Description
Biological, social, and other network data can be integrated, analyzed, and visualized in an interactive workspace. This is useful for researchers who need to explore relationships, pathways, clusters, and annotations visually.
It is a scientific analysis application and can become resource-intensive with large networks. Results depend on the quality of imported data, plugins, and chosen analysis methods.