1. Bioinformatics Teaching in the Department of Computing Dr. Simon Colton Computational Bioinformatics Laboratory

2. Bioinformatics Course To fill a gap in bioinformatics education 3rd year/Msc/JMC option, taught by: Simon Colton, Yike Guo (Moustafa Ghanem) Mike Sternberg, Stephen Muggleton Student numbers (2003/4/5) = 25/50/75 Unique in UG computing degrees???

3. Course Content Protein structure prediction Via database lookup methods Via machine learning methods Data mining in bioarray informatics Microarray technology and data Statistical analysis for clustering and classification

4. Some Representative Student Projects (UG/Masters) William Knottenbelt Parallelising the BGX Bioinformatics Package Daniel Rueckert Analysis of Fiber Tracking Algorithms for DT-NMR for a developing brain. Duncan Gillies Bayes Networks and DNA Sequence Analysis Philip Edwards Coronary CT Visualisation Marek Sergot Database of biological pathways Moustafa Ghanem Text Mining over Protein Databases Nobuko Yoshida Modelling Biological Interaction by Concurrent Atoms of Mobile Processes Vasa Curcin Visualisation of Protein Sequences Guang-Zhong Yang Bronchoscopy Navigation System Yike Guo Metabolic Pathway Representation for Drug Discovery

5. Representative PhD Students Irene Papatheodorou (Sergot) (From the bioinformatics MSc.) Inference of gene relations using abduction Vasa Curcin (Guo) Metabolic pathways Ali Hafiz (Muggleton) Active learning Hiroaki Watanabe (Muggleton) Combining logic and probability Georgia Chan [new] (Gillies) Bayes nets for bioinformatics Huy Vu [new] (Guo) Data mining for bioinformatics Jiang Ning [new] (Colton) Descriptive learning for bioinformatics Pedro Torres [very new] (Colton) High performance automated theory formation for bioinformatics