TopoGSA: network topological gene set analysis

Summary: TopoGSA (Topology-based Gene Set Analysis) is a web-application dedicated to the computation and visualization of network topological properties for gene and protein sets in molecular interaction networks. Different topological characteristics, such as the centrality of nodes in the network...

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Detalles Bibliográficos
Autores principales: Glaab, Enrico, Baudot, Anaïs, Krasnogor, Natalio, Valencia, Alfonso
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2010
Materias:
Applications Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2859135/
https://www.ncbi.nlm.nih.gov/pubmed/20335277
http://dx.doi.org/10.1093/bioinformatics/btq131
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author Glaab, Enrico
Baudot, Anaïs
Krasnogor, Natalio
Valencia, Alfonso
author_facet Glaab, Enrico
Baudot, Anaïs
Krasnogor, Natalio
Valencia, Alfonso
author_sort Glaab, Enrico
collection PubMed
description Summary: TopoGSA (Topology-based Gene Set Analysis) is a web-application dedicated to the computation and visualization of network topological properties for gene and protein sets in molecular interaction networks. Different topological characteristics, such as the centrality of nodes in the network or their tendency to form clusters, can be computed and compared with those of known cellular pathways and processes. Availability: Freely available at http://www.infobiotics.net/topogsa Contact: nxk@cs.nott.ac.uk; avalencia@cnio.es
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spelling pubmed-28591352010-04-26 TopoGSA: network topological gene set analysis Glaab, Enrico Baudot, Anaïs Krasnogor, Natalio Valencia, Alfonso Bioinformatics Applications Note Summary: TopoGSA (Topology-based Gene Set Analysis) is a web-application dedicated to the computation and visualization of network topological properties for gene and protein sets in molecular interaction networks. Different topological characteristics, such as the centrality of nodes in the network or their tendency to form clusters, can be computed and compared with those of known cellular pathways and processes. Availability: Freely available at http://www.infobiotics.net/topogsa Contact: nxk@cs.nott.ac.uk; avalencia@cnio.es Oxford University Press 2010-05-01 2010-03-24 /pmc/articles/PMC2859135/ /pubmed/20335277 http://dx.doi.org/10.1093/bioinformatics/btq131 Text en © The Author(s) 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
Glaab, Enrico
Baudot, Anaïs
Krasnogor, Natalio
Valencia, Alfonso
TopoGSA: network topological gene set analysis
title TopoGSA: network topological gene set analysis
title_full TopoGSA: network topological gene set analysis
title_fullStr TopoGSA: network topological gene set analysis
title_full_unstemmed TopoGSA: network topological gene set analysis
title_short TopoGSA: network topological gene set analysis
title_sort topogsa: network topological gene set analysis
topic Applications Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2859135/
https://www.ncbi.nlm.nih.gov/pubmed/20335277
http://dx.doi.org/10.1093/bioinformatics/btq131
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AT baudotanais topogsanetworktopologicalgenesetanalysis
AT krasnogornatalio topogsanetworktopologicalgenesetanalysis
AT valenciaalfonso topogsanetworktopologicalgenesetanalysis

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