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Online Mendelian Inheritance in Animals (OMIA) is a catalogue/compendium of inherited disorders, other (single-locus) traits, and associated genes and variants in more than 500 vertebrate animal species (other than human, mouse, rats, zebrafish and western clawed frog, which have their own resources). The 'omia' prefix is used for phenes, either across species (omia:001000) or in a specific species (omia:001000-9615)

Online Mendelian Inheritance in Animals (OMIA) is a catalogue/compendium of inherited disorders, other (single-locus) traits, and associated genes and variants in more than 500 vertebrate animal species (other than human, mouse, rats, zebrafish and western clawed frog, which have their own resources). The 'omia.variant' prefix is used for genetic variants associated with phenes listed in OMIA

A Phenotypic Series is a tabular view of genetic heterogeneity of similar phenotypes across the genome.

The new national clinical trials registry of the Netherlands

The OMOP Common Data Model allows for the systematic analysis of disparate observational databases. The concept behind this approach is to transform data contained within those databases into a common format (data model) as well as a common representation (terminologies, vocabularies, coding schemes), and then perform systematic analyses using a library of standard analytic routines that have been written based on the common format.

OncoMX is a knowledgebase for exploring cancer biomarkers in the context of related cancer and healthy data. This resource is for datasets within OncoMX.

OncoTree is a dynamic and flexible community-driven cancer classification platform encompassing rare and common cancers that provides clinically relevant and appropriately granular cancer classification for clinical decision support systems and oncology research.

The Ontology of Immune Epitopes (ONTIE) is an effort to represent terms in the immunology domain in a formal ontology with the specific goal of representing experiments that identify and characterize immune epitopes.

OntoCAPE is a large-scale ontology for the domain of Computer Aided Process Engineering (CAPE). Represented in a formal, machine-interpretable ontology language, OntoCAPE captures consensual knowledge of the process engineering domain in a generic way such that it can be reused and shared by groups of people and across software systems. On the basis of OntoCAPE, novel software support for various engineering activities can be developed; possible applications include the systematic management and retrieval of simulation models and design documents, electronic procurement of plant equipment, mathematical modeling, as well as the integration of design data from distributed sources.

The aim of lemon is to provide rich linguistic grounding for ontologies. Rich linguistic grounding includes the representation of morphological and syntactic properties of lexical entries as well as the syntax-semantics interface, i.e. the meaning of these lexical entries with respect to an ontology or vocabulary. [homepage]

Ontology Management Environment (OntoME) is a web-based environment for curating a collaborative ontology based on CIDOC-CRM.

Namespace in the Ontology Management Environment

Profile in the Ontology Management Environment

Project in the Ontology Management Environment

OntoRXN is an ontology for the description of reaction networks as undirected graphs characterized by energies.

OpenAlex is a fully open catalog of the global research system that describes scholarly entities and how those entities are connected to each other.

educational levels

Orientations of Proteins in Realistic Lipid Membranes (OPRLM) is a database for visualizing proteins in realistic lipid membranes. It includes the classification of proteins into types, superfamilies, and families, and also provides information on intracellular localizations of the proteins. Identifiers represent proteins.

The first number is the chapter then the remainder are subsections.