Clinical Measurement Ontology
Developed in United States
Created in 2012
Scope and data types
How to cite this record FAIRsharing.org: CMO; Clinical Measurement Ontology; DOI: https://doi.org/10.25504/FAIRsharing.dq78pn; Last edited: Feb. 22, 2018, 1:57 p.m.; Last accessed: Aug 20 2018 9:05 p.m.
Record updated: Jan. 16, 2017, 4:14 p.m. by The FAIRsharing Team.
Edits to 'https://fairsharing.org/FAIRsharing.dq78pn' by 'The FAIRsharing Team' at 12:53, 04 Nov 2016 (approved): 'description' has been modified: Before: The Clinical Measurement Ontology is designed to be used to standardize morphological and physiological measurement records generated from clinical and model organism research and health programs After: The Clinical Measurement Ontology is designed to be used to standardize morphological and physiological measurement records generated from clinical and model organism research and health programs. Publication List has changed: Previous values: Three ontologies to define phenotype measurement data. New values: Three ontologies to define phenotype measurement data. The clinical measurement|measurement method and experimental condition ontologies: expansion|improvements and new applications. Organisations have changed: Previous values: Rat Genome Database US National Institutes of Health (NIH) New values: Rat Genome Database US National Institutes of Health (NIH) Medical College of Wisconsin|Wisconsin|USA
No XSD schemas defined
Conditions of Use
|RGD Ontology Search||http://rgd.mcw.edu/rgdweb/ontology/search.html|
Three ontologies to define phenotype measurement data.
Shimoyama M,Nigam R,McIntosh LS,Nagarajan R,Rice T,Rao DC,Dwinell MR
Front Genet 2012
The clinical measurement, measurement method and experimental condition ontologies: expansion, improvements and new applications.
Smith JR,Park CA,Nigam R,Laulederkind SJ,Hayman GT,Wang SJ,Lowry TF,Petri V,Pons JD,Tutaj M,Liu W,Worthey EA,Shimoyama M,Dwinell MR
J Biomed Semantics 2013
View in BioPortal.
No guidelines defined
Models and Formats
No syntax standards defined
No identifier schema standards defined
The Rat Genome Database is the premier site for genetic, genomic, phenotype, and disease data generated from rat research. It provides easy access to corresponding human and mouse data for cross-species comparison and its comprehensive data and innovative software tools make it a valuable resource for researchers worldwide.
Animal Quantitative Trait Loci (QTL) Database
The Animal Quantitative Trait Loci (QTL) Database (Animal QTLdb) strives to collect all publicly available trait mapping data, i.e. QTL (phenotype/expression, eQTL), candidate gene and association data (GWAS), and copy number variations (CNV) mapped to livestock animal genomes, in order to facilitate locating and comparing discoveries within and between species. New data and database tools are continually developed to align various trait mapping data to map-based genome features such as annotated genes.
Animal Trait Correlation Database
A genetic correlation is the proportion of shared variance between two traits that is due to genetic causes; a phenotypic correlation is the degree to which two traits co-vary among individuals in a population. In the genomics era, while gene expression, genetic association, and network analysis provide unprecedented means to decode the genetic basis of complex phenotypes, it is important to recognize the possible effects genetic progress in one trait can have on other traits. This database is designed to collect all published livestock genetic/phenotypic trait correlation data, aimed at facilitating genetic network analysis or systems biology studies
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.
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U.S. National Library of Medicine (Government body)
US National Institutes of Health (NIH) (Research institute)