############################################################################ # This is the RNA-seq part of the data set described in # "A human cell atlas of fetal gene expression" by Cao, Day et al # Science 13 Nove 2020. This was imported from Cell Browser # Create directory for work. mkdir -p /hive/data/genomes/hg19/bed/singleCell/fetalGeneAtlas cd /hive/data/genomes/hg19/bed/singleCell/fetalGeneAtlas # Create output dir for binaries mkdir bbi # link in in files from cell browser ln -s /hive/data/inside/cells/datasets/fetal-gene-atlas/all/meta.tsv . ln -s /hive/data/inside/cells/datasets/fetal-gene-atlas/all/exprMatrix.tsv.gz . # Get the first line (fields) out of meta.tsv and also make stats on it head -1 meta.tsv > meta.fields tabInfo meta.tsv -vals=20 > meta.20 # Make a bunch of smaller matrices by clustering columns. Mostly we'll use the cluster one # but some of the others are good to look at sometimes too. This is the time consuming step. mkdir clust matrixClusterColumns -makeIndex=clust/exprMatrix.ix exprMatrix.tsv.gz meta.tsv \ Main_cluster_name clust/cell_type.matrix bbi/cell_type.stats \ Assay clust/Assay.matrix bbi/Assay.stats \ Experiment_batch clust/Experiment_batch.matrix bbi/Experiment_batch.stats \ Fetus_id clust/donor.matrix bbi/donor.stats \ Organ clust/Organ.matrix bbi/Organ.stats \ Organ_cell_lineage clust/Organ_cell_lineage.matrix bbi/Organ_cell_lineage.stats \ RT_group clust/RT_group.matrix bbi/RT_group.stats \ sex clust/sex.matrix bbi/sex.stats # Get the first column (the genes) out of expression matrix. cut -f 1 clust/cell_type.matrix > gene.lst # Figure out the geneset they used and generate mapping file gencodeVersionForGenes gene.lst /hive/data/inside/geneSymVerTx.tsv -bed=mapping.bed # best is gencodeV19 as id on hg19 with 60284 of 63562 (94.8428%) hits # Turn some into barChart, and then bigBarChart foreach s (cell_type Assay Experiment_batch donor Organ Organ_cell_lineage RT_group sex) matrixToBarChartBed clust/$s.matrix mapping.bed clust/$s.bed -stats=bbi/$s.stats -trackDb=clust/$s.ra bedSort clust/$s.bed clust/$s.bed bedToBigBed clust/$s.bed /hive/data/genomes/hg19/chrom.sizes bbi/$s.bb -type=bed6+3 -as=/cluster/home/kent/src/hg/lib/simpleBarChartBed.as end # Make up special colors for cell_type. First manually create two column # file that relates at least some of sample labels to cell types we have colors for. # Call this file cell_type.labels. matrixClusterColumns clust/cell_type.matrix cell_type.labels cluster clust/cell_type.unnormed clust/cell_type.restats matrixNormalize column sum clust/cell_type.unnormed clust/cell_type.ref #hcaColorCells clust/cell_type.ref ../typeColors.tsv clust/cell_type.matrix clust/cell_type.refStats -trackDb=clust/cell_type.colors -stats=bbi/cell_type.stats # Use same colors for some others foreach s (cell_type Assay Experiment_batch donor Organ Organ_cell_lineage RT_group sex) hcaColorCells clust/cell_type.ref ../typeColors.tsv clust/$s.matrix