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, 934 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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MOOC: Statistics and R for the Life Sciences
19 January - 27 April 2015 — Online

Biological Interpretation of Next Generation Sequencing
23 - 27 March 2015 — EMBL-EBI, Hinxton, UK

Advanced RNA-Seq and ChiP-Seq Data Analysis
11 - 14 May 2015 — EMBL-EBI, Hinxton, UK

20 - 22 July 2015 — Seattle, WA, USA

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Fred Hutchinson Cancer Research Center