standards > terminology artifact > DOI:10.25504/FAIRsharing.tb6w4b
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uncertain Cell Phenotype Ontology

Abbreviation: CPO


General Information
The CPO is an ontology of morphological and physiological phenotypic characteristics of cells, cell components and cellular processes. Its prime application is to provide terms and uniform definition patterns for the annotation of cellular phenotypes. The CPO can be used for the annotation of observed abnormalities in domains, such as systems microscopy, in which cellular abnormalities are observed and for which no phenotype ontology has been created.

Homepage https://code.google.com/archive/p/cell-phenotype/

Countries that developed this resource European Union , Germany , United Kingdom

Created in 2011

Taxonomic range




How to cite this record FAIRsharing.org: CPO; Cell Phenotype Ontology; DOI: https://doi.org/10.25504/FAIRsharing.tb6w4b; Last edited: Feb. 13, 2020, 2:49 p.m.; Last accessed: Jul 31 2021 12:32 p.m.


Record updated: Feb. 4, 2020, 10:57 a.m. by The FAIRsharing Team.

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In Collections
eTRIKS Standards Starter Pack


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No support information provided.

Additional Information

Contact Robert Hoehndorf   ORCID

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Schemas

No XSD schemas defined


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Conditions of Use

Applies to: Data use

Data Access

Download https://code.google.com/archive/p/cell-phenotype/downloads



Publications

Semantic integration of physiology phenotypes with an application to the Cellular Phenotype Ontology.

Hoehndorf R,Harris MA,Herre H,Rustici G,Gkoutos GV
Bioinformatics 2012

View Paper (PubMed) View Publication


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Related Databases (1)
CellFinder
CellFinder maps validated gene and protein expression, phenotype and images related to cell types.The data allow characterization and comparison of cell types and can be browsed by using the body browser and by searching for cells or genes. All cells are related to more complex systems such as tissues, organs and organisms and arranged according to their position in development. CellFinder provides long-term data storage for validated and curated primary research data and provides additional expert-validation through relevant information extracted from text.

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