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High-performance QTL analysis via the grid (GridQTL)

ReferenceBBS/B/1695X
Principal Investigator / Supervisor Dr Sara Knott
Co-Investigators /
Co-Supervisors
Dr Dave Berry
Institution University of Edinburgh
DepartmentInst of Evolutionary Biology
Funding typeResearch
Value (£) 1,252,702
StatusCompleted
TypeResearch Grant
Start date 12/12/2004
End date 11/06/2010
Duration66 months

Abstract

We will develop and implement a grid-based platform for robust and rapid multiple trait mapping of interacting quantitative trait loci in simple and complex pedigrees, with a particular focus on high-throughput QTL analysis of gene expression array data (mapping eQTL). The existing QTL Express Java Servlet platform will be transformed to be grid compatible with novel methods for flexible workflow management and resource allocation, adding data persistence and detached execution. New approaches for multitrait and multiple QTL analysis in structured populations will be developed and tested using real and simulated data and implemented on the grid-base platform. This development on the grid provides an essential core component of a future integrated system incorporating genetic, phenotypic, transcription and comparative information to allow prediction from sequence to consequence. (Joint with BBS/B/16976).

Summary

unavailable
Committee Closed Committee - Genes & Developmental Biology (GDB)
Research TopicsAnimal Health, Technology and Methods Development
Research PriorityX – Research Priority information not available
Research Initiative Bioinformatics and E Science Programme II (BEP2) [2003-2004]
Funding SchemeX – not Funded via a specific Funding Scheme
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