@article{b8287cf85e034cb5a3725fd694692e77,
title = "FusionSeq: A modular framework for finding gene fusions by analyzing paired-end RNA-sequencing data",
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.",
author = "Andrea Sboner and Lukas Habegger and Dorothee Pflueger and Stephane Terry and Chen, {David Z.} and Rozowsky, {Joel S.} and Tewari, {Ashutosh K.} and Naoki Kitabayashi and Moss, {Benjamin J.} and Chee, {Mark S.} and Francesca Demichelis and Rubin, {Mark A.} and Gerstein, {Mark B.}",
note = "Funding Information: We would like to acknowledge the support of the {\textquoteleft}Yale University Biomedical High Performance Computing Center{\textquoteright} and NIH grant no. RR19895, which funded the computer cluster instrumentation where the analysis has been performed, National Cancer Institute grant R01CA125612 to MAR and FD, National Human Genome Research Institute grant 5R44HG004237 to MC, the Prostate Cancer Foundation, and the Breslin Foundation.",
year = "2010",
month = oct,
day = "21",
doi = "10.1186/gb-2010-11-10-r104",
language = "English",
volume = "11",
journal = "Genome Biology",
issn = "1474-7596",
publisher = "BioMed Central Ltd.",
number = "10",
}