Open Access Highly Accessed Software

Calling on a million minds for community annotation in WikiProteins

Barend Mons1234*, Michael Ashburner5, Christine Chichester236, Erik van Mulligen13, Marc Weeber3, Johan den Dunnen2, Gert-Jan van Ommen2, Mark Musen7, Matthew Cockerill8, Henning Hermjakob9, Albert Mons3, Abel Packer10, Roberto Pacheco11, Suzanna Lewis5, Alfred Berkeley3, William Melton3, Nickolas Barris3, Jimmy Wales12, Gerard Meijssen4, Erik Moeller124, Peter Jan Roes3, Katy Borner13 and Amos Bairoch6

Author Affiliations

1 Erasmus Medical Centre, Department of Medical Informatics, Dr. Molewaterplein 40/50, NL-3015 GE Rotterdam, the Netherlands

2 Department of Human Genetics, Centre for Medical Systems Biology, Leiden University Medical Centre, 2300 RC Leiden NL, Einthovenweg 20, 2333 ZC Leiden, the Netherlands

3 Knewco Inc., Fallsgrove Drive, Rockville, MD 20850, USA

4 Open Progress Foundation, Olstgracht, 1315 BH AlmereAlmere, the Netherlands

5 The GO consortium, EMBL-European Bioinformatics Institute, Hinxton, Cambridge, and Department of Genetics, University of Cambridge, Hinxton, CB10 1SD, United Kingdom; and Berkeley Bioinformatics Open-source Projects, Lawrence Berkeley National Laboratory, Cyclotron Road, Berkeley, CA 94720, USA

6 Swiss Institute of Bioinformatics, Swiss-Prot Group and Department of Structural Biology and Bioinformatics, University of Geneva, CMU - Rue Michel-Servet, 1211 Genève 4, Switzerland

7 Stanford Medical Informatics, NCBO, Campus Drive, Stanford, CA 94305-5479, USA

8 BioMed Central, Cleveland Street, London W1T 4LB, UK

9 EMBL - European Bioinformatics Institute, IntAct database, Hinxton, Cambridge CB10 1SD, UK

10 SciELO, BIREME/PAHO/WHO, Rua Botucatu, 862, Vila Clementino 04023-901, São Paulo SP, Brazil

11 Istituto Stela, Rua Prof. Ayrton Roberto de Oliveira, 32, 7° andar Itacorubi, Florianópolis-SC, 88034-050, Brazil

12 The WikiMedia Foundation, San Francisco, CA 94107-8350, USA

13 Indiana University, S. Indiana Ave, Bloomington, IN 47405-7000, USA

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Genome Biology 2008, 9:R89  doi:10.1186/gb-2008-9-5-r89

Published: 28 May 2008

Abstract

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 http://www.wikiprofessional.org webcite.