Correlation Engine 2.0
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WikiProteins enables community annotation in a Wiki-based system. Extracts of major data sources have been fused into an editable environment that links out to the original sources. Data from community edits create automatic copies of the original data. Semantic technology captures concepts co-occurring in one sentence and thus potential factual statements. In addition, indirect associations between concepts have been calculated. We call on a 'million minds' to annotate a 'million concepts' and to collect facts from the literature with the reward of collaborative knowledge discovery. The system is available for beta testing at


Barend Mons, Michael Ashburner, Christine Chichester, Erik van Mulligen, Marc Weeber, Johan den Dunnen, Gert-Jan van Ommen, Mark Musen, Matthew Cockerill, Henning Hermjakob, Albert Mons, Abel Packer, Roberto Pacheco, Suzanna Lewis, Alfred Berkeley, William Melton, Nickolas Barris, Jimmy Wales, Gerard Meijssen, Erik Moeller, Peter Jan Roes, Katy Borner, Amos Bairoch. Calling on a million minds for community annotation in WikiProteins. Genome biology. 2008;9(5):R89

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PMID: 18507872

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