Award details

Computational approaches to identifying gene regulatory systems in arabidopsis

Reference	EGM16127
Principal Investigator / Supervisor	Professor Sean May
Co-Investigators / Co-Supervisors
Institution	University of Nottingham
Department	Sch of Biosciences
Funding type	Research
Value (£)	123,556
Status	Completed
Type	Research Grant
Start date	01/06/2002
End date	31/07/2005
Duration	38 months

Abstract

Genes encode regulatory information that specifies the time and place of gene expression, and co-ordinated gene expression resulting from this information is a critical mechanism regulating all aspects of development and environmental responses. This proposal aims to establish and validate a bioinformatics toolkit to interpret the information content of Arabidopsis promoters and initiate the systematic description of gene regulatory networks. (Joint with grants 208/EGM16126 and 83/EGM16128).

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	Exploiting Genomics: Manufacturing & New Post Tech (EGM) [2001]
Funding Scheme	X – not Funded via a specific Funding Scheme

Associated awards:

EGM16126 Computational approaches to identifying gene regulatory networks in arabidopsis

EGM16128 Comptutational approaches to identifying gene regulatory systems in arabidopsis

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