LinkHub: A System for Integrating Biological Data
Author Information
Author(s): Andrew K. Smith, Kei-Hoi Cheung, Kevin Y. Yip, Martin Schultz, Mark B. Gerstein
Primary Institution: Yale University
Hypothesis
Can a Semantic Web system facilitate cross-database queries and information retrieval in proteomics?
Conclusion
LinkHub simplifies and manages connections to major hubs like UniProt, enabling novel information retrieval through relational graph queries.
Supporting Evidence
- LinkHub allows exploration of biological identifier relationships through various interfaces.
- It connects local data hubs to major portals like UniProt.
- LinkHub facilitates cross-database queries that were previously labor-intensive.
Takeaway
LinkHub is a tool that helps scientists find and connect information about proteins from different databases, making it easier to explore biological data.
Methodology
LinkHub was built using Semantic Web RDF and provides various interfaces for exploring biological identifier relationships.
Limitations
LinkHub currently has limited web document hyperlinks attached to its nodes.
Digital Object Identifier (DOI)
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