--------------------------------------------------------------- panPan2.trackDb.html : Differences exist between hgwbeta and hgw2 (RR fields taken from public MySql server, not individual machine) 2433,2436d2432 < ncbiRefSeqGenomicDiff | html < ncbiRefSeqGenomicDiff | < ncbiRefSeqOther | html < ncbiRefSeqOther | 3974,4753d3969 < transMapEnsemblV5 | html < transMapEnsemblV5 |

Description

< transMapEnsemblV5 | < transMapEnsemblV5 |

< transMapEnsemblV5 | This track contains GENCODE or Ensembl alignments produced by < transMapEnsemblV5 | the TransMap cross-species alignment algorithm from other vertebrate < transMapEnsemblV5 | species in the UCSC Genome Browser. GENCODE is Ensembl for human and mouse, < transMapEnsemblV5 | for other Ensembl sources, only ones with full gene builds are used. < transMapEnsemblV5 | Projection Ensembl gene annotations will not be used as sources. < transMapEnsemblV5 | For closer evolutionary distances, the alignments are created using < transMapEnsemblV5 | syntenically filtered BLASTZ alignment chains, resulting in a prediction of the < transMapEnsemblV5 | orthologous genes in bonobo. < transMapEnsemblV5 |

< transMapEnsemblV5 | < transMapEnsemblV5 | < transMapEnsemblV5 |

Display Conventions and Configuration

< transMapEnsemblV5 | < transMapEnsemblV5 |

< transMapEnsemblV5 | This track follows the display conventions for < transMapEnsemblV5 | PSL alignment tracks.

< transMapEnsemblV5 |

< transMapEnsemblV5 | This track may also be configured to display codon coloring, a feature that < transMapEnsemblV5 | allows the user to quickly compare cDNAs against the genomic sequence. For more < transMapEnsemblV5 | information about this option, click < transMapEnsemblV5 | here. < transMapEnsemblV5 | Several types of alignment gap may also be colored; < transMapEnsemblV5 | for more information, click < transMapEnsemblV5 | here. < transMapEnsemblV5 | < transMapEnsemblV5 |

Methods

< transMapEnsemblV5 | < transMapEnsemblV5 |

< transMapEnsemblV5 |

    < transMapEnsemblV5 |
  1. Source transcript alignments were obtained from vertebrate organisms < transMapEnsemblV5 | in the UCSC Genome Browser Database. BLAT alignments of RefSeq Genes, GenBank < transMapEnsemblV5 | mRNAs, and GenBank Spliced ESTs to the cognate genome, along with UCSC Genes, < transMapEnsemblV5 | were used as available. < transMapEnsemblV5 |
  2. For all vertebrate assemblies that had BLASTZ alignment chains and < transMapEnsemblV5 | nets to the bonobo (panPan2) genome, a subset of the alignment chains were < transMapEnsemblV5 | selected as follows: < transMapEnsemblV5 | < transMapEnsemblV5 |
  3. The pslMap program was used to do a base-level projection of < transMapEnsemblV5 | the source transcript alignments via the selected chains < transMapEnsemblV5 | to the bonobo genome, resulting in pairwise alignments of the source transcripts to < transMapEnsemblV5 | the genome. < transMapEnsemblV5 |
  4. The resulting alignments were filtered with pslCDnaFilter < transMapEnsemblV5 | with a global near-best criteria of 0.5% in finished genomes < transMapEnsemblV5 | (human and mouse) and 1.0% in other genomes. Alignments < transMapEnsemblV5 | where less than 20% of the transcript mapped were discarded. < transMapEnsemblV5 |
< transMapEnsemblV5 |

< transMapEnsemblV5 | < transMapEnsemblV5 |

< transMapEnsemblV5 | To ensure unique identifiers for each alignment, cDNA and gene accessions were < transMapEnsemblV5 | made unique by appending a suffix for each location in the source genome and < transMapEnsemblV5 | again for each mapped location in the destination genome. The format is: < transMapEnsemblV5 |

< transMapEnsemblV5 |    accession.version-srcUniq.destUniq
< transMapEnsemblV5 | 
< transMapEnsemblV5 | < transMapEnsemblV5 | Where srcUniq is a number added to make each source alignment unique, and < transMapEnsemblV5 | destUniq is added to give the subsequent TransMap alignments unique < transMapEnsemblV5 | identifiers. < transMapEnsemblV5 |

< transMapEnsemblV5 |

< transMapEnsemblV5 | For example, in the cow genome, there are two alignments of mRNA BC149621.1. < transMapEnsemblV5 | These are assigned the identifiers BC149621.1-1 and BC149621.1-2. < transMapEnsemblV5 | When these are mapped to the human genome, BC149621.1-1 maps to a single < transMapEnsemblV5 | location and is given the identifier BC149621.1-1.1. However, BC149621.1-2 < transMapEnsemblV5 | maps to two locations, resulting in BC149621.1-2.1 and BC149621.1-2.2. Note < transMapEnsemblV5 | that multiple TransMap mappings are usually the result of tandem duplications, where both < transMapEnsemblV5 | chains are identified as syntenic. < transMapEnsemblV5 |

