Journal
BIOINFORMATICS
Volume 28, Issue 14, Pages 1919-1920Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/bts277
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Funding
- National Institutes of Health [1U54HG004592, 5U01ES017156]
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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.
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