Transcriptome Track Settings
TROMER Transcriptome database   (All Genes and Gene Predictions tracks)

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Color track by codons: Help on codon coloring

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Data last updated at UCSC: 2008-04-15


The transcriptome track shows gene predictions based on data from RefSeq and EMBL/GenBank. This is a moderately conservative set of predictions, requiring the support of either one GenBank full length RNA sequence, one RefSeq RNA, or one spliced EST. The track includes both protein-coding and non-coding transcripts. The CDS are predicted using ESTScan.

Display Conventions and Configuration

This track in general follows the display conventions for gene prediction tracks. The exons for putative noncoding genes and untranslated regions are represented by relatively thin blocks, while those for coding open reading frames are thicker.

This track contains an optional codon coloring feature that allows users to quickly validate and compare gene predictions. To display codon colors, select the genomic codons option from the Color track by codons pull-down menu. Click here for more information about this feature.

Further information on the predicted transcripts can be found on the Transcriptome Web interface.


The transcriptome is built using a multi-step pipeline:

  1. RefSeq and GenBank RNAs and ESTs are aligned to the genome with SIBsim4, keeping only the best alignments for each RNA.

  2. Alignments are broken up at non-intronic gaps, with small isolated fragments thrown out.

  3. A splicing graph is created for each set of overlapping alignments. This graph has an edge for each exon or intron, and a vertex for each splice site, start, and end. Each RNA that contributes to an edge is kept as evidence for that edge.

  4. The graph is traversed to generate all unique transcripts. The traversal is guided by the initial RNAs to avoid a combinatorial explosion in alternative splicing.

  5. Protein predictions are generated.


The transcriptome track was produced on the Vital-IT high-performance computing platform using a computational pipeline developed by Christian Iseli with help from colleagues at the Ludwig institute for Cancer Research and the Swiss Institute of Bioinformatics. It is based on data from NCBI RefSeq and GenBank/ EMBL. Our thanks to the people running these databases and to the scientists worldwide who have made contributions to them.


Benson DA, Karsch-Mizrachi I, Lipman DJ, Ostell J, Wheeler DL. GenBank: update. Nucleic Acids Res. 2004 Jan 1;32(Database issue):D23-6. PMID: 14681350; PMC: PMC308779