All 2,683 resources. Harvested from Bioregistry, the OBO Foundry, OLS, TIB, LOV and NeuroSchema. Filter by domain (including cross-domain use), type, source registry or grade, and sort by score, FAIRness, activity or adoption.
The Cell Ontology is designed as a structured controlled vocabulary for cell types. The ontology was constructed for use by the model organism and other bioinformatics databases, incorporating cell types from prokaryotes to mammals, and includes plants and fungi.
The Ontology for Biomedical Investigations (OBI) project is developing an integrated ontology for the description of biological and clinical investigations. The ontology will represent the design of an investigation, the protocols and instrumentation used, the material used, the data generated and the type analysis performed on it. Currently OBI is being built under the Basic Formal Ontology (BFO).
Uberon is an integrated cross-species anatomy ontology representing a variety of entities classified according to traditional anatomical criteria such as structure, function and developmental lineage. The ontology includes comprehensive relationships to taxon-specific anatomical ontologies, allowing integration of functional, phenotype and expression data.
The Mammalian Phenotype Ontology (MP) classifies and organises phenotypic information related to the mouse and other mammalian species. This ontology has been applied to mouse phenotype descriptions in various databases allowing comparisons of data from diverse mammalian sources. It can facilitate in the identification of appropriate experimental disease models, and aid in the discovery of candidate disease genes and molecular signaling pathways.
The Disease Ontology has been developed as a standardized ontology for human disease with the purpose of providing the biomedical community with consistent, reusable and sustainable descriptions of human disease terms, phenotype characteristics and related medical vocabulary disease concepts.
A collection of biological attributes (traits) covering all kingdoms of life. Interoperable with VT (vertebrate trait ontology) and TO (plant trait ontology). Extends PATO.
The Ontology for Modeling and Representation of Social Entities (OMRSE) is an OBO Foundry ontology that represents the various entities that arise from human social interactions, such as social acts, social roles, social groups, and organizations.
The Vaccine Ontology (VO) is a community-based biomedical ontology in the domain of vaccines and vaccination. VO aims to standardize vaccine types and annotations, integrate various vaccine data, and support computer-assisted reasoning. The VO supports basic vaccine R&D and clinical vaccine usage. VO is being developed as a community-based ontology with support and collaborations from the vaccine and bio-ontology communities.
PATO is an ontology of phenotypic qualities, intended for use in a number of applications, primarily defining composite phenotypes and phenotype annotation.
The Human Phenotype Ontology (HPO) aims to provide a standardized vocabulary of phenotypic abnormalities encountered in human disease. Each term in the HPO describes a phenotypic abnormality, such as atrial septal defect. The HPO is currently being developed using the medical literature, Orphanet, DECIPHER, and OMIM.
FoodOn is a comprehensive and easily accessible global farm-to-fork ontology about food that accurately and consistently describes foods commonly known in cultures from around the world. It is a consortium-driven project built to interoperate with the The Open Biological and Biomedical Ontology Foundry library of ontologies.
The Cell Line Ontology is a community-based ontology of cell lines. The CLO is developed to unify publicly available cell line entry data from multiple sources to a standardized logically defined format based on consensus design patterns.
The Environment Ontology is a resource and research target for the semantically controlled description of environmental entities. The ontology's initial aim was the representation of the biomes, environmental features, and environmental materials pertinent to genomic and microbiome-related investigations.
Evidence codes can be used to specify the type of supporting evidence for a piece of knowledge. This allows inference of a 'level of support' between an entity and an annotation made to an entity.
The Radiomics Ontology aims to cover the radiomics feature domain with a strong focus on first order, shape, textural radiomics features. In addition, in the original version. it includes classes about segmentation algorithms and imaging filters. Due to a recent collaboration with the IBSI (International Biomarkers Standardization Initiative), the ontology has been expanded (v 1.6) and it includes all the entities presented in the IBSI document. Therefore, a broad coverage of not only radiomics features, but also every entity (e.g.
ECTO describes exposures to experimental treatments of plants and model organisms (e.g. exposures to modification of diet, lighting levels, temperature); exposures of humans or any other organisms to stressors through a variety of routes, for purposes of public health, environmental monitoring etc, stimuli, natural and experimental, any kind of environmental condition or change in condition that can be experienced by an organism or population of organisms on earth.
The MHC Restriction Ontology is an application ontology capturing how Major Histocompatibility Complex (MHC) restriction is defined in experiments, spanning exact protein complexes, individual protein chains, serotypes, haplotypes and mutant molecules, as well as evidence for MHC restrictions.
The Plant Ontology is a structured vocabulary and database resource that links plant anatomy, morphology and growth and development to plant genomics data.
The PRotein Ontology (PRO) has been designed to describe the relationships of proteins and protein evolutionary classes, to delineate the multiple protein forms of a gene locus (ontology for protein forms), and to interconnect existing ontologies.
STATO is the statistical methods ontology. It contains concepts and properties related to statistical methods, probability distributions and other concepts related to statistical analysis, including relationships to study designs and plots.
The Ontology of Organizational Structures of Trauma centers and Trauma systems (OOSTT) is a representation of the components of trauma centers and trauma systems coded in Web Ontology Language (OWL2).
The Ontology of Adverse Eventsy (OAE) is a biomedical ontology in the domain of adverse events. OAE aims to standardize adverse event annotation, integrate various adverse event data, and support computer-assisted reasoning. OAE is a community-based ontology. Its development follows the OBO Foundry principles. Vaccine adverse events have been used as an initial testing use case. OAE also studies adverse events associated with the administration of drug and nutritional products, the operation of surgeries, and the usage of medical devices, etc.