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.

Additional Metadata
Keywords genome wide association studies, grid/high-performance computing
Persistent URL dx.doi.org/10.1093/bioinformatics/btp497, hdl.handle.net/1765/17552
Journal Bioinformatics
Rights This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/ by-nc/2.5/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation
Estrada Gil, K, Abuseiris, A, Grosveld, F.G, Uitterlinden, A.G, Knoch, T.A, & Rivadeneira Ramirez, F. (2009). GRIMP: A web- and grid-based tool for high-speed analysis of large-scale genome-wide association using imputed data.. Bioinformatics, 25(20), 2750–2752. doi:10.1093/bioinformatics/btp497