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Orchestrating high-throughput genomic analysis with Bioconductor


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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Figure 1: Example uses of the Ranges algebra.
Figure 2: The integrative data container SummarizedExperiment.
Figure 3: Visualization along genomic coordinates with ggbio.

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We thank all contributors to the Bioconductor and R projects. Bioconductor is supported by the National Human Genome Research Institute of the US National Institutes of Health (U41HG004059 to M.M.). Additional support is from the US National Science Foundation (1247813 to M.M.) and the European Commission FP7 project RADIANT (to W.H.). A. Bruce provided graphics support for Figure 2.

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Correspondence to Wolfgang Huber.

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Huber, W., Carey, V., Gentleman, R. et al. Orchestrating high-throughput genomic analysis with Bioconductor. Nat Methods 12, 115–121 (2015).

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