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NEPH, Shane; KUEHN, M. Scott; SANDSTROM, Richard; HUMBERT, Richard; STAMATOYANNOPOULOS, John A; REYNOLDS, Alex P; HAUGEN, Eric; THURMAN, Robert E; JOHNSON, Audra K; RYNES, Eric; MAURANO, Matthew T; VIERSTRA, Jeff; THOMAS, Sean
Bioinformatics, 07/2012, Letnik: 28, Številka: 14Journal Article
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. http://code.google.com/p/bedops/ includes binaries, source and documentation.
