期刊
BIOINFORMATICS
卷 27, 期 12, 页码 1691-1692出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btr174
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资金
- National Institutes of Health [RO1 HG004719, RC2 HG005552]
Motivation: Analysis of genomic sequencing data requires efficient, easy-to-use access to alignment results and flexible data management tools (e.g. filtering, merging, sorting, etc.). However, the enormous amount of data produced by current sequencing technologies is typically stored in compressed, binary formats that are not easily handled by the text-based parsers commonly used in bioinformatics research. Results: We introduce a software suite for programmers and end users that facilitates research analysis and data management using BAM files. BamTools provides both the first C++ API publicly available for BAM file support as well as a command-line toolkit.
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