Minimum Information for A Phylogenetic Analysis

"The MIAPA ontology is intended to be an application ontology for the purpose of semantic annotation of phylogenetic data according to the requirements and recommendations of the Minimum Information for A Phylogenetic Analysis (MIAPA) metadata reporting standard. The ontology leverages (imports) primarily from the CDAO (Comparative Data Analysis Ontology), PROV (W3C Provenance Ontology), and SWO (Software Ontology, which includes the EDAM ontologies) ontologies.

Population and Community Ontology

"The Population and Community Ontology (PCO) describes material entities, qualities, and processes related to collections of interacting organisms such as populations and communities. It is taxon neutral, and can be used for any species, including humans. The classes in the PCO are useful for describing evolutionary processes, organismal interactions, and ecological experiments. Practical applications of the PCO include community health care, plant pathology, behavioral studies, sociology, and ecology.

Drug Interaction and Evidence Ontology

"A new foundational representation of potential drug-drug interactions
(PDDIs) that covers the material entities and processes in the domain
of discourse for PDDI evidence and knowledge claims. The
representation will enable the integration of drug interaction
mechanisms, effects, risk factors, severity, and management options
with the chemical and pharmacological properties (e.g., chemical
structure, function, pharmacokinetic and pharmacodynamic properties)
of the interacting drugs."


"The eNanoMapper project (www.enanomapper.net) is creating a pan-European computational infrastructure for toxicological data management for ENMs, based on semantic web standards and ontologies. > This ontology is an application ontology targeting the full domain of nanomaterial safety assessment. It re-uses several other ontologies including the NPO, CHEMINF, ChEBI, and ENVO."

Agronomy Ontology

"AgrO, the Agronomy Ontology, describes agronomic practices, agronomic techniques, and agronomic variables used in agronomic experiments. AgrO is being built by CGIAR using traits identified by agronomists, the ICASA variables, and other existing ontologies such as ENVO, UO, and PATO. Once stable, it is anticipated to provide value to SDGIO. It will complement existing crop, livestock, and fish ontologies to enable harmonized approaches to data collection, facilitating easier data sharing and reuse.

Ancestry Ontology

"The Ancestry Ontology (Ancestro) provides a systematic description of the ancestry concepts used in the NHGRI-EBI Catalog of published genome-wide association studies. It includes a list of countries, regions and major areas (essentially continents), as well as a fairly exhaustive list of country- or region-specific ancestral groups, uncategorised ancestral groups and population isolates."