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http://archive.gramene.org/plant_ontology/ontology_browse.html#to

A controlled vocabulary to describe phenotypic traits in plants. Each trait is a distinguishable feature, characteristic, quality or phenotypic feature of a developing or mature plant, or a plant part.

Proper citation: Plant Trait Ontology (RRID:SCR_003461) 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

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

An ontology that includes both extinct and extant vertebrates, aiming to provide one comprehensive hierarchy. The hierarchy backbone for extant taxa is based on the NCBI taxonomy. Since the NCBI taxonomy only includes species associated with archived genetic data, to complement this, they also incorporate taxonomic information across the vertebrates from the Paleobiology Database (PaleoDB). The Teleost Taxonomy Ontology (TTO) and AmphibiaWeb (AWeb) are incorporated to provide a more authoritative hierarchy and a richer set of names for specific taxonomic groups.

Proper citation: Vertebrate Taxonomy Ontology (RRID:SCR_003518) 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/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/AMINO-ACID

An ontology of amino acids and their properties. Inferred version.

Proper citation: Amino Acid Ontology (RRID:SCR_010290) Copy   

•   Source: SciCrunch Registry

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

Biochemical Substructure Ontology

Proper citation: Biochemical Substructure Ontology (RRID:SCR_010185) Copy   

•   Source: SciCrunch Registry

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

Ontology of the AURA + Inquire project at SRI International, Menlo Park.

Proper citation: KB Bio 101 (RRID:SCR_010268) Copy   

•   Source: SciCrunch Registry

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

Ontology of current procedural terminology.

Proper citation: Current Procedural Terminology (RRID:SCR_010301) Copy   

•   Source: SciCrunch Registry

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

A bilingual (English-French) domain ontology for modeling knowledge about Alzheimer's Disease and Related Syndromes.

Proper citation: Bilingual Ontology of Alzheimer (RRID:SCR_010149) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/ONL-DP

Ontology that is a module of the OntoNeuroLOG ontology, that covers the domain of Datasets and the processing of datasets developed in the context of the NeuroLOG project, a french project aiming at integrating distributed heterogeous resources in neuroimaging. It includes a detailed taxonomy of datasets in the area of neuroimaging (and especially MR imaging) as well as a taxonomy of medical image processing.

Proper citation: Dataset processing (RRID:SCR_010303) Copy   

•   Source: SciCrunch Registry

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

A structured controlled vocabulary for the source of an enzyme. It comprises terms for tissues, cell lines, cell types and cell cultures from uni- and multicellular organisms.

Proper citation: BRENDA Tissue and Enzyme Source Ontology (RRID:SCR_010031) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/AI-RHEUM

Ontology used for the diagnosis of rheumatologic diseases. AI/RHEUM contains findings, such as clinical signs, symptoms, laboratory test results, radiologic observations, tissue biopsy results, and intermediate diagnosis hypotheses. Findings and hypotheses, which include definitions, are used to reach diagnostic conclusions with definite, probable, or possible certainty. AI/RHEUM is used by clinicians and informatics researchers.

Proper citation: Artificial Intelligence Rheumatology Consultant System Ontology (RRID:SCR_010274) Copy   

•   Source: SciCrunch Registry