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TriPOINT: a software tool to prioritize important genes in pathways and their non-coding regulators.

Asa Thibodeau1, Dong-Guk Shin1

  • 1Department of Computer Science & Engineering, University of Connecticut, Storrs, CT, USA.

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|December 20, 2018
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Introducing Triangulation of Perturbation Origins and Identification of Non-Coding Targets (TriPOINT), a novel pathway analysis software. TriPOINT integrates non-coding regulatory elements to enhance gene prioritization and understand disease mechanisms.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Systems Biology

Background:

  • Current pathway analysis methods primarily use gene expression data on pathway graphs.
  • Gene expression alone is insufficient, as non-coding factors significantly regulate gene expression.
  • A comprehensive approach is needed to integrate non-coding elements for accurate pathway analysis.

Purpose of the Study:

  • To introduce Triangulation of Perturbation Origins and Identification of Non-Coding Targets (TriPOINT), a new software tool.
  • To incorporate non-coding regulatory elements into pathway analysis.
  • To systematically prioritize genes within pathways by considering regulatory interactions.

Main Methods:

  • Developed TriPOINT, a Java-implemented pathway analysis tool.
  • Utilizes graph representations of biological pathways.
  • Analyzes upstream and downstream gene interactions.
  • Integrates non-coding regulatory regions to assess gene significance under specific conditions (e.g., disease phenotypes).

Main Results:

  • TriPOINT identifies the significance of genes within pathways by considering both coding and non-coding regulatory elements.
  • The software provides a systematic method for gene prioritization in pathway analysis.
  • Enables a more holistic understanding of gene regulation in biological contexts.

Conclusions:

  • TriPOINT offers an advanced approach to pathway analysis by integrating non-coding regulatory information.
  • This tool enhances the understanding of gene function and regulation in disease.
  • Facilitates more accurate gene prioritization for further research.