WikiProteins: Community Annotation for Biomedical Concepts
Author Information
Author(s): Mons Barend, Ashburner Michael, Chichester Christine, van Mulligen Erik, Weeber Marc, den Dunnen Johan, van Ommen Gert-Jan, Musen Mark, Cockerill Matthew, Hermjakob Henning, Mons Albert, Packer Abel, Pacheco Roberto, Lewis Suzanna, Berkeley Alfred, Melton William, Barris Nickolas, Wales Jimmy, Meijssen Gerard, Moeller Erik, Roes Peter Jan, Borner Katy, Bairoch Amos
Hypothesis
A combination of text mining and community annotation can enhance the curation of biomedical literature.
Conclusion
WikiProteins allows for collaborative knowledge discovery by enabling community annotation of biomedical concepts.
Supporting Evidence
- WikiProteins integrates data from various authoritative biomedical databases.
- The system allows users to edit and annotate concepts collaboratively.
- Community contributions can enhance the accuracy of biomedical information.
Takeaway
WikiProteins is like a big online book where many people can help write and correct information about biology, making it easier to find facts about genes and proteins.
Methodology
The study describes the development of WikiProteins, a web-based system for community annotation and knowledge discovery, integrating text mining and user contributions.
Potential Biases
Potential biases may arise from the varying expertise of contributors and the reliance on community edits.
Limitations
The system relies on community participation, which may vary in quality and consistency.
Digital Object Identifier (DOI)
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