< transMapEnsemblV5 | < transMapEnsemblV5 |

Data Access

< transMapEnsemblV5 | < transMapEnsemblV5 |

< transMapEnsemblV5 | The raw data for these tracks can be accessed interactively through the < transMapEnsemblV5 | Table Browser or the < transMapEnsemblV5 | Data Integrator. < transMapEnsemblV5 | For automated analysis, the annotations are stored in < transMapEnsemblV5 | bigPsl files (containing a < transMapEnsemblV5 | number of extra columns) and can be downloaded from our < transMapEnsemblV5 | download server, < transMapEnsemblV5 | or queried using our API. For more < transMapEnsemblV5 | information on accessing track data see our < transMapEnsemblV5 | Track Data Access FAQ. < transMapEnsemblV5 | The files are associated with these tracks in the following way: < transMapEnsemblV5 |

< transMapEnsemblV5 | Individual regions or the whole genome annotation can be obtained using our tool < transMapEnsemblV5 | bigBedToBed which can be compiled from the source code or downloaded as < transMapEnsemblV5 | a precompiled binary for your system. Instructions for downloading source code and < transMapEnsemblV5 | binaries can be found < transMapEnsemblV5 | here. < transMapEnsemblV5 | The tool can also be used to obtain only features within a given range, for example: < transMapEnsemblV5 |

< transMapEnsemblV5 | bigBedToBed http://hgdownload.soe.ucsc.edu/gbdb/panPan2/transMap/V4/panPan2.refseq.transMapV4.bigPsl < transMapEnsemblV5 | -chrom=chr6 -start=0 -end=1000000 stdout < transMapEnsemblV5 | < transMapEnsemblV5 | < transMapEnsemblV5 |

Credits

< transMapEnsemblV5 | < transMapEnsemblV5 |

< transMapEnsemblV5 | This track was produced by Mark Diekhans at UCSC from cDNA and EST sequence data < transMapEnsemblV5 | submitted to the international public sequence databases by < transMapEnsemblV5 | scientists worldwide and annotations produced by the RefSeq, < transMapEnsemblV5 | Ensembl, and GENCODE annotations projects.

< transMapEnsemblV5 | < transMapEnsemblV5 |

References

< transMapEnsemblV5 |

< transMapEnsemblV5 | Siepel A, Diekhans M, Brejová B, Langton L, Stevens M, Comstock CL, Davis C, Ewing B, Oommen S, < transMapEnsemblV5 | Lau C et al. < transMapEnsemblV5 | < transMapEnsemblV5 | Targeted discovery of novel human exons by comparative genomics. < transMapEnsemblV5 | Genome Res. 2007 Dec;17(12):1763-73. < transMapEnsemblV5 | PMID: 17989246; PMC: PMC2099585 < transMapEnsemblV5 |

< transMapEnsemblV5 | < transMapEnsemblV5 |

< transMapEnsemblV5 | Stanke M, Diekhans M, Baertsch R, Haussler D. < transMapEnsemblV5 | < transMapEnsemblV5 | Using native and syntenically mapped cDNA alignments to improve de novo gene finding. < transMapEnsemblV5 | Bioinformatics. 2008 Mar 1;24(5):637-44. < transMapEnsemblV5 | PMID: 18218656 < transMapEnsemblV5 |

< transMapEnsemblV5 | < transMapEnsemblV5 |

< transMapEnsemblV5 | Zhu J, Sanborn JZ, Diekhans M, Lowe CB, Pringle TH, Haussler D. < transMapEnsemblV5 | < transMapEnsemblV5 | Comparative genomics search for losses of long-established genes on the human lineage. < transMapEnsemblV5 | PLoS Comput Biol. 2007 Dec;3(12):e247. < transMapEnsemblV5 | PMID: 18085818; PMC: PMC2134963 < transMapEnsemblV5 |

< transMapEnsemblV5 | < transMapEnsemblV5 | < transMapEstV5 | html < transMapEstV5 |

Description

< transMapEstV5 | < transMapEstV5 |

< transMapEstV5 | This track contains GenBank spliced EST alignments produced by < transMapEstV5 | the TransMap cross-species alignment algorithm < transMapEstV5 | from other vertebrate species in the UCSC Genome Browser. < transMapEstV5 | For closer evolutionary distances, the alignments are created using < transMapEstV5 | syntenically filtered BLASTZ alignment chains, resulting in a prediction of the < transMapEstV5 | orthologous genes in bonobo. < transMapEstV5 |

< transMapEstV5 | < transMapEstV5 | < transMapEstV5 |

Display Conventions and Configuration

< transMapEstV5 | < transMapEstV5 |

< transMapEstV5 | This track follows the display conventions for < transMapEstV5 | PSL alignment tracks.

