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SBEToolbox: A Matlab Toolbox for Biological Network Analysis

We present SBEToolbox (Systems Biology and Evolution Toolbox), an open-source Matlab toolbox for biological network analysis. It takes a network file as input, calculates a variety of centralities and topological metrics, clusters nodes into modules, and displays the network using different graph la...

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Detalles Bibliográficos
Autores principales: Konganti, Kranti, Wang, Gang, Yang, Ence, Cai, James J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Libertas Academica 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3767578/
https://www.ncbi.nlm.nih.gov/pubmed/24027418
http://dx.doi.org/10.4137/EBO.S12012
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author Konganti, Kranti
Wang, Gang
Yang, Ence
Cai, James J.
author_facet Konganti, Kranti
Wang, Gang
Yang, Ence
Cai, James J.
author_sort Konganti, Kranti
collection PubMed
description We present SBEToolbox (Systems Biology and Evolution Toolbox), an open-source Matlab toolbox for biological network analysis. It takes a network file as input, calculates a variety of centralities and topological metrics, clusters nodes into modules, and displays the network using different graph layout algorithms. Straightforward implementation and the inclusion of high-level functions allow the functionality to be easily extended or tailored through developing custom plugins. SBEGUI, a menu-driven graphical user interface (GUI) of SBEToolbox, enables easy access to various network and graph algorithms for programmers and non-programmers alike. All source code and sample data are freely available at https://github.com/biocoder/SBEToolbox/releases.
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spelling pubmed-37675782013-09-11 SBEToolbox: A Matlab Toolbox for Biological Network Analysis Konganti, Kranti Wang, Gang Yang, Ence Cai, James J. Evol Bioinform Online Original Research We present SBEToolbox (Systems Biology and Evolution Toolbox), an open-source Matlab toolbox for biological network analysis. It takes a network file as input, calculates a variety of centralities and topological metrics, clusters nodes into modules, and displays the network using different graph layout algorithms. Straightforward implementation and the inclusion of high-level functions allow the functionality to be easily extended or tailored through developing custom plugins. SBEGUI, a menu-driven graphical user interface (GUI) of SBEToolbox, enables easy access to various network and graph algorithms for programmers and non-programmers alike. All source code and sample data are freely available at https://github.com/biocoder/SBEToolbox/releases. Libertas Academica 2013-09-01 /pmc/articles/PMC3767578/ /pubmed/24027418 http://dx.doi.org/10.4137/EBO.S12012 Text en © 2013 the author(s), publisher and licensee Libertas Academica Ltd. This is an open access article published under the Creative Commons CC-BY-NC 3.0 license.
spellingShingle Original Research
Konganti, Kranti
Wang, Gang
Yang, Ence
Cai, James J.
SBEToolbox: A Matlab Toolbox for Biological Network Analysis
title SBEToolbox: A Matlab Toolbox for Biological Network Analysis
title_full SBEToolbox: A Matlab Toolbox for Biological Network Analysis
title_fullStr SBEToolbox: A Matlab Toolbox for Biological Network Analysis
title_full_unstemmed SBEToolbox: A Matlab Toolbox for Biological Network Analysis
title_short SBEToolbox: A Matlab Toolbox for Biological Network Analysis
title_sort sbetoolbox: a matlab toolbox for biological network analysis
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3767578/
https://www.ncbi.nlm.nih.gov/pubmed/24027418
http://dx.doi.org/10.4137/EBO.S12012
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