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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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Bioconductor Case Studies

Authors: Florian Hahne, Wolfgang Huber, Robert Gentleman, Seth Falcon

Released 17 July 2008


Topics covered include:

  • Importing and preprocessing genomic data from various sources
  • Incorporating biological metadata in genomic analyses
  • Visualizing genomic data
  • Statistical modeling of differential gene expression data
  • Applying machine learning clustering and classifying methods to genomic data
  • Gene set enrichment analysis

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Web Supplement (code, figures and solutions).

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2009-10-26

BioC 2.5, consisting of 352 packages and designed to work with R 2.10.z, was released today.

2009-01-07

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