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The FunCoup Cytoscape App: Multi-species network analysis and visualization
Stockholm University, Faculty of Science, Department of Biochemistry and Biophysics. Stockholm University, Science for Life Laboratory (SciLifeLab).ORCID iD: 0000-0002-7521-8368
Stockholm University, Faculty of Science, Department of Biochemistry and Biophysics.
Stockholm University, Faculty of Science, Department of Biochemistry and Biophysics. Stockholm University, Science for Life Laboratory (SciLifeLab).ORCID iD: 0000-0003-2245-7557
Stockholm University, Faculty of Science, Department of Biochemistry and Biophysics. Stockholm University, Science for Life Laboratory (SciLifeLab).ORCID iD: 0000-0002-9015-5588
Number of Authors: 42025 (English)In: Bioinformatics, ISSN 1367-4803, E-ISSN 1367-4811, Vol. 41, no 1, article id btae739Article in journal (Refereed) Published
Abstract [en]

Motivation: Functional association networks, such as FunCoup, are crucial for analyzing complex gene interactions. To facilitate the analysis and visualization of such genome-wide networks, there is a need for seamless integration with powerful network analysis tools like Cytoscape. Results: The FunCoup Cytoscape App integrates the FunCoup web service API with Cytoscape, allowing users to visualize and analyze gene interaction networks for 640 species. Users can input gene identifiers and customize search parameters, using various network expansion algorithms like group or independent gene search, MaxLink, and TOPAS. The app maintains consistent visualizations with the FunCoup website, providing detailed node and link information, including tissue and pathway gene annotations. The integration with Cytoscape plugins, such as ClusterMaker2, enhances the analytical capabilities of FunCoup, as exemplified by the identification of the Myasthenia gravis disease module along with potential new therapeutic targets.

Place, publisher, year, edition, pages
2025. Vol. 41, no 1, article id btae739
National Category
Bioinformatics and Computational Biology
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URN: urn:nbn:se:su:diva-240400DOI: 10.1093/bioinformatics/btae739ISI: 001388812400001PubMedID: 39700425Scopus ID: 2-s2.0-85214320388OAI: oai:DiVA.org:su-240400DiVA, id: diva2:1943235
Available from: 2025-03-10 Created: 2025-03-10 Last updated: 2025-03-10Bibliographically approved

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Buzzao, DavideGuala, DimitriSonnhammer, Erik L. L.

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