346748ca6fae57c82810e5ae94166c7f5547b940
hiram
  Mon Dec 21 15:39:19 2020 -0800
read to continue with gene annotation refs #26584

diff --git src/hg/makeDb/doc/mm39/multiz35way.txt src/hg/makeDb/doc/mm39/multiz35way.txt
index 30abe82..f4656c4 100644
--- src/hg/makeDb/doc/mm39/multiz35way.txt
+++ src/hg/makeDb/doc/mm39/multiz35way.txt
@@ -1,2250 +1,2225 @@
 #############################################################################
 ## 35-Way Multiz (TBD - 2020-12-16 - Hiram)
     ssh hgwdev
     mkdir /hive/data/genomes/mm39/bed/multiz35way
     cd /hive/data/genomes/mm39/bed/multiz35way
 
     # from the 220-way in the source tree, select out the 35 used here:
     /cluster/bin/phast/tree_doctor \
         --prune-all-but bosTau9,calJac4,canFam4,criGri1,casCan1,cavPor3,danRer11,echTel2,equCab3,eriEur2,galGal6,galVar1,gorGor6,hg38,loxAfr3,manPen1,mm39,monDom5,neoSch1,ochPri3,oryCun2,otoGar3,oviAri4,panPan3,panTro6,petMar3,rheMac10,rn6,sorAra2,speTri2,susScr3,tarSyr2,tupBel1,turTru2,xenTro9 \
         /cluster/home/hiram/kent/src/hg/utils/phyloTrees/220way.nh \
    | sed -e 's/criGri1/GCF_003668045.3/;' \
      > t0.nh
 
     # using TreeGraph2 tree editor on the Mac, rearrange to get mm39
     # at the top, and attempt to get the others in phylo order:
     /cluster/bin/phast/all_dists t.nh | grep mm39 \
         | sed -e "s/mm39.//" | sort -k2n | sed -e 's/^/#\t/;'
 #       rn6     0.186098
 #       GCF_003668045.3 0.332282
 #       casCan1 0.412432
 #       speTri2 0.417900
 #       manPen1 0.485701
 #       cavPor3 0.491203
 #       galVar1 0.493420
 #       calJac4 0.494237
 #       gorGor6 0.500585
 #       hg38    0.502391
 #       panPan3 0.502461
 #       panTro6 0.502681
 #       tarSyr2 0.503897
 #       rheMac10        0.510018
 #       otoGar3 0.511897
 #       equCab3 0.520098
 #       turTru2 0.540150
 #       canFam4 0.543004
 #       tupBel1 0.549623
 #       susScr3 0.549974
 #       loxAfr3 0.556386
 #       oryCun2 0.556860
 #       oviAri4 0.574054
 #       neoSch1 0.585546
 #       bosTau9 0.599054
 #       ochPri3 0.643702
 #       eriEur2 0.676481
 #       echTel2 0.703393
 #       sorAra2 0.724258
 #       monDom5 0.921254
 #       xenTro9 1.214580
 #       galGal6 1.326078
 #       petMar3 2.253737
 #       danRer11        2.279062
 
     #	what that looks like:
 ~/kent/src/hg/utils/phyloTrees/asciiTree.pl t.nh > mm39.35way.nh
 ~/kent/src/hg/utils/phyloTrees/asciiTree.pl mm39.35way.nh | sed -e 's/^/# /;'
 
 # ((((((((((((((mm39:0.089509,
 #              rn6:0.096589):0.072773,
 #             GCF_003668045.3:0.17):0.08015,
 #            casCan1:0.17):0.05,
 #           speTri2:0.125468):0.022992,
 #          cavPor3:0.175779):0.025746,
 #         (oryCun2:0.114227,
 #         ochPri3:0.201069):0.101463):0.015313,
 #        ((((((((hg38:0.00655,
 #               panTro6:0.00684):0.00122,
 #              panPan3:0.00784):0.003,
 #             gorGor6:0.008964):0.025204,
 #            rheMac10:0.043601):0.02183,
 #           calJac4:0.04965):0.05209,
 #          tarSyr2:0.1114):0.02052,
 #         otoGar3:0.13992):0.013494,
 #        (tupBel1:0.136203,
 #        galVar1:0.08):0.054937):0.002):0.020593,
 #       (((susScr3:0.12,
 #         (turTru2:0.064688,
 #         (bosTau9:0.11,
 #         oviAri4:0.085):0.013592):0.045488):0.02,
 #        ((equCab3:0.084397,
 #         manPen1:0.05):0.017,
 #        (canFam4:0.054458,
 #        neoSch1:0.097):0.069845):0.008727):0.011671,
 #       (eriEur2:0.221785,
 #       sorAra2:0.269562):0.056393):0.021227):0.023664,
 #      (loxAfr3:0.098929,
 #      echTel2:0.245936):0.056717):0.234728,
 #     monDom5:0.285786):0.181168,
 #    galGal6:0.509442):0.05,
 #   xenTro9:0.347944):0.211354,
 #  danRer11:1.201072):0.2,
 # petMar3:0.975747);
 
     # extract species list from that .nh file
     sed 's/[a-z][a-z]*_//g; s/:[0-9\.][0-9\.]*//g; s/;//; /^ *$/d' \
         mm39.35way.nh | xargs echo | sed 's/ //g; s/,/ /g' \
         | sed 's/[()]//g; s/,/ /g' | tr '[ ]' '[\n]' > species.list.txt
 
-    # construct db to name translation list:
+    # construct db to name sed translation list:
+
     cat species.list.txt | while read DB
 do
 hgsql -N -e "select name,organism from dbDb where name=\"${DB}\";" hgcentraltest
-done | sed -e "s/\t/->/; s/ /_/g;" | sed -e 's/$/;/' | sed -e 's/\./_/g' \
-    | sed -e "s#'#_x_#g;" > db.to.name.txt
+done | sed -e 's#^#s/#;' | sed -e "s#\t#/#; s/ /_/g;" | sed -e 's#$#/;#' | sed -e 's/\./_/g' \
+    | sed -e "s#'#_x_#g;" > db.to.name.sed
 
-# edited db.to.name.txt to change - to _ in some of the names.
-# e.g. Crab-eating -> Crab_eating,
-# the Crab-eating didn't survive the tree_doctor
+    printf "s/GCF_003668045.3/Chinese_hamster/;\n" >> db.to.name.sed
 
-/cluster/bin/phast/tree_doctor --rename "`cat db.to.name.txt`" mm39.35way.nh \
-   | sed -e 's/0\+)/)/g; s/0\+,/,/g' \
-     | $HOME/kent/src/hg/utils/phyloTrees/asciiTree.pl /dev/stdin \
-       | sed -e "s#_x_#'#g;" > mm39.35way.commonNames.nh
+    sed -f db.to.name.sed mm39.35way.nh | sed -e "s#_x_#'#g; s#X__#X._#;"\
+       > mm39.35way.commonNames.nh
 
     cat mm39.35way.commonNames.nh | sed -e 's/^/# /;'
-# ((((((((((((Human:0.00655,
+# ((((((((((((((Mouse:0.089509,
+#              Rat:0.096589):0.072773,
+#             Chinese_hamster:0.17):0.08015,
+#            Beaver:0.17):0.05,
+#           Squirrel:0.125468):0.022992,
+#          Guinea_pig:0.175779):0.025746,
+#         (Rabbit:0.114227,
+#         Pika:0.201069):0.101463):0.015313,
+#        ((((((((Human:0.00655,
 #               Chimp:0.00684):0.00122,
 #              Bonobo:0.00784):0.003,
-#          Gorilla:0.008964):0.009693,
-#         Orangutan:0.01894):0.003471,
-#        Gibbon:0.02227):0.01204,
-#       (((((Rhesus:0.003991,
-#           (Crab_eating_macaque:0.002991,
-#           Pig_tailed_macaque:0.005):0.001):0.001,
-#          Sooty_mangabey:0.008):0.005,
-#         Baboon:0.010042):0.01061,
-#        (Green_monkey:0.027,
-#        Drill:0.03):0.002):0.003,
-#       ((Proboscis_monkey:0.0007,
-#        Angolan_colobus:0.0008):0.0008,
-#       (Golden_snub:0.0007,
-#       Black_snub:0.0007):0.0008):0.018):0.02):0.02183,
-#      (((Marmoset:0.03,
-#        Squirrel_monkey:0.01035):0.00865,
-#       White_faced_sapajou:0.04):0.006,
-#      Ma's_night_monkey:0.04):0.005):0.05209,
+#             Gorilla:0.008964):0.025204,
+#            Rhesus:0.043601):0.02183,
+#           Marmoset:0.04965):0.05209,
 #          Tarsier:0.1114):0.02052,
-#    (((Mouse_lemur:0.0556,
-#      Coquerel's_sifaka:0.05):0.015,
-#     (Black_lemur:0.01,
-#     Sclater's_lemur:0.01):0.015):0.015,
-#    Bushbaby:0.1194):0.02052):0.015494,
-#   Mouse:0.356483):0.020593,
-#  Dog:0.165928):0.023664,
-# Armadillo:0.176526);
+#         Bushbaby:0.13992):0.013494,
+#        (Tree_shrew:0.136203,
+#        Malayan_flying_lemur:0.08):0.054937):0.002):0.020593,
+#       (((Pig:0.12,
+#         (Dolphin:0.064688,
+#         (Cow:0.11,
+#         Sheep:0.085):0.013592):0.045488):0.02,
+#        ((Horse:0.084397,
+#         Chinese_pangolin:0.05):0.017,
+#        (Dog:0.054458,
+#        Hawaiian_monk_seal:0.097):0.069845):0.008727):0.011671,
+#       (Hedgehog:0.221785,
+#       Shrew:0.269562):0.056393):0.021227):0.023664,
+#      (Elephant:0.098929,
+#      Tenrec:0.245936):0.056717):0.234728,
+#     Opossum:0.285786):0.181168,
+#    Chicken:0.509442):0.05,
+#   X._tropicalis:0.347944):0.211354,
+#  Zebrafish:1.201072):0.2,
+# Lamprey:0.975747);
 
 #	Use this specification in the phyloGif tool:
 #	http://genome.ucsc.edu/cgi-bin/phyloGif
 #	to obtain a png image for src/hg/htdocs/images/phylo/mm39_35way.png
 
