Clinical Measurement Ontology
Abbreviation: CMO
Homepage http://rgd.mcw.edu/rgdweb/ontology/view.html?acc_id=CMO:0000000
Developed in United States
Created in 2012
Taxonomic range
Knowledge Domains BETA
Subjects BETA
How to cite this record FAIRsharing.org: CMO; Clinical Measurement Ontology; DOI: https://doi.org/10.25504/FAIRsharing.dq78pn; Last edited: March 14, 2019, 2:24 p.m.; Last accessed: Mar 20 2019 5:36 p.m.
Record updated: March 14, 2019, 2:23 p.m. by The FAIRsharing Team.
| contact form | RGD Contact Form |
| online documentation | Sourceforge Project |
Additional Information
| Contact | Mary Shimoyama |
External Links
| Bioportal | http://bioportal.bioontology.org/ontologies/CMO |
| OBO | http://obofoundry.org/ontology/cmo.html |
No XSD schemas defined
Conditions of Use
Applies to: Data useData Release
| Download (OWL) | http://purl.obolibrary.org/obo/cmo.owl |
Data Access
| 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.
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 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
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.
BovineMine
BovineMine integrates the bovine reference genome assembly with many other biological data sets, including genomes of other species. The sheep and goat genomes allow comparison across ruminants. Model organism data (human, mouse, rat) allow well-curated data sets to be applied to ruminants using orthology.
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Funds
U.S. National Library of Medicine (Government body)
National Institutes of Health (NIH), Bethesda, MD, USA (Government body)
Maintains
Medical College of Wisconsin (MCW), Wisconsin, USA (University) Lead
Grant Number(s)
R01HL064541 (U.S. National Library of Medicine)
R01HL094271 (U.S. National Library of Medicine)
R01HL094286 (U.S. National Library of Medicine)
