| Literature DB >> 22563071 |
Ken Chen1, John W Wallis, Cyriac Kandoth, Joelle M Kalicki-Veizer, Karen L Mungall, Andrew J Mungall, Steven J Jones, Marco A Marra, Timothy J Ley, Elaine R Mardis, Richard K Wilson, John N Weinstein, Li Ding.
Abstract
UNLABELLED: 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/BreakFusionMesh:
Year: 2012 PMID: 22563071 PMCID: PMC3389765 DOI: 10.1093/bioinformatics/bts272
Source DB: PubMed Journal: Bioinformatics ISSN: 1367-4803 Impact factor: 6.937