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

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 fo...

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Detalles Bibliográficos
Autores principales: Estrada, Karol, Abuseiris, Anis, Grosveld, Frank G., Uitterlinden, André G., Knoch, Tobias A., Rivadeneira, Fernando
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2009
Materias:
Applications Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2759548/
https://www.ncbi.nlm.nih.gov/pubmed/19700477
http://dx.doi.org/10.1093/bioinformatics/btp497
Descripción
Sumario: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

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