Curator Dashboard

Ontology for Image and Data Quality Assessment for scientific data management.

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• SciCrunch
• 13 years ago - by Anonymous

Ontology for immunogenetics and immunoinformatics. Provides semantic specification of terms to be used in immunogenetics and immunoinformatics and manages related knowledge, thus allowing standardization for immunogenetics data from genome, proteome, genetics, two-dimensional (2D) and three-dimensional (3D) structures. Manages the knowledge through diverse facets relying on seven axioms, IDENTIFICATION, CLASSIFICATION, DESCRIPTION, NUMEROTATION, LOCALIZATION, ORIENTATION and OBTENTION. These axioms postulate that any object, any process and any relation can be identified, classified, described, numbered, localized and orientated, and the way it is obtained can be characterized. The axioms constitute the Formal IMGT-ONTOLOGY, also designated as IMGT-Kaleidoscope. As the same axioms can be used to generate concepts for multi-scale level approaches, the Formal IMGT-ONTOLOGY represents a paradigm for system biology ontologies, which need to identify, to classify, to describe, to number, to localize and to orientate objects, processes and relations at the molecule, cell, tissue, organ, organism or population levels. IMGT, the international ImMunoGeneTics information system, has been built on IMGT-ONTOLOGY. The version 1.0.2 of IMGT-ONTOLOGY includes the concepts of IDENTIFICATION and the concepts of CLASSIFICATION.

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• SciCrunch
• 13 years ago - by Anonymous

Ontology of logical observation identifier names and codes (LOINC); Version 2.26; January 2, 2009

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• SciCrunch
• 13 years ago - by Anonymous

Ontology as a basis for shared semantics and interoperability of simulations, of models, of algorithms and of other resources in this domain. The ontology is based on the Basic Formal Ontology, and adheres to the MIREOT principles.

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• SciCrunch
• 13 years ago - by Anonymous

An Interaction Network Ontology (INO) extension for the domain of human interaction networks. It has currently incoporated Reactome reactions and pathways. Like INO, HINO aligns with BFO. HINO is developed by following the OBO Foundry principles.

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• SciCrunch
• 13 years ago - by Anonymous

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 timed version of the human developmental anatomy ontology gives all the tissues present at each Carnegie Stage (CS) of human development (1-20) linked by a part-of rule. Each term is mentioned only once so that the embryo at each stage can be seen as the simple sum of its parts. Users should note that tissues that are symmetric (e.g. eyes, ears, limbs) are only mentioned once.

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• SciCrunch
• 13 years ago - by Anonymous

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.

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• SciCrunch
• 13 years ago - by Anonymous

Ontology for the data types used in the creation of HL7 (Health Level Seven International) V3 specifications. This version is the first update to Normative RIM, Release 3. It is based on changes approved in Harmonization in November 2010. This release of the RIM is bound to HL7 Abstract Data Types Release 2. https://www.hl7.org/implement/standards/product_brief.cfm?product_id=264

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• SciCrunch
• 13 years ago - by Anonymous

Ontology for standardized health outcome and health determinant indicators as maintained by the CDC National Center for Health Statistics.

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• SciCrunch
• 13 years ago - by Anonymous

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.

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• SciCrunch
• 13 years ago - by Anonymous

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).

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• SciCrunch
• 13 years ago - by Anonymous

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

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• SciCrunch
• 13 years ago - by Anonymous

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)

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• SciCrunch
• 13 years ago - by Anonymous

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.

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• SciCrunch
• 13 years ago - by Anonymous

A biological core ontology built on the General Formal Ontology.

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• SciCrunch
• 13 years ago - by Anonymous

A top-level ontology integrating objects and processes.

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• SciCrunch
• 13 years ago - by Anonymous

An extension of the Gene Ontology.

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• SciCrunch
• 13 years ago - by Anonymous

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.

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• SciCrunch
• 13 years ago - by Anonymous

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

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• SciCrunch
• 13 years ago - by Anonymous

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.

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• SciCrunch
• 13 years ago - by Anonymous