Bioconductor is an open source, open development software project to provide tools for the analysis and comprehension of high-throughput genomic data. It is based primarily on the R programming language.

The Bioconductor release version is updated twice each year, and is appropriate for most users. There is also a development version, to which new features and packages are added prior to incorporation in the release. A large number of meta-data packages provide pathway, organism, microarray and other annotations.

The Bioconductor project started in 2001 and is overseen by a core team, based primarily at the Fred Hutchinson Cancer Research Center, and by other members coming from US and international institutions.

Key citations to the project include Huber et al., 2015 Nature Methods 12:115-121 and Gentleman et al., 2004 Genome Biology 5:R80

Bioconductor Packages

Most Bioconductor components are distributed as R packages. The functional scope of Bioconductor packages includes the analysis of DNA microarray, sequence, flow, SNP, and other data.

Project Goals

The broad goals of the Bioconductor project are:

Main Project Features

Fred Hutchinson Cancer Research Center