Bioinformatics Teaching in the Department of Computing

Dr. Simon ColtonComputational 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

Student numbers (2003/4/5) = 25/50/75

Unique in UG computing degrees???

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)

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

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