-    ~/kent/src/hg/utils/phyloTrees/asciiTree.pl mm39.35way.nh > t.nh
-    ~/kent/src/hg/utils/phyloTrees/scientificNames.sh t.nh \
+    cat species.list.txt | while read DB
+do
+hgsql -N -e "select name,scientificName from dbDb where name=\"${DB}\";" hgcentraltest
+done | sed -e 's#^#s/#;' | sed -e "s#\t#/#; s/ /_/g;" | sed -e 's#$#/;#' | sed -e 's/\./_/g' \
+    | sed -e "s#'#_x_#g;" > db.to.sciName.sed
+
+    printf "s/GCF_003668045.3/Cricetulus_griseus/;\n" >> db.to.sciName.sed
+
+    sed -f db.to.sciName.sed mm39.35way.nh > mm39.35way.scientificNames.nh
+
+       > mm39.35way.commonNames.nh
+
        | $HOME/kent/src/hg/utils/phyloTrees/asciiTree.pl /dev/stdin \
           > mm39.35way.scientificNames.nh
-    rm -f t.nh
     cat mm39.35way.scientificNames.nh | sed -e 's/^/# /;'
-# ((((((((((((Homo_sapiens:0.00655,
+# ((((((((((((((Mus_musculus:0.089509,
+#              Rattus_norvegicus:0.096589):0.072773,
+#             Cricetulus_griseus:0.17):0.08015,
+#            Castor_canadensis:0.17):0.05,
+#           Spermophilus_tridecemlineatus:0.125468):0.022992,
+#          Cavia_porcellus:0.175779):0.025746,
+#         (Oryctolagus_cuniculus:0.114227,
+#         Ochotona_princeps:0.201069):0.101463):0.015313,
+#        ((((((((Homo_sapiens:0.00655,
 #               Pan_troglodytes:0.00684):0.00122,
 #              Pan_paniscus:0.00784):0.003,
-#          Gorilla_gorilla_gorilla:0.008964):0.009693,
-#         Pongo_pygmaeus_abelii:0.01894):0.003471,
-#        Nomascus_leucogenys:0.02227):0.01204,
-#       (((((Macaca_mulatta:0.003991,
-#           (Macaca_fascicularis:0.002991,
-#           Macaca_nemestrina:0.005):0.001):0.001,
-#          Cercocebus_atys:0.008):0.005,
-#         Papio_anubis:0.010042):0.01061,
-#        (Chlorocebus_sabaeus:0.027,
-#        Mandrillus_leucophaeus:0.03):0.002):0.003,
-#       ((Nasalis_larvatus:0.0007,
-#        Colobus_angolensis_palliatus:0.0008):0.0008,
-#       (Rhinopithecus_roxellana:0.0007,
-#       Rhinopithecus_bieti:0.0007):0.0008):0.018):0.02):0.02183,
-#      (((Callithrix_jacchus:0.03,
-#        Saimiri_boliviensis:0.01035):0.00865,
-#       Cebus_capucinus_imitator:0.04):0.006,
-#      Aotus_nancymaae:0.04):0.005):0.05209,
+#             Gorilla_gorilla_gorilla:0.008964):0.025204,
+#            Macaca_mulatta:0.043601):0.02183,
+#           Callithrix_jacchus:0.04965):0.05209,
 #          Tarsius_syrichta:0.1114):0.02052,
-#    (((Microcebus_murinus:0.0556,
-#      Propithecus_coquereli:0.05):0.015,
-#     (Eulemur_macaco:0.01,
-#     Eulemur_flavifrons:0.01):0.015):0.015,
-#    Otolemur_garnettii:0.1194):0.02052):0.015494,
-#   Mus_musculus:0.356483):0.020593,
-#  Canis_lupus_familiaris:0.165928):0.023664,
-# Dasypus_novemcinctus:0.176526);
+#         Otolemur_garnettii:0.13992):0.013494,
+#        (Tupaia_belangeri:0.136203,
+#        Galeopterus_variegatus:0.08):0.054937):0.002):0.020593,
+#       (((Sus_scrofa:0.12,
+#         (Tursiops_truncatus:0.064688,
+#         (Bos_taurus:0.11,
+#         Ovis_aries:0.085):0.013592):0.045488):0.02,
+#        ((Equus_caballus:0.084397,
+#         Manis_pentadactyla:0.05):0.017,
+#        (Canis_lupus_familiaris:0.054458,
+#        Neomonachus_schauinslandi:0.097):0.069845):0.008727):0.011671,
+#       (Erinaceus_europaeus:0.221785,
+#       Sorex_araneus:0.269562):0.056393):0.021227):0.023664,
+#      (Loxodonta_africana:0.098929,
+#      Echinops_telfairi:0.245936):0.056717):0.234728,
+#     Monodelphis_domestica:0.285786):0.181168,
+#    Gallus_gallus:0.509442):0.05,
+#   Xenopus_tropicalis:0.347944):0.211354,
+#  Danio_rerio:1.201072):0.2,
+# Petromyzon_marinus:0.975747);
 
     /cluster/bin/phast/all_dists mm39.35way.nh | grep mm39 \
         | sed -e "s/mm39.//" | sort -k2n > 35way.distances.txt
     #	Use this output to create the table below
     cat 35way.distances.txt | sed -e 's/^/# /;'
 # rn6   0.186098
 # GCF_003668045.3       0.332282
 # casCan1       0.412432
 # speTri2       0.417900
 # manPen1       0.485701
 # cavPor3       0.491203
 # galVar1       0.493420
 # calJac4       0.494237
 # gorGor6       0.500585
 # hg38  0.502391
 # panPan3       0.502461
 # panTro6       0.502681
 # tarSyr2       0.503897
 # rheMac10      0.510018
 # otoGar3       0.511897
 # equCab3       0.520098
 # turTru2       0.540150
 # canFam4       0.543004
 # tupBel1       0.549623
 # susScr3       0.549974
 # loxAfr3       0.556386
 # oryCun2       0.556860
 # oviAri4       0.574054
 # neoSch1       0.585546
 # bosTau9       0.599054
 # ochPri3       0.643702
 # eriEur2       0.676481
 # echTel2       0.703393
 # sorAra2       0.724258
 # monDom5       0.921254
 # xenTro9       1.214580
 # galGal6       1.326078
 # petMar3       2.253737
 # danRer11      2.279062
 
-    printf '#!/usr/bin/env perl
-
-use strict;
-use warnings;
-
-open (FH, "<35way.distances.txt") or
-        die "can not read 35way.distances.txt";
-
-my $count = 0;
-while (my $line = <FH>) {
-    chomp $line;
-    my ($D, $dist) = split('"'"'\\s+'"'"', $line);
-    my $chain = "chain" . ucfirst($D);
-    my $B="/hive/data/genomes/mm39/bed/lastz.$D/fb.mm39." .
-        $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/lastz.mm39/fb.${D}.chainMm39Link.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;
-    printf "# %%02d  %%.4f (%%%% %%06.3f) (%%%% %%06.3f) - %%s %%s\\n", $count, $dist,
-        $chainLinkMeasure, $swapMeasure, $orgName, $D;
-}
-close (FH);
-' > sizeStats.pl
-    chmod +x ./sizeStats.pl
-    ./sizeStats.pl
+    ~/kent/src/hg/makeDb/doc/mm39/sizeStats.pl
 
 #	If you can fill in all the numbers in this table, you are ready for
 #	the multiple alignment procedure
 # count phylo    chain      synNet    rBest  synNet v.  query
 #       dist      link                         chain
 # 001 0.1861 (% 70.901) (% 66.256) (% 65.494)  6.55 - Rat rn6
 # 002 0.3323 (% 58.000) (% 54.406) (% 00.000)  6.20 - Cricetulus griseus GCF_003668045.3
 # 003 0.4124 (% 36.600) (% 32.404) (% 34.407) 11.46 - Beaver casCan1
 # 004 0.4179 (% 34.147) (% 31.953) (% 32.373)  6.43 - Squirrel speTri2
 # 005 0.4857 (% 27.322) (% 22.622) (% 25.847) 17.20 - Chinese pangolin manPen1
 # 006 0.4912 (% 28.378) (% 26.311) (% 26.932)  7.28 - Guinea pig cavPor3
 # 007 0.4934 (% 35.714) (% 31.386) (% 33.751) 12.12 - Malayan flying lemur galVar1
 # 008 0.4942 (% 33.090) (% 31.297) (% 31.492)  5.42 - Marmoset calJac4
 # 009 0.5006 (% 35.064) (% 33.225) (% 33.360)  5.24 - Gorilla gorGor6
 # 010 0.5024 (% 35.372) (% 33.566) (% 33.646)  5.11 - Human hg38
 # 011 0.5025 (% 35.282) (% 33.492) (% 33.579)  5.07 - Bonobo panPan3
 # 012 0.5027 (% 35.291) (% 33.511) (% 33.608)  5.04 - Chimp panTro6
 # 013 0.5039 (% 32.278) (% 28.908) (% 30.629) 10.44 - Tarsier tarSyr2
 # 014 0.5100 (% 34.838) (% 33.095) (% 33.167)  5.00 - Rhesus rheMac10
 # 015 0.5119 (% 29.729) (% 27.878) (% 28.263)  6.23 - Bushbaby otoGar3
 # 016 0.5201 (% 34.831) (% 33.041) (% 33.077)  5.14 - Horse equCab3
 # 017 0.5402 (% 30.188) (% 24.901) (% 28.769) 17.51 - Dolphin turTru2
 # 018 0.5430 (% 29.376) (% 27.756) (% 27.951)  5.51 - Dog canFam4
 # 019 0.5496 (% 19.691) (% 12.280) (% 18.365) 37.64 - Tree shrew tupBel1
 # 020 0.5500 (% 25.611) (% 23.252) (% 24.292)  9.21 - Pig susScr3
 # 021 0.5564 (% 25.756) (% 23.827) (% 24.416)  7.49 - Elephant loxAfr3
 # 022 0.5569 (% 25.182) (% 23.079) (% 23.777)  8.35 - Rabbit oryCun2
 # 023 0.5741 (% 26.200) (% 24.360) (% 24.783)  7.02 - Sheep oviAri4
 # 024 0.5855 (% 31.257) (% 29.478) (% 29.730)  5.69 - Hawaiian monk seal neoSch1
 # 025 0.5991 (% 26.588) (% 24.846) (% 25.188)  6.55 - Cow bosTau9
 # 026 0.6437 (% 18.559) (% 16.419) (% 17.355) 11.53 - Pika ochPri3
 # 027 0.6765 (% 13.450) (% 09.501) (% 12.323) 29.36 - Hedgehog eriEur2
 # 028 0.7034 (% 14.456) (% 11.161) (% 13.329) 22.79 - Tenrec echTel2
 # 029 0.7243 (% 13.370) (% 10.430) (% 12.301) 21.99 - Shrew sorAra2
 # 030 0.9213 (% 05.382) (% 04.390) (% 04.627) 18.43 - Opossum monDom5
 # 031 1.2146 (% 01.936) (% 00.783) (% 01.354) 59.56 - X. tropicalis xenTro9
 # 032 1.3261 (% 02.537) (% 01.835) (% 02.015) 27.67 - Chicken galGal6
 # 033 2.2537 (% 00.905) (% 00.027) (% 00.517) 97.02 - Lamprey petMar3
 # 034 2.2791 (% 01.416) (% 00.185) (% 00.947) 86.94 - Zebrafish danRer11
 # count phylo    chain      synNet    rBest  synNet v.  query
 #       dist      link                         chain
 
 # None of this concern for distances matters in building the first step, the
 # maf files.  The distances will be better calibrated later.
 
     # create species list and stripped down tree for autoMZ
     sed 's/[a-z][a-z]*_//g; s/:[0-9\.][0-9\.]*//g; s/;//; /^ *$/d' \
 	mm39.35way.nh | xargs echo | sed 's/ //g; s/,/ /g' > tree.nh
 
     sed 's/[()]//g; s/,/ /g' tree.nh > species.list
     cat species.list | fold -s -w 76 | sed -e 's/^/# /;'
 # mm39 rn6 GCF_003668045.3 casCan1 speTri2 cavPor3 oryCun2 ochPri3 hg38 
 # panTro6 panPan3 gorGor6 rheMac10 calJac4 tarSyr2 otoGar3 tupBel1 galVar1 
 # susScr3 turTru2 bosTau9 oviAri4 equCab3 manPen1 canFam4 neoSch1 eriEur2 
 # sorAra2 loxAfr3 echTel2 monDom5 galGal6 xenTro9 danRer11 petMar3
 
     #	bash shell syntax here ...
     cd /hive/data/genomes/mm39/bed/multiz35way
 
     export H=/hive/data/genomes/mm39/bed
     mkdir mafLinks
     # good, phylo close  assemblies can use syntenic net:
     for G in rn6 cavPor3 calJac4 gorGor6 hg38 panPan3 panTro6 rheMac10 \
 	equCab3 canFam4 oviAri4 neoSch1
     do
       cd $H/multiz35way
       rm -fr mafLinks/$G
       mkdir mafLinks/$G
       cd mafLinks/$G
       mafSplit -outDirDepth=0 -byTarget -useFullSequenceName \
         /dev/null . ${H}/lastz.$G/axtChain/mm39.${G}.synNet.maf.gz
       gzip *.maf
       echo lastz.$G/axtChain/mm39.${G}.synNet.maf.gz
     done
 
     # GCF_003668045.3 is special and was done with a name translation step
     # to eliminate dots in the assembly name and in the sequence names
     # maf files expect only one dot on the s lines: assembly.sequence
     mkdir mafLinks/GCF_003668045v3
     cd mafLinks/GCF_003668045v3
     mafSplit -outDirDepth=0 -byTarget -useFullSequenceName \
 	/dev/null . ../../translated/GCF_003668045v3.maf.gz
     gzip *.maf
 