< transMapEstV5 |

< transMapEstV5 | This track may also be configured to display codon coloring, a feature that < transMapEstV5 | allows the user to quickly compare cDNAs against the genomic sequence. For more < transMapEstV5 | information about this option, click < transMapEstV5 | here. < transMapEstV5 | Several types of alignment gap may also be colored; < transMapEstV5 | for more information, click < transMapEstV5 | here. < transMapEstV5 | < transMapEstV5 |

Methods

< transMapEstV5 | < transMapEstV5 |

< transMapEstV5 |

    < transMapEstV5 |
  1. Source transcript alignments were obtained from vertebrate organisms < transMapEstV5 | in the UCSC Genome Browser Database. BLAT alignments of RefSeq Genes, GenBank < transMapEstV5 | mRNAs, and GenBank Spliced ESTs to the cognate genome, along with UCSC Genes, < transMapEstV5 | were used as available. < transMapEstV5 |
  2. For all vertebrate assemblies that had BLASTZ alignment chains and < transMapEstV5 | nets to the bonobo (panPan2) genome, a subset of the alignment chains were < transMapEstV5 | selected as follows: < transMapEstV5 | < transMapEstV5 |
  3. The pslMap program was used to do a base-level projection of < transMapEstV5 | the source transcript alignments via the selected chains < transMapEstV5 | to the bonobo genome, resulting in pairwise alignments of the source transcripts to < transMapEstV5 | the genome. < transMapEstV5 |
  4. The resulting alignments were filtered with pslCDnaFilter < transMapEstV5 | with a global near-best criteria of 0.5% in finished genomes < transMapEstV5 | (human and mouse) and 1.0% in other genomes. Alignments < transMapEstV5 | where less than 20% of the transcript mapped were discarded. < transMapEstV5 |
< transMapEstV5 |

< transMapEstV5 | < transMapEstV5 |

< transMapEstV5 | To ensure unique identifiers for each alignment, cDNA and gene accessions were < transMapEstV5 | made unique by appending a suffix for each location in the source genome and < transMapEstV5 | again for each mapped location in the destination genome. The format is: < transMapEstV5 |

< transMapEstV5 |    accession.version-srcUniq.destUniq
< transMapEstV5 | 
< transMapEstV5 | < transMapEstV5 | Where srcUniq is a number added to make each source alignment unique, and < transMapEstV5 | destUniq is added to give the subsequent TransMap alignments unique < transMapEstV5 | identifiers. < transMapEstV5 |

< transMapEstV5 |

< transMapEstV5 | For example, in the cow genome, there are two alignments of mRNA BC149621.1. < transMapEstV5 | These are assigned the identifiers BC149621.1-1 and BC149621.1-2. < transMapEstV5 | When these are mapped to the human genome, BC149621.1-1 maps to a single < transMapEstV5 | location and is given the identifier BC149621.1-1.1. However, BC149621.1-2 < transMapEstV5 | maps to two locations, resulting in BC149621.1-2.1 and BC149621.1-2.2. Note < transMapEstV5 | that multiple TransMap mappings are usually the result of tandem duplications, where both < transMapEstV5 | chains are identified as syntenic. < transMapEstV5 |

< transMapEstV5 | < transMapEstV5 |

Data Access

< transMapEstV5 | < transMapEstV5 |

< transMapEstV5 | The raw data for these tracks can be accessed interactively through the < transMapEstV5 | Table Browser or the < transMapEstV5 | Data Integrator. < transMapEstV5 | For automated analysis, the annotations are stored in < transMapEstV5 | bigPsl files (containing a < transMapEstV5 | number of extra columns) and can be downloaded from our < transMapEstV5 | download server, < transMapEstV5 | or queried using our API. For more < transMapEstV5 | information on accessing track data see our < transMapEstV5 | Track Data Access FAQ. < transMapEstV5 | The files are associated with these tracks in the following way: < transMapEstV5 |

< transMapEstV5 | Individual regions or the whole genome annotation can be obtained using our tool < transMapEstV5 | bigBedToBed which can be compiled from the source code or downloaded as < transMapEstV5 | a precompiled binary for your system. Instructions for downloading source code and < transMapEstV5 | binaries can be found < transMapEstV5 | here. < transMapEstV5 | The tool can also be used to obtain only features within a given range, for example: < transMapEstV5 |

< transMapEstV5 | bigBedToBed http://hgdownload.soe.ucsc.edu/gbdb/panPan2/transMap/V4/panPan2.refseq.transMapV4.bigPsl < transMapEstV5 | -chrom=chr6 -start=0 -end=1000000 stdout < transMapEstV5 | < transMapEstV5 | < transMapEstV5 |

Credits

< transMapEstV5 | < transMapEstV5 |

< transMapEstV5 | This track was produced by Mark Diekhans at UCSC from cDNA and EST sequence data < transMapEstV5 | submitted to the international public sequence databases by < transMapEstV5 | scientists worldwide and annotations produced by the RefSeq, < transMapEstV5 | Ensembl, and GENCODE annotations projects.

