Details of Grant 

EPSRC Reference:	GR/R67125/01
Title:	Discovering the frontiers of Statistical Bioinformatics
Principal Investigator:	Wit, Professor E
Other Investigators:
Researcher Co-Investigators:
Project Partners:
Department:	Statistics
Organisation:	University of Glasgow
Scheme:	Fast Stream
Starts:	15 October 2001	Ends:	14 January 2004	Value (£):	14,180
EPSRC Research Topic Classifications:	Statistics & Appl. Probability
EPSRC Industrial Sector Classifications:	Pharmaceuticals and Biotechnology No relevance to Underpinning Sectors
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Panel History:
Summary on Grant Application Form
Post-genomic research is best described as functional genomics. Gene expression data, such as transcriptome and proteome data, are noisy, high dimensional data and biological researchers need techniques to integrate this information into sensible, biologically informed, statistical models. The postgenomic era is very young and statisticians around the world are only now beginning to create models for these kinds of data. Dr Wit is working on Bayesian models to describe the high-dimensional data via lower dimensional states. Hidden Markov Models in the spirit of Robert et al. (2000) are an important inspiration. For numerical implementation Dr Wit is looking towards variable dimension MCMCs in the spirit of Richardson and Green (1997). For a young researcher like Dr E Wit, now is the time to initiate collaboration with statisticians in this field, to learn from them what techniques and methods they consider most appropriate, and to start considering joint publications. Terry Speed is one of the leading statisticians in statistical genetics and Dr Wit eager to accept his invitation to his Microarray Data Analysis group in Berkeley. Wing W ong runs the Computational Biology Lab at Harvard and shares Dr Wit's interest in Markov Chain Monte Carlo methods. Dr Wit plans to visit him and his postdoc Andrew Strahs. Further visits to Dr Kugiumtzis in Greece, Professor Corradi and Dr Stefanini in Italy, and Dr Penev in Australia are planned. Furthermore, Dr Wit is submitting a paper to present at the statistical bioinformatics conference in New Zealand in December 2001.
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Organisation Website:	http://www.gla.ac.uk