GRIMP: a web- and grid-based tool for high-speed analysis of large-scale genome-wide association using imputed data.
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.
Estrada
Karol
K
Department of Internal Medicine, Erasmus MC, Dr. Molewaterplein 50, 3015GE Rotterdam, The Netherlands.
Abuseiris
Anis
A
Grosveld
Frank G
FG
Uitterlinden
André G
AG
Knoch
Tobias A
TA
Rivadeneira
Fernando
F
D019295:Computational Biology / Q000379:methods*; D030541:Databases, Genetic; D016678:Genome; D055106:Genome-Wide Association Study / Q000379:methods*; D023281:Genomics / Q000379:methods*; D020407:Internet; D012984:Software
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