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Bioinformatics. 2010 Sep 1;26(17):2190-1. doi: 10.1093/bioinformatics/btq340. Epub 2010 Jul 8.

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

Author information

  • 1Department of Biostatistics, University of Michigan, 1420 Washington Heights, Ann Arbor, Michigan 48109, USA.

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/.

PMID:
20616382
[PubMed - indexed for MEDLINE]
PMCID:
PMC2922887
Free PMC Article
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