     # assemblies using recip best net:
     for G in casCan1  speTri2 manPen1 tarSyr2 otoGar3 turTru2 tupBel1 \
 	susScr3 loxAfr3 oryCun2 bosTau9 ochPri3 eriEur2 echTel2 sorAra2
     do
       cd $H/multiz35way
       rm -fr mafLinks/$G
       mkdir mafLinks/$G
       cd mafLinks/$G
       echo ln -s "lastz.$G/mafRBestNet/"'*' ./mafLinks/$G
       ln -s ${H}/lastz.$G/mafRBestNet/*.maf.gz ./
     done
 
     # and finally, assemblies using the base mafNet
     for G in galVar1 monDom5 xenTro9 galGal6 danRer11 petMar3
     do
       cd $H/multiz35way
       rm -fr mafLinks/$G
       mkdir mafLinks/$G
       cd mafLinks/$G
       echo ln -s "lastz.$G/mafNet/"'*' ./mafLinks/$G
       ln -s ${H}/lastz.$G/mafNet/*.maf.gz ./
     done
     # verify the symLinks are good, should be 22 primary chromosomes for all:
     for D in `ls -d mafLinks/*`
     do
        printf "%02d\t%s\n" "`ls $D | egrep -v "chrUn|random" | wc -l`" "${D}"
     done | sed -e 's/^/#\t/;'
 #       22      mafLinks/GCF_003668045.3
 #       22      mafLinks/bosTau9
 #       22      mafLinks/calJac4
 ...
 #       22      mafLinks/tupBel1
 #       22      mafLinks/turTru2
 #       22      mafLinks/xenTro9
 
     # verify the symLinks are good, various other numbers with all chromosomes:
     for D in `ls -d mafLinks/*`
     do
        printf "%02d\t%s\n" "`ls $D | wc -l`" "${D}"
     done | sed -e 's/^/#\t/;' | sort -k2,2n
 #       25      mafLinks/cavPor3
 #       25      mafLinks/oviAri4
 #       27      mafLinks/canFam4
 ...
 #       47      mafLinks/speTri2
 #       49      mafLinks/rn6
 #       54      mafLinks/galVar1
 
     # Interesting that there are no matches to all the chromosomes by
     # any organism.  Let's see how many if all are placed together
     for D in `ls -d mafLinks/*`
     do
        ls $D | grep chr | sed -e 's#.*/##;'
     done | sort -u | wc -l
 # 54
     # seems to be the limit, wonder what is missing:
     find ./mafLinks -type f | sed -e 's#.*/##;' \
        | sed -e 's/.maf.gz//;' | sort -u > maf.list.here
     comm -23 <(cut -f1 ../../chrom.sizes | sort ) maf.list.here | sed -e 's/^/#\t/;'
 #       chr1_GL456239v1_random
 #       chr4_JH584295v1_random
 #       chrUn_GL456368v1
 #       chrUn_GL456370v1
 #       chrUn_GL456383v1
 #       chrUn_GL456389v1
 #       chrUn_GL456390v1
 #       chrUn_GL456392v1
 #       chrUn_GL456396v1
 #       chrUn_MU069435v1
 
     # and the sizes of those missed chroms:
     comm -23 <(cut -f1 ../../chrom.sizes | sort ) maf.list.here \
 | while read S; do grep "${S}" ../../chrom.sizes; done | sed -e 's/^/#\t/;'
 #       chr1_GL456239v1_random  40056
 #       chr4_JH584295v1_random  1976
 #       chrUn_GL456368v1        20208
 #       chrUn_GL456370v1        26764
 #       chrUn_GL456383v1        38659
 #       chrUn_GL456389v1        28772
 #       chrUn_GL456390v1        24668
 #       chrUn_GL456392v1        23629
 #       chrUn_GL456396v1        21240
 #       chrUn_MU069435v1        31129
 
 XXX
     # try to do these as full chromosomes without the splitting procedure
 
     mkdir /hive/data/genomes/mm39/bed/multiz35way/fullChromRun
     cd /hive/data/genomes/mm39/bed/multiz35way/fullChromRun
     mkdir maf run
     cd run
     mkdir penn
     cp -p /cluster/bin/penn/multiz.2009-01-21_patched/multiz penn
     cp -p /cluster/bin/penn/multiz.2009-01-21_patched/maf_project penn
     cp -p /cluster/bin/penn/multiz.2009-01-21_patched/autoMZ penn
 
     find ../../mafLinks -type l | grep ".maf.gz$" | xargs -L 1 basename \
        | sed -e 's/.gz//;' | sort -u > maf.list
 
     wc -l maf.list
     # 54 maf.list
 
     #	set the db and pairs directories here
     cat > autoMultiz.csh << '_EOF_'
 #!/bin/csh -ef
 set db = mm39
 set c = $1
 set result = $2
 set run = `/bin/pwd`
 set tmp = /dev/shm/$db/multiz.$c
 set pairs = /hive/data/genomes/mm39/bed/multiz35way/mafLinks
 /bin/rm -fr $tmp
 /bin/mkdir -p $tmp
 /usr/bin/sed -e 's/GCF_003668045.3/GCF_003668045v3/;' ../../tree.nh > $tmp/tree.nh
 /usr/bin/sed -e 's/GCF_003668045.3/GCF_003668045v3/;' ../../species.list > $tmp/species.list
 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
 '_EOF_'
 # << happy emacs
     chmod +x autoMultiz.csh
 
     printf '#LOOP
 ./autoMultiz.csh $(file1) {check out line+ /hive/data/genomes/mm39/bed/multiz35way/fullChromRun/maf/$(root1).maf}
 #ENDLOOP
 ' > template
 
     ssh ku
     cd /hive/data/genomes/mm39/bed/multiz35way/fullChromRun/run
     gensub2 maf.list single template jobList
     para -ram=64g create jobList
 # Completed: 7 of 7 jobs
 # CPU time in finished jobs:     295337s    4922.28m    82.04h    3.42d  0.009 y
 # IO & Wait Time:                   226s       3.77m     0.06h    0.00d  0.000 y
 # Average job time:               42223s     703.72m    11.73h    0.49d
 # Longest finished job:           58035s     967.25m    16.12h    0.67d
 # Submission to last job:         58046s     967.43m    16.12h    0.67d
 
 
     #	need to split these things up into smaller pieces for
     #	efficient kluster run.
     mkdir /hive/data/genomes/mm39/bed/multiz35way/mafSplit
     cd /hive/data/genomes/mm39/bed/multiz35way/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 mm39 5 stdout | sort -u \
 	| sort -k1,1 -k2,2n > mafSplit.bed
     #   see also multiz35way.txt for more discussion of this procedure
 
     #	run a kluster job to split them all
     ssh ku
     cd /hive/data/genomes/mm39/bed/multiz35way/mafSplit
 
     printf '
 #!/bin/csh -ef
 set G = $1
 set M = $2
 mkdir -p $G
 pushd $G > /dev/null
 if ( -s mm39_${M}.00.maf ) then
     /bin/rm -f mm39_${M}.*.maf
 endif
 /cluster/bin/x86_64/mafSplit ../mafSplit.bed mm39_ ../../mafLinks/${G}/${M}.maf.gz
 /bin/gzip mm39_*.maf
 popd > /dev/null
 ' > runOne
 
     # << happy emacs
     chmod +x runOne
 
     printf '#LOOP
 runOne $(dir1) $(file1) {check out exists+ $(dir1)/mm39_chr1.00.maf.gz}
 #ENDLOOP
 ' > template
 
     find ../mafLinks -type l | awk -F'/' '{printf "%s/%s\n", $3,$4}' \
       | sed -e 's/.maf.gz//;' > maf.list
 
     gensub2 maf.list single template jobList
     para -ram=16g create jobList
     para try ... check ... push ... etc...
 # Completed: 29 of 29 jobs
 # CPU time in finished jobs:      31855s     530.92m     8.85h    0.37d  0.001 y
 # IO & Wait Time:                     0s       0.00m     0.00h    0.00d  0.000 y
 # Average job time:                1070s      17.84m     0.30h    0.01d
 # Longest finished job:            1544s      25.73m     0.43h    0.02d
 # Submission to last job:          3302s      55.03m     0.92h    0.04d
 
     # 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
     # 16567
 
     find . -type f | grep ".maf.gz$" | xargs -L 1 basename | sort -u \
         > run.maf.list
     wc -l run.maf.list
     # 678 run.maf.list
 
     # number of chroms with data:
     awk -F'.' '{print $1}' run.maf.list  | sed -e 's/mm39_//;' \
       | sort | uniq -c | sort -n | wc -l
     #  358
 
     mkdir /hive/data/genomes/mm39/bed/multiz35way/splitRun
     cd /hive/data/genomes/mm39/bed/multiz35way/splitRun
     mkdir maf run
     cd run
     mkdir penn
     cp -p /cluster/bin/penn/multiz.2009-01-21_patched/multiz penn
     cp -p /cluster/bin/penn/multiz.2009-01-21_patched/maf_project penn
     cp -p /cluster/bin/penn/multiz.2009-01-21_patched/autoMZ penn
 
     #	set the db and pairs directories here
     cat > autoMultiz.csh << '_EOF_'
 #!/bin/csh -ef
 set db = mm39
 set c = $1
 set result = $2
 set run = `/bin/pwd`
 set tmp = /dev/shm/$db/multiz.$c
 set pairs = /hive/data/genomes/mm39/bed/multiz35way/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
 
     printf '#LOOP
 ./autoMultiz.csh $(root1) {check out line+ /hive/data/genomes/mm39/bed/multiz35way/splitRun/maf/$(root1)}
 #ENDLOOP
 ' > template
 
     ln -s  ../../mafSplit/run.maf.list maf.list
 
     ssh ku
     cd /hive/data/genomes/mm39/bed/multiz35way/splitRun/run
     gensub2 maf.list single template jobList
     para create jobList
     para try ... check ... push ... etc...
 # Completed: 678 of 678 jobs
 # CPU time in finished jobs:    3849518s   64158.63m  1069.31h   44.55d  0.122 y
 # IO & Wait Time:                  4040s      67.33m     1.12h    0.05d  0.000 y
 # Average job time:                5684s      94.73m     1.58h    0.07d
 # Longest finished job:           37569s     626.15m    10.44h    0.43d
 # Submission to last job:         79158s    1319.30m    21.99h    0.92d
 
     # put the split maf results back together into a single per-chrom maf file
     #	eliminate duplicate comments
     ssh hgwdev
     cd /hive/data/genomes/mm39/bed/multiz35way/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/${C}.maf.gz
 endif
 if ( -s maf/mm39_${C}.00.maf ) then
   head -q -n 1 maf/mm39_${C}.00.maf | sort -u > ../maf/${C}.maf
   grep -h -v "^#" `ls maf/mm39_${C}.*.maf | sort -t. -k2,2n` >> ../maf/${C}.maf
   tail -q -n 1 maf/mm39_${C}.00.maf | sort -u >> ../maf/${C}.maf
 else
   touch ../maf/${C}.maf
 endif
 '_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/mm39/bed/multiz35way/splitRun
     gensub2 chr.list single template jobList
     para -ram=16g create jobList
     para try ... check ... push ... etc ...
     para -maxJob=32 push
 # Completed: 455 of 455 jobs
 # CPU time in finished jobs:        265s       4.42m     0.07h    0.00d  0.000 y
 # IO & Wait Time:                  1472s      24.53m     0.41h    0.02d  0.000 y
 # Average job time:                   4s       0.06m     0.00h    0.00d
 # Longest finished job:              52s       0.87m     0.01h    0.00d
 # Submission to last job:            92s       1.53m     0.03h    0.00d
 
     cd /hive/data/genomes/mm39/bed/multiz35way/maf
     # 97 of them have empty results, they have to be removed
     ls -ogrt | awk '$3 == 0' | awk '{print $NF}' | xargs rm -f
 
 
     # Load into database
     mkdir -p /gbdb/mm39/multiz35way/maf
     cd /hive/data/genomes/mm39/bed/multiz35way/maf
     ln -s `pwd`/*.maf /gbdb/mm39/multiz35way/maf/
 
