Ontology highlight
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.
SUBMITTER: Neph S
PROVIDER: S-EPMC3389768 | biostudies-literature | 2012 Jul
REPOSITORIES: biostudies-literature
Neph Shane S Kuehn M Scott MS Reynolds Alex P AP Haugen Eric E Thurman Robert E RE Johnson Audra K AK Rynes Eric E Maurano Matthew T MT Vierstra Jeff J Thomas Sean S Sandstrom Richard R Humbert Richard R Stamatoyannopoulos John A JA
Bioinformatics (Oxford, England) 20120509 14
<h4>Unlabelled</h4>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 p ...[more]