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REDESIGN: RDF-based Differential Signaling Framework for Precision Medicine Analytics.

Zainab Al-Taie1,2, Nattapon Thanintorn2, Ilker Ersoy2,1

  • 1MU Informatics Institute, University of Missouri, Columbia, MO.

AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science
|June 12, 2018
PubMed
Summary

REDESIGN is a new informatics framework for analyzing biological pathways. It uses flexible, ontology-enabled data to uncover complex gene interactions, advancing precision medicine analytics.

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Area of Science:

  • Bioinformatics
  • Systems Biology
  • Computational Biology

Background:

  • Pathway-based analysis is crucial for precision medicine.
  • Existing methods struggle with complex biological interdependencies due to rigid datasets.
  • Need for flexible analytical tools to capture dynamic biological processes.

Purpose of the Study:

  • Introduce REDESIGN, a novel RDF-based Differential Signaling Pathway informatics framework.
  • Enable analysis of flexible, ontology-enabled datasets for pathway analysis.
  • Uncover high-explanatory differential pathway mechanisms at the gene-to-gene level.

Main Methods:

  • Developed REDESIGN using a Resource Description Framework (RDF) data model.
  • Integrated curated signal transduction pathway maps with ontological support.
  • Applied the framework to analyze morphoproteomic data.

Main Results:

  • Demonstrated REDESIGN's ability to handle flexible, ontology-enabled pathway data.
  • Successfully uncovered differential pathway mechanisms at the gene-to-gene level.
  • Generated actionable hypotheses from experimental data.

Conclusions:

  • REDESIGN offers a flexible approach to pathway analysis, overcoming limitations of fixed datasets.
  • The framework facilitates deeper understanding of gene-to-gene interactions in biological pathways.
  • REDESIGN shows promise for generating novel insights in precision and personalized medicine.