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Nature Research, Nature Methods, 2(12), p. 115-121, 2015

DOI: 10.1038/nmeth.3252

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Orchestrating high-throughput genomic analysis with Bioconductor

Journal article published in 2015 by Wolfgang Huber ORCID, Vincent J. Carey, Robert Gentleman, Simon Anders ORCID, Marc Carlson, Benilton S. Carvalho ORCID, Hector Corrada Bravo, Sean Davis ORCID, Laurent Gatto ORCID, Thomas Girke, Raphael Gottardo, Florian Hahne, Kasper D. Hansen ORCID, Rafael A. Irizarry, Michael Lawrence and other authors.
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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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.