FusionSeq: a modular framework for finding gene fusions by analyzing paired-end RNA-sequencing data. Academic Article uri icon

Overview

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.

authors

  • Sboner, Andrea
  • Habegger, Lukas
  • Pflueger, Dorothee
  • Terry, Stephane
  • Chen, David Z
  • Rozowsky, Joel S
  • Tewari, Ashutosh K
  • Kitabayashi, Naoki
  • Moss, Benjamin J
  • Chee, Mark S
  • Demichelis, Francesca
  • Rubin, Mark A
  • Gerstein, Mark B

publication date

  • October 21, 2010

Research

keywords

  • Computational Biology
  • Gene Fusion
  • Neoplasms
  • Sequence Analysis, RNA

Identity

PubMed Central ID

  • PMC3218660

Scopus Document Identifier

  • 77958040520

Digital Object Identifier (DOI)

  • 10.1002/gcc.20482

PubMed ID

  • 20964841

Additional Document Info

volume

  • 11

issue

  • 10