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Award details
From sequence to function: information retrieval and sematic networks as tools for improved function prediction
Reference
BIO10507
Principal Investigator / Supervisor
Professor Andy Brass
Co-Investigators /
Co-Supervisors
Professor Carole Goble
Institution
The University of Manchester
Department
Computer Science
Funding type
Research
Value (£)
136,212
Status
Completed
Type
Research Grant
Start date
01/07/1999
End date
01/07/2002
Duration
36 months
Abstract
Prediction of protein function from sequence is a key task in Bioinformatics but is a difficult process to automate efficiently. In this project automated tools for sequence analysis will be produced. The results from this analysis will then be subject to analysis from information retrieval theory to produce a set of index terms. These terms will be used to determine the relatedness of the information generated and assist in the process of function prediction. Description logics will then be used to generate an intelligent thesaurus for a model biological domain which can be used to link index terms to concepts. This information will be used to generate automated function prediction based on biological knowledge.
Summary
unavailable
Committee
Not funded via Committee
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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