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iCTNet2: integrating heterogeneous biological interactions to understand complex traits.

Lili Wang1, Daniel S Himmelstein2, Adam Santaniello3

  • 1School of Computing, Queen's University, Kingston, Ontario, K7L 3N6, Canada.

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|February 5, 2016
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Summary

Integrated Complex Traits Networks (iCTNet2) is a Cytoscape app for building and visualizing complex biological networks. It integrates diverse datasets, offering a systems-level view of human complex traits for researchers.

Keywords:
big data integrationdisease ontologydrug re-purposingheterogeneous network

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Area of Science:

  • Bioinformatics
  • Systems Biology
  • Genomics

Background:

  • Understanding human complex traits requires integrating diverse biological interaction data.
  • Existing tools may lack comprehensive integration and visualization capabilities for heterogeneous biological networks.

Purpose of the Study:

  • To introduce iCTNet version 2, a Cytoscape app and database.
  • To facilitate the construction, visualization, and analysis of heterogeneous biological networks for human complex traits.

Main Methods:

  • Developed iCTNet2 as a Cytoscape application and database.
  • Integrated large-scale biological datasets from public repositories.
  • Utilized the Cytoscape platform for network building and analysis.

Main Results:

  • iCTNet2 enables the creation of comprehensive, heterogeneous biological networks.
  • Provides a systems-level perspective on human complex traits.
  • The app is readily available through the Cytoscape app store.

Conclusions:

  • iCTNet2 enhances researchers' ability to explore complex trait biology.
  • Offers a valuable, integrated platform for systems-level biological network analysis.
  • Promotes accessibility of complex biological network tools for the research community.