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

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 analys...

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Detalles Bibliográficos
Autores principales: Willer, Cristen J., Li, Yun, Abecasis, Gonçalo R.
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2010
Materias:
Applications Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2922887/
https://www.ncbi.nlm.nih.gov/pubmed/20616382
http://dx.doi.org/10.1093/bioinformatics/btq340
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author Willer, Cristen J.
Li, Yun
Abecasis, Gonçalo R.
author_facet Willer, Cristen J.
Li, Yun
Abecasis, Gonçalo R.
author_sort Willer, Cristen J.
collection PubMed
description 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
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spelling pubmed-29228872010-08-30 METAL: fast and efficient meta-analysis of genomewide association scans Willer, Cristen J. Li, Yun Abecasis, Gonçalo R. Bioinformatics Applications Note 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 2010-09-01 2010-07-08 /pmc/articles/PMC2922887/ /pubmed/20616382 http://dx.doi.org/10.1093/bioinformatics/btq340 Text en © The Author 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Note
Willer, Cristen J.
Li, Yun
Abecasis, Gonçalo R.
METAL: fast and efficient meta-analysis of genomewide association scans
title METAL: fast and efficient meta-analysis of genomewide association scans
title_full METAL: fast and efficient meta-analysis of genomewide association scans
title_fullStr METAL: fast and efficient meta-analysis of genomewide association scans
title_full_unstemmed METAL: fast and efficient meta-analysis of genomewide association scans
title_short METAL: fast and efficient meta-analysis of genomewide association scans
title_sort metal: fast and efficient meta-analysis of genomewide association scans
topic Applications Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2922887/
https://www.ncbi.nlm.nih.gov/pubmed/20616382
http://dx.doi.org/10.1093/bioinformatics/btq340
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AT liyun metalfastandefficientmetaanalysisofgenomewideassociationscans
AT abecasisgoncalor metalfastandefficientmetaanalysisofgenomewideassociationscans

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