Contributing Bioinformatics Groups
Course Registration
Courses in
Practical Microarray
Data Analysis
Workshops on
Good Statistical
Course Materials from Past Years
E-Learning Courses in
Practical Microarray
Data Analysis (Beta)
Links to software
and literature



  • The R Project for Statistical Computing. R is `GNU S' - A language and environment for statistical computing and graphics.
  • The Comprehensive R Archive Network: CRAN is a network of ftp and web servers around the world that store identical, up-to-date, versions of code and documentation for the R statistical package.
  • Bioconductor is an open source and open development software project for the analysis and comprehension of genomic data.
  • Bioinformatics and Computational Biology Solutions using R and Bioconductor, edited by R.Gentleman, V.Carey, W.Huber, R.Irizarry, S.Dudoit, Springer 2005.
    This book covers most of the key capabilities of the Bioconductor project, including importation and preprocessing of high-throughput data from microarray, proteomic, and flow cytometry platforms. See the companion website for R code and packages.
  • Some packages hosted at the Computational Diagnostics Group.


Overviews and introductions

Research papers covered in the lectures

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