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Updated: May 8, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

SBEToolbox: A Matlab Toolbox for Biological Network Analysis.

Kranti Konganti¹, Gang Wang, Ence Yang

¹Whole Systems Genomics Initiative, Texas A&M University, College Station, Texas 77843-4458, USA.

Evolutionary Bioinformatics Online

|September 13, 2013

Summary

This summary is machine-generated.

SBEToolbox is an open-source MATLAB toolbox for analyzing biological networks. It offers tools for calculating network metrics, clustering modules, and visualizing networks, accessible via a graphical user interface.

Keywords:

Matlab toolbox biological network network evolution node centrality

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Area of Science:

Systems Biology
Bioinformatics
Computational Biology

Background:

Biological network analysis is crucial for understanding complex biological systems.
Existing tools may lack comprehensive features or user-friendly interfaces for network analysis.

Purpose of the Study:

To introduce SBEToolbox, an open-source MATLAB toolbox for biological network analysis.
To provide a user-friendly platform with a graphical user interface (GUI) for network and graph algorithms.

Main Methods:

SBEToolbox accepts network files as input.
It calculates centralities, topological metrics, and clusters nodes into modules.
Network visualization is performed using various graph layout algorithms.

Main Results:

The toolbox offers straightforward implementation and extensible functionality through plugins.
SBEGUI, the graphical user interface, provides easy access to network and graph algorithms.
All source code and sample data are freely available.

Conclusions:

SBEToolbox facilitates biological network analysis for both programmers and non-programmers.
Its open-source nature and extensible design promote wider adoption and development in systems biology research.