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.
%0 Journal Article
%1 Konganti2013SBEToolbox
%A Konganti, Kranti
%A Wang, Gang
%A Yang, Ence
%A Cai, James J.
%D 2013
%J Evolutionary bioinformatics online
%K matlab software-tool systems-biology
%P 355--362
%R 10.4137/ebo.s12012
%T SBEToolbox: A Matlab Toolbox for Biological Network Analysis.
%U http://dx.doi.org/10.4137/ebo.s12012
%V 9
%X 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.
@article{Konganti2013SBEToolbox,
abstract = {
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.
},
added-at = {2018-12-02T16:09:07.000+0100},
author = {Konganti, Kranti and Wang, Gang and Yang, Ence and Cai, James J.},
biburl = {https://www.bibsonomy.org/bibtex/28b3a29d03f1af0d6f29ace791819b3a5/karthikraman},
citeulike-article-id = {12749101},
citeulike-linkout-0 = {http://dx.doi.org/10.4137/ebo.s12012},
citeulike-linkout-1 = {http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3767578/},
citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/24027418},
citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=24027418},
doi = {10.4137/ebo.s12012},
interhash = {49f200712be5fe3855c3634af85454a4},
intrahash = {8b3a29d03f1af0d6f29ace791819b3a5},
issn = {1176-9343},
journal = {Evolutionary bioinformatics online},
keywords = {matlab software-tool systems-biology},
pages = {355--362},
pmcid = {PMC3767578},
pmid = {24027418},
posted-at = {2013-11-04 04:40:38},
priority = {2},
timestamp = {2018-12-02T16:09:07.000+0100},
title = {{SBEToolbox}: A Matlab Toolbox for Biological Network Analysis.},
url = {http://dx.doi.org/10.4137/ebo.s12012},
volume = 9,
year = 2013
}