BEDOPS: high-performance genomic feature operations

S Neph, MS Kuehn, AP Reynolds, E Haugen… - …, 2012 - academic.oup.com
S Neph, MS Kuehn, AP Reynolds, E Haugen, RE Thurman, AK Johnson, E Rynes…
Bioinformatics, 2012academic.oup.com
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 …
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.edu
Supplementary information:  Supplementary data are available at Bioinformatics online.
Oxford University Press