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Bio-Logical: an intelligent database for knowledge discovery in functional genomics

Reference	BEP17028
Principal Investigator / Supervisor	Professor Ross King
Co-Investigators / Co-Supervisors	Professor Stephen Oliver, Dr Helen Ougham
Institution	Aberystwyth University
Department	Computer Science
Funding type	Research
Value (£)	591,244
Status	Completed
Type	Research Grant
Start date	01/11/2002
End date	31/08/2007
Duration	58 months

Abstract

A consortium will be formed to develop intelligent database technology for functional genomics using data from S. cerevisiae (bakers yeast) as a model. Existing bioinformatic databases are generally designed only to store data and to make these data available to other biologists. We propose a reasoned but radically different type of database, one of which will have the capacity to aid biologists infer new biological knowledge. Such intelligent databases are needed to transform the flood of functional genomics data into knowledge. The database will store a curated collection of functional genomics data and background knowledge on S. cerevisiae. This database will be used to develop a logical inference tools based on: deduction, abduction, and induction (machine learning). These tools which will aid users to identify interesting new patterns and hypotheses in the data.

Summary

unavailable

Committee	Closed Committee - Engineering & Biological Systems (EBS)
Research Topics	X – not assigned to a current Research Topic
Research Priority	X – Research Priority information not available
Research Initiative	Bioinformatics and E Science Programme (BEP) [2000-2001]
Funding Scheme	X – not Funded via a specific Funding Scheme

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