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

Sboner, A.; Habegger, L.; Pflueger, D.; Terry, S.; Chen, D. Z.; Rozowsky, J. S.; Tewari, A. K.; Kitabayashi, N.; Moss, B. J.; Chee, M. S.; Demichelis, F.; Rubin, M. A.; Gerstein, M. B.

doi:10.1186/gb-2010-11-10-r104

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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.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11572/88959

Titolo:	FusionSeq: a modular framework for finding gene fusions by analyzing paired-end RNA-sequencing data.
Autori Unitn:	Demichelis, Francesca
Anno di pubblicazione:	2010
Titolo del periodico:	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.
Handle:	http://hdl.handle.net/11572/88959
Appare nelle tipologie:	03.1 Articolo su rivista (Journal article)

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