BBSRC Portfolio Analyser

Award details

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

ReferenceGAT09143
Principal Investigator / Supervisor Professor Peter Visscher
Co-Investigators /
Co-Supervisors		 Professor Michael Kearsey, Dr Sara Knott
Institution University of Edinburgh
DepartmentInst of Ecology and Resource Management
Funding typeResearch
Value (£) 79,263
StatusCompleted
TypeResearch Grant
Start date 01/07/1999
End date 07/07/2001
Duration32 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 GAT09144).

Summary

unavailable
Committee Closed Committee - Genes & Developmental Biology (GDB)
Research TopicsX – not assigned to a current Research Topic
Research PriorityX – Research Priority information not available
Research Initiative Genome Analysis of Agriculturally Important Traits (GAT) [1997-1998]
Funding SchemeX – not Funded via a specific Funding Scheme
terms and conditions of use (opens in new window)
export PDF file
back to list new search