Award details

Prediction of protein function in plant genomes using data mining

Reference	BIO14248
Principal Investigator / Supervisor	Professor Ross King
Co-Investigators / Co-Supervisors	Professor Sean May, Dr Helen Ougham
Institution	Aberystwyth University
Department	Computer Science
Funding type	Research
Value (£)	164,992
Status	Completed
Type	Research Grant
Start date	01/06/2001
End date	30/06/2004
Duration	37 months

Abstract

The work will extend our recently developed technique of predicting gene functional class from sequence. This novel method has previously been shown to be successful on microorganisms. At an estimated accuracy of 60-70% it predicts 65% of the previously unassigned genes in the M. tuberculosis genome and 24% for the E. coli genome. We will extend the work by: moving from microorganisms to plants (specifically Arabidopsis and rice), extending the type of bioinformatic data used (better sequence descriptions, structure prediction, transcriptome, proteome, metabolome, QTL data), and by refining the data mining methodology (an order of magnitude more data, hybrid propositional/ILP methods, and better use of background knowledge).

Summary

unavailable

Committee	Closed Committee - Plant & Microbial Sciences (PMS)
Research Topics	X – not assigned to a current Research Topic
Research Priority	X – Research Priority information not available
Research Initiative	Bioinformatics (Phase 2) (BIO) [1998-2000]
Funding Scheme	X – not Funded via a specific Funding Scheme

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