Community Contributed Help Resources
A small selection of the many resources available for learning Bioconductor, contributed by members of the Bioconductor community.
- Resources from MOOC: PH525x Data Analysis for Genomics – book and labs
- Mike Love’s bioc-refcard
- Bioconductor on YouTube
- 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
Common Bioconductor workflows include:
- Introduction to Bioconductor for Sequence Data
- Oligonucleotide Arrays
- Counting Reads for Differential Expression (parathyroideSE vignette)
- Annotation Resources
- Annotating Genomic Ranges
- Annotating Genomic Variants
- Flow Cytometry and other assays
- Candidate Binding Sites for Known Transcription Factors
- Cloud-enabled cis-eQTL search and annotation
- RNA-Seq workflow: gene-level exploratory analysis and differential expression
- Changing genomic coordinate systems with rtracklayer::liftOver
- Mass spectrometry and proteomics data analysis
- Differential Binding from ChIP-seq data
Packages »
Bioconductor's stable, semi-annual release:
- Analysis software packages.
- Annotation packages.
- Illustrative experiment data packages.
- Latest release announcement.
Bioconductor is also available via Docker and Amazon Machine Images.
