CIDO, a community-based ontology for coronavirus disease knowledge and data integration, sharing, and analysis

The Coronavirus Infectious Disease Ontology (CIDO) is a community-based ontology that supports coronavirus disease knowledge and data standardization, integration, sharing, and analysis.

Detalles Bibliográficos
Autores principales: He, Yongqun, Yu, Hong, Ong, Edison, Wang, Yang, Liu, Yingtong, Huffman, Anthony, Huang, Hsin-hui, Beverley, John, Hur, Junguk, Yang, Xiaolin, Chen, Luonan, Omenn, Gilbert S., Athey, Brian, Smith, Barry
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Comment
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7293349/
https://www.ncbi.nlm.nih.gov/pubmed/32533075
http://dx.doi.org/10.1038/s41597-020-0523-6
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author He, Yongqun
Yu, Hong
Ong, Edison
Wang, Yang
Liu, Yingtong
Huffman, Anthony
Huang, Hsin-hui
Beverley, John
Hur, Junguk
Yang, Xiaolin
Chen, Luonan
Omenn, Gilbert S.
Athey, Brian
Smith, Barry
author_facet He, Yongqun
Yu, Hong
Ong, Edison
Wang, Yang
Liu, Yingtong
Huffman, Anthony
Huang, Hsin-hui
Beverley, John
Hur, Junguk
Yang, Xiaolin
Chen, Luonan
Omenn, Gilbert S.
Athey, Brian
Smith, Barry
author_sort He, Yongqun
collection PubMed
description The Coronavirus Infectious Disease Ontology (CIDO) is a community-based ontology that supports coronavirus disease knowledge and data standardization, integration, sharing, and analysis.
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spelling pubmed-72933492020-06-19 CIDO, a community-based ontology for coronavirus disease knowledge and data integration, sharing, and analysis He, Yongqun Yu, Hong Ong, Edison Wang, Yang Liu, Yingtong Huffman, Anthony Huang, Hsin-hui Beverley, John Hur, Junguk Yang, Xiaolin Chen, Luonan Omenn, Gilbert S. Athey, Brian Smith, Barry Sci Data Comment The Coronavirus Infectious Disease Ontology (CIDO) is a community-based ontology that supports coronavirus disease knowledge and data standardization, integration, sharing, and analysis. Nature Publishing Group UK 2020-06-12 /pmc/articles/PMC7293349/ /pubmed/32533075 http://dx.doi.org/10.1038/s41597-020-0523-6 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Comment
He, Yongqun
Yu, Hong
Ong, Edison
Wang, Yang
Liu, Yingtong
Huffman, Anthony
Huang, Hsin-hui
Beverley, John
Hur, Junguk
Yang, Xiaolin
Chen, Luonan
Omenn, Gilbert S.
Athey, Brian
Smith, Barry
CIDO, a community-based ontology for coronavirus disease knowledge and data integration, sharing, and analysis
title CIDO, a community-based ontology for coronavirus disease knowledge and data integration, sharing, and analysis
title_full CIDO, a community-based ontology for coronavirus disease knowledge and data integration, sharing, and analysis
title_fullStr CIDO, a community-based ontology for coronavirus disease knowledge and data integration, sharing, and analysis
title_full_unstemmed CIDO, a community-based ontology for coronavirus disease knowledge and data integration, sharing, and analysis
title_short CIDO, a community-based ontology for coronavirus disease knowledge and data integration, sharing, and analysis
title_sort cido, a community-based ontology for coronavirus disease knowledge and data integration, sharing, and analysis
topic Comment
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7293349/
https://www.ncbi.nlm.nih.gov/pubmed/32533075
http://dx.doi.org/10.1038/s41597-020-0523-6
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