期刊
BIOINFORMATICS
卷 34, 期 19, 页码 3387-3389出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/bty358
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资金
- US National Human Genome Research Institute [NIH R01HG006693, NIH R01HG009141]
- US National Institute of General Medical Sciences [NIH R01GM124355]
- US National Cancer Institute [NIH U24CA209999]
Motivation: Extracting biological insight from genomic data inevitably requires custom software. In many cases, this is accomplished with scripting languages, owing to their accessibility and brevity. Unfortunately, the ease of scripting languages typically comes at a substantial performance cost that is especially acute with the scale of modern genomics datasets. Results: We present hts-nim, a high-performance library written in the Nim programming language that provides a simple, scripting-like syntax without sacrificing performance. Availability and implementation: hts-nim is available at https://github. com/brentp/hts-nim and the example tools are at https://github. com/brentp/hts-nim-tools both under the MIT license.
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