Data Analysis and Modelling

Data analysis and modelling research at the Institute covers the following topics:

1. Methods for the analysis of microarrays (quality assessment, background correction, normalization, down-stream analysis) on a variety of platforms (spotted, bead and oligo arrays) used in contexts such as expression, array CGH, methylation, and splicing.
   
   
2. Quantitative methods for systems biology, including identification of regulatory networks and protein interaction networks.
   
   
3. Statistical and population genetics. This includes the development of statistical approaches for whole-genome association studies and for understanding the genetic basis of variation in expression.
   
   
4. Statistical methods for image analysis.
   
   
5. Molecular modelling of cell lineages for understanding stem cell fates and cancer epidemiology.

Bioinformatics research at the Institute is supported by the Bioinformatics core facility.

The Group Leader in this area is:

Florian Markowetz

Simon Tavaré