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

Ontology that aims at representing classes and relations to a specific set of diseases which persist in exactly the physical, psychosocial and economic situation of the poorest, most marginalized populations of the developing world, the Neglected Tropical Diseases (NTD). The current focus of NTDO is related to the transmission of vector-borne diseases and how they are related to the death. NTDO is based on BioTop (main classes and relations) and GFO (Time Representation) and represented in Description Logics (DL). NTDO includes information about the proper disease, its causative agent (when available), dispositions, and the geographic location the disease happens. In addition, NTDO includes a generic attempt to identify the process which leads a person to death, due to NTDs or other diseases. NTDO was built with a rich set of axioms and the intended usage is related to Health Surveillance of NTD-related morbidity and mortality cases.

Proper citation: Neglected Tropical Disease Ontology (RRID:SCR_010374) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/NEOMARK3

Ontology that describes the medical information necessary for early detection of the oral cancer reoccurrence extracted from the NeoMark Project.

Proper citation: Neomark Oral Cancer Ontology version 3 (RRID:SCR_010375) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/NEOMARK4

Ontology that describes the medical information necessary for early detection of the oral cancer reoccurrence extracted from the NeoMark Project.

Proper citation: Neomark Oral Cancer Ontology version 4 (RRID:SCR_010376) Copy   

•   Source: SciCrunch Registry

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

Ontology of neural functional motor recovery.

Proper citation: Neural Motor Recovery Ontology (RRID:SCR_010377) Copy   

•   Source: SciCrunch Registry

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

Species ontology that adopts and integrates relevant portions of available taxonomies as needed based on the species and strain terms represented in the current release of NeuroMorpho.Org (72 terms as of the 5.7 release) and any future additions. When a NeuroMorpho.Org term is mapped with an external resource, its entire lineage (ancestors and descendants) is added to the NeuroMorpho.Org species ontology. The resulting 1,340 terms of this initial version of the ontology come for 65% from the NCBI taxonomy (24 NeuroMorpho.Org species/strain terms mapped), 30% from the Rat Gene Database (1 term mapped), and altogether 5% from NIFSTD (7 terms mapped), MeSH (2 terms mapped), ITIS (1 term mapped), and custom-added concepts (41 terms mapped, largely mouse strains from Jackson Labs).

Proper citation: NeuroMorpho.Org species ontology (RRID:SCR_010378) Copy   

•   Source: SciCrunch Registry

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

Ontology consisting of terms that describe protein chemical modifications, logically linked by an is_a relationship in such a way as to form a direct acyclic graph (DAG). The PSI-MOD ontology has more than 45 top-level nodes, and provides alternative hierarchical paths for classifying protein modifications either by the molecular structure of the modification, or by the amino acid residue that is modified.

Proper citation: Protein Modification Ontology (RRID:SCR_010412) Copy   

•   Source: SciCrunch Registry

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

Collection of ontologies that define the base classes properties, and restrictions used for modeling physical quantities, units of measure, and their dimensions in various measurement systems. The goal of the QUDT ontology is to provide a unified model of, measurable quantities, units for measuring different kinds of quantities, the numerical values of quantities in different units of measure and the data structures and data types used to store and manipulate these objects in software. This OWL schema is a foundation for a basic treatment of units.

Proper citation: QUDT (RRID:SCR_010416) Copy   

•   Source: SciCrunch Registry

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

Ontology to establish data exchange standards and common data elements in the microRNA (miR) domain. Biologists (cell biologists in particular) and bioinformaticians can make use of OMIT to leverage emerging semantic technologies in knowledge acquisition and discovery for more effective identification of important roles performed by miRs in humans'' various diseases and biological processes (usually through miRs'' respective target genes). OMIT has reused and extended a set of well-established concepts from existing bio-ontologies, e.g., Gene Ontology, Sequence Ontology, Protein Ontology, NCBI Organism Taxonomy, Human Disease Ontology, Foundational Model of Anatomy, and so forth.

Proper citation: Ontology for MicroRNA Target Prediction (RRID:SCR_010387) Copy   

•   Source: SciCrunch Registry

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

Ontology in the domain of role classification that aims to standardize role classification and support computer-assisted reasoning. RoleO is a community-based ontology, and its development follows the OBO Foundry principles.

Proper citation: Role Ontology (RRID:SCR_010420) Copy   

•   Source: SciCrunch Registry

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

Ontologies designed as a set of interoperable ontologies that will together provide coverage of the infectious disease domain. At the core of the set is a general Infectious Disease Ontology (IDO-Core) of entities relevant to both biomedical and clinical aspects of most infectious diseases. Sub-domain specific extensions of IDO-Core complete the set providing ontology coverage of entities relevant to specific pathogens or diseases. Please note: The ontology metrics displayed by BioPortal do not distinguish IDO-developed terms from terms imported from other ontologies.

