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

Authors :
Sboner, Andrea
Habegger, Lukas
Pflueger, Dorothee
Terry, Stephane
Chen, David Z
Rozowsky, Joel S
Tewari, Ashutosh K
Kitabayashi, Naoki
Moss, Benjamin J
Chee, Mark S
Demichelis, Francesca
Rubin, Mark A
Gerstein, Mark B
Source :
Genome Biology; October 2010, Vol. 11 Issue: 10
Publication Year :
2010

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.

Details

Language :
English
ISSN :
14747596 and 1474760X
Volume :
11
Issue :
10
Database :
Supplemental Index
Journal :
Genome Biology
Publication Type :
Periodical
Accession number :
ejs22560967
Full Text :
https://doi.org/10.1186/gb-2010-11-10-r104