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METAL: fast and efficient meta-analysis of genomewide association scans

2010; Oxford University Press; Volume: 26; Issue: 17 Linguagem: Inglês

10.1093/bioinformatics/btq340

1367-4811

Cristen J. Willer, Yun Li, Gonçalo R. Abecasis,

Genetic and phenotypic traits in livestock

Abstract Summary: METAL provides a computationally efficient tool for meta-analysis of genome-wide association scans, which is a commonly used approach for improving power complex traits gene mapping studies. METAL provides a rich scripting interface and implements efficient memory management to allow analyses of very large data sets and to support a variety of input file formats. Availability and implementation: METAL, including source code, documentation, examples, and executables, is available at http://www.sph.umich.edu/csg/abecasis/metal/ Contact: goncalo@umich.edu