< transMapEstV5 | < transMapEstV5 |

References

< transMapEstV5 |

< transMapEstV5 | Siepel A, Diekhans M, Brejová B, Langton L, Stevens M, Comstock CL, Davis C, Ewing B, Oommen S, < transMapEstV5 | Lau C et al. < transMapEstV5 | < transMapEstV5 | Targeted discovery of novel human exons by comparative genomics. < transMapEstV5 | Genome Res. 2007 Dec;17(12):1763-73. < transMapEstV5 | PMID: 17989246; PMC: PMC2099585 < transMapEstV5 |

< transMapEstV5 | < transMapEstV5 |

< transMapEstV5 | Stanke M, Diekhans M, Baertsch R, Haussler D. < transMapEstV5 | < transMapEstV5 | Using native and syntenically mapped cDNA alignments to improve de novo gene finding. < transMapEstV5 | Bioinformatics. 2008 Mar 1;24(5):637-44. < transMapEstV5 | PMID: 18218656 < transMapEstV5 |

< transMapEstV5 | < transMapEstV5 |

< transMapEstV5 | Zhu J, Sanborn JZ, Diekhans M, Lowe CB, Pringle TH, Haussler D. < transMapEstV5 | < transMapEstV5 | Comparative genomics search for losses of long-established genes on the human lineage. < transMapEstV5 | PLoS Comput Biol. 2007 Dec;3(12):e247. < transMapEstV5 | PMID: 18085818; PMC: PMC2134963 < transMapEstV5 |

< transMapEstV5 | < transMapEstV5 | < transMapRefSeqV5 | html < transMapRefSeqV5 |

Description

< transMapRefSeqV5 | < transMapRefSeqV5 |

< transMapRefSeqV5 | This track contains RefSeq Gene alignments produced by < transMapRefSeqV5 | the TransMap cross-species alignment algorithm < transMapRefSeqV5 | from other vertebrate species in the UCSC Genome Browser. < transMapRefSeqV5 | For closer evolutionary distances, the alignments are created using < transMapRefSeqV5 | syntenically filtered BLASTZ alignment chains, resulting in a prediction of the < transMapRefSeqV5 | orthologous genes in bonobo. < transMapRefSeqV5 |

< transMapRefSeqV5 | < transMapRefSeqV5 | < transMapRefSeqV5 |

Display Conventions and Configuration

< transMapRefSeqV5 | < transMapRefSeqV5 |

< transMapRefSeqV5 | This track follows the display conventions for < transMapRefSeqV5 | PSL alignment tracks.

< transMapRefSeqV5 |

< transMapRefSeqV5 | This track may also be configured to display codon coloring, a feature that < transMapRefSeqV5 | allows the user to quickly compare cDNAs against the genomic sequence. For more < transMapRefSeqV5 | information about this option, click < transMapRefSeqV5 | here. < transMapRefSeqV5 | Several types of alignment gap may also be colored; < transMapRefSeqV5 | for more information, click < transMapRefSeqV5 | here. < transMapRefSeqV5 | < transMapRefSeqV5 |

Methods

< transMapRefSeqV5 | < transMapRefSeqV5 |

< transMapRefSeqV5 |

    < transMapRefSeqV5 |
  1. Source transcript alignments were obtained from vertebrate organisms < transMapRefSeqV5 | in the UCSC Genome Browser Database. BLAT alignments of RefSeq Genes, GenBank < transMapRefSeqV5 | mRNAs, and GenBank Spliced ESTs to the cognate genome, along with UCSC Genes, < transMapRefSeqV5 | were used as available. < transMapRefSeqV5 |
  2. For all vertebrate assemblies that had BLASTZ alignment chains and < transMapRefSeqV5 | nets to the bonobo (panPan2) genome, a subset of the alignment chains were < transMapRefSeqV5 | selected as follows: < transMapRefSeqV5 | < transMapRefSeqV5 |
  3. The pslMap program was used to do a base-level projection of < transMapRefSeqV5 | the source transcript alignments via the selected chains < transMapRefSeqV5 | to the bonobo genome, resulting in pairwise alignments of the source transcripts to < transMapRefSeqV5 | the genome. < transMapRefSeqV5 |
  4. The resulting alignments were filtered with pslCDnaFilter < transMapRefSeqV5 | with a global near-best criteria of 0.5% in finished genomes < transMapRefSeqV5 | (human and mouse) and 1.0% in other genomes. Alignments < transMapRefSeqV5 | where less than 20% of the transcript mapped were discarded. < transMapRefSeqV5 |
< transMapRefSeqV5 |

< transMapRefSeqV5 | < transMapRefSeqV5 |

< transMapRefSeqV5 | To ensure unique identifiers for each alignment, cDNA and gene accessions were < transMapRefSeqV5 | made unique by appending a suffix for each location in the source genome and < transMapRefSeqV5 | again for each mapped location in the destination genome. The format is: < transMapRefSeqV5 |

< transMapRefSeqV5 |    accession.version-srcUniq.destUniq
< transMapRefSeqV5 | 
< transMapRefSeqV5 | < transMapRefSeqV5 | Where srcUniq is a number added to make each source alignment unique, and < transMapRefSeqV5 | destUniq is added to give the subsequent TransMap alignments unique < transMapRefSeqV5 | identifiers. < transMapRefSeqV5 |

