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Updated: May 15, 2026

05:01
A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
Published on: July 1, 2020
CluePedia Cytoscape plugin: pathway insights using integrated experimental and in silico data
Gabriela Bindea1, Jérôme Galon, Bernhard Mlecnik
1INSERM, Laboratory of Integrative Cancer Immunology, 75006 Paris, France.
Bioinformatics (Oxford, England)
|January 18, 2013
Summary
CluePedia is a Cytoscap e plugin that aids in discovering novel biomarkers associated with biological pathways. It analyzes experimental data to reveal new gene, protein, and miRNA connections for hypothesis generation.
Area of Science:
- Bioinformatics
- Systems Biology
- Computational Biology
Background:
- CluePedia is a Cytoscape plugin for pathway analysis.
- It is available via the Cytoscape plugin manager and its website.
Purpose of the Study:
- To introduce CluePedia as a tool for identifying novel pathway-associated markers.
- To enable the investigation of interrelations within biological pathways.
Main Methods:
- CluePedia calculates linear and non-linear statistical dependencies from experimental data.
- It integrates gene, protein, and miRNA information into ClueGO networks.
- Pathway visualization is enhanced using the Cerebral plugin layout.
Main Results:
- The tool facilitates the discovery of new potential associations through gene, protein, and miRNA enrichment.
- It supports the investigation of interrelations within pathways.
- CluePedia provides a user-friendly interface with intuitive visualization.
Conclusions:
- CluePedia is a valuable search tool for discovering new markers associated with biological pathways.
- Its features are essential for data interpretation and hypothesis generation in systems biology.
- The plugin offers an expressive and intuitive visualization for complex biological networks.
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