FusionSeq: a modular framework for finding gene fusions by analyzing paired-end RNA-sequencing data

A. Sboner,L. Habegger,D. Pflueger,S. Terry,David Z. Chen,J. Rozowsky,A. Tewari,Naoki Kitabayashi,Benjamin J. Moss,M. Chee,F. Demichelis,M. Rubin,M. Gerstein

Published 2010 in Genome Biology

ABSTRACT

We have developed FusionSeq to identify fusion transcripts from paired-end RNA-sequencing. FusionSeq includes filters to remove spurious candidate fusions with artifacts, such as misalignment or random pairing of transcript fragments, and it ranks candidates according to several statistics. It also has a module to identify exact sequences at breakpoint junctions. FusionSeq detected known and novel fusions in a specially sequenced calibration data set, including eight cancers with and without known rearrangements.

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