BreakFusion: targeted assembly-based identification of gene fusions in whole transcriptome paired-end sequencing data

Bioinformatics. 2012 Jul 15;28(14):1923-4. doi: 10.1093/bioinformatics/bts272. Epub 2012 May 4.

Abstract

Despite recent progress, computational tools that identify gene fusions from next-generation whole transcriptome sequencing data are often limited in accuracy and scalability. Here, we present a software package, BreakFusion that combines the strength of reference alignment followed by read-pair analysis and de novo assembly to achieve a good balance in sensitivity, specificity and computational efficiency.

Availability: http://bioinformatics.mdanderson.org/main/BreakFusion

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Cell Line, Tumor
  • Computational Biology / methods*
  • Humans
  • Sequence Alignment
  • Sequence Analysis, RNA / methods*
  • Software*
  • Transcriptome*