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Bioconductor is an open source and open development software project
for the analysis and comprehension of genomic data.

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You are welcome to use these materials for instructional purposes. However, you may not include these in separately published works (articles, books, websites).When using all or parts of the materials we would appreciate it if you would cite the authors and refer your audience to the Bioconductor website.

These have all been built and tested to work with Bioconductor release 1.3, but we are now on release 1.4. We are currently in the process of ensuring that they all work against the 1.4 release, but users might encounter some difficulties in the meantime. If you run into a situation where there is a problem with a 1.4 release package and these materials, please let us know.


 
RandBioC  Overview of R and Bioconductor
affyDemo  Introduction to Bioconductor affy Package
cDNADemo  Introduction to Bioconductor marray package
End2EndLab  Analyzing Microarray Data: From Images to List of Candidate Genes
MachLearn  Applications of Machine Learning to Microarray Data, SVM and friends

If you have contributions, additions, or improvements please send them to Jianhua Zhang

News
2009-01-07

R, the open source platform used by Bioconductor, featured in a series of articles in the New York Times.