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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/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/PMR

Ontology for knowledge representation related to computer-based decision support in rehabilitation; concepts and relationships in the rehabilitation domain, integrating clinical practice, the ICD (specifically its 11th revision), the clinical investigator record ontology, the ICF and SNOMED CT.

Proper citation: Physical Medicine and Rehabilitation (RRID:SCR_005948) Copy   

•   Source: SciCrunch Registry

http://www.human-phenotype-ontology.org/

Provides standardized vocabulary of phenotypic abnormalities encountered in human disease. Structured and controlled vocabulary for phenotypic features encountered in human hereditary and other disease. HPO is being developed in collaboration with members of OBO Foundry (Open Biological and Biomedical Ontologies), and logical definitions for HPO terms are being developed using PATO and a number of other ontologies including FMA, GO, ChEBI, and MPATH.

Proper citation: Human Phenotype Ontology (RRID:SCR_006016) Copy   

•   Source: SciCrunch Registry

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

An ontology for sequence annotations and how to preserve them with reference sequences.

Proper citation: Reference Sequence Annotation (RRID:SCR_006095) Copy   

•   Source: SciCrunch Registry

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

A biomedical ontology in the vaccine domain

Proper citation: Vaccine Ontology (RRID:SCR_006271) Copy   

•   Source: SciCrunch Registry

https://github.com/SciCrunch/NIF-Ontology

The NIF Standard Ontology (NIFSTD) is a collection of modular ontologies that provides an extensive set of terms and concepts important for the domains of neuroscience and biology, as well as the data and resources relevant for the life sciences. It is a core component of the Neuroscience Information Framework (NIF) project, a semantically enhanced portal for accessing and integrating neuroscience data, tools and information.

Proper citation: NIFSTD (RRID:SCR_005414) Copy   

•   Source: SciCrunch Registry

http://vivoweb.org/

Open source semantic web application that enables the discovery of research and scholarship across disciplines at a particular institution and across institutions by creating a semantic cloud of information that can be searched and browsed. Participants include institutions with local installations of VIVO or those with research discovery and profiling applications that can provide semantic web-compliant data. The information accessible through the national network''''s search and browse capability will therefore reside and be controlled locally within institutional VIVOs or other semantic web applications. The VIVO ontology provides a set of types (classes) and relationships (properties) to represent researchers and the full context of their experience, outputs, interests, accomplishments, and associated institutions. https://wiki.duraspace.org/display/VIVO/VIVO-ISF+Ontology VIVO is populated with detailed profiles of faculty and researchers including information such as publications, teaching, service, and professional affiliations. It also supports browsing and a search function which returns faceted results for rapid retrieval of desired information. The rich semantically structured data in VIVO support and facilitate research discovery. Examples of applications that consume these rich data include: visualizations, enhanced multi-site search through VIVO Search, and applications such as VIVO Searchlight, a browser bookmarklet which uses text content of any webpage to search for relevant VIVO profiles, and the Inter-Institutional Collaboration Explorer, an application which allows visualization of collaborative institutional partners, among others. Institutions are free to participate in the national network by installing and using the application. The application provides linked data via RDF data making users a part of the semantic web! or any other application that provides linked data can be used. Users can also get involved with developing applications that provide enhanced search, new collaboration capabilities, grouping, finding and mapping scientists and their work.

Proper citation: VIVO (RRID:SCR_005246) Copy   

•   Source: SciCrunch Registry

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

Ontology of Computer retrieval of Information on Scientific Projects (CRISP).

Proper citation: Computer Retrieval of Information on Scientific Projects Thesaurus (RRID:SCR_005301) Copy   

•   Source: SciCrunch Registry

http://force11.org/

A collaboration which works to transform scholarly communications through advanced use of computers and the Web. FORCE11 advocates the digital publishing of papers in order to enable more effective scholarly communication. The virtual community also advocates the publication of software tools and research communication by means of social media channels. As such, FORCE11 provides access to information and tools for the wider scientific community.

Proper citation: FORCE11 (RRID:SCR_005334) Copy   

•   Source: SciCrunch Registry

http://zfin.org/zf_info/anatomy/dict/sum.html

A structured controlled vocabulary of the anatomy and development of the Zebrafish (Danio rerio). It includes a list of structures, organized hierarchically into an ontology, with descriptions of each structure. The current version is being written by a consortium of researchers, each serving as an expert for a particular set of anatomical structures. Additional anatomical information derived from the current literature is provided by the ZFIN curation group. Development of a complete and uniform anatomical ontology for the zebrafish is vital to the success of zebrafish science. The anatomical ontology is necessary for: * Effective data dissemination and informatics. * A reference framework. * Interoperability.

Proper citation: Zebrafish Anatomical Ontology (RRID:SCR_005887) Copy   

•   Source: SciCrunch Registry

https://genenames.org

Only worldwide authority that provides standardized nomenclature, i.e. gene names and symbols (short form abbreviations), for all known human genes, and stores all approved symbols in the HGNC database. Approved human gene nomenclature. Database of gene symbols and names. Manually curated genes into groups based on shared characteristics such as homology, function or phenotype. Data for protein-coding genes, pseudogenes and non-coding RNAs.

Proper citation: HGNC (RRID:SCR_002827) Copy   

•   Source: SciCrunch Registry