FACTERA: a practical method for the discovery of genomic rearrangements at breakpoint resolution BIOINFORMATICS Newman, A. M., Bratman, S. V., Stehr, H., Lee, L. J., Liu, C. L., Diehn, M., Alizadeh, A. A. 2014; 30 (23): 3390-3393

Abstract

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.http://factera.stanford.edu.

View details for DOI 10.1093/bioinformatics/btu549

View details for Web of Science ID 000345827400014

View details for PubMedID 25143292

View details for PubMedCentralID PMC4296148