Download Bioinformatics Teaching in the Department of Computing

Bioinformatics Teaching
in the Department of
Computing
Dr. Simon Colton
Computational Bioinformatics
Laboratory
Bioinformatics Course
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To fill a gap in bioinformatics education
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3rd year/Msc/JMC option, taught by:
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Simon Colton, Yike Guo (Moustafa Ghanem)
Mike Sternberg, Stephen Muggleton
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Student numbers (2003/4/5) = 25/50/75
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Unique in UG computing degrees???
Course Content
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Protein structure prediction
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Via database lookup methods
Via machine learning methods
Data mining in bioarray informatics
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Microarray technology and data
Statistical analysis for clustering and classification
Some Representative
Student Projects (UG/Masters)
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William Knottenbelt
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Parallelising the BGX
Bioinformatics Package
Daniel Rueckert
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Analysis of Fiber Tracking
Algorithms for DT-NMR for a
developing brain.
Duncan Gillies
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Bayes Networks and DNA
Sequence Analysis
Philip Edwards
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Coronary CT Visualisation
Marek Sergot
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Database of biological pathways
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Moustafa Ghanem
Text Mining over Protein Databases
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Nobuko Yoshida
Modelling Biological Interaction by
Concurrent Atoms of Mobile Processes
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Vasa Curcin
Visualisation of Protein Sequences
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Guang-Zhong Yang
Bronchoscopy Navigation System
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Yike Guo
Metabolic Pathway Representation for
Drug Discovery
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Representative PhD Students
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Irene Papatheodorou (Sergot)
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(From the bioinformatics MSc.)
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Inference of gene relations using
abduction
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Vasa Curcin (Guo)
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Metabolic pathways
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Ali Hafiz (Muggleton)
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Active learning
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Hiroaki Watanabe (Muggleton)
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Combining logic and probability
Georgia Chan [new] (Gillies)
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Bayes nets for bioinformatics
Huy Vu [new] (Guo)
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Data mining for bioinformatics
Jiang Ning [new] (Colton)
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Descriptive learning for bioinformatics
Pedro Torres [very new] (Colton)
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High performance automated theory
formation for bioinformatics