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

A cell © David Ussert, DTU, Denmark

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

1. DNA

Frank Wright et al BioSS

1. DNA Two approaches to detecting recombination

1. DNA

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

2. mRNA © NHGRI

2. mRNA Five clusters of genes

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

3. Proteins Electrophoresis gel Lars Pedersen DTU, Denmark

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

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

3. Proteins John Gustafsson, Chalmers University, Sweden WARP

3. Proteins

Two gels superimposed (in different colours)

4. Genetic networks

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

4. Genetic networks truth inferred

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