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http://purl.bioontology.org/ontology/WHO-ART

Ontology of the WHO adverse reaction terminology, 1997.

Proper citation: WHO Adverse Reaction Terminology (RRID:SCR_010447) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/GO-EXT

An extension of the Gene Ontology.

Proper citation: Gene Ontology Extension (RRID:SCR_010327) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/SuicidO

Ontology of suicidology.

Proper citation: suicideo (RRID:SCR_010451) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/GENE-CDS

Ontology to unify several functionalities in a single resource, being: * A knowledge base for clinical pharmacogenomics/pharmacogenetics that can be used for question-answering (e.g., which SNPs are associated with this drug?) * A rule base for clinical decision support (e.g., inferring that a patient with a specific set of SNPs requires a lowered dose of warfarin and generating a CDS message that can be viewed by clinicians) * A tool for checking data consistency (e.g., highlighting which allele definitions in PharmGKB are overlapping, or which clinical decision support rules are matching the same group of patients)

Proper citation: Genomic Clinical Decision Support Ontology (RRID:SCR_010331) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/GEOSPECIES

Ontology to help integrate species concepts with species occurrences, gene sequences, images, references and geographical information. See also Taxonconcept.org

Proper citation: GeoSpecies Ontology (RRID:SCR_010332) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/pseudo

Ontology for pseudogenes including biological feature, classified type, Evidence code, and subcellular origin.

Proper citation: Pseudogene (RRID:SCR_010453) Copy   

•   Source: SciCrunch Registry

https://bioportal.bioontology.org/ontologies/TEDDY?p=classes&conceptid=http%3A%2F%2Fidentifiers.org%2Fteddy%2FTEDDY_0000000

Ontology for dynamical behaviors, observable dynamical phenomena, and control elements of bio-models and biological systems in Systems Biology and Synthetic Biology.

Proper citation: Terminology for the Description of Dynamics (RRID:SCR_010454) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/HLTHINDCTRS

Ontology for standardized health outcome and health determinant indicators as maintained by the CDC National Center for Health Statistics.

Proper citation: Health Indicator Ontology (RRID:SCR_010335) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/HL7

Ontology for the data types used in the creation of HL7 (Health Level Seven International) V3 specifications. This version is the first update to Normative RIM, Release 3. It is based on changes approved in Harmonization in November 2010. This release of the RIM is bound to HL7 Abstract Data Types Release 2. https://www.hl7.org/implement/standards/product_brief.cfm?product_id=264

Proper citation: Health Level Seven Reference Implementation Model Version 3 (RRID:SCR_010336) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/HINO

An Interaction Network Ontology (INO) extension for the domain of human interaction networks. It has currently incoporated Reactome reactions and pathways. Like INO, HINO aligns with BFO. HINO is developed by following the OBO Foundry principles.

Proper citation: Human Interaction Network Ontology (RRID:SCR_010339) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/IMGT-ONTOLOGY

Ontology for immunogenetics and immunoinformatics. Provides semantic specification of terms to be used in immunogenetics and immunoinformatics and manages related knowledge, thus allowing standardization for immunogenetics data from genome, proteome, genetics, two-dimensional (2D) and three-dimensional (3D) structures. Manages the knowledge through diverse facets relying on seven axioms, IDENTIFICATION, CLASSIFICATION, DESCRIPTION, NUMEROTATION, LOCALIZATION, ORIENTATION and OBTENTION. These axioms postulate that any object, any process and any relation can be identified, classified, described, numbered, localized and orientated, and the way it is obtained can be characterized. The axioms constitute the Formal IMGT-ONTOLOGY, also designated as IMGT-Kaleidoscope. As the same axioms can be used to generate concepts for multi-scale level approaches, the Formal IMGT-ONTOLOGY represents a paradigm for system biology ontologies, which need to identify, to classify, to describe, to number, to localize and to orientate objects, processes and relations at the molecule, cell, tissue, organ, organism or population levels. IMGT, the international ImMunoGeneTics information system, has been built on IMGT-ONTOLOGY. The version 1.0.2 of IMGT-ONTOLOGY includes the concepts of IDENTIFICATION and the concepts of CLASSIFICATION.

Proper citation: IMGT-ONTOLOGY (RRID:SCR_010342) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/IDQA

Ontology for Image and Data Quality Assessment for scientific data management.

Proper citation: Image and Data Quality Assessment Ontology (RRID:SCR_010343) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/SYMP

Ontology designed around the guiding concept of a symptom being: A perceived change in function, sensation or appearance reported by a patient indicative of a disease. Understanding the close relationship of Signs and Symptoms, where Signs are the objective observation of an illness, the Symptom Ontology will work to broaden it''s scope to capture and document in a more robust manor these two sets of terms. Understanding that at times, the same term may be both a Sign and a Symptom

Proper citation: Symptom Ontology (RRID:SCR_010388) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/STATO

A general-purpose STATistics Ontology to provide coverage for processes such as statistical tests, their conditions of applications, and information needed or resulting from statistical methods, such as probability distributions, variable, 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.

Proper citation: STATistics Ontology (RRID:SCR_010421) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/SYN

Controlled vocabulary used for various entity properties in the Synapse platform.

Proper citation: Sage Bionetworks Synapse Ontology (RRID:SCR_010422) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/SEP

A structured controlled vocabulary for the annotation of sample processing and separation techniques in scientific experiments, such as, and including, gel electrophoresis, column chromatography, capillary electrophoresis, centrifugation and so on. Developed jointly by the HUPO Proteomics Standards Initiative and The Metabolomics Standards Initiative.

Proper citation: Sample Processing and Separation Techniques Ontology (RRID:SCR_010423) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/OBCS

A biomedical ontology in the domain of biological and clinical statistics that is primarily targeted for statistical representation in the fields in biological, biomedical, and clinical domains. It uses the Basic Formal Ontology (BFO) as the upper level ontology. OBCS imports all biostatistics related terms in the Ontology for Biomedical Investigations (OBI) including all logical axioms.

Proper citation: Ontology of Biological and Clinical Statistics (RRID:SCR_010391) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/OCRE

Ontology to support systematic description of, and interoperable queries on, human studies and study elements.

Proper citation: Ontology of Clinical Research (RRID:SCR_010392) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/TAXRANK

A vocabulary of taxonomic ranks intended to replace the sets of rank terms found in the Teleost Taxonomy Ontology, the OBO translation of the NCBI taxonomy and similar OBO taxonomy ontologies. It provides terms for taxonomic ranks drawn from both the NCBI taxonomy database and from a rank vocabulary developed for the TDWG biodiversity information standards group. Cross references to appearances of each term in each source are provided. Consistent with its intended use as a vocabulary of labels, there is no relation specifying an ordering of the rank terms.

Proper citation: Taxonomic Rank Vocabulary (RRID:SCR_010430) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/OGR

Ontology that is used with other ontologies to represent the genetic susceptibility factors of diabetes. This OWL ontology classified the geograhical regions related vocabularies extracted from UMLS.

Proper citation: Ontology of Geographical Region (RRID:SCR_010398) Copy   

•   Source: SciCrunch Registry