Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1104 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images.


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Create bioinformatic solutions with Bioconductor



BioC2016: Where Software and Biology Connect
24 - 26 June 2016 — Stanford, CA, USA

CSAMA 2016 (14th edition) - Statistics and Computing in Genome Data Science
10 - 15 July 2016 — Bressanone-Brixen, Italy

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Fred Hutchinson Cancer Research Center