METAL
Computational Tool
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General Information
DescriptionFast and efficient meta-analysis of genomewide association scans
Homepagehttp://www.sph.umich.edu/csg/abecasis/metal/
Publications
METAL: fast and efficient meta-analysis of genomewide association scans
Cristen J. Willer; Yun Li; Gonçalo R. Abecasis
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
DOI: https://doi.org/10.1093/bioinformatics/btq340
Metrics:
906
Canned Analyses generated by the tool
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Datasets analyzed by the tool
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