BioASP Roadshow Maastricht; May Brought to you by: BioASP and BiGCaT Bioinformatics

Welcome and Introduction From genes to pathways; data mining to couple microarray reporter info with protein functions (Dr. R. van Haaften) Around the triangle; combination of expression data with known quantitative trade loci and pathways (Dr.Ir. C. Evelo) BioASP Road Show (Dr. K. van Haren) BioASP tools; Rosetta resolver and Spotfire Decisionsite powerful tools for biomedical research (Dr. A.P. Bijnens) BOS2; Getting Bioinformatics On Speed (Prof. Dr. E. Mariman) Concluding remarks and discussion Program

BiGCaT Bioinformatics Where the cat hunts

BiGCaT Bioinformatics, bridge between two universities Universiteit Maastricht Patients, Experiments, Arrays and Loads of Data TU/e Ideas & Experience in Data Handling BiGCaT LUC Diepenbeek Statistical Foundations

BiGCaT Bioinformatics, between two research fields Cardiovascular Research Nutritional & Environmental Research BiGCaT

Systems Biology Transcriptomics Metabolomics Proteomics microarrays, 20 k (available) Large scale analytical chemistry (developing outside) 2D-gels, antibody techniques (developing inside)

Our usual prey: gene expression arrays Microarrays: relative fluorescense signals. Identification. Classic treatment Look at 20 or so most changed genes Look at your own favorites Look at large tissue chunks

What can we do to increase understanding? Look at functional pathway info – Dr. Rachel van Haaften Combine with known info – Dr. Chris Evelo Use the BioASP portal and data - Dr. Karin van Haren Use major bioinformatics tools – Dr. Anne Pascale Bijnens Look into the future - Prof. Edwin Mariman