We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
Ontology for standardized health outcome and health determinant indicators as maintained by the CDC National Center for Health Statistics.
An ontology for courtship behavior of the spider Habronattus californicus. A demonstration of ontology construction as a general technique for coding ethograms and other descriptions of behavior into machine understandable forms.
Ontology that provides an up-to-date knowledge base of experimentally verified glycan structures. Glycan (oligosaccharide or polysaccharide) structures are represented as trees of monosaccharide residues. Linkage to proteins and lipids is supported as well. Insertion of a new glycan is controlled by curation process that includes matching the new glycan against a canonical glyco-tree (a highly branched representation for a family of glycans).
Ontology to help integrate species concepts with species occurrences, gene sequences, images, references and geographical information. See also Taxonconcept.org
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)
Ontology to define the abstract division of the total genetic information of an organism by its physical separation into different components, thereby providing a high level reference point to which more specific descriptions of the characteristics of these components can be linked.
A biological core ontology built on the General Formal Ontology.
A top-level ontology integrating objects and processes.
An extension of the Gene Ontology.
An application ontology for the domain of gene expression. The ontology integrates fragments of GO and MI with data from GOA, IntAct, UniProt, NCBI, KEGG and orthology relations.
A translation of the full Galen ontology (from the OpenGALEN project) into the OWL description logic.
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.
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.
A structured controlled vocabulary for the anatomy of fungi.
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
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.
An application ontology devoted to the standardized recording of data related to Fanconi Anemia (FA). This ontology was created using an OWL file provided by Dr. Ada Hamish (and Francois Schiettecatte) at the Centers for Mendelian Genetics, with their permission. Their original ontology can be found at: http://phenodb.net/help/features. Modifications were made using HPO, OMIM, NCI, and SNOMED. Novel classes pertaining to FA were added and defined as appropriate.
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.
Ontology about the epilepsy domain and epileptic seizures. Based on the diagnosis proposed by the International League Against Epilepsy (ILAE).
An enzyme ontology that deals with partial reactions (transformations)