| Literature DB >> 22576172 |
Shane Neph1, M Scott Kuehn, Alex P Reynolds, Eric Haugen, Robert E Thurman, Audra K Johnson, Eric Rynes, Matthew T Maurano, Jeff Vierstra, Sean Thomas, Richard Sandstrom, Richard Humbert, John A Stamatoyannopoulos.
Abstract
UNLABELLED: The large and growing number of genome-wide datasets highlights the need for high-performance feature analysis and data comparison methods, in addition to efficient data storage and retrieval techniques. We introduce BEDOPS, a software suite for common genomic analysis tasks which offers improved flexibility, scalability and execution time characteristics over previously published packages. The suite includes a utility to compress large inputs into a lossless format that can provide greater space savings and faster data extractions than alternatives. AVAILABILITY: http://code.google.com/p/bedops/ includes binaries, source and documentation.Mesh:
Year: 2012 PMID: 22576172 PMCID: PMC3389768 DOI: 10.1093/bioinformatics/bts277
Source DB: PubMed Journal: Bioinformatics ISSN: 1367-4803 Impact factor: 6.937