OWL

Information Artifact Ontology

"The Information Artifact Ontology (IAO) is a new ontology of information entities, originally driven by work by the OBI digital entity and realizable information entity branch.
An information artifact is, loosely, a dependent continuant or its bearer that is created as the result of one or more intentional processes. Examples: uniprot, the english language, the contents of this document or a printout of it, the temperature measurements from a weather balloon."

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."

Cognitive Paradigm Ontology

"The use of alternate and even competitive terminologies can often impede scientific discoveries. While the experimental psychology and cognitive neuroscience literature may refer to certain behavioral paradigms by name (eg. the Stroop paradigm or the Sternberg paradigm) or by function (a working memory task, a visual attention task), these paradigms can vary tremendously in the stimuli that are presented to the subject, the response expected from the subject, and the instructions given to the subject.

Computer-Based Patient Record Ontology

"The (Computer-Based Patient Record) CPR ontology burrows its name from the Institute of Medicine term used to define medical records systems of the future and the important features that distinguish them for EHRs of today. In particular, it defines a set of requirements including a Record Content category, which states: Uniform core data elements, standardized coding systems and formats, a common data dictionary, and information on outcomes of care and functional status.

Fission Yeast Phenotype Ontology

" The Fission Yeast Phenotype Ontology (FYPO) is a formal ontology of phenotypes observed in fission yeast. FYPO is being developed to support the comprehensive and detailed representation of phenotypes in PomBase, the online fission yeast resource. Its scope is similar to that of the Ascomycete Phenotype Ontology (APO), but FYPO includes more detailed pre-composed terms as well as computable definitions."

Glycomics Ontology

"The Glycomics Ontology (GlycO) focuses on the glycoproteomics domain to model the structure and functions of glycans and glycoconjugates, the enzymes involved in their biosynthesis and modification, and the metabolic pathways in which they participate. GlycO is intended to provide both a schema and a sufficiently large knowledge base, which will allow classification of concepts commonly encountered in the field of glycobiology in order to facilitate automated reasoning and information analysis in this domain.

Genomic Clinical Decision Support Ontology

"The Genomic Clinical Decision Support (Genomic CDS) project aims to create and maintain an integrated, ontology-based knowledge base of clinically relevant pharmacogenomic information. This knowledge base is used to implement clinical decision support algorithms for improving quality of care, e.g., for providing drug dosage recommendations and comparisons of the efficacy of different treatment options."

Gene Ontology

"The Gene Ontology project is a major bioinformatics initiative with the aim of standardizing the representation of gene and gene product attributes across species and databases. The project provides a controlled vocabulary of terms for describing gene product characteristics and gene product annotation data from GO Consortium members, as well as tools to access and process this data."

Foundational Model of Anatomy

"The Foundational Model of Anatomy Ontology (FMA) is an evolving computer-based knowledge source for biomedical informatics; it is concerned with the representation of classes or types and relationships necessary for the symbolic representation of the phenotypic structure of the human body in a form that is understandable to humans and is also navigable, parseable and interpretable by machine-based systems. Specifically, the FMA is a domain ontology that represents a coherent body of explicit declarative knowledge about human anatomy.

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