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FYPO / Fission Yeast Phenotype Ontology

Provides consistent computable descriptions of phenotype data in fission yeast. FYPO uses several existing ontologies from the open biological and biomedical ontologies (OBO) collection. It organizes terms along three axes: one axis distinguishes normal from abnormal phenotypes, a second axis classifies phenotypes by the entity affected, and the last one axis distinguishes phenotypes relevant at the level of a cell are from those that can be observed only in a population of cells.


An ontology of prokaryotic phenotypes and metabolic characters. MicrO was built to support the ongoing development of a natural language processing algorithm, Microbial Phenomics Information Extractor. MicrO consists of ~2550 classes derived from text contained in the taxonomic descriptions of diverse prokaryotic taxa that span the archaeal and bacterial domains of life. The largest categories of classes in the ontology include assays (enzymatic, metabolic, and phenotypic assays), microbiological culture media and media ingredients, and prokaryotic qualities.

CMPO / Cellular Microscopy Phenotype Ontology

Provides about 360 phenotype terms. CMPO can be used to annotate mitotic phenotypes observed in live human cells, as well as cellular phenotypes from tissue microarrays of diseased tissues from both human patients and mouse models. It describes a cell population phenotype as a collection of qualities that inhere in a population of cells. The database follows many standard conventions from the open biological and biomedical ontologies (OBO) foundry for ontology term metadata.