Tools   Select Another Resource Report Type

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/BCGO

Ontology that assigns a grade to a tumor starting from the 3 criteria of the NGS

Proper citation: Breast Cancer Grading Ontology (RRID:SCR_006658) Copy   

•   Source: SciCrunch Registry

http://www.informatics.jax.org/searches/AMA_form.shtml

Ontology that organizes anatomical structures for the adult mouse (Theiler stage 28) spatially and functionally, using ''is a'' and ''part of'' relationships. The ontology is used to describe expression data for the adult mouse and phenotype data pertinent to anatomy in standardized ways. The browser can be used to view anatomical terms and their relationships in a hierarchical display.

Proper citation: Adult Mouse Anatomy Ontology (RRID:SCR_006568) Copy   

•   Source: SciCrunch Registry

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

An application ontology for the domain of Sleep Medicine.

Proper citation: Sleep Domain Ontology (RRID:SCR_006808) Copy   

•   Source: SciCrunch Registry

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

A vocabulary that is able to describe and semantically interconnect the different paradigms of the cancer chemoprevention domain.

Proper citation: Cancer Chemoprevention Ontology (RRID:SCR_006966) Copy   

•   Source: SciCrunch Registry

http://www.loria.fr/~coulet/sopharm2.0_description.php

A domain ontology implemented in OWL-DL, which proposes a formal description of pharmacogenomic knowledge. It articulates different ontologies that represent complementary sub-domains of pharmacogenomics, i.e. related to genotype, phenotype, drugs, and clinical trials. SO-Pharm enables the representation of pharmacogenomic relationships between a drug, a genomic variation and a phenotype trait. In addition, it enables the representation of a patient and more largely a panel included in trials, and populations. SO-Pharm enables the representation of measured items on patients such as results from the observation of a phenotype trait or of genomic variations. SO-Pharm supports knowledge about pharmacogenomic hypothesis, case study, and investigations in pharmacogenomics. SO-Pharm is designed to facilitate data integration and knowledge discovery in pharmacogenomics. In addition it provides a consistent articulation of ontologies of pharmacogenomic sub-domains.

Proper citation: Suggested Ontology for Pharmacogenomics (RRID:SCR_003497) Copy   

•   Source: SciCrunch Registry

https://bioportal.bioontology.org/ontologies/REX?p=classes&conceptid=http%3A%2F%2Fpurl.obolibrary.org%2Fobo%2FREX_0000000

An ontology of physico-chemical processes, i.e. physico-chemical changes occurring in course of time. It includes both microscopic processes (involving molecular entities or subatomic particles) and macroscopic processes. Some biochemical processes from Gene Ontology (GO Biological process) can be described as instances of REX.

Proper citation: Physico-Chemical Process (RRID:SCR_003530) Copy   

•   Source: SciCrunch Registry

http://theswo.sourceforge.net

An ontology for describing software tools, their types, tasks, versions, provenance and data associated (the input and output data types and the uses the software can be put to).

Proper citation: Software Ontology (RRID:SCR_003493) Copy   

•   Source: SciCrunch Registry

http://ccdb.ucsd.edu/SAO

Ontology that describes structures from the dimensional range encompassing cellular and subcellular structure, supracellular domains, and macromolecules. It is built according to ontology development best practices (re-use of existing ontologies; formal definitions of terms; use of foundational ontologies). It describes the parts of neurons and glia and how these parts come together to define supracellular structures such as synapses and neuropil. Molecular specializations of each compartment and cell type are identified. The SAO was designed with the goal of providing a means to annotate cellular and subcellular data obtained from light and electron microscopy, including assigning macromolecules to their appropriate subcellular domains. The SAO thus provides a bridge between ontologies that describe molecular species and those concerned with more gross anatomical scales. Because it is intended to integrate into ontological efforts at these other scales, particular care was taken to construct the ontology in a way that supports such integration.

Proper citation: Subcellular Anatomy Ontology (RRID:SCR_003486) Copy   

•   Source: SciCrunch Registry