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Bioinformatics Teaching in the Department of Computing

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

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Bioinformatics Teaching in the Department of Computing

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  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

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