FunCoup 6: advancing functional association networks across species with directed links and improved user experience
2025
FunCoup 6: Enhancing Functional Association Networks
publication
Evidence: high
Author Information
Author(s): Buzzao Davide, Persson Emma, Guala Dimitri, Sonnhammer Erik L L
Primary Institution: Stockholm University
Conclusion
FunCoup 6 significantly improves the coverage and accuracy of functional association networks across species.
Supporting Evidence
- FunCoup 6 includes a new tool for disease and drug target module identification using the TOPAS algorithm.
- The resource incorporates pathway enrichment analysis using the ANUBIX and EASE algorithms.
- FunCoup 6 features a redesigned website and updated API functionalities for improved user experience.
- Bin-free training was applied to 23 primary species, generating networks for an additional 618 species.
Takeaway
FunCoup 6 is a tool that helps scientists understand how proteins work together in living things by showing their connections and interactions.
Methodology
The study utilized a bin-free Bayesian training framework to enhance the inference of functional associations from high-throughput data.
Limitations
The complexity of comparing peaks from independent experiments may affect the accuracy of regulatory link predictions.
Digital Object Identifier (DOI)
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