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Functional Genomics Assistant FUGA

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A MATLAB toolbox for inference and analysis of biological and cellular networks, biological relationships, graph topology analysis, random network simulation, network clustering, and functional enrichment statistics. In contrast to conventional differential expression analysis of individual genes, FUGA offers a framework for the study of system-wide properties of biological networks and highlights putative molecular targets using concepts of systems biology.

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FUGA classification

FUGA specifications

Software type:
Framework/Library
Restrictions to use:
Academic or non-commercial use
Programming languages:
C++, MATLAB
Computer skills:
Advanced
Maintained:
Yes
Interface:
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
License:
GNU General Public License version 3.0
Stability:
Stable

FUGA distribution

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FUGA support

Documentation

Maintainer

  • Igt Drozdov <>

Credits

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Publications

Institution(s)

Cardiovascular Division - King’s College London BHF Centre of Research Excellence - School of Medicine - James Black Centre, London, UK; Centre for Bioinformatics - Department of Informatics - School of Natural & Mathematical Sciences, King’s College London, London, UK; Computational Genomics Unit, Institute of Agrobiotechnology - Centre for Research & Technology Hellas - Thessaloniki – Greece; Donnelly Centre for Cellular & Biomolecular Research, University of Toronto, Toronto, ON, Canada

Funding source(s)

This project was supported by British Heart Foundation grant RE/08/003 and the Leducq Foundation. Early stages of this work have been supported in part by the Network of Excellence ENFIN (contract number LSHG-CT-2005-518254) funded by the European Commission.

Link to literature

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