Department of Internal Medicine, Erasmus MC, Dr. Molewaterplein 50, 3015GE Rotterdam, The Netherlands.
Bioinformatics. 2009 Oct 15;25(20):2750-2. doi: 10.1093/bioinformatics/btp497. Epub 2009 Aug 21.
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.
目前,全基因组关联研究(GWAS)的快速发展,加上现在常见的计算成本高昂的推断,需要大量用户组在线访问高性能计算资源,以便能够快速有效地分析数十万个个体的数百万个遗传标记。在这里,我们提出了一个基于网络的界面——称为 GRIMP——用于在可扩展的超级计算网格基础设施上运行公共可用的遗传软件,以进行极其大型的 GWAS。这对于利用 1000 基因组计划提供的全基因组序列数据扩大 GWAS 以及未来的全人群研究具有重要意义。