Article (Scientific journals)
Medusa: A tool for exploring and clustering biological networks.
Pavlopoulos, Georgios A.; Hooper, S. D.; Sifrim, A. et al.
2011In BMC Research Notes, 4 (1), p. 384
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Keywords :
graph; visualization; biological networks; clustering analysis; data integration
Abstract :
[en] Background: Biological processes such as metabolic pathways, gene regulation or protein-protein interactions are often represented as graphs in systems biology. The understanding of such networks, their analysis, and their visualization are today important challenges in life sciences. While a great variety of visualization tools that try to address most of these challenges already exists, only few of them succeed to bridge the gap between visualization and network analysis. Findings: Medusa is a powerful tool for visualization and clustering analysis of large-scale biological networks. It is highly interactive and it supports weighted and unweighted multi-edged directed and undirected graphs. It combines a variety of layouts and clustering methods for comprehensive views and advanced data analysis. Its main purpose is to integrate visualization and analysis of heterogeneous data from different sources into a single network. Conclusions: Medusa provides a concise visual tool, which is helpful for network analysis and interpretation. Medusa is offered both as a standalone application and as an applet written in Java. It can be found at: https:// sites.google.com/site/medusa3visualization.
Research center :
- Luxembourg Centre for Systems Biomedicine (LCSB): Bioinformatics Core (R. Schneider Group)
Disciplines :
Biochemistry, biophysics & molecular biology
Identifiers :
UNILU:UL-ARTICLE-2011-426
Author, co-author :
Pavlopoulos, Georgios A.
Hooper, S. D.
Sifrim, A.
Schneider, Reinhard ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
Aerts, Jan
External co-authors :
yes
Language :
English
Title :
Medusa: A tool for exploring and clustering biological networks.
Publication date :
2011
Journal title :
BMC Research Notes
ISSN :
1756-0500
Publisher :
BioMed Central
Volume :
4
Issue :
1
Pages :
384
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBilu :
since 19 May 2014

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