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, 1024 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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GIW/InCoB 2015 Satellite Workshop: Bioconductor for high-throughput sequence analysis
07 September 2015 — Tokyo, Japan

First Asia-Pacific Bioconductor Developers' Meeting
08 September 2015 — Tokyo, Japan

SMODIA2015 Statistical Methods for Omics Data Integration and Analysis
14 - 16 September 2015 — Valencia, Span

European Bioconductor Developers Conference
07 - 08 December 2015 — Cambridge, UK

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Fred Hutchinson Cancer Research Center