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Ranked choice voting for representative transcripts with TRaCE

Andrew Olson, Doreen Ware

2021Bioinformatics13 citationsDOIOpen Access PDF

Abstract

SUMMARY: Genome sequencing projects annotate protein-coding gene models with multiple transcripts, aiming to represent all of the available transcript evidence. However, downstream analyses often operate on only one representative transcript per gene locus, sometimes known as the canonical transcript. To choose canonical transcripts, Transcript Ranking and Canonical Election (TRaCE) holds an 'election' in which a set of RNA-seq samples rank transcripts by annotation edit distance. These sample-specific votes are tallied along with other criteria such as protein length and InterPro domain coverage. The winner is selected as the canonical transcript, but the election proceeds through multiple rounds of voting to order all the transcripts by relevance. Based on the set of expression data provided, TRaCE can identify the most common isoforms from a broad expression atlas or prioritize alternative transcripts expressed in specific contexts. AVAILABILITY AND IMPLEMENTATION: Transcript ranking code can be found on GitHub at {{https://github.com/warelab/TRaCE}}. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Topics & Concepts

VotingTRACE (psycholinguistics)Computer scienceComputational biologyBiologyPolitical scienceLawLinguisticsPoliticsPhilosophyRNA and protein synthesis mechanismsSingle-cell and spatial transcriptomicsAdvanced Proteomics Techniques and Applications
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