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Anwesha Bohler1, Guanming Wu2, Martina Kutmon1,3

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Summary
This summary is machine-generated.

This study introduces a format converter enabling the integration of Reactome and WikiPathways biological pathway databases. This collaboration enhances pathway analysis and data visualization for researchers, improving biological process coverage.

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Area of Science:

  • Bioinformatics
  • Systems Biology
  • Computational Biology

Background:

  • Reactome and WikiPathways are leading biological pathway databases with distinct curation models.
  • Integrating these resources offers synergistic benefits for pathway analysis and discovery.

Purpose of the Study:

  • To develop a format converter for Reactome pathways to WikiPathways' GPML format.
  • To enhance biological pathway data accessibility and analytical capabilities.

Main Methods:

  • Developed a format converter for Reactome to GPML.
  • Created the ComplexViz plugin for PathVisio for complex analysis and visualization.
  • Integrated converted Reactome pathways with WikiPathways data.

Main Results:

  • Achieved improved pathway coverage for biological process analysis, demonstrated with a polycystic ovary syndrome dataset.
  • Enabled visualization of user data on Reactome pathways within PathVisio.
  • Enhanced the utility of both Reactome and WikiPathways through mutual curation and data sharing.

Conclusions:

  • The developed conversion strategy provides a model for integrating diverse pathway resources.
  • Combined pathway datasets lead to significantly improved analytical results in tools like PathVisio.
  • This integration benefits the research community by expanding pathway analysis options in tools like PathVisio and Cytoscape.