     # this generates an immense multiz35way.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/mm39/multiz35way/maf mm39 multiz35way
-    # Loaded 40625470 mafs in 358 files from /gbdb/mm39/multiz35way/maf
-    # real    28m23.045s
+    # Loaded 44558775 mafs in 54 files from /gbdb/mm39/multiz35way/maf
+    # real    21m8.685s
 
     time (cat /gbdb/mm39/multiz35way/maf/*.maf \
         | hgLoadMafSummary -verbose=2 -minSize=30000 \
 	-mergeGap=1500 -maxSize=200000 mm39 multiz35waySummary stdin)
-#  Created 4568973 summary blocks from 850984320 components and 40625470 mafs from stdin
-#  real    49m52.561s
+# Created 7693860 summary blocks from 597609421 components and 44558775 mafs from stdin
+# real    28m44.150s
 
 
--rw-rw-r--   1 2171190193 Nov  2 16:40 multiz35way.tab
--rw-rw-r--   1  215756735 Nov  2 17:44 multiz35waySummary.tab
+# -rw-rw-r--   1 2269241117 Dec 19 15:05 multiz35way.tab
+# -rw-rw-r--   1  379606617 Dec 19 15:48 multiz35waySummary.tab
 
-    wc -l multiz30*.tab
-#    40625470 multiz35way.tab
-#     4568973 multiz35waySummary.tab
+    wc -l multiz35*.tab
+#   44558775 multiz35way.tab
+#    7693860 multiz35waySummary.tab
 
     rm multiz35way*.tab
 
 #######################################################################
 # GAP ANNOTATE MULTIZ30WAY MAF AND LOAD TABLES (TBD - 2017-11-03 - 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/mm39/bed/multiz35way/anno
     cd /hive/data/genomes/mm39/bed/multiz35way/anno
 
     # check for N.bed files everywhere:
     for DB in `sed -e 's/ GCF_003668045.3//;' ../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
     cd /hive/data/genomes/mm39/bed/multiz35way/anno
 done
     twoBitInfo -nBed \
 /hive/data/genomes/asmHubs/refseqBuild/GCF/003/668/045/GCF_003668045.3_CriGri-PICRH-1.0/GCF_003668045.3_CriGri-PICRH-1.0.2bit \
 stdout | sed -e 's/\./v/g;' > GCF_003668045v3.bed
     sed -e 's/\./v/g;' /hive/data/genomes/asmHubs/refseqBuild/GCF/003/668/045/GCF_003668045.3_CriGri-PICRH-1.0/GCF_003668045.3_CriGri-PICRH-1.0.chrom.sizes \
       > GCF_003668045v3.len
 
     cd /hive/data/genomes/mm39/bed/multiz35way/anno
     for DB in `sed -e 's/ GCF_003668045.3//;' ../species.list`
 do
     echo "${DB} "
     ln -s  /hive/data/genomes/${DB}/${DB}.N.bed ${DB}.bed
     ln -s  /hive/data/genomes/${DB}/chrom.sizes ${DB}.len
 done
     ls *.bed > nBeds
     ls *.len > sizes
     # make sure they all are successful symLinks:
     ls -ogrtL *.bed | wc -l
     # 35
     ls -ogrtL *.len | wc -l
     # 35
     wc -l nBeds sizes
     # 35 nBeds
     # 35 sizes
 
     screen -S mm39      # use a screen to control this longish job
     # do not need to go to ku for this, can run on hgwdev parasol
     cd /hive/data/genomes/mm39/bed/multiz35way/anno
     mkdir result
 
     printf '#LOOP
 mafAddIRows -nBeds=nBeds $(path1) /hive/data/genomes/mm39/mm39.2bit {check out line+ result/$(file1)}
 #ENDLOOP
 ' > template
 
     # tac to get some of the smaller ones to run first so it is easy to verify
     # it is running OK
     ls ../fullChromRun/maf/*.maf | tac > maf.list
 
     gensub2 maf.list single template jobList
     # good to allow plenty of memory, slows them down and allows the large ones
     #  to finish
     para -ram=64g create jobList
     para try ... check ...
 XXX - running - Sat Dec 19 09:06:14 PST 2020
     para -maxJob=10 push
 # Completed: 358 of 358 jobs
 # CPU time in finished jobs:       5296s      88.27m     1.47h    0.06d  0.000 y
 # IO & Wait Time:                   914s      15.23m     0.25h    0.01d  0.000 y
 # Average job time:                  17s       0.29m     0.00h    0.00d
 # Longest finished job:             404s       6.73m     0.11h    0.00d
 # Submission to last job:           451s       7.52m     0.13h    0.01d
 
     du -hsc result
     #  156G    result
 
     # Load into database
     rm -f /gbdb/mm39/multiz35way/maf/*
     cd /hive/data/genomes/mm39/bed/multiz35way/anno/result
 
     ln -s `pwd`/*.maf /gbdb/mm39/multiz35way/maf/
 
     # this generates an immense multiz35way.tab file in the directory
     #	where it is running.  Best to run this over in scratch.
     cd /dev/shm
     time hgLoadMaf -pathPrefix=/gbdb/mm39/multiz35way/maf mm39 multiz35way
+XXX - running - Sat Dec 19 14:47:00 PST 2020
     # Loaded 40655883 mafs in 358 files from /gbdb/mm39/multiz35way/maf
     # real    37m27.075s
 
     # -rw-rw-r-- 1 2177747201 Nov  2 18:27 multiz35way.tab
 
     time (cat /gbdb/mm39/multiz35way/maf/*.maf \
         | hgLoadMafSummary -verbose=2 -minSize=30000 \
 	-mergeGap=1500 -maxSize=200000 mm39 multiz35waySummary stdin)
 # Created 4568973 summary blocks from 850984320 components and 40655883 mafs from stdin
 # real    59m27.383s
 
 # -rw-rw-r--   1 2177747201 Nov  2 18:27 multiz35way.tab
 # -rw-rw-r--   1  224894681 Nov  3 08:12 multiz35waySummary.tab
 
     wc -l multiz35way*.tab
     # 40655883 multiz35way.tab
     #  4568973 multiz35waySummary.tab
 
     rm multiz35way*.tab
 
 ##############################################################################
 # MULTIZ7WAY MAF FRAMES (TBD - 2017-11-03 - Hiram)
     ssh hgwdev
     mkdir /hive/data/genomes/mm39/bed/multiz35way/frames
     cd /hive/data/genomes/mm39/bed/multiz35way/frames
 #   survey all the genomes to find out what kinds of gene tracks they have
 
     printf '#!/bin/csh -fe
 foreach db (`cat ../species.list`)
     echo -n "# ${db}: "
     set tables = `hgsql $db -N -e "show tables" | egrep "Gene|ncbiRefSeq"`
     foreach table ($tables)
         if ($table == "ensGene" || $table == "refGene" || \
            $table == "ncbiRefSeq" || $table == "mgcGenes" || \
            $table == "knownGene" || $table == "xenoRefGene" ) then
            set count = `hgsql $db -N -e "select count(*) from $table"`
             echo -n "${table}: ${count}, "
         endif
     end
     echo
 end
 ' > showGenes.csh
 
     chmod +x ./showGenes.csh
     time ./showGenes.csh
 # mm39: ensGene: 208239, knownGene: 196838, mgcGenes: 35312, ncbiRefSeq: 159322, refGene: 74391, xenoRefGene: 186565,
 # panTro5: refGene: 2901, xenoRefGene: 232448,
 # panPan2: ncbiRefSeq: 59356, refGene: 130, xenoRefGene: 222742,
 # gorGor5: refGene: 444, xenoRefGene: 315030,
 # ponAbe2: ensGene: 29447, refGene: 3572, xenoRefGene: 329566,
 # nomLeu3: xenoRefGene: 220286,
 # rheMac8: ensGene: 56743, refGene: 6481, xenoRefGene: 223255,
 # macFas5: refGene: 2164, xenoRefGene: 314695,
 # macNem1: refGene: 64, xenoRefGene: 316886,
 # cerAty1: refGene: 450, xenoRefGene: 492070,
 # papAnu3: ensGene: 31109, refGene: 513, xenoRefGene: 324140,
 # chlSab2: ensGene: 28078, xenoRefGene: 245054,
 # manLeu1: refGene: 3, xenoRefGene: 456179,
 # nasLar1: xenoRefGene: 360558,
 # colAng1: ncbiRefSeq: 47349, refGene: 3, xenoRefGene: 332184,
 # rhiRox1: xenoRefGene: 364268,
 # rhiBie1: xenoRefGene: 342566,
 # calJac3: ensGene: 55116, refGene: 228, xenoRefGene: 346395,
 # saiBol1: xenoRefGene: 506909,
 # cebCap1: refGene: 293, xenoRefGene: 457440,
 # aotNan1: refGene: 17, xenoRefGene: 471455,
 # tarSyr2: xenoRefGene: 349126,
 # micMur3: xenoRefGene: 224817,
 # proCoq1: xenoRefGene: 449845,
 # eulMac1: xenoRefGene: 427352,
 # eulFla1: xenoRefGene: 434365,
 # otoGar3: ensGene: 28565, xenoRefGene: 470891,
 # mm10: ensGene: 103734, knownGene: 63759, mgcGenes: 27612, ncbiRefSeq: 106520, refGene: 38421, xenoRefGene: 183274,
 # canFam3: ensGene: 39074, refGene: 2297, xenoRefGene: 268480,
 # dasNov3: ensGene: 37723, xenoRefGene: 500914,
 
 # real    0m1.505s
 
     # from that summary, use these gene sets:
     # knownGene - mm39 mm10
     # ensGene - ponAbe2 rheMac8 papAnu3 chlSab2 calJac3 otoGar3 canFam3 dasNov3
     # xenoRefGene -  panTro5 panPan2 gorGor5 nomLeu3 macFas5 macNem1 cerAty1 manLeu1 nasLar1 colAng1 rhiRox1 rhiBie1 saiBol1 cebCap1 aotNan1 tarSyr2 micMur3 proCoq1 eulMac1 eulFla1
 
     mkdir genes
 
     #   1. knownGene: mm39 mm10
     for DB in mm39 mm10
 do
     hgsql -N -e "select name,chrom,strand,txStart,txEnd,cdsStart,cdsEnd,exonCount,exonStarts,exonEnds from knownGene" ${DB} \
       | genePredSingleCover stdin stdout | gzip -2c \
         > genes/${DB}.gp.gz
     genePredCheck -db=${DB} genes/${DB}.gp.gz 2>&1 | sed -e 's/^/    # /;'
 done
     # checked: 21554 failed: 0
     # checked: 21100 failed: 0
 
     #   2. ensGene: ponAbe2 rheMac8 papAnu3 chlSab2 calJac3 otoGar3 canFam3 dasNov3
     for DB in ponAbe2 rheMac8 papAnu3 chlSab2 calJac3 otoGar3 canFam3 dasNov3
 do
 hgsql -N -e "select
 name,chrom,strand,txStart,txEnd,cdsStart,cdsEnd,exonCount,exonStarts,exonEnds
 from ensGene" ${DB} \
       | genePredSingleCover stdin stdout | gzip -2c \
         > /dev/shm/${DB}.tmp.gz
     mv /dev/shm/${DB}.tmp.gz genes/$DB.gp.gz
     echo -n "# ${DB}: "
     genePredCheck -db=${DB} genes/${DB}.gp.gz
 done
 # ponAbe2: checked: 20220 failed: 0
 # rheMac8: checked: 20859 failed: 0
 # papAnu3: checked: 19113 failed: 0
 # chlSab2: checked: 19080 failed: 0
 # calJac3: checked: 20827 failed: 0
 # otoGar3: checked: 19472 failed: 0
 # canFam3: checked: 19507 failed: 0
 # dasNov3: checked: 22586 failed: 0
 
