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Multivariate data-mining for determining biological principles underlying sustainable livestock-based land management

Reference	BBS/B/1387X
Principal Investigator / Supervisor	Dr Helen Ougham
Co-Investigators / Co-Supervisors	Dr Mervyn Owen Humphreys, Professor Stephen Jarvis, Professor Michael Theodorou
Institution	Inst of Grassland and Environmental Res
Department	Plant Genetics and Breeding
Funding type	Research
Value (£)	251,853
Status	Completed
Type	Research Grant
Start date	01/05/2004
End date	30/04/2007
Duration	36 months

Abstract

The project will establish a coordinated machine-learning approach to integrating datasets across the range of IGERs research into sustainable land management. Appropriate hardware and software will be evaluated and commissioned. A training framework will be developed for providers of datasets to exploit enhanced bioinformatics resources. Software and data-mining approaches will be applied to selected separate but biologically interrelated datasets to identify emergent properties and higher-order factors within the complexity of the overall system. Machine-learning approaches for high-performance computing (local cluster, Grid) will be made available. IGERs informatics strategy will be coordinated with those of other organisations.

Summary

unavailable

Committee	Closed Committee - Agri-food (AF)
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 II (BEP2) [2003-2004]
Funding Scheme	X – not Funded via a specific Funding Scheme

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