R spider: a network-based analysis of gene lists by combining signaling and metabolic pathways from Reactome and KEGG databases

R spider is a web-based tool for the analysis of a gene list using the systematic knowledge of core pathways and reactions in human biology accumulated in the Reactome and KEGG databases. R spider implements a network-based statistical framework, which provides a global understanding of gene relatio...

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Detalles Bibliográficos
Autores principales: Antonov, Alexey V., Schmidt, Esther E., Dietmann, Sabine, Krestyaninova, Maria, Hermjakob, Henning
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2010
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2896180/
https://www.ncbi.nlm.nih.gov/pubmed/20519200
http://dx.doi.org/10.1093/nar/gkq482
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author Antonov, Alexey V.
Schmidt, Esther E.
Dietmann, Sabine
Krestyaninova, Maria
Hermjakob, Henning
author_facet Antonov, Alexey V.
Schmidt, Esther E.
Dietmann, Sabine
Krestyaninova, Maria
Hermjakob, Henning
author_sort Antonov, Alexey V.
collection PubMed
description R spider is a web-based tool for the analysis of a gene list using the systematic knowledge of core pathways and reactions in human biology accumulated in the Reactome and KEGG databases. R spider implements a network-based statistical framework, which provides a global understanding of gene relations in the supplied gene list, and fully exploits the Reactome and KEGG knowledge bases. R spider provides a user-friendly dialog-driven web interface for several model organisms and supports most available gene identifiers. R spider is freely available at http://mips.helmholtz-muenchen.de/proj/rspider.
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spelling pubmed-28961802010-07-02 R spider: a network-based analysis of gene lists by combining signaling and metabolic pathways from Reactome and KEGG databases Antonov, Alexey V. Schmidt, Esther E. Dietmann, Sabine Krestyaninova, Maria Hermjakob, Henning Nucleic Acids Res Articles R spider is a web-based tool for the analysis of a gene list using the systematic knowledge of core pathways and reactions in human biology accumulated in the Reactome and KEGG databases. R spider implements a network-based statistical framework, which provides a global understanding of gene relations in the supplied gene list, and fully exploits the Reactome and KEGG knowledge bases. R spider provides a user-friendly dialog-driven web interface for several model organisms and supports most available gene identifiers. R spider is freely available at http://mips.helmholtz-muenchen.de/proj/rspider. Oxford University Press 2010-07-01 2010-06-02 /pmc/articles/PMC2896180/ /pubmed/20519200 http://dx.doi.org/10.1093/nar/gkq482 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 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 Articles
Antonov, Alexey V.
Schmidt, Esther E.
Dietmann, Sabine
Krestyaninova, Maria
Hermjakob, Henning
R spider: a network-based analysis of gene lists by combining signaling and metabolic pathways from Reactome and KEGG databases
title R spider: a network-based analysis of gene lists by combining signaling and metabolic pathways from Reactome and KEGG databases
title_full R spider: a network-based analysis of gene lists by combining signaling and metabolic pathways from Reactome and KEGG databases
title_fullStr R spider: a network-based analysis of gene lists by combining signaling and metabolic pathways from Reactome and KEGG databases
title_full_unstemmed R spider: a network-based analysis of gene lists by combining signaling and metabolic pathways from Reactome and KEGG databases
title_short R spider: a network-based analysis of gene lists by combining signaling and metabolic pathways from Reactome and KEGG databases
title_sort r spider: a network-based analysis of gene lists by combining signaling and metabolic pathways from reactome and kegg databases
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2896180/
https://www.ncbi.nlm.nih.gov/pubmed/20519200
http://dx.doi.org/10.1093/nar/gkq482
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