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GRIMP: a Web- and Grid-based Tool for High-speed Analysis of Large-scale Genome-wide Association Using Imputed Data

Overview
Journal Bioinformatics
Publisher Oxford University Press
Specialty Biology
Date 2009 Aug 25
PMID 19700477
Citations 30
Authors
Karol Estrada
Anis Abuseiris
Frank G Grosveld
Andre G Uitterlinden
Tobias A Knoch
Fernando Rivadeneira
Affiliations
Soon will be listed here.
Abstract

The current fast growth of genome-wide association studies (GWAS) combined with now common computationally expensive imputation requires the online access of large user groups to high-performance computing resources capable of analyzing rapidly and efficiently millions of genetic markers for ten thousands of individuals. Here, we present a web-based interface--called GRIMP--to run publicly available genetic software for extremely large GWAS on scalable super-computing grid infrastructures. This is of major importance for the enlargement of GWAS with the availability of whole-genome sequence data from the 1000 Genomes Project and for future whole-population efforts.

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