clust/$s.refStats -trackDb=clust/$s.colors -stats=bbi/$s.stats end # Link files needed by browser at runtime to the /gbdb dir mkdir /gbdb/hg19/bbi/fetalGeneAtlas foreach s (cell_type Assay Experiment_batch donor Organ Organ_cell_lineage RT_group sex) ln -s /hive/data/genomes/hg19/bed/singleCell/fetalGeneAtlas/bbi/$s.bb /gbdb/hg19/bbi/fetalGeneAtlas/ ln -s /hive/data/genomes/hg19/bed/singleCell/fetalGeneAtlas/bbi/$s.stats /gbdb/hg19/bbi/fetalGeneAtlas/ end hgBbiDbLink hg19 fetalGeneAtlasCellTypes /gbdb/hg19/bbi/fetalGeneAtlas/cell_type.bb hgBbiDbLink hg19 fetalGeneAtlasDonor /gbdb/hg19/bbi/fetalGeneAtlas/donor.bb hgBbiDbLink hg19 fetalGeneAtlasAssay /gbdb/hg19/bbi/fetalGeneAtlas/Assay.bb hgBbiDbLink hg19 fetalGeneAtlasExperiment /gbdb/hg19/bbi/fetalGeneAtlas/Experiment_batch.bb hgBbiDbLink hg19 fetalGeneAtlasOrgan /gbdb/hg19/bbi/fetalGeneAtlas/Organ.bb hgBbiDbLink hg19 fetalGeneAtlasOrganCellLineage /gbdb/hg19/bbi/fetalGeneAtlas/Organ_cell_lineage.bb hgBbiDbLink hg19 fetalGeneAtlasRtGroup /gbdb/hg19/bbi/fetalGeneAtlas/RG_group.bb hgBbiDbLink hg19 fetalGeneAtlasSex /gbdb/hg19/bbi/fetalGeneAtlas/sex.bb # Add the bits from clust/*.ra and clust/*.colors to hg19/trackDb.ra and you should be good. foreach s (cell_type Assay Experiment_batch donor Organ Organ_cell_lineage RT_group sex) echo >> clust/$s.ra end cat clust/*.ra > tracks.ra ############################################################################# # CADD, max Wed Feb 10 06:08:01 PST 2021 # note for the next release / archiving, procedure as per team meeting and Chris Lee: # don't forget to copy the new files to /usr/local/apache/htdocs-hgdownload/goldenPath/archive/hg19/cadd/<version> # and update the "current" symlink # also add a section "Archived Data" to the docs page with a link to the hgdownload archive directory # If motivated, also add a hub.txt cd /hive/data/genomes/hg19/bed/cadd/ wget https://krishna.gs.washington.edu/download/CADD/v1.6/GRCh37/InDels.tsv.gz wget https://krishna.gs.washington.edu/download/CADD/v1.6/GRCh37/whole_genome_SNVs.tsv.gz time python ~/kent/src/hg/makeDb/cadd/caddToBed.py InDels.tsv.gz time python ~/kent/src/hg/makeDb/cadd/caddToWig.py wigToBigWig a.wig ../../chrom.sizes a.bw & wigToBigWig c.wig ../../chrom.sizes c.bw & wigToBigWig a.wig ../../chrom.sizes a.bw & wigToBigWig g.wig ../../chrom.sizes g.bw & bedToBigBed ins.bed ../../chrom.sizes ins.bb -type=bed9+ -tab -as=${HOME}/kent/src/hg/makeDb/cadd/cadd.as bedToBigBed del.bed ../../chrom.sizes del.bb -type=bed9+ -tab -as=${HOME}/kent/src/hg/makeDb/cadd/cadd.as rm -f *.wig *.bed ############################################################################## # update sno/miRNA TRACK (WORKING - 2021-02-18 - Hiram) # last release for GRCh37 was version 20: 2013-06-13 # The data in this track is out of date so update the track. mkdir /hive/data/genomes/hg19/bed/wgRna-2013-06-13 cd /hive/data/genomes/hg19/bed/wgRna-2013-06-13 wget --timestamping \ ftp://mirbase.org/pub/mirbase/20/genomes/hsa.gff3 # examine chromosome list: grep -v "^#" hsa.gff3 | cut -f1 | sort | uniq -c > chr.list # Only select the primary transcripts, make coords 0-based so they match # gencode and refseq tracks, and remove ID and Alias entries in column 9: grep -v "^#" hsa.gff3 | grep -c "miRNA_primary_transcript" # 1871 tawk '{if ($3 == "miRNA_primary_transcript") {$4-=1; print;}}' hsa.gff3 \ | grep -v '^#' | tr ';' '\t' | tr '=' '\t' | cut -f1-8,14 \ > hsa.primaryCleaned.gff3 wc -l hsa.primaryCleaned.gff3 # 1971 # now get into bed format, with type="miRNA" tawk '{print $1, $4, $5, $9, 0, $7, 0, 0, "miRNA";}' \ hsa.primaryCleaned.gff3 > miRNA.bed # get snoRNA entries from current wgRNA table: hgsql -Ne "select * from wgRna where type != 'miRNA'" hg19 \ | cut -f2- > wgRna.other.bed # combine and load: cat miRNA.bed wgRna.other.bed > wgRna2021-02-18.bed hgLoadBed -tab -renameSqlTable -verbose=4 \ -sqlTable=$HOME/kent/src/hg/lib/wgRna.sql \ -as=$HOME/kent/src/hg/lib/wgRna.as hg19 wgRnaNew wgRna2021-02-18.bed # ### kent source version 410 ### # Reading wgRna2021-02-18.bed # Read 2273 elements of size 9 from wgRna2021-02-18.bed # Loading hg19 # compare old and new tables: hgsql -Ne "select type, count(*) from wgRna group by type" hg19 +---------+-----+ | CDBox | 269 | | HAcaBox | 112 | | miRNA | 939 | | scaRna | 21 | +---------+-----+ hgsql -Ne "select type, count(*) from wgRnaNew group by type" hg19 +---------+------+ | CDBox | 269 | | HAcaBox | 112 | | miRNA | 1871 | | scaRna | 21 | +---------+------+ # compared to hg38: hgsql -Ne "select type, count(*) from wgRna group by type" hg38 +---------+------+ | CDBox | 269 | | HAcaBox | 112 | | miRNA | 1918 | | scaRna | 21 | +---------+------+ # backup old table and compare to new one before rename. Should be only miRNA update: hgsql -Ne "select * from wgRna" hg19 | cut -f2- > wgRna.backup comm -23 <(sort -k1 -k2n wgRna2021-02-18.bed) <(sort -k1 -k2n wgRna.backup) | cut -f9 | sort -u miRNA # rename wgRnaNew table: hgsqlSwapTables -dropTable3 hg19 wgRnaNew wgRna wgRnaOld ############################################################################## # Add Revel track, Max, Thu Apr 15 03:33:49 PDT 2021 cd /hive/data/genomes/hg19/bed/revel aria2c https://rothsj06.u.hpc.mssm.edu/revel_grch38_all_chromosomes.csv.zip unzip revel_grch38_all_chromosomes.csv.zip # make sure that no weird chroms and no weird multi-nucleotide changes cat revel_grch38_all_chromosomes.csv | tr ',' '\t' | cut -f5 | grep -v alt | awk '{print length($1)}' | uniq > lens.tmp & cut -d, revel_grch38_all_chromosomes.csv -f1 | uniq | sort | uniq -c > chroms.tmp & pigz revel_grch38_all_chromosomes.csv time python revelToWig.py revel_grch38_all_chromosomes.csv.gz hg19 wigToBigWig t.wig ../../chrom.sizes t.bw & wigToBigWig c.wig ../../chrom.sizes c.bw & wigToBigWig a.wig ../../chrom.sizes a.bw & wigToBigWig g.wig ../../chrom.sizes g.bw & ############################################################################## # LASTZ human/hg19 Gorilla/gorGor6 - (DONE - 2021-06-28 - Gerardo) mkdir /hive/data/genomes/hg19/bed/lastzGorGor6.2021-06-28/ cd /hive/data/genomes/hg19/bed/lastzGorGor6.2021-06-28/ printf '# human vs gorilla BLASTZ=/cluster/bin/penn/lastz-distrib-1.04.03/bin/lastz BLASTZ_T=2 BLASTZ_O=600 BLASTZ_E=150 BLASTZ_M=254 BLASTZ_K=4500 BLASTZ_Y=15000 BLASTZ_Q=/hive/data/staging/data/blastz/human_chimp.v2.q # A C G T # A 90 -330 -236 -356 # C -330 100 -318 -236 # G -236 -318 100 -330 # T -356 -236 -330 90 # TARGET: Human hg19 SEQ1_DIR=/hive/data/genomes/hg19/hg19.2bit SEQ1_LEN=/hive/data/genomes/hg19/chrom.sizes SEQ1_CHUNK=20000000 SEQ1_LAP=10000 SEQ1_IN_CONTIGS=0 # QUERY: gorilla gorGor6 SEQ2_DIR=/hive/data/genomes/gorGor6/gorGor6.2bit SEQ2_LEN=/hive/data/genomes/gorGor6/chrom.sizes SEQ2_CHUNK=20000000 SEQ2_LAP=0 SEQ2_LIMIT=50 BASE=/hive/data/genomes/hg19/bed/lastzGorGor6.2021-06-28 TMPDIR=/dev/shm ' > DEF time (doBlastzChainNet.pl `pwd`/DEF -verbose=2 \ -chainMinScore=3000 -chainLinearGap=medium \ -workhorse=hgwdev -smallClusterHub=ku -bigClusterHub=ku \ -syntenicNet) > do.log 2>&1 # real 113m7.350s cat fb.hg19.chainGorGor6Link.txt # 2874362387 bases of 2991710746 (96.078%) in intersection cat fb.hg19.chainSynGorGor6Link.txt # 2854800888 bases of 2991710746 (95.424%) in intersection time (doRecipBest.pl -load -workhorse=hgwdev -buildDir=`pwd` hg19 gorGor6) > rbest.log 2>&1 & # real 67m18.231s sed -e 's/^/ # /;' fb.hg19.chainRBest.GorGor6.txt # 2691356356 bases of 2991710746 (89.960%) in intersection # running the swap mkdir /hive/data/genomes/gorGor6/bed/blastz.hg19.swap cd /hive/data/genomes/gorGor6/bed/blastz.hg19.swap time (doBlastzChainNet.pl -verbose=2 \ /hive/data/genomes/hg19/bed/lastzGorGor6.2021-06-28/DEF \ -swap -syntenicNet -workhorse=hgwdev \ -smallClusterHub=hgwdev -bigClusterHub=ku \ -chainMinScore=3000 -chainLinearGap=medium) > swap.log 2>&1 & # real 69m32.058s cat fb.gorGor6.chainHg19Link.txt 2735990533 bases of 2999027915 (91.229%) in intersection cat fb.gorGor6.chainSynHg19Link.txt 2726237067 bases of 2999027915 (90.904%) in intersection time (doRecipBest.pl -load -workhorse=hgwdev -buildDir=`pwd` gorGor6 hg19) > rbest.log 2>&1 & # real 70m15.001s sed -e 's/^/ # /;' fb.gorGor6.chainRBest.Hg19.txt # 2694784811 bases of 2999027915 (89.855%) in intersection ############################################################################## # JASPAR Track integration by Daniel 8/20/21 cd ~/kent/src/hg/makeDb/trackDb vi human/jaspar.ra curl http://expdata.cmmt.ubc.ca/JASPAR/UCSC_tracks/hg19/trackDb.txt >> human/jaspar.ra cd /hive/data/genomes/hg19/bed mkdir jaspar cd jaspar wget http://expdata.cmmt.ubc.ca/JASPAR/downloads/UCSC_tracks/2018/hg19/JASPAR2018_hg19_all_chr.bb wget http://expdata.cmmt.ubc.ca/JASPAR/downloads/UCSC_tracks/2020/JASPAR2020_hg19.bb mv JASPAR2020_hg19.bb JASPAR2020.bb mv JASPAR2018_hg19_all_chr.bb JASPAR2018.bb cd /gbdb/hg19 mkdir jaspar cd jaspar ln -s /hive/data/genomes/hg19/bed/jaspar/JASPAR2018.bb . ln -s /hive/data/genomes/hg19/bed/jaspar/JASPAR2020.bb . cd ~/kent/src/hg/makeDb/trackDb vi human/jaspar.html curl http://expdata.cmmt.ubc.ca/JASPAR/UCSC_tracks/JASPAR2018_TFBS_help.html >> human/jaspar.html ############################################################################### # JASPAR 2022 track addition by Daniel 10/11/21 cd ~/kent/src/hg/makeDb/trackDb curl http://expdata.cmmt.ubc.ca/JASPAR/UCSC_tracks/hg19/trackDb.txt | head -n16 >> human/jaspar.ra vi human/jaspar.ra cd /hive/data/genomes/hg19/bed/jaspar wget http://expdata.cmmt.ubc.ca/JASPAR/downloads/UCSC_tracks/2022/JASPAR2022_hg19.bb mv JASPAR2022_hg19.bb JASPAR2022.bb cd /gbdb/hg19/jaspar ln -s /hive/data/genomes/hg19/bed/jaspar/JASPAR2022.bb . cd ~/kent/src/hg/makeDb/trackDb vi human/jaspar.html ############################################################################### # JASPAR 2022 bigBed update 12/7/21 cd /hive/data/genomes/hg19/bed/jaspar wget http://expdata.cmmt.ubc.ca/JASPAR/downloads/UCSC_tracks/2022/JASPAR2022_hg19.bb rm JASPAR2022.bb mv JASPAR2022_hg19.bb JASPAR2022.bb ls -lh ls -lh /gbdb/hg19/jaspar ############################################################################### # JASPAR 2022 bigBed update 1/3/22 cd /hive/data/genomes/hg19/bed/jaspar wget http://expdata.cmmt.ubc.ca/JASPAR/downloads/UCSC_tracks/2022/JASPAR2022_hg19.bb rm JASPAR2022.bb mv JASPAR2022_hg19.bb JASPAR2022.bb ls -lh ls -lh /gbdb/hg19/jaspar ################################################### # PanelApp refs #25568 3/10/22 cd /hive/data/genomes/hg19/bed mkdir panelApp cd panelApp wget https://hgwdev.gi.ucsc.edu/~bnguy/panel/hg19/panel_hg19.bb wget https://hgwdev.gi.ucsc.edu/~bnguy/panel/hg19/str_hg19.bb mv panel_hg19.bb genesPanel.bb mv str_hg19.bb STRsPanel.bb cd /gbdb/hg19 mkdir panelApp cd panelApp ln -s /hive/data/genomes/hg19/bed/panelApp/genesPanel.bb ln -s /hive/data/genomes/hg19/bed/panelApp/STRsPanel.bb cd ~/kent/src/hg/makeDb/trackDb/human/hg19 wget https://hgwdev.gi.ucsc.edu/~bnguy/panel/hg19/panelapp.html cd ~/kent/src/hg/makeDb/trackDb mv human/hg19/panelapp.html human/hg19/panelApp.html curl https://hgwdev.gi.ucsc.edu/~bnguy/panel/hg19/trackDb.txt >> trackDb.ra vi trackDb.ra make alpha DBS=hg19 ############################################### #Probe and Microarray data sets addition 3/11/21 +############################################### +# Jarvis, Max, 03/28/22 +cd /hive/data/genomes/hg19/bed/jarvis +# downloaded from https://az.app.box.com/v/jarvis-gwrvis-scores/folder/146728772904 by Luis into orig/ +cd orig +zcat `ls | sort | grep bed` > ../jarvis.bed +bedGraphToBigWig jarvis.bed ../chrom.sizes jarvis.bw +# Go to Brian's cube, push "that was easy" button + + ############################################################################# + # chm13 liftover alignments (2022-03-29 markd) + + # preliminary CHM13 <-> hg19 liftOver chains until NCBI produces consensus alignments + # provide by Nae-Chyun