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http://purl.bioontology.org/ontology/ABA-AMB

Allen Brain Atlas P56 Mouse Ontology

Proper citation: ABA Adult Mouse Brain Ontology (RRID:SCR_010286) Copy   

•   Source: SciCrunch Registry

http://www.obofoundry.org/wiki/index.php/AEO:Main_Page

An ontology of anatomical structures that expands CARO, the Common Anatomy Reference Ontology, to about 200 classes using the is_a relationship; it thus provides a detailed type classification for tissues. The new classes were chosen for their use in categorizing the major vertebrate and invertebrate anatomy ontologies at a granularity adequate for tissues of a single cell type. The ontology should be useful in increasing the amount of knowledge in anatomy ontologies, facilitating annotation and enabling interoperability across anatomy ontologies

Proper citation: AEO (RRID:SCR_010287) Copy   

•   Source: SciCrunch Registry

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

Ontology that describes the actors'' function (healer, fetishist or soothsayer); the different types of proposed process treatment, the symptom''s roles and the disease consideration.

Proper citation: African Traditional Medicine Ontology (RRID:SCR_010288) Copy   

•   Source: SciCrunch Registry

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

An instance of a Domain Analysis Model (DAM) with the goal of producing a shared view of the dynamic and static semantics for the domain of protocol-driven research and its associated regulatory artifacts. This domain of interest is further defined as: Protocol-driven research and its associated regulatory artifacts: i.e. the data, organization, resources, rules, and processes involved in the formal assessment of the utility, impact, or other pharmacological, physiological, or psychological effects of a drug, procedure, process, or device on a human, animal, or other subject or substance plus all associated regulatory artifacts required for or derived from this effort, including data specifically associated with post-marketing adverse event reporting. The Biomedical Research Integrated Domain Group (BRIDG) Model is a collaborative effort engaging stakeholders from the Clinical Data Interchange Standards Consortium (CDISC), the HL7 Regulated Clinical Research Information Management Technical Committee (RCRIM TC), the National Cancer Institute (NCI) and its Cancer Biomedical Informatics Grid (caBIG??), and the US Food and Drug Administration (FDA). Source repository: https://ncisvn.nci.nih.gov/WebSVN/listing.php?repname=bridg-model&path=%2Ftrunk%2FModel+-+OWL%2F&

Proper citation: Biomedical Research Integrated Domain Group Model (RRID:SCR_010265) Copy   

•   Source: SciCrunch Registry

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

A multi-species anatomical ontology for the vertebrate lineage, developed as part of the Bgee project. The mapping to species-specific anatomical ontologies is provided as a separated file: http://bgee.unil.ch/download/organ_association_vHOG.txt This mapping represents homology-strict relationships, in the sense of HOM:0000007 historical homology. Each mapping has been manually reviewed, and theye provide confidence codes and references when available.

Proper citation: Vertebrate Homologous Organ Group Ontology (RRID:SCR_010444) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/VANDF, NDF

Ontology that includes information on clinical drugs, drug classes, ingredients and National Drug Code (NDC) Directory codes.

Proper citation: Veterans Health Administration National Drug File (RRID:SCR_010445) Copy   

•   Source: SciCrunch Registry

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

An extension of the Ontology for General Medical Science (OGMS) that covers the four consensus human vital signs: blood pressure, body temperature, respiration rate, pulse rate. VSO provides also a controlled structured vocabulary for describing vital signs measurement data, the various processes of measuring vital signs, and the various devices and anatomical entities participating in such measurements.

Proper citation: Vital Sign Ontology (RRID:SCR_010446) Copy   

•   Source: SciCrunch Registry

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/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