Canto: an online tool for community literature curation

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 l...

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Detalles Bibliográficos
Autores principales: Rutherford, Kim M., Harris, Midori A., Lock, Antonia, Oliver, Stephen G., Wood, Valerie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4058955/
https://www.ncbi.nlm.nih.gov/pubmed/24574118
http://dx.doi.org/10.1093/bioinformatics/btu103
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author Rutherford, Kim M.
Harris, Midori A.
Lock, Antonia
Oliver, Stephen G.
Wood, Valerie
author_facet Rutherford, Kim M.
Harris, Midori A.
Lock, Antonia
Oliver, Stephen G.
Wood, Valerie
author_sort Rutherford, Kim M.
collection PubMed
description 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/). Contact: helpdesk@pombase.org
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spelling pubmed-40589552014-06-18 Canto: an online tool for community literature curation Rutherford, Kim M. Harris, Midori A. Lock, Antonia Oliver, Stephen G. Wood, Valerie Bioinformatics Applications Notes 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/). Contact: helpdesk@pombase.org Oxford University Press 2014-06-15 2014-02-25 /pmc/articles/PMC4058955/ /pubmed/24574118 http://dx.doi.org/10.1093/bioinformatics/btu103 Text en © The Author 2014. Published by Oxford University Press. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Notes
Rutherford, Kim M.
Harris, Midori A.
Lock, Antonia
Oliver, Stephen G.
Wood, Valerie
Canto: an online tool for community literature curation
title Canto: an online tool for community literature curation
title_full Canto: an online tool for community literature curation
title_fullStr Canto: an online tool for community literature curation
title_full_unstemmed Canto: an online tool for community literature curation
title_short Canto: an online tool for community literature curation
title_sort canto: an online tool for community literature curation
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4058955/
https://www.ncbi.nlm.nih.gov/pubmed/24574118
http://dx.doi.org/10.1093/bioinformatics/btu103
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