METAL: fast and efficient meta-analysis of genomewide association scans
Bioinformatics, 2010•academic.oup.com
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 …
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 …
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
Oxford University Press