Research Operations Office

The Rise and Rise of Computational Biology: From Technology to Health and Wealth

A one-day seminar held at the University of Cambridge on 8 July 2003.

Presentations

Here are the presentations from the day that we have available for download:

Underpinning Technology: Data mining, analysis and modelling

Data integration for genomics - the FlyMine Project
Dr Gos Micklem, Department of Genetics
Baysian modelling of microarrays
Dr David McKay for Mr John Winn, Department of Physics
The proteome, bioinformatics and drug discovery
Professor Sir Tom Blundell, Department of Biochemistry

From Genes to Populations: Applications of genome technology in populations

Evolutionary studies in comparative genomics
Dr Nick Goldman, Bioinformatics Institute
Human diversity and evolution: genes, populations and history
Dr Robert Foley, Department of Biological Anthropology
From genes to epidemics
Professor Bryan Grenfell, Department of Zoology

Applications to Health: Molecular medicine, problems and prospects

Individual risks of disease: implications for screening and prevention
Professor Bruce Ponder, Department of Oncology
Clinical cancer genomics
Professor Carlos Caldas, Department of Oncology
Evaluation of novel biomarkers in chronic disease
Professor John Danesh, Department of Public Health & Primary Care
Molecular medicine: problems and prospects in type 2 diabetes
Dr Nick Wareham, Department of Public Health and Primary Care

Wealth Creation: Meeting the Challenges: Technology, business and ethics issues

Finding new therapeutic hypotheses from the genome
Dr Sam Aparicio, Department of Oncology & Paradigm Therapeutics
Computational biology: ethical issues in moving from technology to 'health and wealth'
Dr Ron Zimmern & Dr Alison Stewart, Public Health Genetics Unit
Wealth and technology in computational biology: the view from the computer industry
Dr Tim Mattson, Intel

Summary

The second event in the first Horizon series provided delegates with an insight into the interdisciplinary research and innovation in this fast growing and critical area for society, which includes genomics, proteomics, metabolomics and bio- and health informatics.