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.
SECONDARY ACCESSION(S): PRJNA74883PRJNA74881
REPOSITORIES: dbGaP
Action | DRS | |||
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GapExchange_phs000311.v1.p1.xml | Xml | |||
dbGaPEx2.1.5.xsd | Other | |||
Study_Report.phs000311.FusionSeq.v1.p1.MULTI.pdf | ||||
manifest_phs000311.FusionSeq.v1.p1.c1.PPC.pdf | ||||
datadict_v2.xsl | Other |
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