GRIMP: a web- and grid-based tool for high-speed analysis of large-scale genome-wide association using imputed data.

Bioinformatics

Department of Internal Medicine, Erasmus MC, Dr. Molewaterplein 50, 3015GE Rotterdam, The Netherlands.

Published: October 2009

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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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2759548PMC
http://dx.doi.org/10.1093/bioinformatics/btp497DOI Listing

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