     #   3. xenoRefGene for panTro5 panPan2 gorGor5 nomLeu3 macFas5 macNem1 cerAty1 manLeu1 nasLar1 colAng1 rhiRox1 rhiBie1 saiBol1 cebCap1 aotNan1 tarSyr2 micMur3 proCoq1 eulMac1 eulFla1
 
     for DB in panTro5 panPan2 gorGor5 nomLeu3 macFas5 macNem1 cerAty1 manLeu1 nasLar1 colAng1 rhiRox1 rhiBie1 saiBol1 cebCap1 aotNan1 tarSyr2 micMur3 proCoq1 eulMac1 eulFla1
 do
     hgsql -N -e "select
 name,chrom,strand,txStart,txEnd,cdsStart,cdsEnd,exonCount,exonStarts,exonEnds
 from xenoRefGene" ${DB} \
       | genePredSingleCover stdin stdout | gzip -2c \
         > /dev/shm/${DB}.tmp.gz
     mv /dev/shm/${DB}.tmp.gz genes/$DB.gp.gz
     echo -n "# ${DB}: "
     genePredCheck -db=${DB} genes/${DB}.gp.gz
 done
 # panTro5: checked: 21593 failed: 0
 # panPan2: checked: 20031 failed: 0
 # gorGor5: checked: 24721 failed: 0
 # nomLeu3: checked: 20028 failed: 0
 # macFas5: checked: 24291 failed: 0
 # macNem1: checked: 24281 failed: 0
 # cerAty1: checked: 27975 failed: 0
 # manLeu1: checked: 27196 failed: 0
 # nasLar1: checked: 29765 failed: 0
 # colAng1: checked: 24558 failed: 0
 # rhiRox1: checked: 26354 failed: 0
 # rhiBie1: checked: 26930 failed: 0
 # saiBol1: checked: 26867 failed: 0
 # cebCap1: checked: 29673 failed: 0
 # aotNan1: checked: 30988 failed: 0
 # tarSyr2: checked: 29235 failed: 0
 # micMur3: checked: 20083 failed: 0
 # proCoq1: checked: 25577 failed: 0
 # eulMac1: checked: 26918 failed: 0
 # eulFla1: checked: 27223 failed: 0
 
     # 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/aotNan1.gp.gz: 26592
 # genes/calJac3.gp.gz: 20827
 # genes/canFam3.gp.gz: 19507
 # genes/cebCap1.gp.gz: 25680
 # genes/cerAty1.gp.gz: 24658
 # genes/chlSab2.gp.gz: 19080
 # genes/colAng1.gp.gz: 22290
 # genes/dasNov3.gp.gz: 22586
 # genes/eulFla1.gp.gz: 24120
 # genes/eulMac1.gp.gz: 23994
 # genes/gorGor5.gp.gz: 22552
 # genes/mm39.gp.gz: 21554
 # genes/macFas5.gp.gz: 22206
 # genes/macNem1.gp.gz: 22243
 # genes/manLeu1.gp.gz: 24280
 # genes/micMur3.gp.gz: 19472
 # genes/mm10.gp.gz: 21100
 # genes/nasLar1.gp.gz: 25793
 # genes/nomLeu3.gp.gz: 19509
 # genes/otoGar3.gp.gz: 19472
 # genes/panPan2.gp.gz: 19596
 # genes/panTro5.gp.gz: 20327
 # genes/papAnu3.gp.gz: 19113
 # genes/ponAbe2.gp.gz: 20220
 # genes/proCoq1.gp.gz: 23134
 # genes/rheMac8.gp.gz: 20859
 # genes/rhiBie1.gp.gz: 23979
 # genes/rhiRox1.gp.gz: 23570
 # genes/saiBol1.gp.gz: 23863
 # genes/tarSyr2.gp.gz: 25017
 
 
     # kluster job to annotate each maf file
     screen -S mm39      # manage long running procedure with screen
     ssh ku
     cd /hive/data/genomes/mm39/bed/multiz35way/frames
 
     printf '#!/bin/csh -fe
 
 set C = $1
 set G = $2
 
 cat ../maf/${C}.maf | genePredToMafFrames mm39 stdin stdout \
         ${G} genes/${G}.gp.gz | gzip > parts/${C}.${G}.mafFrames.gz
 ' > runOne
 
     chmod +x runOne
 
     ls ../maf | sed -e "s/.maf//" > chr.list
     ls genes | sed -e "s/.gp.gz//" > gene.list
 
     printf '#LOOP
 runOne $(root1) $(root2) {check out exists+ parts/$(root1).$(root2).mafFrames.gz}
 #ENDLOOP
 ' > template
 
     mkdir parts
     gensub2 chr.list gene.list template jobList
     para -ram=64g create jobList
     para try ... check ... push
 # Completed: 10740 of 10740 jobs
 # CPU time in finished jobs:      39407s     656.78m    10.95h    0.46d  0.001 y
 # IO & Wait Time:                 27424s     457.07m     7.62h    0.32d  0.001 y
 # Average job time:                   6s       0.10m     0.00h    0.00d
 # Longest finished job:             360s       6.00m     0.10h    0.00d
 # Submission to last job:           881s      14.68m     0.24h    0.01d
 
     # collect all results into one file:
     cd /hive/data/genomes/mm39/bed/multiz35way/frames
     time find ./parts -type f | while read F
 do
     echo "${F}" 1>&2
     zcat ${F}
 done | sort -k1,1 -k2,2n > multiz35wayFrames.bed
     # real    2m4.953s
 
     # -rw-rw-r-- 1 468491708 Nov  3 10:30 multiz35wayFrames.bed
 
     gzip multiz35wayFrames.bed
 
     # verify there are frames on everything, should be 46 species:
     # (count from: ls genes | wc)
     zcat multiz35wayFrames.bed.gz | awk '{print $4}' | sort | uniq -c \
         | sed -e 's/^/# /;' > species.check.list
     wc -l species.check.list
     # 30
 
 #  256062 aotNan1
 #  246852 calJac3
 #  274139 canFam3
 #  251294 cebCap1
 #  258355 cerAty1
 #  214185 chlSab2
 #  244719 colAng1
 #  264484 dasNov3
 #  210815 eulFla1
 #  213386 eulMac1
 #  287686 gorGor5
 #  209184 mm39
 #  253170 macFas5
 #  257891 macNem1
 #  248164 manLeu1
 #  215472 micMur3
 #  260934 mm10
 #  187651 nasLar1
 #  230776 nomLeu3
 #  249009 otoGar3
 #  223118 panPan2
 #  223812 panTro5
 #  193979 papAnu3
 #  200343 ponAbe2
 #  210398 proCoq1
 #  228189 rheMac8
 #  239047 rhiBie1
 #  223257 rhiRox1
 #  248138 saiBol1
 #  222251 tarSyr2
 
     #   load the resulting file
     ssh hgwdev
     cd /hive/data/genomes/mm39/bed/multiz35way/frames
     time hgLoadMafFrames mm39 multiz35wayFrames multiz35wayFrames.bed.gz
     #   real    1m13.122s
 
     hgsql -e 'select count(*) from multiz35wayFrames;' mm39
     # +----------+
     # | count(*) |
     # +----------+
     # |  7046760 |
     # +----------+
 
     time featureBits -countGaps mm39 multiz35wayFrames
     # 55160112 bases of 3209286105 (1.719%) in intersection
     # real    0m44.816s
 
     #   enable the trackDb entries:
 # frames multiz35wayFrames
 # irows on
     #   zoom to base level in an exon to see codon displays
     #	appears to work OK
 
 #########################################################################
 # Phylogenetic tree from 35-way (TBD - 2013-09-13 - Hiram)
     mkdir /hive/data/genomes/mm39/bed/multiz35way/4d
     cd /hive/data/genomes/mm39/bed/multiz35way/4d
 
     # the annotated maf's are in:
     ../anno/result/*.maf
 
     # using knownGene for mm39, 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 knownGene where cdsEnd > cdsStart;" mm39 \
       | egrep -E -v "chrM|chrUn|random|_alt" > knownGene.gp
     wc -l *.gp
     #     95199 knownGene.gp
 
     # verify it is only on the chroms:
     cut -f2 knownGene.gp | sort | uniq -c | sort -rn | sed -e 's/^/    # /;'
     #    7956 chr1
     #    7306 chr19
     #    6554 chr17
     #    6371 chr11
     #    6301 chr2
     #    5794 chr12
     #    5688 chr3
     #    4971 chr16
     #    4324 chr7
     #    4277 chr6
     #    4108 chr5
     #    3751 chr14
     #    3622 chr4
     #    3580 chr8
     #    3364 chr15
     #    3076 chrX
     #    2968 chr10
     #    2961 chr9
     #    2107 chr22
     #    2091 chr20
     #    1703 chr18
     #    1175 chr13
     #     935 chr21
     #     216 chrY
 
     genePredSingleCover knownGene.gp stdout | sort > knownGeneNR.gp
     wc -l knownGeneNR.gp
     #	19306 knownGeneNR.gp
 
     ssh ku
     mkdir /hive/data/genomes/mm39/bed/multiz35way/4d/run
     cd /hive/data/genomes/mm39/bed/multiz35way/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/mm39/bed/multiz35way"
 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}' $r/4d/knownGeneNR.gp | sed -e "s/\t$c\t/\tmm39.$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/mm39/bed/multiz35way/anno/result/*.maf \
 	| sed -e "s#.*multiz35way/anno/result/##" \
         | egrep -E -v "chrM|chrUn|random|_alt" > maf.list
 
     printf '#LOOP
 4d.csh $(root1) $(path1) {check out line+ ../mfa/$(root1).mfa}
 #ENDLOOP
 ' > template
 
     gensub2 maf.list single template jobList
     para -ram=64g create jobList
     para try ... check ... push ... etc...
     para time
 # Completed: 24 of 24 jobs
 # CPU time in finished jobs:       7202s     120.03m     2.00h    0.08d  0.000 y
 # IO & Wait Time:                   480s       8.00m     0.13h    0.01d  0.000 y
 # Average job time:                 320s       5.33m     0.09h    0.00d
 # Longest finished job:             706s      11.77m     0.20h    0.01d
 # Submission to last job:           718s      11.97m     0.20h    0.01d
 
     # combine mfa files
     ssh hgwdev
     cd /hive/data/genomes/mm39/bed/multiz35way/4d
     # verify no tiny files:
     ls -og mfa | sort -k3nr | tail -2
     #  -rw-rw-r-- 1  235884 Nov  3 11:25 chrY.mfa
 
     #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
     # real    0m3.182s
 
     # check they are all in there:
     grep "^>" 4d.all.mfa | wc -l
     #   30
 
     sed 's/[a-z][a-z]*_//g; s/:[0-9\.][0-9\.]*//g; s/;//; /^ *$/d' \
         mm39.35way.nh
 
     sed 's/[a-z][a-z]*_//g; s/:[0-9\.][0-9\.]*//g; s/;//; /^ *$/d' \
 	../mm39.35way.nh > tree-commas.nh
 
     # use phyloFit to create tree model (output is phyloFit.mod)
     time /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    8m6.444s
 
     mv phyloFit.mod all.mod
 
     grep TREE all.mod
 # ((((((((((((mm39:0.0101811,panTro5:0.00256557):0.00168527,
 # panPan2:0.00255779):0.00567544,gorGor5:0.00857055):0.0093291,
 # ponAbe2:0.0183757):0.00328934,nomLeu3:0.022488):0.0111201,
 # (((((rheMac8:0.00266214,(macFas5:0.00218171,
 # macNem1:0.00424092):0.00171674):0.00606702,cerAty1:0.00671556):0.00164923,
 # papAnu3:0.00691761):0.00171877,(chlSab2:0.0163497,
 # manLeu1:0.00699129):0.00165863):0.00933639,((nasLar1:0.00768293,
 # colAng1:0.0163932):0.00167418,(rhiRox1:0.00213201,
 # rhiBie1:0.00222829):0.00577271):0.0104228):0.0214064):0.0206136,
 # (((calJac3:0.0358464,saiBol1:0.0324064):0.00173657,
 # cebCap1:0.0283117):0.00202114,aotNan1:0.0232387):0.0378592):0.0606754,
 # tarSyr2:0.142222):0.011174,(((micMur3:0.0563648,
 # proCoq1:0.0388184):0.00530425,(eulMac1:0.00218443,
 # eulFla1:0.00228562):0.0410542):0.0370791,
 # otoGar3:0.132725):0.0335535):0.0178619,mm10:0.344583):0.0241482,
 # canFam3:0.163902):0.0880829,dasNov3:0.0880829);
 
