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An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
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Mango: combining and analyzing heterogeneous biological networks.

Jennifer Chang1, Hyejin Cho1, Hui-Hsien Chou1,2

  • 1Department of Genetics, Development and Cell Biology, Iowa State University, Iowa, 50011 Ames USA.

Biodata Mining
|August 5, 2016
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Summary

Mango software enables scalable analysis of large biological networks, integrating diverse data types like gene expression and protein interactions. It offers advanced graph exploration and visualization for researchers without extensive programming knowledge.

Keywords:
3D visualizationBiological pathway analysisGraph mathematicsHeterogeneous data integrationSystems biology

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Network Science

Background:

  • Biological data (sequence matches, gene expression, protein interactions, pathways) can be analyzed using network graphs.
  • Current network analysis tools lack scalability for large datasets and require programming expertise.
  • Integrating and exploring diverse biological datasets necessitates standardized methods.

Purpose of the Study:

  • To develop a scalable software for analyzing large biological networks.
  • To provide an accessible tool for integrating and exploring heterogeneous biological data.
  • To enhance biological network analysis through advanced features.

Main Methods:

  • Development of Mango software utilizing C++.
  • Implementation of a Graph Exploration Language (GEL).
  • Integration of automatic graph attribute handling and 3D visualization.

Main Results:

  • Mango can load, merge, and analyze networks with millions of links on a personal computer.
  • The software facilitates real-time 3D visualization of complex networks.
  • Mango connects to online databases for fetching and merging biological pathways.

Conclusions:

  • Mango is a freely available, cross-platform (Mac OS, Windows, Linux) software for large-scale network analysis.
  • It offers an integrated development environment for its Graph Exploration Language.
  • Comprehensive documentation and user guides are available online.