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CSO validator: improving manual curation workflow for biological pathways
Summary: Manual curation and validation of large-scale biological pathways are required to obtain high-quality pathway databases. In a typical curation process, model validation and model update based on appropriate feedback are repeated and requires considerable cooperation of scientists. We have d...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3157922/ https://www.ncbi.nlm.nih.gov/pubmed/21743062 http://dx.doi.org/10.1093/bioinformatics/btr395 |
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author | Jeong, Euna Nagasaki, Masao Ikeda, Emi Sekiya, Yayoi Saito, Ayumu Miyano, Satoru |
author_facet | Jeong, Euna Nagasaki, Masao Ikeda, Emi Sekiya, Yayoi Saito, Ayumu Miyano, Satoru |
author_sort | Jeong, Euna |
collection | PubMed |
description | Summary: Manual curation and validation of large-scale biological pathways are required to obtain high-quality pathway databases. In a typical curation process, model validation and model update based on appropriate feedback are repeated and requires considerable cooperation of scientists. We have developed a CSO (Cell System Ontology) validator to reduce the repetition and time during the curation process. This tool assists in quickly obtaining agreement among curators and domain experts and in providing a consistent and accurate pathway database. Availability: The tool is available on http://csovalidator.csml.org. Contact: masao@hgc.jp |
format | Online Article Text |
id | pubmed-3157922 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-31579222011-08-18 CSO validator: improving manual curation workflow for biological pathways Jeong, Euna Nagasaki, Masao Ikeda, Emi Sekiya, Yayoi Saito, Ayumu Miyano, Satoru Bioinformatics Applications Note Summary: Manual curation and validation of large-scale biological pathways are required to obtain high-quality pathway databases. In a typical curation process, model validation and model update based on appropriate feedback are repeated and requires considerable cooperation of scientists. We have developed a CSO (Cell System Ontology) validator to reduce the repetition and time during the curation process. This tool assists in quickly obtaining agreement among curators and domain experts and in providing a consistent and accurate pathway database. Availability: The tool is available on http://csovalidator.csml.org. Contact: masao@hgc.jp Oxford University Press 2011-09-01 2011-07-08 /pmc/articles/PMC3157922/ /pubmed/21743062 http://dx.doi.org/10.1093/bioinformatics/btr395 Text en © The Author(s) 2011. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Note Jeong, Euna Nagasaki, Masao Ikeda, Emi Sekiya, Yayoi Saito, Ayumu Miyano, Satoru CSO validator: improving manual curation workflow for biological pathways |
title | CSO validator: improving manual curation workflow for biological pathways |
title_full | CSO validator: improving manual curation workflow for biological pathways |
title_fullStr | CSO validator: improving manual curation workflow for biological pathways |
title_full_unstemmed | CSO validator: improving manual curation workflow for biological pathways |
title_short | CSO validator: improving manual curation workflow for biological pathways |
title_sort | cso validator: improving manual curation workflow for biological pathways |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3157922/ https://www.ncbi.nlm.nih.gov/pubmed/21743062 http://dx.doi.org/10.1093/bioinformatics/btr395 |
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