Related Experiment Video
Updated: May 2, 2026

Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing
Published on: October 19, 2013
BEDOPS: high-performance genomic feature operations
Shane Neph1, M Scott Kuehn, Alex P Reynolds
1Department of Genome Sciences and Department of Medicine, University of Washington, Seattle, Washington, DC 98195, USA. sjn@u.washington.edu
Unlabelled:
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.
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