OXFORD UNIVERSITY COMPUTING LABORATORY

Computational Biology Group

The Computational Biology Group, led by Professor David Gavaghan, is an interdisciplinary group based within the Computing Laboratory.�The group engages in theoretical and applied, interdisciplinary and practise-based research at the interface between computer science and the biomedical sciences, focussing on applying computer science and mathematical techniques to clinically and biologically pressing problems. Key applications include physiological modelling (heart, cardiovascular and cardiorespiratory systems, soft tissue mechanics and cancer), biological image and signal analysis, and systems biology. Work is almost entirely done jointly with domain specialists in life sciences and clinical departments. The Computational Biology Group also plays a key role in interdisciplinary initiatives across the University, including the Life Sciences Interface and Systems Biology DTCs which are led by Professor Gavaghan and the BBSRC/EPSRC-funded Centre for Integrative Systems Biology.

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recent publications

An investigation into the role of the optical detection set-up in the recording of cardiac optical mapping signals: a Monte Carlo simulation study.

Bishop MJ, Bub G, Garny A, Gavaghan D, Rodriguez B

Physica D, 2009.

A Geometrical Model for the SNP Motif Identification Problem

Gaofeng Huang, Peter Jeavons

In Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2007 pages 395-402. 2007.

Exact and Heuristic Approaches for Identifying Disease-Associated SNP Motifs

Gaofeng Huang, Peter Jeavons and Dominic Kwiatkowski

In Proceedings of 5th Asia-Pacific Bioinformatics Conference, APBC 2007 Vol. 5 of Advances in Bioinformatics and Computational Biology, pages 175-184. Imperial College Press, 2007.

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