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


Get the latest updates on the Bioc2020 Conference!

Bioconductor is hiring!

Bioconductor is hiring for a full-time position on the Bioconductor Core Team! Individual projects are flexible but offer a unique opportunity to contribute novel algoritms and other software development to support high-throughput genomic analysis in R. The minimum requirement is a Master's degree in an appropriate field (Computer Programming, Bioinformatics, Biological Science, etc) with some programming background. Are you ready to have a larger role in the internationally utilized collection of Bioconductor packages? Apply Today!


  • Registration and call for abstracts open for Bioc2020.
  • Bioconductor 3.10 is available.
  • Core team job opportunities for scientific programmer / analyst and senior programmer / analyst! contact Martin.Morgan at RoswellPark.org
  • Bioconductor F1000 Research Channel available.
  • Orchestrating single-cell analysis with Bioconductor (abstract; website) and other recent literature.

Install »

Get started with Bioconductor

Use »

Create bioinformatic solutions with Bioconductor


DESeq2: basemean count


R / Bioconductor for Mass Spectrometry and Proteomics
17 - 19 February 2020 — Berlin, Germany

The May Institute on Computation and Statistics for Mass Spectrometry and Proteomics
27 April - 08 May 2020 — Boston, MA, USA

BioC 2020: Where Software and Biology Connect
29 - 31 July 2020 — Boston, USA

See all events  »