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BEDOPS: high-performance genomic feature operations.

Authors :
Neph, Shane
Kuehn, M. Scott
Reynolds, Alex P.
Haugen, Eric
Thurman, Robert E.
Johnson, Audra K.
Rynes, Eric
Maurano, Matthew T.
Vierstra, Jeff
Thomas, Sean
Sandstrom, Richard
Humbert, Richard
Stamatoyannopoulos, John A.
Source :
Bioinformatics; Jul2012, Vol. 28 Issue 14, p1919-1920, 2p
Publication Year :
2012

Abstract

Summary: 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.Contact: sjn@u.washington.edu and jstam@u.washington.eduSupplementary information: Supplementary data are available at Bioinformatics online. [ABSTRACT FROM PUBLISHER]

Details

Language :
English
ISSN :
13674803
Volume :
28
Issue :
14
Database :
Complementary Index
Journal :
Bioinformatics
Publication Type :
Academic Journal
Accession number :
77686755
Full Text :
https://doi.org/10.1093/bioinformatics/bts277