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.
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
PUBLICATION RECORD
- Publication year
2010
- Venue
Genome Biology
- Publication date
2010-10-21
- Fields of study
Biology, Medicine, Computer Science
- Identifiers
- External record
- Source metadata
Semantic Scholar, PubMed
CITATION MAP
EXTRACTION MAP
CLAIMS
- No claims are published for this paper.
CONCEPTS
- No concepts are published for this paper.
REFERENCES
Showing 1-56 of 56 references · Page 1 of 1