Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Jun 12;7(1):181.
doi: 10.1038/s41597-020-0523-6.

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

Affiliations

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

Yongqun He et al. Sci Data. .

Abstract

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

PubMed Disclaimer

Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
The design pattern of CIDO for logically representing and linking different components related to a coronavirus disease, e.g., COVID-19. The terms presented in the figure are generated in CIDO or imported by CIDO from other ontologies. To reduce complexity, the ontology sources of the terms are not labeled.

References

    1. Xu R. Chance missed, but still there! Memoirs at the 10(th) anniversary of 2003 SARS outbreak. J. Thorac. Dis. 2013;5(Suppl 2):S90–93. - PMC - PubMed
    1. Bernard-Stoecklin S, et al. Comparative Analysis of Eleven Healthcare-Associated Outbreaks of Middle East Respiratory Syndrome Coronavirus (Mers-Cov) from 2015 to 2017. Sci. Rep. 2019;9:7385. doi: 10.1038/s41598-019-43586-9. - DOI - PMC - PubMed
    1. Barrett T, et al. NCBI GEO: archive for functional genomics data sets–update. Nucleic Acids Res. 2013;41:D991–995. doi: 10.1093/nar/gks1193. - DOI - PMC - PubMed
    1. Higdon R, et al. Unraveling the Complexities of Life Sciences Data. Big Data. 2013;1:42–50. doi: 10.1089/big.2012.1505. - DOI - PubMed
    1. Ashburner M, et al. Gene ontology: tool for the unification of biology. The Gene Ontology Consortium. Nat. Genet. 2000;25:25–29. doi: 10.1038/75556. - DOI - PMC - PubMed

Publication types