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


METHODS
METAL, including source code, documentation, examples, and executables, is available at http://www.sph.umich.edu/csg/abecasis/metal/.
Willer
Cristen J
CJ
Department of Biostatistics, University of Michigan, 1420 Washington Heights, Ann Arbor, Michigan 48109, USA.
Li
Yun
Y
Abecasis
Gonçalo R
GR
D002874:Chromosome Mapping; D019295:Computational Biology / Q000379:methods*; D055106:Genome-Wide Association Study; D012984:Software