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PathwayConnector: finding complementary pathways to enhance functional analysis.

George Minadakis1, Margarita Zachariou1, Anastasis Oulas1

  • 1Bioinformatics Group, Bioinformatics ERA Chair, The Cyprus Institute of Neurology & Genetics, 6 International Airport Avenue, 2370 Nicosia, Cyprus, Nicosia, Cyprus.

Bioinformatics (Oxford, England)
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Summary
This summary is machine-generated.

PathwayConnector is a new web tool that builds connected pathway networks. It helps identify disease-related pathway groups by finding direct connections and adding necessary complementary pathways for better network analysis.

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Area of Science:

  • Bioinformatics
  • Systems Biology
  • Computational Biology

Background:

  • Biological pathways are crucial for understanding cellular functions and disease mechanisms.
  • Integrating information from various pathway databases like KEGG and Reactome is essential for comprehensive analysis.
  • Identifying relationships between pathways can reveal complex biological networks.

Purpose of the Study:

  • To introduce PathwayConnector, a web tool for constructing pathway-to-pathway networks.
  • To enable the identification of direct connections and complementary pathways for network completion.
  • To facilitate the grouping of pathways into sub-clusters for disease-related analysis.

Main Methods:

  • Utilizing reference pathway networks from KEGG or Reactome.
  • Implementing algorithms to find direct connections between user-defined pathways.
  • Incorporating complementary pathways to ensure network connectivity.
  • Applying clustering methods for sub-network identification.

Main Results:

  • PathwayConnector successfully constructs fully connected pathway networks.
  • The tool identifies essential complementary pathways to link disparate pathway groups.
  • It provides clustering functionalities for discovering pathway sub-clusters.
  • The generated networks aid in identifying disease-associated pathway connections.

Conclusions:

  • PathwayConnector offers a valuable resource for systems biology research.
  • The tool simplifies the identification of interconnected biological pathways.
  • It aids in uncovering novel disease-related pathway modules through network analysis.