Award details

High-performance QTL analysis via the grid (GridQTL)

Reference	BBS/B/1695X
Principal Investigator / Supervisor	Dr Sara Knott
Co-Investigators / Co-Supervisors	Dr Dave Berry
Institution	University of Edinburgh
Department	Inst of Evolutionary Biology
Funding type	Research
Value (£)	1,252,702
Status	Completed
Type	Research Grant
Start date	12/12/2004
End date	11/06/2010
Duration	66 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 Topics	Animal Health, Technology and Methods Development
Research Priority	X – Research Priority information not available
Research Initiative	Bioinformatics and E Science Programme II (BEP2) [2003-2004]
Funding Scheme	X – not Funded via a specific Funding Scheme

Associated awards:

BBS/B/16976 High-performance QTL analysis via the grid (GridQTL)

BBS/B/16976/2 High-performance QTL analysis via the grid (GridQTL)

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