< transMapRefSeqV5 |

< transMapRefSeqV5 | For example, in the cow genome, there are two alignments of mRNA BC149621.1. < transMapRefSeqV5 | These are assigned the identifiers BC149621.1-1 and BC149621.1-2. < transMapRefSeqV5 | When these are mapped to the human genome, BC149621.1-1 maps to a single < transMapRefSeqV5 | location and is given the identifier BC149621.1-1.1. However, BC149621.1-2 < transMapRefSeqV5 | maps to two locations, resulting in BC149621.1-2.1 and BC149621.1-2.2. Note < transMapRefSeqV5 | that multiple TransMap mappings are usually the result of tandem duplications, where both < transMapRefSeqV5 | chains are identified as syntenic. < transMapRefSeqV5 |

< transMapRefSeqV5 | < transMapRefSeqV5 |

Data Access

< transMapRefSeqV5 | < transMapRefSeqV5 |

< transMapRefSeqV5 | The raw data for these tracks can be accessed interactively through the < transMapRefSeqV5 | Table Browser or the < transMapRefSeqV5 | Data Integrator. < transMapRefSeqV5 | For automated analysis, the annotations are stored in < transMapRefSeqV5 | bigPsl files (containing a < transMapRefSeqV5 | number of extra columns) and can be downloaded from our < transMapRefSeqV5 | download server, < transMapRefSeqV5 | or queried using our API. For more < transMapRefSeqV5 | information on accessing track data see our < transMapRefSeqV5 | Track Data Access FAQ. < transMapRefSeqV5 | The files are associated with these tracks in the following way: < transMapRefSeqV5 |

< transMapRefSeqV5 | Individual regions or the whole genome annotation can be obtained using our tool < transMapRefSeqV5 | bigBedToBed which can be compiled from the source code or downloaded as < transMapRefSeqV5 | a precompiled binary for your system. Instructions for downloading source code and < transMapRefSeqV5 | binaries can be found < transMapRefSeqV5 | here. < transMapRefSeqV5 | The tool can also be used to obtain only features within a given range, for example: < transMapRefSeqV5 |

< transMapRefSeqV5 | bigBedToBed http://hgdownload.soe.ucsc.edu/gbdb/panPan2/transMap/V4/panPan2.refseq.transMapV4.bigPsl < transMapRefSeqV5 | -chrom=chr6 -start=0 -end=1000000 stdout < transMapRefSeqV5 | < transMapRefSeqV5 | < transMapRefSeqV5 |

Credits

< transMapRefSeqV5 | < transMapRefSeqV5 |

< transMapRefSeqV5 | This track was produced by Mark Diekhans at UCSC from cDNA and EST sequence data < transMapRefSeqV5 | submitted to the international public sequence databases by < transMapRefSeqV5 | scientists worldwide and annotations produced by the RefSeq, < transMapRefSeqV5 | Ensembl, and GENCODE annotations projects.

< transMapRefSeqV5 | < transMapRefSeqV5 |

References

< transMapRefSeqV5 |

< transMapRefSeqV5 | Siepel A, Diekhans M, Brejová B, Langton L, Stevens M, Comstock CL, Davis C, Ewing B, Oommen S, < transMapRefSeqV5 | Lau C et al. < transMapRefSeqV5 | < transMapRefSeqV5 | Targeted discovery of novel human exons by comparative genomics. < transMapRefSeqV5 | Genome Res. 2007 Dec;17(12):1763-73. < transMapRefSeqV5 | PMID: 17989246; PMC: PMC2099585 < transMapRefSeqV5 |

< transMapRefSeqV5 | < transMapRefSeqV5 |

< transMapRefSeqV5 | Stanke M, Diekhans M, Baertsch R, Haussler D. < transMapRefSeqV5 | < transMapRefSeqV5 | Using native and syntenically mapped cDNA alignments to improve de novo gene finding. < transMapRefSeqV5 | Bioinformatics. 2008 Mar 1;24(5):637-44. < transMapRefSeqV5 | PMID: 18218656 < transMapRefSeqV5 |

< transMapRefSeqV5 | < transMapRefSeqV5 |

< transMapRefSeqV5 | Zhu J, Sanborn JZ, Diekhans M, Lowe CB, Pringle TH, Haussler D. < transMapRefSeqV5 | < transMapRefSeqV5 | Comparative genomics search for losses of long-established genes on the human lineage. < transMapRefSeqV5 | PLoS Comput Biol. 2007 Dec;3(12):e247. < transMapRefSeqV5 | PMID: 18085818; PMC: PMC2134963 < transMapRefSeqV5 |

< transMapRefSeqV5 | < transMapRefSeqV5 | < transMapRnaV5 | html < transMapRnaV5 |

Description

< transMapRnaV5 | < transMapRnaV5 |

< transMapRnaV5 | This track contains GenBank mRNA alignments produced by < transMapRnaV5 | the TransMap cross-species alignment algorithm < transMapRnaV5 | from other vertebrate species in the UCSC Genome Browser. < transMapRnaV5 | For closer evolutionary distances, the alignments are created using < transMapRnaV5 | syntenically filtered BLASTZ alignment chains, resulting in a prediction of the < transMapRnaV5 | orthologous genes in bonobo. < transMapRnaV5 |

< transMapRnaV5 | < transMapRnaV5 | < transMapRnaV5 |

Display Conventions and Configuration

< transMapRnaV5 | < transMapRnaV5 |

< transMapRnaV5 | This track follows the display conventions for < transMapRnaV5 | PSL alignment tracks.

