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https://blog.phenoscape.org/2008/05/14/the-teleost-taxonomy-ontology/

An ontology of taxonomic terms (names of taxonomic groups) used in the systematics of fish, including non-teleost groups such as Chondrichthys (sharks and rays), Sarcopterygii (lungfish and coelacanths), lampreys, and hagfish. It contains (as of August 2010) over 38,500 names, and over 44,000 taxonomic synonyms. A majority of the taxonomic names and synonyms were made available from the Catalog of Fishes. In July 2010 they added nearly 15,000 common names provided by Fishbase. Additional names and synonyms are added as a result of their curation activities. The ontology is being used to facilitate annotation of phenotypes, particularly for taxa that are not covered by NCBI because no submissions of molecular data have been made. Taxonomy ontologies can also be valuable in annotating legacy data, where authors make phenotype or ecological assertions (e.g., host-parasite associations) that refer to groups that are reorganized or no longer recognized. The taxonomy ontology serves as the source of taxa for their project's use for identifying evolutionary changes that match the phenotype of a zebrafish mutant.

Proper citation: Teleost Taxonomy Ontology (RRID:SCR_001611) 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://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/CBO

Ontology that describes multi-cell computational models. In particular to describe both the existential behaviors of cells (spatiality, growth, movement, adhesion, death, ...) and computational models of those behaviors.

Proper citation: Cell Behavior Ontology (RRID:SCR_007055) Copy   

•   Source: SciCrunch Registry

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

Ontology that represents CTX phenotypes, genetic variants, and bidirectional relationships between them though a patient model. The CTX ontology was built reusing the Human Phenotype Ontology (HPO) and the Snomed ct ontologies. A set of temporal clinical manifestations are semantically annotated with a domain phenotype ontology and registered with a time-stamped value.

Proper citation: Cerebrotendinous Xanthomatosis Ontology (RRID:SCR_007067) 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://purl.bioontology.org/ontology/CAO

Ontology designed for supporting the COG enrichment study by using Fisher''s exact test

Proper citation: Clusters of Orthologous Groups Analysis Ontology (RRID:SCR_007232) 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://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://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://purl.bioontology.org/ontology/ADO

An open, public ontology representing relevant knowledge on Alzheimer's disease.

Proper citation: Alzheimer's disease ontology (RRID:SCR_010289) Copy   

•   Source: SciCrunch Registry

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

A structured controlled vocabulary for the anatomy of fungi.

Proper citation: Fungal Gross Anatomy Ontology (RRID:SCR_010322) Copy   

•   Source: SciCrunch Registry

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

A structured controlled vocabulary of stage-specific anatomical structures of the human. It has been designed to mesh with the mouse anatomy and incorporates each Carnegie stage of development (CS1-20). The abstract version of the human developmental anatomy ontology compresses all the tissues present over Carnegie stages 1-20 into a single hierarchy. The heart, for example, is present from Carnegie Stage 9 onwards and is thus represented by 12 EHDA IDs (one for each stage). In the abstract mouse, it has a single ID so that the abstract term given as just ''heart'' really means ''heart (CS 9-20)''. Timing details will be added to the abstract version of the ontology in a future release.

Proper citation: Human Developmental Anatomy Ontology abstract version 1 (RRID:SCR_010323) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/BAO-GPCR

Ontology (http://www.bioassayontology.org/bao_gpcr) that describes pharmacology, biochemistry and physiology of these important and therapeutically promising class of academic and pharmaceutical research targets. Incorporation and comparison of various small molecule screening data sets, such as those deposited in PubChem, ChEMBL, KEGG, PDSP, and/or IUPHAR databases, requires a formalized electronic organization system. In order to bridge the gap between the overflow of HTS data and the bottleneck of integrated analysis tools, herein, we provide the first comprehensive GPCR ontology. The development and utility of GPCR ontology was based on previously developed BioAssay Ontology (BAO). The GPCR ontology contains information about biochemical, pharmacological, and functional properties of individual GPCRs as well as GPCR-selective ligands inclusive of their HTS screening results and other records. This provides the first all-inclusive GPCR ontology with all available data to model the relationship between the GPCR binding sites and their physiologic and pharmacologic role in physiology via small molecule chemical structures. We developed this system using emerging semantic technologies, by leveraging existing and descriptive domain level ontologies.

Proper citation: G Protein-Coupled Receptor BioAssays Ontology (RRID:SCR_010324) Copy   

•   Source: SciCrunch Registry

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

A translation of the full Galen ontology (from the OpenGALEN project) into the OWL description logic.

Proper citation: Galen Ontology (RRID:SCR_010325) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/GO-EXT

An extension of the Gene Ontology.

Proper citation: Gene Ontology Extension (RRID:SCR_010327) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/GENE-CDS

Ontology to unify several functionalities in a single resource, being: * A knowledge base for clinical pharmacogenomics/pharmacogenetics that can be used for question-answering (e.g., which SNPs are associated with this drug?) * A rule base for clinical decision support (e.g., inferring that a patient with a specific set of SNPs requires a lowered dose of warfarin and generating a CDS message that can be viewed by clinicians) * A tool for checking data consistency (e.g., highlighting which allele definitions in PharmGKB are overlapping, or which clinical decision support rules are matching the same group of patients)

Proper citation: Genomic Clinical Decision Support Ontology (RRID:SCR_010331) Copy   

•   Source: SciCrunch Registry

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

Ontology that includes crop-specific trait ontologies for several economically important plants like rice, wheat, maize, potato, musa, chickpea and sorghum along with other important domains for crop research such as germplasm, passport, trait measurement scales, experimental design factors etc.

Proper citation: Crop Ontology (RRID:SCR_010299) Copy   

•   Source: SciCrunch Registry

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

Ontology to help integrate species concepts with species occurrences, gene sequences, images, references and geographical information. See also Taxonconcept.org

Proper citation: GeoSpecies Ontology (RRID:SCR_010332) Copy   

•   Source: SciCrunch Registry