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


Article
volume 25, issue 20 pp 2750-2752.
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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.



Keywords


Automatically Extracted Terms
  • package
  • database
  • genome-wide association studies
  • analysis
  • study
  • job handler
  • marker
  • infrastructure
  • grimp
  • association
  • access
  • sample
  • handler
  • genome-wide
  • whole-genome sequence data
  • result
  • resource
  • head node
  • grid resources
  • grid resource database