articleBioinformaticsMay 9, 2012BRONZE OA

BEDOPS: high-performance genomic feature operations

University of Washington

PubMed
Indexed incrossrefdoajpubmed

Abstract

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…

Citation impact

1,171
total citations
FWCI
9.14
Percentile
100%
References
6
Citations per year

Authors

13

Topics & keywords

Keywords
  • Computer science
  • Suite
  • Scalability
  • Documentation
  • Software
  • Flexibility (engineering)
  • Source code
  • Feature (linguistics)
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