METAL: fast and efficient meta-analysis of genomewide association scans
METAL: быстрый и эффективный метаанализ сканов ассоциаций по всему геному
2010-07-08
SCID: 54.1/ee7qcaqw
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METALefficient memory managementgenome-wide association scansmeta-analysisscripting interface
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Abstract (AI)
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/.
Key Findings
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METAL (source code, documentation, examples, executables) is publicly available at the provided URL
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METAL implements efficient memory management to allow analysis of very large data sets
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METAL improves power for gene mapping studies of complex traits by enabling meta-analysis across studies
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METAL is a computationally efficient tool for meta-analysis of genome-wide association scans
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METAL provides a rich scripting interface and supports a variety of input file formats
Research Object
METAL software for meta-analysis of genome-wide association scans
Research Subject
Fast and efficient computational meta-analysis of genome-wide association scan results, including scalable memory management, scripting interface, and support for very large datasets and multiple input formats
Publication Details
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2010-07-08
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