Summary: BIOINFORMATICS APPLICATIONS NOTE
Vol. 26 no. 17 2010, pages 2190­2191
doi:10.1093/bioinformatics/btq340
Genome analysis Advance Access publication July 8, 2010
METAL: fast and efficient meta-analysis of genomewide
association scans
Cristen J. Willer1, Yun Li1,2 and Gonçalo R. Abecasis1,
1Department of Biostatistics, University of Michigan, 1420 Washington Heights, Ann Arbor, 48109 and 2Department
of Genetics, Department of Biostatistics, University of North Carolina
Associate Editor: Burkhard Rost
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/

Source: Abecasis, Goncalo - Department of Biostatistics, University of Michigan

Collections: Biology and Medicine; Mathematics