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.
Titolo: | FusionSeq: a modular framework for finding gene fusions by analyzing paired-end RNA-sequencing data. |
Autori: | A., Sboner; L., Habegger; D., Pflueger; S., Terry; D. Z., Chen; J. S., Rozowsky; A. K., Tewari; N., Kitabayashi; B. J., Moss; M. S., Chee; Demichelis, Francesca; M. A., Rubin; M. B., Gerstein |
Autori Unitn: | |
Titolo del periodico: | GENOME BIOLOGY |
Anno di pubblicazione: | 2010 |
Codice identificativo Scopus: | 2-s2.0-77958040520 |
Codice identificativo Pubmed: | 20964841 |
Codice identificativo ISI: | WOS:000287378900006 |
Digital Object Identifier (DOI): | http://dx.doi.org/10.1186/gb-2010-11-10-r104 |
Handle: | http://hdl.handle.net/11572/88959 |
Appare nelle tipologie: | 03.1 Articolo su rivista (Journal article) |
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