Ontology highlight
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 misalignments 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 8 cancers with and without known rearrangements.
PROVIDER: phs000311.v1.p1 | EGA |
REPOSITORIES: EGA
Sboner Andrea A Habegger Lukas L Pflueger Dorothee D Terry Stephane S Chen David Z DZ Rozowsky Joel S JS Tewari Ashutosh K AK Kitabayashi Naoki N Moss Benjamin J BJ Chee Mark S MS Demichelis Francesca F Rubin Mark A MA Gerstein Mark B MB
Genome biology 20101021 10
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 kno ...[more]