Journal Article

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

Karol Estrada, Anis Abuseiris, Frank G. Grosveld, André G. Uitterlinden, Tobias A. Knoch and Fernando Rivadeneira

in Bioinformatics

Volume 25, issue 20, pages 2750-2752
Published in print October 2009 | ISSN: 1367-4803
Published online August 2009 | e-ISSN: 1460-2059 | DOI: http://dx.doi.org/10.1093/bioinformatics/btp497

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Summary: 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.

Contact: ta.knoch@taknoch.org; f.rivadeneira@erasmusmc.nl

Journal Article.  1400 words.  Illustrated.

Subjects: Bioinformatics and Computational Biology

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