Coronavirus Infectious Disease Ontology
Abbreviation: CIDO
Homepage https://github.com/cido-ontology/cido
Countries that developed this resource China , United States
Created in 2020
Taxonomic range
Knowledge Domains
Subjects
User-defined Tags
How to cite this record FAIRsharing.org: CIDO; Coronavirus Infectious Disease Ontology; DOI: https://doi.org/10.25504/FAIRsharing.aVmpKl; Last edited: Oct. 5, 2020, 4:15 p.m.; Last accessed: Jan 23 2021 11:26 p.m.
Publication for citation CIDO, a community-based ontology for coronavirus disease knowledge and data integration, sharing, and analysis. He Y,Yu H,Ong E,Wang Y,Liu Y,Huffman A,Huang HH,Beverley J,Hur J,Yang X,Chen L,Omenn GS,Athey B,Smith B; Sci Data ; 2020; 10.1038/s41597-020-0523-6;
Record added: April 27, 2020, 12:58 p.m.
Record updated:
Oct. 5, 2020, 4:15 p.m. by The FAIRsharing Team.
forum | GitHub Issue Tracker |
Mailing List | Google Groups |
Additional Information
Contact | Yongqun Oliver He |
External Links
Bioportal | http://bioportal.bioontology.org/ontologies/CIDO |
OBO | http://obofoundry.org/ontology/cido.html |
No XSD schemas defined
Conditions of Use
Applies to: Data useData Release
Download (OWL) | https://raw.githubusercontent.com/CIDO-ontology/cido/master/src/ontolo ... |
Ontological and Bioinformatic Analysis of Anti-Coronavirus Drugs and Their Implication for Drug Repurposing against COVID-19 (Preprint)
Yingtong Liu , Wallace Chan , Zhigang Wang , Junguk Hur ORCID logo , Jiangan Xie , Hong Yu , Yongqun He
Preprints.org 2020
CIDO, a community-based ontology for coronavirus disease knowledge and data integration, sharing, and analysis.
He Y,Yu H,Ong E,Wang Y,Liu Y,Huffman A,Huang HH,Beverley J,Hur J,Yang X,Chen L,Omenn GS,Athey B,Smith B
Sci Data 2020
View in BioPortal.
View in OBO Foundry.
Reporting Guidelines
No guidelines defined
Terminology Artifacts
Models and Formats
No syntax standards defined
Identifier Schemas
No identifier schema standards defined
Metrics
No metrics standards defined
The DrugBank database is a freely available bioinformatics and chemoinformatics resource that combines detailed drug (i.e. chemical, pharmacological and pharmaceutical) data with comprehensive drug target (i.e. sequence, structure, and pathway) information.
PubMed Central
PubMed Central (PMC) is the U.S. National Institutes of Health (NIH) digital archive of biomedical and life sciences journal literature.
PubMed
PubMed is a search engine of biomedical literature, provided as a service of the U.S. National Library of Medicine and includes more than 25 million citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.
Biological General Repository for Interaction Datasets
BioGRID is an interaction repository with data compiled through comprehensive curation efforts. Our current index is version 3.5.174 and searches 69,922 publications for 1,706,694 protein and genetic interactions, 28,093 chemical associations and 726,378 post translational modifications from major model organism species. All data are freely provided via our search index and available for download in standardized formats.
Kyoto Encyclopedia of Genes and Genomes
KEGG is a database resource for understanding high-level functions and utilities of the biological system, such as the cell, the organism and the ecosystem, from molecular-level information, especially large-scale molecular datasets generated by genome sequencing and other high-throughput experimental technologies.
OBO Foundry
The Open Biological and Biomedical Ontology (OBO) Foundry is a collective of ontology developers that are committed to collaboration and adherence to shared principles. The mission of the OBO Foundry is to develop a family of interoperable ontologies that are both logically well-formed and scientifically accurate. To achieve this, OBO Foundry participants voluntarily adhere to and contribute to the development of an evolving set of principles including open use, collaborative development, non-overlapping and strictly-scoped content, and common syntax and relations, based on ontology models that work well, such as the Gene Ontology (GO). The OBO Foundry is overseen by an Operations Committee with Editorial, Technical and Outreach working groups.
Scroll for more...
This record is not implemented by any policy.
Record Maintainer
This record is maintained by yongqunh
Maintains
Guizhou Medical University, Guiyang, Guizhou, China (University) Lead
He Group, University of Michigan Medical School, Ann Arbor, USA (Lab) Lead