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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

Bioinformatics Teaching in the Department of Computing

Dr. Simon Colton

Computational Bioinformatics Laboratory

bioinformatics course
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???
course content
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
some representative student projects ug masters
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
representative phd students
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