Award details

User-friendly software to analyse QTL mapping data using outbred populations

Reference	GAT09144
Principal Investigator / Supervisor	Professor Christopher Haley
Co-Investigators / Co-Supervisors	Mr David Nicholson
Institution	The Roslin Institute
Department	Div of Genetics & Biometry
Funding type	Research
Value (£)	81,689
Status	Completed
Type	Research Grant
Start date	28/09/1998
End date	28/03/2002
Duration	42 months

Abstract

We will develop a graphical user workbench to provide access to the quantitative trait loci (QTL) mapping applications and display tools being developed as part of the project. The workbench will be organised in a user friendly, stand-alone fashion with the applications and data accessible through a series of pull down menus and tool bars. The package will be developed in Java, which confers inherent multi-platform support (Unix, Windows, Macintosh). The package is designed to analyse molecular marker and quantitative data from outbred populations, e.g. livestock populations, trees, and forage crops. For simple experimental designs, computer efficient repression based methods will be used to map QTLs. For complex designs, maximum likelihood methods will be used. End-users will be researchers who have set up QTL mapping experiments in trees and livestock species, and the forestry and livestock industry (breeding companies, artificial insemination companies). (Joint with grant GAT09143).

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	Genome Analysis of Agriculturally Important Traits (GAT) [1997-1998]
Funding Scheme	X – not Funded via a specific Funding Scheme

Associated awards:

GAT09143 User-friendly software to analyse QTL mapping data using outbred populations

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