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http://purl.bioontology.org/ontology/JERM
An ontology to describe the entities and relationships in the SEEK database, a Systems Biology environment for the sharing and exchange of data and models. The SysMO-SEEK database contains the work of the SysMO consortium (Systems Biology of Micro-Organisms) https://seek.sysmo-db.org/
Proper citation: SysMO JERM Ontology of Systems Biology for Micro-Organisms (RRID:SCR_004569) Copy
http://purl.bioontology.org/ontology/EPILONT
Ontology about the epilepsy domain and epileptic seizures. Based on the diagnosis proposed by the International League Against Epilepsy (ILAE).
Proper citation: Epilepsy Ontology (RRID:SCR_010317) Copy
http://purl.bioontology.org/ontology/LHN
An ontology for Loggerhead sea turtle (Caretta caretta) nesting behavior, based on the published ethogram of Hailman and Elowson. A demonstration of ontology construction as a general technique for coding ethograms and other descriptions of behavior into machine understandable forms.
Proper citation: Loggerhead Nesting Ontology (RRID:SCR_010318) Copy
http://purl.bioontology.org/ontology/FIRE
Ontology to represent the set of concepts about the fire occurring in natural vegetation, its characteristics, causes and effects, with focus on Cerrado vegetation domain. The fire plays a determinant role on the structure and composition of Cerrado physiognomies.
Proper citation: Fire Ontology (RRID:SCR_010320) Copy
http://purl.bioontology.org/ontology/FLOPO
Ontology generated from the Flora Malesiana, Flora Gabon, Flora of Central Africa, and a collection of Kew''s African Floras. Every class in the ontology has at least one taxon annotation. This is the pre-classified version of the ontology; the original OWL file is at http://jagannath.pdn.cam.ac.uk/plant/flopo-unclassified.owl
Proper citation: Flora Phenotype Ontology (RRID:SCR_010321) Copy
http://purl.bioontology.org/ontology/NIFSUBCELL
Ontology that contains cell parts and subcellular structures from SAO-CORE and Gene Ontology Cellular Component (GO-CC). http://ontology.neuinfo.org/NIF/BiomaterialEntities/NIF-Subcellular.owl
Proper citation: NIF Subcellular Ontology (RRID:SCR_010366) Copy
http://purl.bioontology.org/ontology/NMR
Metabolomics Standards Initiative-sanctioned ontology, created within the COSMOS EU project, to support the nmrML data standard for nuclear magnetic resonance data in metabolomics with meaningful raw data descriptors.
Proper citation: NMR-Instrument Component of Metabolomics Investigations Ontology (RRID:SCR_010367) Copy
http://purl.bioontology.org/ontology/HOM
Ontology that represents concepts related to homology, as well as other concepts used to describe similarity and non-homology.
Proper citation: Ontology of Homology and Related Concepts in Biology (RRID:SCR_010400) Copy
http://purl.bioontology.org/ontology/RXNO
Ontology that connects organic name reactions such as the Diels-Alder cyclization and the Cannizzaro reaction to their roles in an organic synthesis.
Proper citation: Name Reaction Ontology (RRID:SCR_010368) Copy
http://purl.bioontology.org/ontology/LDA
Ontology of language terms used in the domain of autism available for consultation and sharing. The language terms were obtained via text mining and automatic retrieval of terms from the corpus of PubMed abstracts.
Proper citation: Ontology of Language Disorder in Autism (RRID:SCR_010401) Copy
http://purl.bioontology.org/ontology/PDO
An ontology for describing both human infectious disease caused by bacteria and the disease that is related to bacterial infection.
Proper citation: Pathogenic Disease Ontology (RRID:SCR_010405) Copy
http://purl.bioontology.org/ontology/NDDF
Ontology of the National Drug Data File plus source vocabulary
Proper citation: National Drug Data File (RRID:SCR_010371) Copy
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
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
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
http://purl.bioontology.org/ontology/NEUMORE
Ontology of neural functional motor recovery.
Proper citation: Neural Motor Recovery Ontology (RRID:SCR_010377) Copy
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
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
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
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
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