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JOURNAL

Evolutionary Bioinformatics

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SBEToolbox: A Matlab Toolbox for Biological Network Analysis

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Publication Date: 01 Sep 2013

Type: Software or database review

Journal: Evolutionary Bioinformatics

Citation: Evolutionary Bioinformatics 2013:9 355-362

doi: 10.4137/EBO.S12012

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.


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External Resources

SBEToolbox source code and sample data


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What Your Colleagues Say About Evolutionary Bioinformatics
My co-authors and I had a very positive experience with the review and publication process in Evolutionary Bioinformatics.  The reviewers were rapid and on point, and publication was also rapid after we made the necessary revisions.
Professor Steven Salzberg (Director, Center for Computational Biology, Johns Hopkins University School of Medicine, Baltimore, MD, USA)
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