FUGA statistics

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Citations per year

Number of citations per year for the bioinformatics software tool FUGA
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Tool usage distribution map

This map represents all the scientific publications referring to FUGA per scientific context
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FUGA specifications

Information


Unique identifier OMICS_12241
Name FUGA
Alternative name Functional Genomics Assistant
Software type Framework/Library
Interface Command line interface
Restrictions to use Academic or non-commercial use
Operating system Unix/Linux, Mac OS, Windows
Programming languages C++, MATLAB
License GNU General Public License version 3.0
Computer skills Advanced
Stability Stable
Maintained Yes

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Maintainer


  • person_outline Igt Drozdov

Publication for Functional Genomics Assistant

FUGA citations

 (2)
library_books

Integrated systems analysis reveals a molecular network underlying autism spectrum disorders

2014
Mol Syst Biol
PMCID: 4300495
PMID: 25549968
DOI: 10.15252/msb.20145487

[…] their performance was not satisfactory, where the resulting network modularity scores Q were significantly lower than that of the algorithm used in this study. These network operations were based on FUGA (Drozdov et al, ). Network visualization was implemented by CytoScape v2.8.3 (http://www.cytoscape.org). The layered structure of the protein interaction network was decomposed with the k-core al […]

library_books

Functional and Topological Properties in Hepatocellular Carcinoma Transcriptome

2012
PLoS One
PMCID: 3335123
PMID: 22539975
DOI: 10.1371/journal.pone.0035510

[…] largest shortest path between any pair of nodes in the network. Modularity is the strength of community structure in graphs . Network analyses were carried out using the Functional Genomic Assistant (FUGA) toolbox . Statistical significance of differential topology was assessed using the Wilcoxon rank sum test. P-values<0.05 were considered significant. […]


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FUGA 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
FUGA 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.

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