BEDOPS
Computational Tool
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General Information
DescriptionHigh-performance genomic feature operations
Homepagehttp://code.google.com/p/bedops/
Publications
BEDOPS: high-performance genomic feature operations
Shane Neph; 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
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.
DOI: https://doi.org/10.1093/bioinformatics/bts277
Metrics:
72
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