| Literature DB >> 25143292 |
Aaron M Newman1, Scott V Bratman1, Henning Stehr2, Luke J Lee1, Chih Long Liu1, Maximilian Diehn3, Ash A Alizadeh3.
Abstract
UNLABELLED: For practical and robust de novo identification of genomic fusions and breakpoints from targeted paired-end DNA sequencing data, we developed Fusion And Chromosomal Translocation Enumeration and Recovery Algorithm (FACTERA). Our method has minimal external dependencies, works directly on a preexisting Binary Alignment/Map file and produces easily interpretable output. We demonstrate FACTERA's ability to rapidly identify breakpoint-resolution fusion events with high sensitivity and specificity in patients with non-small cell lung cancer, including novel rearrangements. We anticipate that FACTERA will be broadly applicable to the discovery and analysis of clinically relevant fusions from both targeted and genome-wide sequencing datasets.Entities:
Mesh:
Year: 2014 PMID: 25143292 PMCID: PMC4296148 DOI: 10.1093/bioinformatics/btu549
Source DB: PubMed Journal: Bioinformatics ISSN: 1367-4803 Impact factor: 6.937