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

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ID: 289515
2010
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Abstract
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
Reference Key
openalex_W2133520037 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Cristen J. Willer, Yun Li, Gonçalo R. Abecasis
Journal BMC Bioinformatics
Year 2010
DOI
10.1093/bioinformatics/btq340
URL
https://doi.org/10.1093/bioinformatics/btq340
Keywords Keywords not found

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