Award details

Software tools for complex mixture analysis of proteome proteins

Reference	BIO10517
Principal Investigator / Supervisor	Professor Simon Hubbard
Co-Investigators / Co-Supervisors	Professor Stephen Oliver, Professor Olaf Wolkenhauer
Institution	The University of Manchester
Department	Life Sciences
Funding type	Research
Value (£)	119,898
Status	Completed
Type	Research Grant
Start date	11/01/1999
End date	11/07/2001
Duration	30 months

Abstract

The recent completion of a number of genome sequencing projects has prompted a developing interest in proteome research. This challenging new area exploits known genome sequences to study the protein complement of a cell or tissue under given physiological, developmental or pathological conditions, and promises to deliver novel information on protein function and expression. The technology relies on the reduction of complexity of proteome samples to tractable mixtures of proteins which can be identified via characteristic peptide masses. This is accomplished by mass spectrometry and bioinformatics tools. A new generation of software tools are required which are designed to meet this challenge, that can handle the complex protein mixtures produced by proteome technologies, and are fully integrated with existing biological proteome data resources.

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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