Reproducible research and data analysis
Lausanne, 9 November, 2012
The data produced by the life science community is become more and more complex, and so does the statistical analysis of this data, leading to a higher number of errors during the analysis. Researchers have shown that these errors are not only common, but also that they are simple and could mostly be avoided by using the right tools and good organizational methods.
During this workshop, we will discuss some of these tools and how they could adopted in order to improve an analysis process and ensure better reproducibility of a statistical analysis. This will include, among other topics:
- an introduction to "forensic bioinformatics", with examples of common problems encountered
- basic principles for managing data
- improving reproducibility of research when using R
- using Sweave and ODFweave to improve report creation
- using a revision control system such as Subversion or Git for tracking changes
Frédéric Schütz (SIB, BCF)
Basic knowledge of R is required for this workshop, and basic knowledge of Unix is strongly recommended. Knowledge of LaTeX, revision control systems (such as Subversion of Git) would be beneficial, but not required.
Practical organization - Location
Sessions runs from 9:00 to 17:00 approximately, with a lunch break.
This one-day course is held at the Génopode building - University of Lausanne.
Registration is closed.
Registration is free for Swiss academics. Participants from the industry should contact us.
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