Ontology highlight
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.Availability and implementation
http://factera.stanford.edu.
SUBMITTER: Newman AM
PROVIDER: S-EPMC4296148 | biostudies-literature | 2014 Dec
REPOSITORIES: biostudies-literature
Newman Aaron M AM Bratman Scott V SV Stehr Henning H Lee Luke J LJ Liu Chih Long CL Diehn Maximilian M Alizadeh Ash A AA
Bioinformatics (Oxford, England) 20140820 23
<h4>Unlabelled</h4>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 ...[more]