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SNPsyn: detection and exploration of SNP–SNP interactions

SNPsyn (http://snpsyn.biolab.si) is an interactive software tool for the discovery of synergistic pairs of single nucleotide polymorphisms (SNPs) from large genome-wide case-control association studies (GWAS) data on complex diseases. Synergy among SNPs is estimated using an information-theoretic ap...

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Detalles Bibliográficos
Autores principales: Curk, Tomaz, Rot, Gregor, Zupan, Blaz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3125755/
https://www.ncbi.nlm.nih.gov/pubmed/21576219
http://dx.doi.org/10.1093/nar/gkr321
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author Curk, Tomaz
Rot, Gregor
Zupan, Blaz
author_facet Curk, Tomaz
Rot, Gregor
Zupan, Blaz
author_sort Curk, Tomaz
collection PubMed
description SNPsyn (http://snpsyn.biolab.si) is an interactive software tool for the discovery of synergistic pairs of single nucleotide polymorphisms (SNPs) from large genome-wide case-control association studies (GWAS) data on complex diseases. Synergy among SNPs is estimated using an information-theoretic approach called interaction analysis. SNPsyn is both a stand-alone C++/Flash application and a web server. The computationally intensive part is implemented in C++ and can run in parallel on a dedicated cluster or grid. The graphical user interface is written in Adobe Flash Builder 4 and can run in most web browsers or as a stand-alone application. The SNPsyn web server hosts the Flash application, receives GWAS data submissions, invokes the interaction analysis and serves result files. The user can explore details on identified synergistic pairs of SNPs, perform gene set enrichment analysis and interact with the constructed SNP synergy network.
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spelling pubmed-31257552011-07-05 SNPsyn: detection and exploration of SNP–SNP interactions Curk, Tomaz Rot, Gregor Zupan, Blaz Nucleic Acids Res Articles SNPsyn (http://snpsyn.biolab.si) is an interactive software tool for the discovery of synergistic pairs of single nucleotide polymorphisms (SNPs) from large genome-wide case-control association studies (GWAS) data on complex diseases. Synergy among SNPs is estimated using an information-theoretic approach called interaction analysis. SNPsyn is both a stand-alone C++/Flash application and a web server. The computationally intensive part is implemented in C++ and can run in parallel on a dedicated cluster or grid. The graphical user interface is written in Adobe Flash Builder 4 and can run in most web browsers or as a stand-alone application. The SNPsyn web server hosts the Flash application, receives GWAS data submissions, invokes the interaction analysis and serves result files. The user can explore details on identified synergistic pairs of SNPs, perform gene set enrichment analysis and interact with the constructed SNP synergy network. Oxford University Press 2011-07-01 2011-05-14 /pmc/articles/PMC3125755/ /pubmed/21576219 http://dx.doi.org/10.1093/nar/gkr321 Text en © The Author(s) 2011. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Curk, Tomaz
Rot, Gregor
Zupan, Blaz
SNPsyn: detection and exploration of SNP–SNP interactions
title SNPsyn: detection and exploration of SNP–SNP interactions
title_full SNPsyn: detection and exploration of SNP–SNP interactions
title_fullStr SNPsyn: detection and exploration of SNP–SNP interactions
title_full_unstemmed SNPsyn: detection and exploration of SNP–SNP interactions
title_short SNPsyn: detection and exploration of SNP–SNP interactions
title_sort snpsyn: detection and exploration of snp–snp interactions
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3125755/
https://www.ncbi.nlm.nih.gov/pubmed/21576219
http://dx.doi.org/10.1093/nar/gkr321
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