Award details

Metabolic footprinting: A high-information strategy for functional genomics

Reference	E19355
Principal Investigator / Supervisor	Professor Stephen Oliver
Co-Investigators / Co-Supervisors
Institution	The University of Manchester
Department	Life Sciences
Funding type	Research
Value (£)	189,712
Status	Completed
Type	Research Grant
Start date	01/12/2003
End date	30/11/2006
Duration	36 months

Abstract

Based on successful preliminary data to develop, extend and exploit metabolic footprinting via Direct Injection Mass Spectrometry as a novel and informative method for functional genomics, (i) by applying it to the full collection of yeast single- gene-knockout strains, (ii) by exploiting GC-MS and (iii) FTICR in the analysis of the metabolic footprints, and (iv) by storing the data in a robust, web-accessible relational database. Multivariate statistical and machine learning method - especially Genetic Programming - will be used to establish the biochemical basis for the differences between the strains that are observed. By comparison with the footprints from strains carrying lesions in known and unknown genes we shall infer the functions of the latter. (Joint with grant number 19354).

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	X - not in an Initiative
Funding Scheme	X – not Funded via a specific Funding Scheme

Associated awards:

E19354 Metabolomic footprinting: A high-information strategy for functional genomics

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