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ReactionFlow: an interactive visualization tool for causality analysis in biological pathways.

Tuan Nhon Dang1, Paul Murray1, Jillian Aurisano1

  • 1Department of Computer Science M/C 152, University of Illinois at Chicago, 851 S. Morgan, Room 1120, Chicago 60607-7053, IL, USA.

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|September 12, 2015
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Summary
This summary is machine-generated.

ReactionFlow is a visual analytics tool that helps biologists understand complex cellular pathways. It aids in analyzing protein interactions and biochemical reactions for better biological pathway analysis.

Keywords:
Biological networksCausality analysisPathway visualizationTopological ordering

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Area of Science:

  • Systems Biology
  • Bioinformatics
  • Computational Biology

Background:

  • Biological pathways involve complex networks of biochemical interactions.
  • Understanding causality (upstream/downstream relationships) is crucial for pathway analysis.
  • Key tasks include visualizing perturbations, finding shortest paths, detecting feedback loops, and identifying common downstream elements.

Purpose of the Study:

  • Introduce ReactionFlow, a visual analytics application for pathway analysis.
  • Support causality analysis tasks within biological pathways.
  • Emphasize structural and causal relationships among pathway components.

Main Methods:

  • Developed ReactionFlow, a visual analytics application.
  • Implemented user interactions for filtering, clustering, and selecting pathway components.
  • Utilized animation to visualize the flow of activity through pathways.

Main Results:

  • ReactionFlow emphasizes structural and causal relationships in pathways.
  • User interactions facilitate key causality analysis tasks.
  • Animation effectively highlights activity flow.

Conclusions:

  • ReactionFlow was evaluated by domain experts in biomolecular pathways.
  • Feedback suggests ReactionFlow is useful for researchers analyzing complex biological pathways.
  • The ReactionFlow application is publicly available for use.