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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, 1383 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images.

If you have problems with Bioconductor, take a look at the help pages (https://bioconductor.org/help/). The help pages include course material, workflows, videos etc. For further questions, you can contact the developers:

Wolfgang Huber (This email address is being protected from spambots. You need JavaScript enabled to view it.)
Mike Smith (This email address is being protected from spambots. You need JavaScript enabled to view it.)