FusionSeq: a modular framework for finding gene fusions by analyzing Paired-End RNA-Sequencing data
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.
- Type: Cohort
- Archiver: The database of Genotypes and Phenotypes (dbGaP)