     # compare these calculated lengths to what we started with
 
     /cluster/bin/phast/all_dists ../mm39.35way.nh  | grep mm39 \
 	| sed -e "s/mm39.//;" | sort > original.dists
 
     grep TREE all.mod | sed -e 's/TREE: //;' \
        | /cluster/bin/phast/all_dists /dev/stdin | grep mm39 \
           | sed -e "s/mm39.//;"  | sort > mm39.dists
 
     # printing out the 'original', the 'new' the 'difference' and
     #    percent difference/delta
     join original.dists mm39.dists | awk '{
   printf "#\t%s\t%8.6f\t%8.6f\t%8.6f\t%8.6f\n", $1, $2, $3, $2-$3, 100*($2-$3)/$3 }'       | sort -k4n
 #       panTro5 0.013390        0.012747        0.000643        5.044324
 #       panPan2 0.015610        0.014424        0.001186        8.222407
 #       gorGor5 0.019734        0.026112        -0.006378       -24.425551
 #       ponAbe2 0.039403        0.045247        -0.005844       -12.915773
 #       nomLeu3 0.046204        0.052648        -0.006444       -12.239781
 #       papAnu3 0.079626        0.080660        -0.001034       -1.281924
 #       manLeu1 0.090974        0.080673        0.010301        12.768832
 #       rhiRox1 0.075474        0.081014        -0.005540       -6.838324
 #       rhiBie1 0.075474        0.081111        -0.005637       -6.949736
 #       cerAty1 0.082584        0.082107        0.000477        0.580949
 #       nasLar1 0.075474        0.082467        -0.006993       -8.479756
 #       rheMac8 0.079575        0.084120        -0.004545       -5.402996
 #       macFas5 0.079575        0.085357        -0.005782       -6.773903
 #       macNem1 0.081584        0.087416        -0.005832       -6.671548
 #       chlSab2 0.087974        0.090031        -0.002057       -2.284769
 #       colAng1 0.075574        0.091177        -0.015603       -17.112868
 #       aotNan1 0.102804        0.122992        -0.020188       -16.414076
 #       cebCap1 0.108804        0.130086        -0.021282       -16.359946
 #       saiBol1 0.087804        0.135917        -0.048113       -35.398810
 #       calJac3 0.107454        0.139357        -0.031903       -22.893001
 #       eulMac1 0.190934        0.247615        -0.056681       -22.890778
 #       eulFla1 0.190934        0.247716        -0.056782       -22.922217
 #       proCoq1 0.230934        0.248499        -0.017565       -7.068439
 #       tarSyr2 0.221294        0.264791        -0.043497       -16.426918
 #       micMur3 0.236534        0.266045        -0.029511       -11.092484
 #       otoGar3 0.270334        0.300022        -0.029688       -9.895274
 #       canFam3 0.332429        0.339655        -0.007226       -2.127453
 #       dasNov3 0.366691        0.351919        0.014772        4.197557
 #       mm10    0.502391        0.496188        0.006203        1.250131
 
 #########################################################################
 # phastCons 35-way (TBD - 2015-05-07 - Hiram)
     # split 35way mafs into 10M chunks and generate sufficient statistics
     # files for # phastCons
     ssh ku
     mkdir -p /hive/data/genomes/mm39/bed/multiz35way/cons/ss
     mkdir -p /hive/data/genomes/mm39/bed/multiz35way/cons/msa.split
     cd /hive/data/genomes/mm39/bed/multiz35way/cons/msa.split
 
     cat << '_EOF_' > doSplit.csh
 #!/bin/csh -ef
 set c = $1
 set MAF = /hive/data/genomes/mm39/bed/multiz35way/anno/result/$c.maf
 set WINDOWS = /hive/data/genomes/mm39/bed/multiz35way/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 3000000,0 -I 300 -B 5000
 endif
 popd > /dev/null
 date >> $2
 rm -f $2.running
 '_EOF_'
     # << happy emacs
     chmod +x doSplit.csh
 
     cat << '_EOF_' > template
     printf '#LOOP
 doSplit.csh $(root1) {check out line+ $(root1).done}
 #ENDLOOP
 ' > template
 
 F_' > doSplit.csh
 #!/bin/csh -ef
 set c = $1
 set MAF = /hive/data/genomes/mm39/bed/multiz35way/anno/result/$c.maf
 set WINDOWS = /hive/data/genomes/mm39/bed/multiz35way/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 3000000,0 -I 300 -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
 
 #	do the easy ones first to see some immediate results
     ls -1S -r ../../anno/result | sed -e "s/.maf//;" > maf.list
     # all can finish OK at a 64Gb memory limit
     gensub2 maf.list single template jobList
     para -ram=64g create jobList
     para try ... check ... etc
     para push
 # Completed: 358 of 358 jobs
 # CPU time in finished jobs:      13099s     218.32m     3.64h    0.15d  0.000 y
 # IO & Wait Time:                  1841s      30.68m     0.51h    0.02d  0.000 y
 # Average job time:                  42s       0.70m     0.01h    0.00d
 # Longest finished job:            1393s      23.22m     0.39h    0.02d
 # Submission to last job:          1468s      24.47m     0.41h    0.02d
 
     # 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/mm39/bed/multiz35way/cons/run.cons
     cd /hive/data/genomes/mm39/bed/multiz35way/cons/run.cons
 
     #	This is setup for multiple runs based on subsets, but only running
     #   the 'all' subset here.
     #   It triggers off of the current working directory
     #	$cwd:t which is the "grp" in this script.  Running:
     #	all and vertebrates
 
     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/mm39/bed/multiz35way/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 +x doPhast.csh
 
     #	this template will serve for all runs
     #	root1 == chrom name, file1 == ss file name without .ss suffix
     printf '#LOOP
 ../run.cons/doPhast.csh $(root1) $(file1) 45 0.3 0.3 {check out line+ pp/$(root1)/$(file1).pp}
 #ENDLOOP
 ' > template
 
     ls -1S ../ss/chr*/chr* | sed -e "s/.ss$//" > ss.list
     wc -l ss.list
     #	1337 ss.list
 
     # Create parasol batch and run it
     # run for all species
     cd /hive/data/genomes/mm39/bed/multiz35way/cons
     mkdir -p all
     cd all
     #	Using the .mod tree
     cp -p ../../4d/all.mod ./all.mod
 
     gensub2 ../run.cons/ss.list single ../run.cons/template jobList
     # beware overwhelming the cluster with these fast running high I/O jobs
     para -ram=32g create jobList
     para try ... check ...
     para -maxJob=16 push
 # Completed: 1337 of 1337 jobs
 # CPU time in finished jobs:      17323s     288.72m     4.81h    0.20d  0.001 y
 # IO & Wait Time:                  9727s     162.11m     2.70h    0.11d  0.000 y
 # Average job time:                  20s       0.34m     0.01h    0.00d
 # Longest finished job:              31s       0.52m     0.01h    0.00d
 # Submission to last job:           230s       3.83m     0.06h    0.00d
 
     # create Most Conserved track
     cd /hive/data/genomes/mm39/bed/multiz35way/cons/all
     time cut -f1 ../../../../chrom.sizes | while read C
 do
     echo $C 1>&2
     ls -d bed/${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    0m50.678s
 
     # -rw-rw-r--   1 101245734 Nov  3 14:20 tmpMostConserved.bed
 
     time /cluster/bin/scripts/lodToBedScore tmpMostConserved.bed \
         > mostConserved.bed
     # real    0m24.196s
 
     # -rw-rw-r--   1 103966297 Nov  3 14:21 mostConserved.bed
 
     # load into database
     ssh hgwdev
     cd /hive/data/genomes/mm39/bed/multiz35way/cons/all
     time hgLoadBed mm39 phastConsElements35way mostConserved.bed
     #  Read 2949865 elements of size 5 from mostConserved.bed
     #  real    0m26.263s
 
     #	--rho 0.3 --expected-length 45 --target-coverage 0.3
     time featureBits mm39 -enrichment knownGene:cds phastConsElements35way
 # knownGene:cds 1.271%, phastConsElements35way 5.795%, both 0.874%, cover 68.73%, enrich 11.86x
 # real    0m21.637s
 
     # Try for 5% overall cov, and 70% CDS cov
     time featureBits mm39 -enrichment refGene:cds phastConsElements35way
 # refGene:cds 1.225%, phastConsElements35way 5.795%, both 0.863%, cover 70.50%, enrich 12.16x
 
 # real    0m22.260s
 
     # Create merged posterier probability file and wiggle track data files
     cd /hive/data/genomes/mm39/bed/multiz35way/cons/all
     mkdir downloads
 
     time for D in `ls -d pp/chr* | sed -e 's#pp/##'`
 do
     echo "working: $D" 1>&2
     find ./pp/${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}.phastCons35way.wigFix.gz
 done
     # real    32m29.089s
 
 
     #	encode those files into wiggle data
     time (zcat downloads/*.wigFix.gz \
 	| wigEncode stdin phastCons35way.wig phastCons35way.wib)
     #   Converted stdin, upper limit 1.00, lower limit 0.00
     #   real    15m40.010s
 
     du -hsc *.wi?
     # 2.8G    phastCons35way.wib
     # 283M    phastCons35way.wig
 
     #	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:
 export sizeG=188743680
 ulimit -d $sizeG
 ulimit -v $sizeG
     time (zcat downloads/*.wigFix.gz \
       | wigToBigWig -verbose=2 stdin \
 	../../../../chrom.sizes phastCons35way.bw) > bigWig.log 2>&1
     egrep "VmPeak|real" bigWig.log
     # pid=37111: VmPeak:    33886864 kB
     # real    42m13.614s
 
     # -rw-rw-r--   1 7077152013 Nov  6 08:52 phastCons35way.bw
 
 
     bigWigInfo phastCons35way.bw
 version: 4
 isCompressed: yes
 isSwapped: 0
 primaryDataSize: 5,097,637,987
 primaryIndexSize: 93,372,648
 zoomLevels: 10
 chromCount: 355
 basesCovered: 2,955,660,600
 mean: 0.128025
 min: 0.000000
 max: 1.000000
 std: 0.247422
 
     #	if you wanted to use the bigWig file, loading bigWig table:
     #   but we don't use the bigWig file
     mkdir /gbdb/mm39/bbi
     ln -s `pwd`/phastCons35way.bw /gbdb/mm39/bbi
     hgsql mm39 -e 'drop table if exists phastCons35way; \
             create table phastCons35way (fileName varchar(255) not null); \
             insert into phastCons35way values
 	("/gbdb/mm39/bbi/phastCons35way.bw");'
 
     # Load gbdb and database with wiggle.
     ssh hgwdev
     cd /hive/data/genomes/mm39/bed/multiz35way/cons/all
     ln -s `pwd`/phastCons35way.wib /gbdb/mm39/multiz35way/phastCons35way.wib
     time hgLoadWiggle -pathPrefix=/gbdb/mm39/multiz35way mm39 \
 	phastCons35way phastCons35way.wig
     #   real    0m32.272s
 
     time wigTableStats.sh mm39 phastCons35way
 # db.table            min max   mean       count     sumData
 # mm39.phastCons35way     0 1 0.128025 2955660600 3.78397e+08
 #       stdDev viewLimits
 #     0.247422 viewLimits=0:1
 # real    0m13.507s
 
     #  Create histogram to get an overview of all the data
     ssh hgwdev
     cd /hive/data/genomes/mm39/bed/multiz35way/cons/all
     time hgWiggle -doHistogram -db=mm39 \
 	-hBinSize=0.001 -hBinCount=300 -hMinVal=0.0 -verbose=2 \
 	    phastCons35way > histogram.data 2>&1
     #	real    2m38.952s
 
     #	create plot of histogram:
 
     printf 'set terminal png small x000000 xffffff xc000ff x66ff66 xffff00 x00ffff font \
 "/usr/share/fonts/default/Type1/n022004l.pfb"
 set size 1.4, 0.8
 set key left box
 set grid noxtics
 set grid ytics
 set title " Human Mm39 Histogram phastCons35way track"
 set xlabel " phastCons35way 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
 ' | gnuplot > histo.png
 
     # take a look to see if it is sane:
 
     display histo.png &
 
 #########################################################################
 # phyloP for 35-way (TBD - 2017-11-06 - Hiram)
 #
     # split SS files into 1M chunks, this business needs smaller files
     #   to complete
 
     ssh ku
     mkdir /hive/data/genomes/mm39/bed/multiz35way/consPhyloP
     cd /hive/data/genomes/mm39/bed/multiz35way/consPhyloP
     mkdir ss run.split
     cd run.split
 
     printf '#!/bin/csh -ef
 set c = $1
 set MAF = /hive/data/genomes/mm39/bed/multiz35way/anno/result/$c.maf
 set WINDOWS = /hive/data/genomes/mm39/bed/multiz35way/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
 ' > doSplit.csh
 
     chmod +x doSplit.csh
 
     #	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:
     printf '#LOOP
 ./doSplit.csh $(root1) $(root1).done
 #ENDLOOP
 ' > template
 
     gensub2 maf.list single template jobList
     # all can complete successfully at the 64Gb memory limit
     para -ram=64g create jobList
     para try ... check ... push ... etc...
 
