GRIMP: a web- and grid-based tool for high-speed analysis of large-scale genome-wide association using imputed data

Summary: The current fast growth of genome-wide association studies (GWAS) combined with now common computationally expensive imputation requires the online access of large user groups to high-performance computing resources capable of analyzing rapidly and efficiently millions of genetic markers fo...

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Detalles Bibliográficos
Autores principales: Estrada, Karol, Abuseiris, Anis, Grosveld, Frank G., Uitterlinden, André G., Knoch, Tobias A., Rivadeneira, Fernando
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2009
Materias:
Applications Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2759548/
https://www.ncbi.nlm.nih.gov/pubmed/19700477
http://dx.doi.org/10.1093/bioinformatics/btp497
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author Estrada, Karol
Abuseiris, Anis
Grosveld, Frank G.
Uitterlinden, André G.
Knoch, Tobias A.
Rivadeneira, Fernando
author_facet Estrada, Karol
Abuseiris, Anis
Grosveld, Frank G.
Uitterlinden, André G.
Knoch, Tobias A.
Rivadeneira, Fernando
author_sort Estrada, Karol
collection PubMed
description Summary: The current fast growth of genome-wide association studies (GWAS) combined with now common computationally expensive imputation requires the online access of large user groups to high-performance computing resources capable of analyzing rapidly and efficiently millions of genetic markers for ten thousands of individuals. Here, we present a web-based interface—called GRIMP—to run publicly available genetic software for extremely large GWAS on scalable super-computing grid infrastructures. This is of major importance for the enlargement of GWAS with the availability of whole-genome sequence data from the 1000 Genomes Project and for future whole-population efforts. Contact: ta.knoch@taknoch.org; f.rivadeneira@erasmusmc.nl
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spelling pubmed-27595482009-10-15 GRIMP: a web- and grid-based tool for high-speed analysis of large-scale genome-wide association using imputed data Estrada, Karol Abuseiris, Anis Grosveld, Frank G. Uitterlinden, André G. Knoch, Tobias A. Rivadeneira, Fernando Bioinformatics Applications Note Summary: The current fast growth of genome-wide association studies (GWAS) combined with now common computationally expensive imputation requires the online access of large user groups to high-performance computing resources capable of analyzing rapidly and efficiently millions of genetic markers for ten thousands of individuals. Here, we present a web-based interface—called GRIMP—to run publicly available genetic software for extremely large GWAS on scalable super-computing grid infrastructures. This is of major importance for the enlargement of GWAS with the availability of whole-genome sequence data from the 1000 Genomes Project and for future whole-population efforts. Contact: ta.knoch@taknoch.org; f.rivadeneira@erasmusmc.nl Oxford University Press 2009-10-15 2009-08-28 /pmc/articles/PMC2759548/ /pubmed/19700477 http://dx.doi.org/10.1093/bioinformatics/btp497 Text en © The Author(s) 2009. 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/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Note
Estrada, Karol
Abuseiris, Anis
Grosveld, Frank G.
Uitterlinden, André G.
Knoch, Tobias A.
Rivadeneira, Fernando
GRIMP: a web- and grid-based tool for high-speed analysis of large-scale genome-wide association using imputed data
title GRIMP: a web- and grid-based tool for high-speed analysis of large-scale genome-wide association using imputed data
title_full GRIMP: a web- and grid-based tool for high-speed analysis of large-scale genome-wide association using imputed data
title_fullStr GRIMP: a web- and grid-based tool for high-speed analysis of large-scale genome-wide association using imputed data
title_full_unstemmed GRIMP: a web- and grid-based tool for high-speed analysis of large-scale genome-wide association using imputed data
title_short GRIMP: a web- and grid-based tool for high-speed analysis of large-scale genome-wide association using imputed data
title_sort grimp: a web- and grid-based tool for high-speed analysis of large-scale genome-wide association using imputed data
topic Applications Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2759548/
https://www.ncbi.nlm.nih.gov/pubmed/19700477
http://dx.doi.org/10.1093/bioinformatics/btp497
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