1. Problems at the interface between statistics, biomathematics and bioinformatics Chris Glasbey Biomathematics & Statistics Scotland

2. A cell © David Ussert, DTU, Denmark

3. Talk plan 1. DNA 2. mRNA 3. Protein 4. Genetic networks

4. 1. DNA

6. Frank Wright et al BioSS

7. 1. DNA Two approaches to detecting recombination

8. 1. DNA

9. 2. mRNA 6400 yeast genes expressed in ethanol or glucose DeRisi et al (Science, 1997)

10. 2. mRNA © NHGRI

11. 2. mRNA Five clusters of genes

12. 2. mRNA 6830 human genes x 64 cancer tumours Hastie et al (Genome Biology, 2000)

13. 3. Proteins Electrophoresis gel Lars Pedersen DTU, Denmark

14. 3. Proteins Protein separation by 1.pH 2.Mol. Wt.

15. 3. Proteins gel 1 gel 2 How to compare gels 1 and 2?

16. 3. Proteins John Gustafsson, Chalmers University, Sweden WARP

17. 3. Proteins

19. Two gels superimposed (in different colours)

20. 4. Genetic networks

22. Is it possible to infer the network from gene expression data such as these? Dirk Husmeier, BioSS

23. 4. Genetic networks truth inferred

24. The future Systems biology “to understand biological processes not as isolated parts but as integrated systems from molecules to cells and how networks of cells function together in integrated ways in tissues, organs and whole organisms” BBSRC has £30M initiative