Open Biological and Biomedical Ontology
user> (reset)Ontology of agronomic practices, agronomic techniques, and agronomic variables used in agronomic experiments
The Plant Stress Ontology describes biotic and abiotic stresses that a plant may encounter.
The upper level ontology upon which OBO Foundry ontologies are built.
The OBO Relations Ontology (RO) is a collection of OWL relations (ObjectProperties) intended for use across a wide variety of biological ontologies.
The Cell Ontology is a structured controlled vocabulary for cell types in animals.
The Plant Ontology is a structured vocabulary and database resource that links plant anatomy, morphology and growth and development to plant genomics data.
An integrated cross-species anatomy ontology covering animals and bridging multiple species-specific ontologies.
An integrated ontology for representing the genetic variations described in genotypes, and their causal relationships to phenotype and diseases.
An ontology for describing the function of genes and gene products.
The Interaction Network Ontology (INO) is an ontology in the domain of interactions and interaction networks. INO represents general and species-neutral types of interactions and interaction networks, and their related elements and relations.
An ontology of human and animal behaviours and behavioural phenotypes.
A structured classification of molecular entities of biological interest focusing on 'small' chemical compounds.
Includes terms for the descriptors commonly used in cheminformatics software applications and the algorithms which generate them.
Processes at the molecular level.
Connects organic name reactions to their roles in an organic synthesis and to processes in MOP.
A structured controlled vocabulary for sequence annotation, for the exchange of annotation data and for the description of sequence objects in databases.
CDNO provides structured terminologies to describe nutritional attributes of material entities that contribute to human diet.
A broadly scoped ontology representing entities which bear a “food role”. It encompasses materials in natural ecosystems and agriculture that are consumed by humans and domesticated animals. This includes any generic (unbranded) raw or processed food material found in processing plants, markets, stores or food distribution points. FoodOn also imports nutritional component and dietary pattern terms from other OBO Foundry ontologies to support interoperability in diet and nutrition research.
Ecocore is a community ontology for the concise and controlled description of ecological traits of organisms.
An ontology of environmental systems, components, and processes.
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 scope is very general and can include for example plant treatment regimens, as well as human clinical exposures (although these may better be handled by a more specialized ontology).
An ontology about groups of interacting organisms such as populations and communities.
An ontology of disease symptoms, with symptoms encompasing perceived changes in function, sensations or appearance reported by a patient indicative of a disease.
An ontology for describing the classification of human diseases organized by etiology.
An ontology to describe entities related to cardiovascular diseases.
An ontology to represent medically relevant actions, procedures, therapies, interventions, and recommendations.
An ontology of affective phenomena such as emotions, moods, appraisals and subjective feelings.
The Mental Functioning Ontology is an overarching ontology for all aspects of mental functioning.
The NCIt OBO Edition project aims to increase integration of the NCIt with OBO Library ontologies. NCIt is a reference terminology that includes broad coverage of the cancer domain, including cancer related diseases, findings and abnormalities.
An ontology for representing treatment of disease and diagnosis and on carcinomas and other pathological entities.
DUO is an ontology which represent data use conditions.
An ontology of information entities.
STATO is a general-purpose STATistics Ontology. Its aim is to provide coverage for processes such as statistical tests, their conditions of application, and information needed or resulting from statistical methods, such as probability distributions, variables, spread and variation metrics. STATO also covers aspects of experimental design and description of plots and graphical representations commonly used to provide visual cues of data distribution or layout and to assist review of the results.
An ontology for experimental and other evidence statements.
The Ontology for Biomedical Investigations (OBI) is build in a collaborative, international effort and will serve as a resource for annotating biomedical investigations, including the study design, protocols and instrumentation used, the data generated and the types of analysis performed on the data. This ontology arose from the Functional Genomics Investigation Ontology (FuGO) and will contain both terms that are common to all biomedical investigations, including functional genomics investigations and those that are more domain specific.
A structured controlled vocabulary for the annotation of experiments concerned with proteomics mass spectrometry.
Next Generation Biobanking Ontology (NGBO) is an open application ontology representing contextual data about omics digital assets in biobank. The ontology focuses on capturing the information about three main activities: wet bench analysis used to generate omics data, bioinformatics analysis used to analyze and interpret data, and data management.
An ontology built for annotation and modeling of biobank repository and biobanking administration.
The Ontology of Precision Medicine and Investigation (OPMI) aims to ontologically represent and standardize various entities and relations associated with precision medicine and related investigations at different conditions.
A structured, controlled vocabulary which describes the treatments, growing conditions, and/or study types used in plant biology experiments.
An ontology for representing the provenance of scientific claims and the evidence that supports them.
A formalization of concepts and relations relevant to evolutionary comparative analysis.
An ontology representation of the NCBI organismal taxonomy.
The Gender, Sex, and Sexual Orientation (GSSO) ontology has terms for annotating interdisciplinary information concerning gender, sex, and sexual orientation for primary usage in the biomedical and adjacent sciences.
Traits and phenotypes of flowering plants occurring in digitized Floras.
An integrated ontology for representing the genetic variations described in genotypes, and their causal relationships to phenotype and diseases.
An ontology of phenotypic qualities (properties, attributes or characteristics).
A collection of biological attributes (traits) covering all kingdoms of life. Interoperable with VT (vertebrate trait ontology) and TO (plant trait ontology). Extends PATO.
An ontology for describing the phenology of individual plants and populations of plants, and for integrating plant phenological data across sources and scales.
OntoAvida develops an integrated vocabulary for the description of the most widely-used computational approach for studying evolution using digital organisms (i.e., self-replicating computer programs that evolve within a user-defined computational environment).
The Kinetic Simulation Algorithm Ontology (KiSAO) describes algorithms for simulating models in biology, their parameters, and their outputs.