 # Completed: 358 of 358 jobs
 # CPU time in finished jobs:      13512s     225.20m     3.75h    0.16d  0.000 y
 # IO & Wait Time:                  1646s      27.43m     0.46h    0.02d  0.000 y
 # Average job time:                  42s       0.71m     0.01h    0.00d
 # Longest finished job:            1494s      24.90m     0.41h    0.02d
 # Submission to last job:          1717s      28.62m     0.48h    0.02d
 
     # run phyloP with score=LRT
     ssh ku
     mkdir /cluster/data/mm39/bed/multiz35way/consPhyloP
     cd /cluster/data/mm39/bed/multiz35way/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 BACK ../../4d/all.mod
     #   BACKGROUND: 0.207173 0.328301 0.237184 0.227343
 
     grep BACKGROUND ../../4d/all.mod | awk '{printf "%0.3f\n", $3 + $4}'
     #	0.565
     /cluster/bin/phast.build/cornellCVS/phast.2010-12-30/bin/modFreqs \
 	../../4d/all.mod 0.565 > all.mod
     # verify, the BACKGROUND should now be paired up:
     grep BACK all.mod
     #   BACKGROUND: 0.217500 0.282500 0.282500 0.217500
 
     printf '#!/bin/csh -fe
 set PHASTBIN = /cluster/bin/phast.build/cornellCVS/phast.2010-12-30/bin
 set f = $1
 set ssFile = $1:t
 set out = $2
 set cName = $f:h
 set n = $f:r:e
 set grp = $cwd:t
 set cons = /hive/data/genomes/mm39/bed/multiz35way/consPhyloP
 set tmp = $cons/tmp/$grp/$f
 /bin/rm -fr $tmp
 /bin/mkdir -p $tmp
 set ssSrc = "$cons/ss/$cName/$ssFile"
 set useGrp = "$grp.mod"
 /bin/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
 /bin/mkdir -p $out:h
 sleep 4
 /bin/touch $out:h
 /bin/mv $tmp/$ssFile.wigFix $out
 /bin/rm -fr $tmp
 /bin/rmdir --ignore-fail-on-non-empty $cons/tmp/$grp
 /bin/rmdir --ignore-fail-on-non-empty $cons/tmp
 ' > doPhyloP.csh
 
     chmod +x doPhyloP.csh
 
     # Create list of chunks
     find ../ss -type f | sed -e "s/.ss$//; s#../ss/##;" > ss.list
     # make sure the list looks good
     wc -l ss.list
     #	3308 ss.list
 
     # Create template file
     #	file1 == $chr/$chunk/file name without .ss suffix
     printf '#LOOP
 ../run.phyloP/doPhyloP.csh $(path1) {check out line+ wigFix/$(dir1)/$(file1).wigFix}
 #ENDLOOP
 ' > template
 
     ######################   Running all species  #######################
     # setup run for all species
     mkdir /hive/data/genomes/mm39/bed/multiz35way/consPhyloP/all
     cd /hive/data/genomes/mm39/bed/multiz35way/consPhyloP/all
     rm -fr wigFix
     mkdir wigFix
 
     gensub2 ../run.phyloP/ss.list single ../run.phyloP/template jobList
     # beware overloading the cluster with these quick and high I/O jobs
     para -ram=32g create jobList
     para try ... check ...
     para -maxJob=16 push
     para time > run.time
 
 # Completed: 3308 of 3308 jobs
 # CPU time in finished jobs:     647954s   10799.23m   179.99h    7.50d  0.021 y
 # IO & Wait Time:                 22374s     372.90m     6.22h    0.26d  0.001 y
 # Average job time:                 203s       3.38m     0.06h    0.00d
 # Longest finished job:             349s       5.82m     0.10h    0.00d
 # Submission to last job:          3226s      53.77m     0.90h    0.04d
 
     mkdir downloads
     time for D in `ls -d wigFix/chr* | sed -e 's#wigFix/##'`
 do
     echo "working: $D" 1>&2
     find ./wigFix/${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}.phyloP35way.wigFix.gz
 done
     #   real    48m50.219s
 
     du -hsc downloads
     #   4.6G    downloads
 
     # check integrity of data with wigToBigWig
     time (zcat downloads/*.wigFix.gz \
 	| wigToBigWig -verbose=2 stdin /hive/data/genomes/mm39/chrom.sizes \
 	phyloP35way.bw) > bigWig.log 2>&1
 
 
     egrep "real|VmPeak" bigWig.log
     # pid=66292: VmPeak:    33751268 kB
     #  real    43m40.194s
 
 
     bigWigInfo phyloP35way.bw  | sed -e 's/^/# /;'
 # version: 4
 # isCompressed: yes
 # isSwapped: 0
 # primaryDataSize: 6,304,076,591
 # primaryIndexSize: 93,404,704
 # zoomLevels: 10
 # chromCount: 355
 # basesCovered: 2,955,660,581
 # mean: 0.097833
 # min: -20.000000
 # max: 1.312000
 # std: 0.727453
 
     #	encode those files into wiggle data
     time (zcat downloads/*.wigFix.gz \
 	| wigEncode stdin phyloP35way.wig phyloP35way.wib)
 
 # Converted stdin, upper limit 1.31, lower limit -20.00
 # real    17m36.880s
 # -rw-rw-r--   1 2955660581 Nov  6 14:10 phyloP35way.wib
 # -rw-rw-r--   1  304274846 Nov  6 14:10 phyloP35way.wig
 
     du -hsc *.wi?
     # 2.8G    phyloP35way.wib
     # 291M    phyloP35way.wig
 
     # Load gbdb and database with wiggle.
     ln -s `pwd`/phyloP35way.wib /gbdb/mm39/multiz35way/phyloP35way.wib
     time hgLoadWiggle -pathPrefix=/gbdb/mm39/multiz35way mm39 \
 	phyloP35way phyloP35way.wig
     # real    0m30.538s
 
     # use to set trackDb.ra entries for wiggle min and max
     # and verify table is loaded correctly
 
     wigTableStats.sh mm39 phyloP35way
 # db.table          min   max     mean       count     sumData
 # mm39.phyloP35way  -20 1.312 0.0978331 2955660581 2.89162e+08
 #       stdDev viewLimits
 #     0.727453 viewLimits=-3.53943:1.312
 
     #	that range is: 20+1.312= 21.312 for hBinSize=0.021312
 
     #  Create histogram to get an overview of all the data
     time hgWiggle -doHistogram \
 	-hBinSize=0.021312 -hBinCount=1000 -hMinVal=-20 -verbose=2 \
 	    -db=mm39 phyloP35way > histogram.data 2>&1
     #   real    2m43.313s
 
     # xaxis range:
     grep -v chrom histogram.data | grep "^[0-9]" | ave -col=2 stdin \
 	| sed -e 's/^/# /;'
 # Q1 -10.953050
 # median -6.861155
 # Q3 -2.769245
 # average -6.875971
 # min -20.000000
 # max 1.312000
 # count 768
 # total -5280.745380
 # standard deviation 4.757034
 
     # find out the range for the 2:5 graph
     grep -v chrom histogram.data | grep "^[0-9]" | ave -col=5 stdin \
       | sed -e 's/^/# /;'
 # Q1 0.000000
 # median 0.000001
 # Q3 0.000140
 # average 0.001302
 # min 0.000000
 # max 0.023556
 # count 768
 # total 0.999975
 # standard deviation 0.003490
 
     #	create plot of histogram:
     printf 'set terminal png small x000000 xffffff xc000ff x66ff66 xffff00 x00ffff font \
 "/usr/share/fonts/default/Type1/n022004l.pfb"
 set size 1.4, 0.8
 set key left box
 set grid noxtics
 set grid ytics
 set title " Human mm39 Histogram phyloP35way track"
 set xlabel " phyloP35way score"
 set ylabel " Relative Frequency"
 set y2label " Cumulative Relative Frequency (CRF)"
 set y2range [0:1]
 set y2tics
 set xrange [-5:1.5]
 set yrange [0:0.04]
 
 plot "histogram.data" using 2:5 title " RelFreq" with impulses, \
         "histogram.data" using 2:7 axes x1y2 title " CRF" with lines
 ' | gnuplot > histo.png
 
     # verify it looks sane
     display histo.png &
 
 #############################################################################
 # construct download files for 35-way (TBD - 2015-04-15 - Hiram)
     mkdir /usr/local/apache/htdocs-hgdownload/goldenPath/mm39/multiz35way
     mkdir /usr/local/apache/htdocs-hgdownload/goldenPath/mm39/phastCons35way
     mkdir /usr/local/apache/htdocs-hgdownload/goldenPath/mm39/phyloP35way
     mkdir /hive/data/genomes/mm39/bed/multiz35way/downloads
     cd /hive/data/genomes/mm39/bed/multiz35way/downloads
     mkdir multiz35way phastCons35way phyloP35way
 
     #########################################################################
     ## create upstream refGene maf files
     cd /hive/data/genomes/mm39/bed/multiz35way/downloads/multiz35way
     # bash script
 
 #!/bin/sh
 export geneTbl="refGene"
 for S in 300 2000 5000
 do
     echo "making upstream${S}.maf"
     featureBits mm39 ${geneTbl}:upstream:${S} -fa=/dev/null -bed=stdout \
         | perl -wpe 's/_up[^\t]+/\t0/' | sort -k1,1 -k2,2n \
         | /cluster/bin/$MACHTYPE/mafFrags mm39 multiz35way \
                 stdin stdout \
                 -orgs=/hive/data/genomes/mm39/bed/multiz35way/species.list \
         | gzip -c > upstream${S}.${geneTbl}.maf.gz
     echo "done upstream${S}.${geneTbl}.maf.gz"
 done
 
     #   real    88m40.730s
 
 -rw-rw-r-- 1   52659159 Nov  6 11:46 upstream300.knownGene.maf.gz
 -rw-rw-r-- 1  451126665 Nov  6 12:15 upstream2000.knownGene.maf.gz
 -rw-rw-r-- 1 1080533794 Nov  6 12:55 upstream5000.knownGene.maf.gz
 
     ######################################################################
     ## compress the maf files
     cd /hive/data/genomes/mm39/bed/multiz35way/downloads/multiz35way
     mkdir maf
     rsync -a -P ../../anno/result/ ./maf/
     du -hsc maf/
     # 156G    maf
     cd maf
     time gzip *.maf &
     # real    135m1.784s
 
     du -hscL maf ../../anno/result/
     #  18G     maf
 
     cd maf
     md5sum *.maf.gz *.nh > md5sum.txt
 
     mkdir /usr/local/apache/htdocs-hgdownload/goldenPath/mm39/multiz35way/maf
     cd maf
     ln -s `pwd`/* /usr/local/apache/htdocs-hgdownload/goldenPath/mm39/multiz35way/maf
     cd --
     ln -s `pwd`/*.maf.gz `pwd`/*.nh `pwd`/*.txt \
          /usr/local/apache/htdocs-hgdownload/goldenPath/mm39/multiz35way/
 
