Orchestrating high-throughput genomic analysis with Bioconductor.
(2015) Nature Methods : techniques for life scientists and chemists — Vol. 12, n° 2, p. 115-121 (2015)
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- Authors
Huber, Wolfgang 
Anders, Simon Morgan, Martin
- Abstract
- Bioconductor is an open-source, open-development software project for the analysis and comprehension of high-throughput data in genomics and molecular biology. The project aims to enable interdisciplinary research, collaboration and rapid development of scientific software. Based on the statistical programming language R, Bioconductor comprises 934 interoperable packages contributed by a large, diverse community of scientists. Packages cover a range of bioinformatic and statistical applications. They undergo formal initial review and continuous automated testing. We present an overview for prospective users and contributors.
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Citations
Huber, W., Carey, V. J., Gentleman, R., Anders, S., Carlson, M., Carvalho, B. S., Bravo, H. C., Davis, S., Gatto, L., Girke, T., Gottardo, R., Hahne, F., Hansen, K. D., Irizarry, R. A., Lawrence, M., Love, M. I., MacDonald, J., Obenchain, V., Oleś, A. K., et al. (2015). Orchestrating high-throughput genomic analysis with Bioconductor. Nature Methods : techniques for life scientists and chemists, 12(2), 115-121. https://doi.org/10.1038/nmeth.3252 (Original work published 2015)