Chen <naechyun.chen@gmail.com> + + mkdir -p /hive/data/genomes/hg19/bed/chm13LiftOver + cd /hive/data/genomes/hg19/bed/chm13LiftOver + + # Obtain GRCh37 from T2T Globus: team-liftover/v1_nflo/grch37-chm13v2.chain + + # rename to better match UCSC convetions and compress + mv grch37-chm13v2.chain hg19-chm13v2.over.chain + pigz hg19-chm13v2.over.chain + + # make NCBI query names as well, since chromAlias doesn't work yet for click-through + # note doc is wrong in chromToPsl PSL query is 10 + chainToPslBasic hg19-chm13v2.over.chain.gz stdout | chromToUcsc -k 10 -a /hive/data/genomes/asmHubs/genbankBuild/GCA/009/914/755/GCA_009914755.4_CHM13_T2T_v2.0/GCA_009914755.4_CHM13_T2T_v2.0.chromAlias.txt | pslToChain stdin stdout | pigz -c > hg19-chm13v2.ncbi-qnames.over.chain.gz + + # build bigChain files: + hgLoadChain -noBin -test none bigChain hg19-chm13v2.over.chain.gz + sed 's/\.000000//' chain.tab | awk 'BEGIN {OFS="\t"} {print $2, $4, $5, $11, 1000, $8, $3, $6, $7, $9, $10, $1}' > bigChainIn.tab + bedToBigBed -type=bed6+6 -as=${HOME}/kent/src/hg/lib/bigChain.as -tab bigChainIn.tab ../../chrom.sizes hg19-chm13v2.over.chain.bb + tawk '{print $1, $2, $3, $5, $4}' link.tab | csort -k1,1 -k2,2n --parallel=64 > bigLinkIn.tab + bedToBigBed -type=bed4+1 -as=${HOME}/kent/src/hg/lib/bigLink.as -tab bigLinkIn.tab ../../chrom.sizes hg19-chm13v2.over.link.bb + + # build bigChain with NCBI names files: + hgLoadChain -noBin -test none bigChain hg19-chm13v2.ncbi-qnames.over.chain.gz + sed 's/\.000000//' chain.tab | awk 'BEGIN {OFS="\t"} {print $2, $4, $5, $11, 1000, $8, $3, $6, $7, $9, $10, $1}' > bigChainIn.tab + bedToBigBed -type=bed6+6 -as=${HOME}/kent/src/hg/lib/bigChain.as -tab bigChainIn.tab ../../chrom.sizes hg19-chm13v2.ncbi-qnames.over.chain.bb + tawk '{print $1, $2, $3, $5, $4}' link.tab | csort -k1,1 -k2,2n --parallel=64 > bigLinkIn.tab + bedToBigBed -type=bed4+1 -as=${HOME}/kent/src/hg/lib/bigLink.as -tab bigLinkIn.tab ../../chrom.sizes hg19-chm13v2.ncbi-qnames.over.link.bb + + rm *.tab + + # link to gbdb + mkdir -p /gbdb/hg19/bbi/chm13LiftOver + ln -sf $(pwd)/*.bb /gbdb/hg19/bbi/chm13LiftOver/ + + # make downloads, can't add to liftOver directory due to license in that directory + mkdir -p /usr/local/apache/htdocs-hgdownload/goldenPath/hg19/chm13LiftOver/ + ln -sf $(pwd)/hg19-chm13v2.*.chain.gz /usr/local/apache/htdocs-hgdownload/goldenPath/hg19/chm13LiftOver/ + + # push these files + /gbdb/hg19/bbi/chm13LiftOver/hg19-chm13v2.ncbi-qnames.over.chain.bb + /gbdb/hg19/bbi/chm13LiftOver/hg19-chm13v2.ncbi-qnames.over.link.bb + /gbdb/hg19/bbi/chm13LiftOver/hg19-chm13v2.over.chain.bb + /gbdb/hg19/bbi/chm13LiftOver/hg19-chm13v2.over.link.bb + /usr/local/apache/htdocs-hgdownload/goldenPath/hg19/chm13LiftOver/hg19-chm13v2.ncbi-qnames.over.chain.gz + /usr/local/apache/htdocs-hgdownload/goldenPath/hg19/chm13LiftOver/hg19-chm13v2.over.chain.gz - -#############################################################################