< transMapRnaV5 |

< transMapRnaV5 | This track may also be configured to display codon coloring, a feature that < transMapRnaV5 | allows the user to quickly compare cDNAs against the genomic sequence. For more < transMapRnaV5 | information about this option, click < transMapRnaV5 | here. < transMapRnaV5 | Several types of alignment gap may also be colored; < transMapRnaV5 | for more information, click < transMapRnaV5 | here. < transMapRnaV5 | < transMapRnaV5 |

Methods

< transMapRnaV5 | < transMapRnaV5 |

< transMapRnaV5 |

    < transMapRnaV5 |
  1. Source transcript alignments were obtained from vertebrate organisms < transMapRnaV5 | in the UCSC Genome Browser Database. BLAT alignments of RefSeq Genes, GenBank < transMapRnaV5 | mRNAs, and GenBank Spliced ESTs to the cognate genome, along with UCSC Genes, < transMapRnaV5 | were used as available. < transMapRnaV5 |
  2. For all vertebrate assemblies that had BLASTZ alignment chains and < transMapRnaV5 | nets to the bonobo (panPan2) genome, a subset of the alignment chains were < transMapRnaV5 | selected as follows: < transMapRnaV5 | < transMapRnaV5 |
  3. The pslMap program was used to do a base-level projection of < transMapRnaV5 | the source transcript alignments via the selected chains < transMapRnaV5 | to the bonobo genome, resulting in pairwise alignments of the source transcripts to < transMapRnaV5 | the genome. < transMapRnaV5 |
  4. The resulting alignments were filtered with pslCDnaFilter < transMapRnaV5 | with a global near-best criteria of 0.5% in finished genomes < transMapRnaV5 | (human and mouse) and 1.0% in other genomes. Alignments < transMapRnaV5 | where less than 20% of the transcript mapped were discarded. < transMapRnaV5 |
< transMapRnaV5 |

< transMapRnaV5 | < transMapRnaV5 |

< transMapRnaV5 | To ensure unique identifiers for each alignment, cDNA and gene accessions were < transMapRnaV5 | made unique by appending a suffix for each location in the source genome and < transMapRnaV5 | again for each mapped location in the destination genome. The format is: < transMapRnaV5 |

< transMapRnaV5 |    accession.version-srcUniq.destUniq
< transMapRnaV5 | 
< transMapRnaV5 | < transMapRnaV5 | Where srcUniq is a number added to make each source alignment unique, and < transMapRnaV5 | destUniq is added to give the subsequent TransMap alignments unique < transMapRnaV5 | identifiers. < transMapRnaV5 |

< transMapRnaV5 |

< transMapRnaV5 | For example, in the cow genome, there are two alignments of mRNA BC149621.1. < transMapRnaV5 | These are assigned the identifiers BC149621.1-1 and BC149621.1-2. < transMapRnaV5 | When these are mapped to the human genome, BC149621.1-1 maps to a single < transMapRnaV5 | location and is given the identifier BC149621.1-1.1. However, BC149621.1-2 < transMapRnaV5 | maps to two locations, resulting in BC149621.1-2.1 and BC149621.1-2.2. Note < transMapRnaV5 | that multiple TransMap mappings are usually the result of tandem duplications, where both < transMapRnaV5 | chains are identified as syntenic. < transMapRnaV5 |

< transMapRnaV5 | < transMapRnaV5 |

Data Access

< transMapRnaV5 | < transMapRnaV5 |

< transMapRnaV5 | The raw data for these tracks can be accessed interactively through the < transMapRnaV5 | Table Browser or the < transMapRnaV5 | Data Integrator. < transMapRnaV5 | For automated analysis, the annotations are stored in < transMapRnaV5 | bigPsl files (containing a < transMapRnaV5 | number of extra columns) and can be downloaded from our < transMapRnaV5 | download server, < transMapRnaV5 | or queried using our API. For more < transMapRnaV5 | information on accessing track data see our < transMapRnaV5 | Track Data Access FAQ. < transMapRnaV5 | The files are associated with these tracks in the following way: < transMapRnaV5 |

< transMapRnaV5 | Individual regions or the whole genome annotation can be obtained using our tool < transMapRnaV5 | bigBedToBed which can be compiled from the source code or downloaded as < transMapRnaV5 | a precompiled binary for your system. Instructions for downloading source code and < transMapRnaV5 | binaries can be found < transMapRnaV5 | here. < transMapRnaV5 | The tool can also be used to obtain only features within a given range, for example: < transMapRnaV5 |

