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Copycat Layout: Network layout alignment via Cytoscape Automation.

Brett Settle1, David Otasek1, John H Morris2

  • 1Department of Medicine, University of California, San Diego, California, 92093-0688, USA.

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Summary
This summary is machine-generated.

Copycat is a new tool for Cytoscape that visually compares biological networks. It improves upon previous methods by accurately mapping layouts, scales, and identifying node differences, aiding in gene analysis and publication image generation.

Keywords:
AlignmentCytoscapeInteroperabilityLayoutMicroserviceRESTReproducibilityWorkflow

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Network Analysis

Background:

  • Existing tools like layoutSaver for Cytoscape have limitations in accurately cloning network layouts, including view scale and location.
  • Manual identification of mapped nodes between networks is cumbersome and error-prone.

Purpose of the Study:

  • To introduce Copycat, an enhanced network-based visual differential analysis tool for Cytoscape.
  • To address the limitations of previous tools by improving layout cloning, scale mapping, and node identification.

Main Methods:

  • Copycat is integrated into Cytoscape (v3.6.0+) and leverages Cytoscape Automation via REST calls.
  • It maps node locations based on attribute values and clones view scale and location accurately.
  • Identifies successfully mapped nodes and differences between networks.

Main Results:

  • Copycat successfully clones network layouts, including scale and location, overcoming layoutSaver limitations.
  • It provides clear identification of mapped nodes and facilitates the discovery of nodes present in one network but not another.
  • Enables visual comparison of homologous gene groups and generation of publication-ready network images.

Conclusions:

  • Copycat offers a significant improvement for visual network comparison within Cytoscape.
  • Its integration with Cytoscape Automation allows for scripting and incorporation into complex bioinformatics workflows.
  • Facilitates rapid identification of network differences for biological discovery and publication.