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.