< transMapRnaV5 | bigBedToBed http://hgdownload.soe.ucsc.edu/gbdb/panPan2/transMap/V4/panPan2.refseq.transMapV4.bigPsl < transMapRnaV5 | -chrom=chr6 -start=0 -end=1000000 stdout < transMapRnaV5 | < transMapRnaV5 | < transMapRnaV5 |

Credits

< transMapRnaV5 | < transMapRnaV5 |

< transMapRnaV5 | This track was produced by Mark Diekhans at UCSC from cDNA and EST sequence data < transMapRnaV5 | submitted to the international public sequence databases by < transMapRnaV5 | scientists worldwide and annotations produced by the RefSeq, < transMapRnaV5 | Ensembl, and GENCODE annotations projects.

< transMapRnaV5 | < transMapRnaV5 |

References

< transMapRnaV5 |

< transMapRnaV5 | Siepel A, Diekhans M, Brejová B, Langton L, Stevens M, Comstock CL, Davis C, Ewing B, Oommen S, < transMapRnaV5 | Lau C et al. < transMapRnaV5 | < transMapRnaV5 | Targeted discovery of novel human exons by comparative genomics. < transMapRnaV5 | Genome Res. 2007 Dec;17(12):1763-73. < transMapRnaV5 | PMID: 17989246; PMC: PMC2099585 < transMapRnaV5 |

< transMapRnaV5 | < transMapRnaV5 |

< transMapRnaV5 | Stanke M, Diekhans M, Baertsch R, Haussler D. < transMapRnaV5 | < transMapRnaV5 | Using native and syntenically mapped cDNA alignments to improve de novo gene finding. < transMapRnaV5 | Bioinformatics. 2008 Mar 1;24(5):637-44. < transMapRnaV5 | PMID: 18218656 < transMapRnaV5 |

< transMapRnaV5 | < transMapRnaV5 |

< transMapRnaV5 | Zhu J, Sanborn JZ, Diekhans M, Lowe CB, Pringle TH, Haussler D. < transMapRnaV5 | < transMapRnaV5 | Comparative genomics search for losses of long-established genes on the human lineage. < transMapRnaV5 | PLoS Comput Biol. 2007 Dec;3(12):e247. < transMapRnaV5 | PMID: 18085818; PMC: PMC2134963 < transMapRnaV5 |

< transMapRnaV5 | < transMapRnaV5 | < transMapV5 | html < transMapV5 |

Description

< transMapV5 | < transMapV5 |

< transMapV5 | These tracks contain cDNA and gene alignments produced by < transMapV5 | the TransMap cross-species alignment algorithm < transMapV5 | from other vertebrate species in the UCSC Genome Browser. < transMapV5 | For closer evolutionary distances, the alignments are created using < transMapV5 | syntenically filtered LASTZ or BLASTZ alignment chains, resulting < transMapV5 | in a prediction of the orthologous genes in bonobo. For more distant < transMapV5 | organisms, reciprocal best alignments are used. < transMapV5 |

< transMapV5 | < transMapV5 | TransMap maps genes and related annotations in one species to another < transMapV5 | using synteny-filtered pairwise genome alignments (chains and nets) to < transMapV5 | determine the most likely orthologs. For example, for the mRNA TransMap track < transMapV5 | on the human assembly, more than 400,000 mRNAs from 25 vertebrate species were < transMapV5 | aligned at high stringency to the native assembly using BLAT. The alignments < transMapV5 | were then mapped to the human assembly using the chain and net alignments < transMapV5 | produced using BLASTZ, which has higher sensitivity than BLAT for diverged < transMapV5 | organisms. < transMapV5 |

< transMapV5 | Compared to translated BLAT, TransMap finds fewer paralogs and aligns more UTR < transMapV5 | bases. < transMapV5 |

< transMapV5 | < transMapV5 |

Display Conventions and Configuration

< transMapV5 | < transMapV5 |

< transMapV5 | This track follows the display conventions for < transMapV5 | PSL alignment tracks.

< transMapV5 |

< transMapV5 | This track may also be configured to display codon coloring, a feature that < transMapV5 | allows the user to quickly compare cDNAs against the genomic sequence. For more < transMapV5 | information about this option, click < transMapV5 | here. < transMapV5 | Several types of alignment gap may also be colored; < transMapV5 | for more information, click < transMapV5 | here. < transMapV5 | < transMapV5 |

