Identification of novel transcripts in annotated genomes using RNA-Seq

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ID: 299455
2011
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Abstract
Abstract Summary: We describe a new ‘reference annotation based transcript assembly’ problem for RNA-Seq data that involves assembling novel transcripts in the context of an existing annotation. This problem arises in the analysis of expression in model organisms, where it is desirable to leverage existing annotations for discovering novel transcripts. We present an algorithm for reference annotation-based transcript assembly and show how it can be used to rapidly investigate novel transcripts revealed by RNA-Seq in comparison with a reference annotation. Availability: The methods described in this article are implemented in the Cufflinks suite of software for RNA-Seq, freely available from http://bio.math.berkeley.edu/cufflinks. The software is released under the BOOST license. Contact: cole@broadinstitute.org; lpachter@math.berkeley.edu Supplementary Information: Supplementary data are available at Bioinformatics online.
Reference Key
openalex_W2098832713 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Adam Roberts, Harold Pimentel, Cole Trapnell, Lior Pachter
Journal BMC Bioinformatics
Year 2011
DOI
10.1093/bioinformatics/btr355
URL
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