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

An ontology that describes various concepts in quantitative imaging biomarkers.

Proper citation: Quantitative Imaging Biomarker Ontology (RRID:SCR_010417) Copy   

•   Source: SciCrunch Registry

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

Ontology to help the systematic review and meta-analysis process of non randomized clinical trials.

Proper citation: Non-Randomized Controlled Trials Ontology (RRID:SCR_010380) Copy   

•   Source: SciCrunch Registry

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

Ontology that contains activities that nurses use while coordinating care among patients.

Proper citation: Nursing Care Coordination Ontology (RRID:SCR_010381) Copy   

•   Source: SciCrunch Registry

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

An ontological knowledge base model for cystic fibrosis. There are molecular genetic information (i.e. gene mutations) and health information included in OntoKBCF. The purposes of OntoKBCF include management of molecular genetic information and health information and embedding OntoKBCF into EHR settings.

Proper citation: Ontological Knowledge Base Model for Cystic Fibrosis (RRID:SCR_010382) Copy   

•   Source: SciCrunch Registry

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

Ontology used to model the scientific investigation, especially Genome-Wide Association Study (GWAS), to find out genetic susceptibility factor to disease, such as Diabetes. It models the genetic varaints, polymorphisms, statistical measurement, populations and other elements that are essential to determine a genetic susceptibility factor in GWAS study. It must be used with other two ontologies, in the case of Diabetes, :Ontology of Geographical Region (OGR) and Ontology of Glucose Metabolism Disorder (OGMD) .

Proper citation: Ontology for Genetic Disease Investigations (RRID:SCR_010385) Copy   

•   Source: SciCrunch Registry

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

Ontology generated as part of the Bioinformatics Integration Support Contract (BISC) that is based on the National Library of Medicine (NLM) Medical Subject Headings; National Cancer Institute Thesaurus; International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM); ICD-10; and other open source public databases. Specific information may be available about a class, including Preferred_Name, DEFINITION, Synonym, etc.

Proper citation: Immune Disorder Ontology (RRID:SCR_010344) Copy   

•   Source: SciCrunch Registry

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

A custom-built terminology to describe the nanomanufacturing enterprise.

Proper citation: InterNano Nanomanufacturing Taxonomy (RRID:SCR_010346) Copy   

•   Source: SciCrunch Registry

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

An ontology in the domain of interaction network that aims to standardize interaction network annotation, integrate various interaction network data, and support computer-assisted reasoning. It is aimed to represent general interactions (e.g., molecular interactions) and interaction networks (e.g., Bayesian network). INO was initiated by supporting literature mining related to interactions and interaction networks. INO aligns with BFO. INO is a community-based ontology, and its development follows the OBO Foundry principles.

Proper citation: Interaction Network Ontology (RRID:SCR_010347) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/ICD10

Ontology of the International Statistical Classification of Diseases and Related Health Problems (ICD-10). 10th rev. Geneva, a medical classification list by the World Health Organization (WHO).

Proper citation: International Classification of Diseases Version 10 (RRID:SCR_010349) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/ICD10PCS

Ontology of the International Classification of Diseases Version 10, ICD-10-PCS (Procedure Coding System), 2009.

Proper citation: International Classification of Diseases Version 10 - Procedure Coding System (RRID:SCR_010351) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/ONL-MR-DA

Ontology that is a module of the OntoNeuroLOG ontology, that covers the domain of Magnetic Resonance Imaging (MRI) dataset acquisition, i.e. MRI protocols, and MRI sequence parameters, developed in the context of the NeuroLOG project, a french project aiming at integrating distributed heterogeneous resources in neuroimaging. In particular, it includes a multi-axial classification of MR sequences.

Proper citation: MR dataset acquisition (RRID:SCR_010352) Copy   

•   Source: SciCrunch Registry

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

Ontology for organismal habitats (especially focused on microbes)

Proper citation: Metagenome and Microbes Environmental Ontology (RRID:SCR_010359) Copy   

•   Source: SciCrunch Registry

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

Controlled vocabularies for the MIxS (Minimal Information about any Sequence) family of metadata checklists. See http://gensc.org/gc_wiki/index.php/MIxS for details on the MIxS checklists.

Proper citation: Minimal Information about any Sequence Controlled Vocabularies (RRID:SCR_010363) Copy   

•   Source: SciCrunch Registry

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

Ontology that is a conceptual model for the domain of gene regulation. It covers processes that are linked to the regulation of gene expression as well as physical entities that are involved in these processes (such as genes and transcription factors) in terms of ontology classes and semantic relations between classes. GRO is intended to represent common knowledge about gene regulation in a formal way rather than representing extremely fine-grained classes as can be found in ontologies such as the Gene Ontology (GO) (created for data base annotation purposes) and various relevant databases. The main purpose of the ontology is to support NLP applications. It has a particular focus on the relations between processes and the molecules (participants) involved. The basic structure of the GRO is a direct acyclic graph (DAG) with ontology classes as nodes and is-a relations between classes as edges. The taxonomic backbone is further enriched by several semantic relation types (part-of, from-species, participates-in with the two sub-relations agent-of and patient-of).

Proper citation: Gene Regulation Ontology (RRID:SCR_010590) Copy   

•   Source: SciCrunch Registry

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

Ontology of human dermatologic disease

Proper citation: Human Dermatological Disease Ontology (RRID:SCR_007648) Copy   

•   Source: SciCrunch Registry

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

Ontology for host pathogen interactions in farmed animals

Proper citation: Host Pathogen Interactions Ontology (RRID:SCR_007647) Copy   

•   Source: SciCrunch Registry

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

A small ontology for anatomical spatial references, such as dorsal, ventral, axis, and so forth.

Proper citation: Spatial Ontology (RRID:SCR_007860) Copy   

•   Source: SciCrunch Registry

http://code.google.com/p/eagle-i/

Ontology that models research resources such as instruments, protocols, reagents, animal models and biospecimens. It has been developed in the context of the eagle-i project (http://eagle-i.net/) and consists of over 3451 classes of which over 1200 were created within the ERO namespace, while the rest come from existent ontologies such as the Ontology for Biomedical Investigation (OBI), the uber-anatomy ontology (Uberon), VIVO, the Ontology for Clinical Research (OCRe), the Sequence Ontology (SO), the Software Ontology (SWO) and we include terms from the NCBI Taxonomy as well. The main ontology can be browsed in OntoBee. All purls resolve to OntoBee.

Proper citation: eagle-i research resource ontology (RRID:SCR_008784) Copy   

•   Source: SciCrunch Registry

http://mged.sourceforge.net/ontologies/MGEDontology.php

An ontology including concepts, definitions, terms, and resources for a standardized description of a microarray experiment in support of MAGE v.1. The MGED ontology is divided into the MGED Core ontology which is intended to be stable and in synch with MAGE v.1; and the MGED Extended ontology which adds further associations and classes not found in MAGE v.1. These terms will enable structure queries of elements of the experiments. Furthermore, the terms will also enable unambiguous descriptions of how the experiment was performed.

Proper citation: MGED Ontology (RRID:SCR_004484) Copy   

•   Source: SciCrunch Registry

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

Ontology for standard measures related to complex diseases, phenotypic traits and environmental exposures

Proper citation: PhenX Phenotypic Terms (RRID:SCR_004518) Copy   

•   Source: SciCrunch Registry