Mango is a graph analysis and visualization software designed to handle many large graphs with tens of thousands of nodes and millions of links at once.  Mango got its name from its purpose of Manipulation and Analysis of Networks and Gene Ontolog. Mango combines the power and flexibility of a high level Graph Exploration Language (Gel) with the easy operation of a graphical user interface. The result is a general purpose graph analysis tool that can be used to analyze many heterogeneous biological data sets. Mango is not limited to handling only biological data — Any data association and linkage information can be loaded into Mango and analyzed.

Mango v 1.20 is now available for Mac, Windows and Linux, containing many new features such as connection to KEGG database and a script editor.

Shown in the figure, the new release can fetch biological pathways from KEGG. Mango’s built in graph exploration language enables the integration of microarray expression data into the loaded biological pathways. Green highlights pathways up regulated. Red highlights pathways down regulated.

Mango is cross-platform and free to download from: http://www.complex.iastate.edu/download/Mango

Tutorials are available from: https://www.gitbook.com/book/j23414/mango-user-guide/details