RAREMETAL: fast and powerful meta-analysis for rare variants

Summary: RAREMETAL is a computationally efficient tool for meta-analysis of rare variants genotyped using sequencing or arrays. RAREMETAL facilitates analyses of individual studies, accommodates a variety of input file formats, handles related and unrelated individuals, executes both single variant...

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Detalles Bibliográficos
Autores principales: Feng, Shuang, Liu, Dajiang, Zhan, Xiaowei, Wing, Mary Kate, Abecasis, Gonçalo R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4173011/
https://www.ncbi.nlm.nih.gov/pubmed/24894501
http://dx.doi.org/10.1093/bioinformatics/btu367
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author Feng, Shuang
Liu, Dajiang
Zhan, Xiaowei
Wing, Mary Kate
Abecasis, Gonçalo R.
author_facet Feng, Shuang
Liu, Dajiang
Zhan, Xiaowei
Wing, Mary Kate
Abecasis, Gonçalo R.
author_sort Feng, Shuang
collection PubMed
description Summary: RAREMETAL is a computationally efficient tool for meta-analysis of rare variants genotyped using sequencing or arrays. RAREMETAL facilitates analyses of individual studies, accommodates a variety of input file formats, handles related and unrelated individuals, executes both single variant and burden tests and performs conditional association analyses. Availability and implementation: http://genome.sph.umich.edu/wiki/RAREMETAL for executables, source code, documentation and tutorial. Contact: sfengsph@umich.edu or goncalo@umich.edu
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spelling pubmed-41730112014-09-25 RAREMETAL: fast and powerful meta-analysis for rare variants Feng, Shuang Liu, Dajiang Zhan, Xiaowei Wing, Mary Kate Abecasis, Gonçalo R. Bioinformatics Applications Notes Summary: RAREMETAL is a computationally efficient tool for meta-analysis of rare variants genotyped using sequencing or arrays. RAREMETAL facilitates analyses of individual studies, accommodates a variety of input file formats, handles related and unrelated individuals, executes both single variant and burden tests and performs conditional association analyses. Availability and implementation: http://genome.sph.umich.edu/wiki/RAREMETAL for executables, source code, documentation and tutorial. Contact: sfengsph@umich.edu or goncalo@umich.edu Oxford University Press 2014-10 2014-06-03 /pmc/articles/PMC4173011/ /pubmed/24894501 http://dx.doi.org/10.1093/bioinformatics/btu367 Text en © The Author 2014. Published by Oxford University Press. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Notes
Feng, Shuang
Liu, Dajiang
Zhan, Xiaowei
Wing, Mary Kate
Abecasis, Gonçalo R.
RAREMETAL: fast and powerful meta-analysis for rare variants
title RAREMETAL: fast and powerful meta-analysis for rare variants
title_full RAREMETAL: fast and powerful meta-analysis for rare variants
title_fullStr RAREMETAL: fast and powerful meta-analysis for rare variants
title_full_unstemmed RAREMETAL: fast and powerful meta-analysis for rare variants
title_short RAREMETAL: fast and powerful meta-analysis for rare variants
title_sort raremetal: fast and powerful meta-analysis for rare variants
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4173011/
https://www.ncbi.nlm.nih.gov/pubmed/24894501
http://dx.doi.org/10.1093/bioinformatics/btu367
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AT wingmarykate raremetalfastandpowerfulmetaanalysisforrarevariants
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