Medusa3
Medusa3 visualizes and analyzes complex biological networks to support interpretation of metabolic pathways, gene regulation systems, and protein–protein interactions.
Key Features:
- Graph Visualization: Supports multi-edge graphs with weighted and unweighted edges to represent multiple relationships between biological entities.
- Support for Diverse Network Types: Handles directed and undirected graphs and is compatible with network data from sources such as the STRING database.
- Layouts and Clustering Methods: Integrates multiple layout algorithms and clustering techniques for exploration and interpretation of large-scale networks.
- Integration of Heterogeneous Data: Combines heterogeneous data sources into unified network representations for integrated analysis.
Scientific Applications:
- Systems Biology: Supports analysis of system-level interactions and network structure within systems biology studies.
- Genomics: Facilitates exploration of gene regulatory networks and genomic interaction data.
- Proteomics: Assists interpretation of protein–protein interaction networks and proteomics datasets.
- Metabolic Engineering: Aids analysis and visualization of metabolic pathways relevant to metabolic engineering.
Methodology:
Implements graph visualization with multi-edge support, weighted and unweighted edges, directed and undirected graphs, multiple layout algorithms, clustering techniques, and integration of heterogeneous data sources.
Topics
Details
- Maturity:
- Mature
- Tool Type:
- desktop application
- Programming Languages:
- Java
- Added:
- 3/30/2020
- Last Updated:
- 11/25/2024
Operations
Publications
Hooper SD, Bork P. Medusa: a simple tool for interaction graph analysis. Bioinformatics. 2005;21(24):4432-4433. doi:10.1093/bioinformatics/bti696. PMID:16188923.
Pavlopoulos GA, Hooper SD, Sifrim A, Schneider R, Aerts J. Medusa: A tool for exploring and clustering biological networks. BMC Research Notes. 2011;4(1). doi:10.1186/1756-0500-4-384. PMID:21978489. PMCID:PMC3197509.