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In silico discovery of functional single nucleotid polymorphisms

Reference	G20322
Principal Investigator / Supervisor	Professor Keith Edwards
Co-Investigators / Co-Supervisors	Dr Gary Barker
Institution	University of Bristol
Department	Biological Sciences
Funding type	Research
Value (£)	177,819
Status	Completed
Type	Research Grant
Start date	01/01/2004
End date	31/12/2006
Duration	36 months

Abstract

There are over 10 million Expressed Sequence Tags (EST) in the public databases. Wheat is the most highly represented plant taxa with over 420K entries in dbEST. We have developed an electronic Single Nucleotide Polymorphism detection system, AutoSNP which can mine candidate SNPs from EST databases. Given the size of the public EST databases, our program generates far more candidate SNPs than can be analysed by an interested researcher. We will expand the software so that it is capable of selecting non-synonymous SNPs which fall within conserved protein domains. Unlike the majority of SNPs, those that pass through these filters will have a high probability of affecting phenotype, be it crop yield or human disease susceptibility.

Summary

unavailable

Committee	Closed Committee - Genes & Developmental Biology (GDB)
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

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