     ###########################################################################
 
     cd /hive/data/genomes/mm39/bed/multiz35way/downloads/multiz35way
     grep TREE ../../4d/all.mod | awk '{print $NF}' \
       | ~/kent/src/hg/utils/phyloTrees/asciiTree.pl /dev/stdin \
          > mm39.35way.nh
     ~/kent/src/hg/utils/phyloTrees/commonNames.sh mm39.35way.nh \
       | ~/kent/src/hg/utils/phyloTrees/asciiTree.pl /dev/stdin \
          > mm39.35way.commonNames.nh
     ~/kent/src/hg/utils/phyloTrees/scientificNames.sh mm39.35way.nh \
 	| $HOME/kent/src/hg/utils/phyloTrees/asciiTree.pl /dev/stdin \
 	    > mm39.35way.scientificNames.nh
     time md5sum *.nh *.maf.gz > md5sum.txt
     #   real    0m3.147s
 
     ln -s `pwd`/*.maf.gz `pwd`/*.nh \
         /usr/local/apache/htdocs-hgdownload/goldenPath/mm39/multiz35way
 
     du -hsc ./maf ../../anno/result
     #  18G     ./maf
     # 156G    ../../anno/result
 
     # obtain the README.txt from mm39/multiz20way and update for this
     #   situation
     ln -s `pwd`/*.txt \
          /usr/local/apache/htdocs-hgdownload/goldenPath/mm39/multiz35way/
 
     #####################################################################
     cd /hive/data/genomes/mm39/bed/multiz35way/downloads/phastCons35way
 
     mkdir mm39.35way.phastCons
     cd mm39.35way.phastCons
     ln -s ../../../cons/all/downloads/*.wigFix.gz .
     md5sum *.gz > md5sum.txt
 
     cd /hive/data/genomes/mm39/bed/multiz35way/downloads/phastCons35way
     ln -s ../../cons/all/phastCons35way.bw ./mm39.phastCons35way.bw
     ln -s ../../cons/all/all.mod ./mm39.phastCons35way.mod
     time md5sum *.mod *.bw > md5sum.txt
     #   real    0m20.354s
 
     # obtain the README.txt from mm39/phastCons20way and update for this
     mkdir /usr/local/apache/htdocs-hgdownload/goldenPath/mm39/phastCons35way/mm39.35way.phastCons
     cd mm39.35way.phastCons
     ln -s `pwd`/* /usr/local/apache/htdocs-hgdownload/goldenPath/mm39/phastCons35way/mm39.35way.phastCons
 
     cd ..
     #   situation
     ln -s `pwd`/*.mod `pwd`/*.bw `pwd`/*.txt \
       /usr/local/apache/htdocs-hgdownload/goldenPath/mm39/phastCons35way
 
     #####################################################################
     cd /hive/data/genomes/mm39/bed/multiz35way/downloads/phyloP35way
 
     mkdir mm39.35way.phyloP
     cd mm39.35way.phyloP
 
     ln -s ../../../consPhyloP/all/downloads/*.wigFix.gz .
     md5sum *.wigFix.gz > md5sum.txt
 
     cd ..
 
     ln -s ../../consPhyloP/run.phyloP/all.mod mm39.phyloP35way.mod
     ln -s ../../consPhyloP/all/phyloP35way.bw mm39.phyloP35way.bw
 
     md5sum *.mod *.bw > md5sum.txt
 
     # obtain the README.txt from mm39/phyloP20way and update for this
     mkdir /usr/local/apache/htdocs-hgdownload/goldenPath/mm39/phyloP35way/mm39.35way.phyloP
     cd mm39.35way.phyloP
     ln -s `pwd`/* \
 /usr/local/apache/htdocs-hgdownload/goldenPath/mm39/phyloP35way/mm39.35way.phyloP
 
     cd ..
 
     #   situation
     ln -s `pwd`/*.mod `pwd`/*.bw `pwd`/*.txt \
       /usr/local/apache/htdocs-hgdownload/goldenPath/mm39/phyloP35way
 
 #############################################################################
 # hgPal downloads (TBD - 2017-11-06 - Hiram)
 #   FASTA from 35-way for knownGene, refGene and knownCanonical
 
     ssh hgwdev
     screen -S mm39HgPal
     mkdir /hive/data/genomes/mm39/bed/multiz35way/pal
     cd /hive/data/genomes/mm39/bed/multiz35way/pal
     cat ../species.list | tr '[ ]' '[\n]' > order.list
 
     ### knownCanonical with full CDS
     cd /hive/data/genomes/mm39/bed/multiz35way/pal
     export mz=multiz35way
     export gp=knownCanonical
     export db=mm39
     mkdir exonAA exonNuc knownCanonical
 
     time cut -f1 ../../../chrom.sizes | while read C
     do
         echo $C 1>&2
 	hgsql mm39 -N -e "select chrom, chromStart, chromEnd, transcript from knownCanonical where chrom='$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 -noTrans $db $mz knownGene order.list stdout | \
 	    gzip -c > protNuc/$C.protNuc.fa.gz"
 	echo "mafGene -geneBeds=knownCanonical/$C.known.bed $db $mz knownGene order.list stdout | \
 	    gzip -c > protAA/$C.protAA.fa.gz"
     done > $gp.$mz.prot.jobs
 
     time sh -x $gp.$mz.jobs > $gp.$mz.job.log 2>&1 
     # 267m58.813s
 
     rm *.known.bed
     export mz=multiz35way
     export gp=knownCanonical
     export db=mm39
     zcat protAA/c*.gz | gzip -c > $gp.$mz.protAA.fa.gz &
     zcat protNuc/c*.gz | gzip -c > $gp.$mz.protNuc.fa.gz &
     # about 6 minutes
 
     ### knownCanonical broken up by exon
     cd /hive/data/genomes/mm39/bed/multiz100way/pal
     export mz=multiz100way
     export gp=knownCanonical
     export db=mm39
     mkdir exonAA exonNuc knownCanonical
 
     time cut -f1 ../../../chrom.sizes | while read C
     do
         echo $C 1>&2
 	hgsql mm39 -N -e "select chrom, chromStart, chromEnd, transcript from knownCanonical where chrom='$C'" > knownCanonical/$C.known.bed
     done
     #   real    0m15.897s
 
     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 -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 
     # 267m58.813s
 
     rm *.known.bed
     export mz=multiz35way
     export gp=knownCanonical
     export db=mm39
     zcat exonAA/c*.gz | gzip -c > $gp.$mz.exonAA.fa.gz &
     zcat exonNuc/c*.gz | gzip -c > $gp.$mz.exonNuc.fa.gz &
     # about 6 minutes
 
     rm -rf exonAA exonNuc
 
     export mz=multiz100way
     export gp=knownCanonical
     export db=mm39
     export 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
     ln -s `pwd`/$gp.$mz.protAA.fa.gz $pd/$gp.protAA.fa.gz
     ln -s `pwd`/$gp.$mz.protNuc.fa.gz $pd/$gp.protNuc.fa.gz
     cd  $pd
     md5sum *.fa.gz > md5sum.txt
 
     rm -rf exonAA exonNuc
 
     export mz=multiz35way
     export gp=knownCanonical
     export db=mm39
     export 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
 
     # knownGene
     export mz=multiz35way
     export gp=knownGene
     export db=mm39
     export I=0
     export D=0
     mkdir exonAA exonNuc
     for C in `sort -nk2 ../../../chrom.sizes | cut -f1`
     do
         I=`echo $I | awk '{print $1+1}'`
         D=`echo $D | awk '{print $1+1}'`
         dNum=`echo $D | awk '{printf "%03d", int($1/300)}'`
         mkdir -p exonNuc/${dNum} > /dev/null
         mkdir -p exonAA/${dNum} > /dev/null
 	echo "mafGene -chrom=$C -exons -noTrans $db $mz $gp order.list stdout | gzip -c > exonNuc/${dNum}/$C.exonNuc.fa.gz &"
 	echo "mafGene -chrom=$C -exons $db $mz $gp order.list stdout | gzip -c > exonAA/${dNum}/$C.exonAA.fa.gz &"
         if [ $I -gt 16 ]; 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    79m18.323s
 
     export mz=multiz35way
     export gp=knownGene
     time find ./exonAA -type f | grep exonAA.fa.gz | xargs zcat \
      | gzip -c > $gp.$mz.exonAA.fa.gz
     # real    1m28.841s
 
     time find ./exonNuc -type f | grep exonNuc.fa.gz | xargs zcat \
      | gzip -c > $gp.$mz.exonNuc.fa.gz
     #   real    3m56.370s
 
     # -rw-rw-r-- 1 397928833 Nov  6 18:44 knownGene.multiz35way.exonAA.fa.gz
     # -rw-rw-r-- 1 580377720 Nov  6 18:49 knownGene.multiz35way.exonNuc.fa.gz
 
     export mz=multiz35way
     export gp=knownGene
     export db=mm39
     export 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
     ln -s `pwd`/md5sum.txt $pd/
 
     cd  $pd
     md5sum *.fa.gz > md5sum.txt
 
     rm -rf exonAA exonNuc
 
 #############################################################################
 # wiki page for 35-way (TBD - 2017-11-06 - Hiram)
     mkdir /hive/users/hiram/bigWays/mm39.35way
     cd /hive/users/hiram/bigWays
     echo "mm39" > mm39.35way/ordered.list
     awk '{print $1}' /hive/data/genomes/mm39/bed/multiz35way/35way.distances.txt \
        >> mm39.35way/ordered.list
 
     # sizeStats.sh catches up the cached measurements required for data
     # in the tables.  They are usually already mostly done, only new
     # assemblies will have updates.
     ./sizeStats.sh mm39.35way/ordered.list
     # dbDb.sh constructs mm39.35way/XenTro9_35-way_conservation_alignment.html
     # may need to add new assembly references to srcReference.list and
     # urlReference.list
     ./dbDb.sh mm39 35way
     # sizeStats.pl constructs mm39.35way/XenTro9_35-way_Genome_size_statistics.html
     # this requires entries in coverage.list for new sequences
     ./sizeStats.pl mm39 35way
 
     # defCheck.pl constructs XenTro9_35-way_conservation_lastz_parameters.html
     ./defCheck.pl mm39 35way
 
     # this constructs the html pages in mm39.35way/:
 # -rw-rw-r-- 1 6247 May  2 17:07 XenTro9_35-way_conservation_alignment.html
 # -rw-rw-r-- 1 8430 May  2 17:09 XenTro9_35-way_Genome_size_statistics.html
 # -rw-rw-r-- 1 5033 May  2 17:10 XenTro9_35-way_conservation_lastz_parameters.html
 
     # add those pages to the genomewiki.  Their page names are the
     # names of the .html files without the .html:
 #  XenTro9_35-way_conservation_alignment
 #  XenTro9_35-way_Genome_size_statistics
 #  XenTro9_35-way_conservation_lastz_parameters
 
     # when you view the first one you enter, it will have links to the
     # missing two.
 
 ############################################################################
 # pushQ readmine (TBD - 2017-11-07 - Hiram)
 
   cd /usr/local/apache/htdocs-hgdownload/goldenPath/mm39
   find -L `pwd`/multiz35way `pwd`/phastCons35way `pwd`/phyloP35way \
 	/gbdb/mm39/multiz35way -type f \
     > /hive/data/genomes/mm39/bed/multiz35way/downloads/redmine.20216.fileList
   wc -l /hive/data/genomes/mm39/bed/multiz35way/downloads/redmine.20216.fileList
 # 1450 /hive/data/genomes/mm39/bed/multiz35way/downloads/redmine.20216.fileList
 
   cd /hive/data/genomes/mm39/bed/multiz35way/downloads
   hgsql -e 'show tables;' mm39 | grep 35way \
 	| sed -e 's/^/mm39./;' > redmine.20216.table.list
 
 ############################################################################