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

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.
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... read more

Permanent URL
http://hdl.handle.net/10427/010063
Original publication
Sboner, Andrea, Lukas Habegger, Dorothee Pflueger, Stephane Terry, David Z. Chen, Joel S. Rozowsky, Ashutosh K. Tewari, Naoki Kitabayashi, Benjamin J. Moss, Mark S. Chee, Francesca Demichelis, Mark A. Rubin, and Mark B. Gerstein. "FusionSeq: a modular framework for finding gene fusions by analyzing paired-end RNA-sequencing data." Genome Biology 11, no. 12 (10, 2010): 1-19.
ID: tufts:17556
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