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eXamine: exploring annotated modules in networks.

Kasper Dinkla, Mohammed El-Kebir, Cristina-Iulia Bucur

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eXamine visualizes biological network modules and their annotations, aiding interpretation of omics data. This tool provides novel biological insights, such as understanding viral G-protein coupled receptors.

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Area of Science:

  • Bioinformatics
  • Systems Biology
  • Computational Biology

Background:

  • High-throughput omics data interpretation relies on biological networks.
  • Integrative network analysis extracts and annotates subnetworks.
  • A gap exists in tools for exploring network structure and annotations simultaneously.

Purpose of the Study:

  • To present a visual analysis approach for annotated biological network modules.
  • To address the bottleneck in exploring network structure and annotations.

Main Methods:

  • Developed a visual analysis approach displaying annotations as contours on node-link diagrams.
  • Extended self-organizing maps for unified layout of nodes, links, and contours.
  • Implemented the approach as the Cytoscape app eXamine.

Main Results:

  • eXamine accurately visualizes small, annotated modules (dozens of proteins/annotations).
  • The tool facilitates interpretation of integrative network analysis results.
  • A guided case study demonstrated eXamine's utility.

Conclusions:

  • eXamine effectively conveys complex module information.
  • The tool aids in generating novel biological insights.
  • A new insight into the viral G-protein coupled receptor US28 was discovered.