Reference : Medusa: A tool for exploring and clustering biological networks.
Scientific journals : Article
Life sciences : Biochemistry, biophysics & molecular biology
Medusa: A tool for exploring and clustering biological networks.
Pavlopoulos, Georgios A. [> >]
Hooper, S. D. [> >]
Sifrim, A. [> >]
Schneider, Reinhard mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Aerts, Jan [> >]
BMC Research Notes
BioMed Central
Yes (verified by ORBilu)
[en] graph ; visualization ; biological networks ; clustering analysis ; data integration
[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://
Luxembourg Centre for Systems Biomedicine (LCSB): Bioinformatics Core (R. Schneider Group)

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