METAL: fast and efficient meta-analysis of genomewide association scans
Cristen J. Willer(University of Michigan), Yun Li(University of Michigan), Gonçalo R. Abecasis(University of Michigan)
Cited by 5,748Open Access
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/.
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