Bioconductor Release »

Packages in the stable, semi-annual release:

• Software
• Annotation Data (Genome, Array, etc.)
• Experiment Data

Workflows »

Common Bioconductor workflows include:

• Oligonucleotide Arrays
• High-throughput Sequencing
• Annotation
• Variants
• Flow Cytometry and other assays
• Finding Candidate Binding Sites for Known Transcription Factors via Sequence Matching

Package Vignettes »

Bioconductor packages contain vignettes, short documents that provides a task-oriented description of package functionality. Learn more.

Mailing Lists »

Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!

• bioconductor
• bioc-devel

Courses & Conferences »

Bioconductor courses and conferences explore R programming and the analysis of genomic data.

• 2013
• 2012
• 2011
• 2010
• 2009
• 2008
• 2007
• 2006
• 2005
• 2004
• 2003
• 2002

Community Help Resources »

Community-contributed resources for learning Bioconductor:

• Video Lectures by Rafael Irizarry and guests
• R/Bioconductor Notes by Thomas Girke
• Using Bioconductor to Analyze your 23andme Data by Vince Buffalo
• Bioconductor Code Search by Itoshi NIKAIDO
• R/Bioconductor Blog By Sean Davis

FAQ »

Read the Frequently Asked Questions for Bioconductor:

• Bioconductor FAQ

Using R »

R information is available at The Comprehensive R Archive Network (CRAN). CRAN resources include:

• Manuals
• FAQ
• The R Journal
• Wiki
• Books
• Other

Development Version»

Bioconductor packages under development:

• Software
• Annotation Data (Genome, Array, etc.)
• Experiment Data

Developer Resources:

• Subversion Log
• New Packages

Previous Versions »

For use with Bioconductor (R):

• 2.11 (2.15)
• 2.10 (2.15)
• 2.9 (2.14)
• 2.8 (2.13)
• 2.7 (2.12)
• 2.6 (2.11)
• 2.5 (2.10)
• 2.4 (2.9)
• 2.3 (2.8)
• 2.2 (2.7)
• 2.1 (2.6)
• 2.0 (2.5)
• 1.9 (2.4)
• 1.8 (2.3)
• 1.7 (2.2)
• 1.6 (2.1)

Publications »

Bioconductor books:

• Bioinformatics and Computational Biology Solutions Using R and Bioconductor
• R Programming for Bioinformatics
• Bioconductor Case Studies