GridQTL: A Grid Portal for QTL Mapping of Compute Intensive Datasets.

George Seaton, Jules Hernandez-Sanchez, Jean-Alain Grunchec, Ian White, John Allen, Dj De Koning, Wenhua Wei, Dave Berry, Chris Haley, Sara Knott

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

QTL mapping is an essential tool for the understanding of the genetic basis of complex traits, including health and production traits in farm animals and disorders and quantitative risk factors for disease in animal and human populations. QTL Express has provided a user-friendly and web-accessible analysis tool that has seen wide use for the analysis of experimental data,
particularly from studies of outbred species. With the advent of microarrays, high-density multiple trait gene expression datasets are now prevalent. Paralleled with the availability of dense SNP marker maps for thousands of individuals this results in a computationally intensive and complex QTL mapping problem. The GridQTL project aims to provide an expanded and improved QTL analysis tool that harnesses Grid technologies to deal with greatly increased computational demands.
Original languageEnglish
Title of host publicationProceedings of the 8th World Congress on Genetics Applied to Livestock Production (Belo horizonte, Brazil)
ISBN (Electronic)ISBN: 85-60088-01-6
Publication statusPublished - 2006
Event8th World Congress of Genetics Applied to Livestock Production [WCGALP] - Belo Horizonte, Brazil
Duration: 13 Aug 200618 Aug 2006

Conference

Conference8th World Congress of Genetics Applied to Livestock Production [WCGALP]
Country/TerritoryBrazil
CityBelo Horizonte
Period13/08/0618/08/06

Keywords / Materials (for Non-textual outputs)

  • QTL mapping
  • Grid computing

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