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, 824 software packages, and an active user community. Bioconductor is also available as an Amazon Machine Image (AMI).


  • Use the support site to get help installing, learning and using Bioconductor.
  • Course: Learning R / Bioconductor for Sequence Analysis, Seattle, Oct. 27-29.
  • Publication: Scalable Genomics with R and Bioconductor.

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Create bioinformatic solutions with Bioconductor


Illumina bead array analysis


Practical workshop on High-Throughput Sequencing Data analysis
06 - 10 October 2014 — Okinawa, Japan

EMBO Practical Course on Analysis of High-Throughput Sequencing Data
20 - 25 October 2014 — Hinxton, UK

Learning R / Bioconductor for Sequence Analysis
27 - 29 October 2014 — Seattle, WA, USA

BioC Europe 2015
12 - 13 January 2015 — Heidelberg, Germany

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Fred Hutchinson Cancer Research Center