Proper citation: Infectious Disease Ontology (RRID:SCR_010345) Copy   

•   Source: SciCrunch Registry

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

A system of classifications to enable systematic description of how injuries occur. It is designed especially to assist injury prevention. It was originally designed for use in settings in which information is recorded in a way that allows statistical reporting--for example, injury surveillance based on collection of information about cases attending a sample of hospital emergency departments. It has also been found useful for other purposes. For example, it has been used as a reference classification during revision of another classification, to record risk-factor exposure of children in a cohort study, as the basis for special-purpose classifications and in a growing number of other ways.

Proper citation: International Classification of External Causes of Injuries (RRID:SCR_010348) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/ICD10CM

Ontology of the International Classification of Diseases, 10th Edition, Clinical Modification, 2011_01

Proper citation: International Classification of Diseases Version 10 - Clinical Modification (RRID:SCR_010350) Copy   

•   Source: SciCrunch Registry

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

THIS RESOURCE IS NO LONGER IN SERVICE, documented on April 23, 2014. Description not available.

Proper citation: Maize Gross Anatomy Ontology (RRID:SCR_010353) Copy   

•   Source: SciCrunch Registry

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

Ontology that contains terms necessary for describing and categorizing concepts related to Major Histocompatibility Complex, in general, for a number of model species, and also for humans.

Proper citation: Major Histocompatibility Complex Ontology (RRID:SCR_010354) Copy   

•   Source: SciCrunch Registry

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

Structured controlled vocabulary for describing meta information of microbial calture collection maintained in biological research centers

Proper citation: Microbial Culture Collection Vocabulary (RRID:SCR_010361) Copy   

•   Source: SciCrunch Registry

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

Ontology providing an RDF representation of the MIxS (Minimal Information about any Sequence) family of checklists.

Proper citation: Minimal Information about any Sequence Ontology (RRID:SCR_010364) Copy   

•   Source: SciCrunch Registry

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

Ontology that contains the former BIRNLex-Disease, version 1.3.2. -- The BIRN Project lexicon provided entities for data and database annotation for the BIRN project, covering anatomy, disease, data collection, project management and experimental design. It was built using the organizational framework provided by the foundational Basic Formal Ontology (BFO). It used an abstract biomedical layer on top of that - OBO-UBO which was constructed as a proposal to the OBO Foundry. This was meant to support creating a sharable view of core biomedical objects such as biomaterial_entity, and organismal_entity that all biomedical ontologies are likely to need and want to use with the same intended meaning. The BIRNLex biomaterial entities have already been factored to separately maintained ontology - BIRNLexBiomaterialEntity.owl which this BIRNLex-Main.owl file imports. The Ontology of Biomedical Investigation (OBI) is also imported and forms the foundation for the formal description of all experiment-related artifacts. The BIRNLex will serve as the basis for construction of a formal ontology for the multiscale investigation of neurological disease.

Proper citation: NIF Dysfunction Ontlogy (RRID:SCR_010365) Copy   

•   Source: SciCrunch Registry

http://uberon.org

An integrated cross-species anatomy ontology representing a variety of entities classified according to traditional anatomical criteria such as structure, function and developmental lineage. The ontology includes comprehensive relationships to taxon-specific anatomical ontologies, allowing integration of functional, phenotype and expression data. Uberon consists of over 10000 classes (March 2014) representing structures that are shared across a variety of metazoans. The majority of these classes are chordate specific, and there is large bias towards model organisms and human.

Proper citation: UBERON (RRID:SCR_010668) Copy   

•   Source: SciCrunch Registry

http://bioportal.bioontology.org/annotator

A Web service that annotates textual metadata (e.g. journal abstract) with relevant ontology concepts. NCBO uses this Web service to annotate resources in the NCBO Resource Index. They also provide this Web service as a stand-alone service for users. This Web service can be accessed through BioPortal or used directly in your software. Currently, the annotation workflow is based on syntactic concept recognition (using concept names and synonyms) and on a set of semantic expansion algorithms that leverage the semantics in ontologies (e.g., is_a relations). Their service methodology leverages ontologies to create annotations of raw text and returns them using semantic web standards.

Proper citation: NCBO Annotator (RRID:SCR_005329) Copy   

•   Source: SciCrunch Registry

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

A web ontology for the semantic representation of the computer assisted brain trauma rehabilitation domain. This is a novel and emerging domain, since it employs the use of robotic devices, adaptation software and machine learning to facilitate interactive, adaptive and personalized rehabilitation care, patient monitoring and assisted living.

Proper citation: Computer Assisted Brain Injury Rehabilitation Ontology (RRID:SCR_005288) Copy   

•   Source: SciCrunch Registry