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Bioinformatics. 2014 Jun 15;30(12):1791-2. doi: 10.1093/bioinformatics/btu103. Epub 2014 Feb 25.

Canto: an online tool for community literature curation.

Author information

1
Cambridge Systems Biology Centre, Department of Biochemistry, University of Cambridge, Sanger Building, 80 Tennis Court Road, Cambridge CB2 1GA and Department of Genetics, Evolution and Environment, and UCL Cancer Institute, University College London, Darwin Building, Gower Street, London WC1E 6BT, UKCambridge Systems Biology Centre, Department of Biochemistry, University of Cambridge, Sanger Building, 80 Tennis Court Road, Cambridge CB2 1GA and Department of Genetics, Evolution and Environment, and UCL Cancer Institute, University College London, Darwin Building, Gower Street, London WC1E 6BT, UK.
2
Cambridge Systems Biology Centre, Department of Biochemistry, University of Cambridge, Sanger Building, 80 Tennis Court Road, Cambridge CB2 1GA and Department of Genetics, Evolution and Environment, and UCL Cancer Institute, University College London, Darwin Building, Gower Street, London WC1E 6BT, UK.

Abstract

MOTIVATION:

Detailed curation of published molecular data is essential for any model organism database. Community curation enables researchers to contribute data from their papers directly to databases, supplementing the activity of professional curators and improving coverage of a growing body of literature. We have developed Canto, a web-based tool that provides an intuitive curation interface for both curators and researchers, to support community curation in the fission yeast database, PomBase. Canto supports curation using OBO ontologies, and can be easily configured for use with any species.

AVAILABILITY:

Canto code and documentation are available under an Open Source license from http://curation.pombase.org/. Canto is a component of the Generic Model Organism Database (GMOD) project (http://www.gmod.org/).

PMID:
24574118
PMCID:
PMC4058955
DOI:
10.1093/bioinformatics/btu103
[Indexed for MEDLINE]
Free PMC Article
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