Canto: an online tool for community literature curation | Zendy

Kim Rutherford | Zendy; Midori A. Harris | Zendy; Antonia Lock | Zendy; Stephen G. Oliver | Zendy; Valerie Wood | Zendy

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Canto: an online tool for community literature curation

Author(s) -

Kim Rutherford,

Midori A. Harris,

Antonia Lock,

Stephen G. Oliver,

Valerie Wood

Publication year - 2014

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btu103

Subject(s) - data curation , documentation , world wide web , computer science , interface (matter) , online database , organism , license , canto , database , biology , art , paleontology , bubble , maximum bubble pressure method , parallel computing , literature , programming language , operating system

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.

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