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Identification of novel transcripts in annotated genomes using RNA-Seq
Author(s) -
Adam Roberts,
Harold Pimentel,
Cole Trapnell,
Lior Pachter
Publication year - 2011
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btr355
Subject(s) - annotation , leverage (statistics) , software suite , computational biology , identification (biology) , rna seq , computer science , software , suite , genome , reference genome , context (archaeology) , biology , genetics , artificial intelligence , gene , transcriptome , programming language , gene expression , history , paleontology , botany , archaeology
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.

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