Methods

< transMapV5 | < transMapV5 |

< transMapV5 |

    < transMapV5 |
  1. Source transcript alignments were obtained from vertebrate organisms < transMapV5 | in the UCSC Genome Browser Database. BLAT alignments of RefSeq Genes, GenBank < transMapV5 | mRNAs, and GenBank Spliced ESTs to the cognate genome, along with UCSC Genes, < transMapV5 | were used as available. < transMapV5 |
  2. For all vertebrate assemblies that had BLASTZ alignment chains and < transMapV5 | nets to the bonobo (panPan2) genome, a subset of the alignment chains were < transMapV5 | selected as follows: < transMapV5 | < transMapV5 |
  3. The pslMap program was used to do a base-level projection of < transMapV5 | the source transcript alignments via the selected chains < transMapV5 | to the bonobo genome, resulting in pairwise alignments of the source transcripts to < transMapV5 | the genome. < transMapV5 |
  4. The resulting alignments were filtered with pslCDnaFilter < transMapV5 | with a global near-best criteria of 0.5% in finished genomes < transMapV5 | (human and mouse) and 1.0% in other genomes. Alignments < transMapV5 | where less than 20% of the transcript mapped were discarded. < transMapV5 |
< transMapV5 |

< transMapV5 | < transMapV5 |

< transMapV5 | To ensure unique identifiers for each alignment, cDNA and gene accessions were < transMapV5 | made unique by appending a suffix for each location in the source genome and < transMapV5 | again for each mapped location in the destination genome. The format is: < transMapV5 |

< transMapV5 |    accession.version-srcUniq.destUniq
< transMapV5 | 
< transMapV5 | < transMapV5 | Where srcUniq is a number added to make each source alignment unique, and < transMapV5 | destUniq is added to give the subsequent TransMap alignments unique < transMapV5 | identifiers. < transMapV5 |

< transMapV5 |

< transMapV5 | For example, in the cow genome, there are two alignments of mRNA BC149621.1. < transMapV5 | These are assigned the identifiers BC149621.1-1 and BC149621.1-2. < transMapV5 | When these are mapped to the human genome, BC149621.1-1 maps to a single < transMapV5 | location and is given the identifier BC149621.1-1.1. However, BC149621.1-2 < transMapV5 | maps to two locations, resulting in BC149621.1-2.1 and BC149621.1-2.2. Note < transMapV5 | that multiple TransMap mappings are usually the result of tandem duplications, where both < transMapV5 | chains are identified as syntenic. < transMapV5 |

< transMapV5 | < transMapV5 |

Data Access

< transMapV5 | < transMapV5 |

< transMapV5 | The raw data for these tracks can be accessed interactively through the < transMapV5 | Table Browser or the < transMapV5 | Data Integrator. < transMapV5 | For automated analysis, the annotations are stored in < transMapV5 | bigPsl files (containing a < transMapV5 | number of extra columns) and can be downloaded from our < transMapV5 | download server, < transMapV5 | or queried using our API. For more < transMapV5 | information on accessing track data see our < transMapV5 | Track Data Access FAQ. < transMapV5 | The files are associated with these tracks in the following way: < transMapV5 |

< transMapV5 | Individual regions or the whole genome annotation can be obtained using our tool < transMapV5 | bigBedToBed, which can be compiled from the source code or downloaded as < transMapV5 | a precompiled binary for your system. Instructions for downloading source code and < transMapV5 | binaries can be found < transMapV5 | here. < transMapV5 | The tool can also be used to obtain only features within a given range, for example: < transMapV5 |

< transMapV5 | bigBedToBed http://hgdownload.soe.ucsc.edu/gbdb/panPan2/transMap/V5/panPan2.refseq.transMapV5.bigPsl < transMapV5 | -chrom=chr6 -start=0 -end=1000000 stdout < transMapV5 | < transMapV5 | < transMapV5 |

Credits

< transMapV5 | < transMapV5 |

< transMapV5 | This track was produced by Mark Diekhans at UCSC from cDNA and EST sequence data < transMapV5 | submitted to the international public sequence databases by < transMapV5 | scientists worldwide and annotations produced by the RefSeq, < transMapV5 | Ensembl, and GENCODE annotations projects.

< transMapV5 | < transMapV5 |

References

< transMapV5 |

< transMapV5 | Siepel A, Diekhans M, Brejová B, Langton L, Stevens M, Comstock CL, Davis C, Ewing B, Oommen S, < transMapV5 | Lau C et al. < transMapV5 | < transMapV5 | Targeted discovery of novel human exons by comparative genomics. < transMapV5 | Genome Res. 2007 Dec;17(12):1763-73. < transMapV5 | PMID: 17989246; PMC: PMC2099585 < transMapV5 |

< transMapV5 | < transMapV5 |

< transMapV5 | Stanke M, Diekhans M, Baertsch R, Haussler D. < transMapV5 | < transMapV5 | Using native and syntenically mapped cDNA alignments to improve de novo gene finding. < transMapV5 | Bioinformatics. 2008 Mar 1;24(5):637-44. < transMapV5 | PMID: 18218656 < transMapV5 |

< transMapV5 | < transMapV5 |

< transMapV5 | Zhu J, Sanborn JZ, Diekhans M, Lowe CB, Pringle TH, Haussler D. < transMapV5 | < transMapV5 | Comparative genomics search for losses of long-established genes on the human lineage. < transMapV5 | PLoS Comput Biol. 2007 Dec;3(12):e247. < transMapV5 | PMID: 18085818; PMC: PMC2134963 < transMapV5 |

< transMapV5 | < transMapV5 |