Human Phenotype Ontology

"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. HPO currently contains approximately 11,000 terms and over 115,000 annotations to hereditary diseases. The HPO also provides a large set of HPO annotations to approximately 4000 common diseases.

327 users have voted.

Evidence Codes Ontology

"The Evidence Ontology (ECO) describes types of scientific evidence within the realm of biological research that can arise from laboratory experiments, computational methods, manual literature curation, and other means. Researchers can use these types of evidence to support assertions about things (such as scientific conclusions, gene annotations, or other statements of fact) that result from scientific research.

333 users have voted.

Plant Ontology

"Plant Ontology project is a major international bioinformatics effort on standardizing the nomenclature, definitions, synonyms and relations of various terms/keywords/vocabularies that describe anatomical entities as well as the growth and developmental stages of plants. This collaborative project involves team members and projects with expertise on plant functional and comparative genomics, genetics, systematics, anatomy, developmental biology, computational biology, ontology development, etc.

314 users have voted.

UniProtKB Keywords

"UniProtKB Keywords constitute a controlled vocabulary with a hierarchical structure. Keywords summarise the content of a UniProtKB entry and facilitate the search for proteins of interest. Keywords are classified in 10 categories: Biological process, Cellular component, Coding sequence diversity, Developmental stage, Disease, Domain, Ligand, Molecular function, Post-translational modification, Technical term. An entry often contains several keywords. Inside a category, the keywords are stored in alphabetical order.

335 users have voted.

Web Service Interaction Ontology

"Web Service Interaction Ontology (WSIO) enables automated interaction with more complex Web services that are typical for example within life sciences. WSIO is however independent of the application domain and relevant for both SOAP and REST Web services, and for batch execution engines in general. If the interaction scenario with a Web service is nontrivial (and incorporates session handling), annotation with WSIO concepts will enable automatic generation of client programs, scripts, or interactive applications with a graphical user interface.

335 users have voted.

Systems Biology Ontology

"The Systems Biology Ontology is a set of controlled, relational vocabularies of terms commonly used in Systems Biology, and in particular in computational modelling. It consists of seven orthogonal vocabularies defining: reaction participants roles (e.g. "substrate"), quantitative parameters (e.g. "Michaelis constant"), classification of mathematical expressions describing the system (e.g. "mass action rate law"), modelling framework used (e.g. "logical framework"), the nature of the entity (e.g. "macromolecule"), the type of interaction (e.g.

381 users have voted.

Infectious Disease Ontology

"The IDO ontologies are designed as a set of interoperable ontologies that will together provide coverage of the infectious disease domain. At the core of the set is a general Infectious Disease Ontology (IDO-Core) of entities relevant to both biomedical and clinical aspects of most infectious diseases. Sub-domain specific extensions of IDO-Core complete the set providing ontology coverage of entities relevant to specific pathogens or diseases."

447 users have voted.