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A Web Tool for Generating High Quality Machine-readable Biological Pathways
08:01

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Published on: February 8, 2017

PathGen: a transitive gene pathway generator.

Kendell Clement1, Nathaniel Gustafson, Amanda Berbert

  • 1Computer Science Department, Brigham Young University, Provo, Utah, USA.

Bioinformatics (Oxford, England)
|December 8, 2009
PubMed
Summary
This summary is machine-generated.

PathGen integrates gene interaction data from multiple databases to visualize complex gene pathways. This tool aids in discovering and validating novel gene interaction pathways for biological research and drug discovery.

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Area of Science:

  • Bioinformatics
  • Systems Biology
  • Genomics

Background:

  • Online gene interaction networks offer valuable visual data for biological processes, disease research, and drug discovery.
  • Existing databases provide rich information but often lack integrated, transitive connections across multiple sources.

Purpose of the Study:

  • To develop PathGen, a tool that integrates data from diverse gene interaction databases.
  • To create a platform for visualizing gene interaction networks with comprehensive data, including interaction type, strength, source, and expression data.
  • To facilitate the in silico discovery and experimental validation of novel gene interaction pathways.

Main Methods:

  • PathGen incorporates data from multiple gene interaction databases.
  • It establishes transitive connections spanning across these databases.
  • Results are presented in a graphical format detailing interaction type, strength, database source, and microarray expression data.

Main Results:

  • PathGen successfully integrates data from various sources to build comprehensive gene interaction networks.
  • The tool displays gene interaction data, including type, strength, and source, in a user-friendly graphical format.
  • Validation using genes associated with Down syndrome demonstrated PathGen's utility in analyzing relevant biological pathways.

Conclusions:

  • PathGen serves as a valuable tool for the in silico discovery of novel gene interaction pathways.
  • The integrated visualization of gene pathways aids in biological process studies, disease research, and drug discovery.
  • Experimental verification of pathways identified by PathGen is feasible, enhancing its utility in scientific research.