Curator Dashboard

Ontology that describes the medical information necessary for early detection of the oral cancer reoccurrence extracted from the NeoMark Project.

• Resource
• SciCrunch
• 13 years ago - by Anonymous

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.

• Resource
• SciCrunch
• 13 years ago - by Anonymous

An ontology for describing biological activities of natural products.

• Resource
• SciCrunch
• 13 years ago - by Anonymous

Ontology of National Drug File - Reference Terminology Public Inferred Edition, 2008_03_11

• Resource
• SciCrunch
• 13 years ago - by Anonymous

Ontology of the National Drug Data File plus source vocabulary

• Resource
• SciCrunch
• 13 years ago - by Anonymous

A vocabulary for clinical care, translational and basic research, and public information and administrative activities.

• Resource
• SciCrunch
• 13 years ago - by Anonymous

An ontology that represents the basic knowledge of physical, chemical and functional characteristics of nanotechnology as used in cancer diagnosis and therapy.

• Resource
• SciCrunch
• 13 years ago - by Anonymous

Ontology that connects organic name reactions such as the Diels-Alder cyclization and the Cannizzaro reaction to their roles in an organic synthesis.

• Resource
• SciCrunch
• 13 years ago - by Anonymous

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.

• Resource
• SciCrunch
• 13 years ago - by Anonymous

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

• Resource
• SciCrunch
• 13 years ago - by Anonymous

Ontology that contains the former BIRNLex-Disease, version 1.3.2. -- The BIRN Project lexicon provided entities for data and database annotation for the BIRN project, covering anatomy, disease, data collection, project management and experimental design. It was built using the organizational framework provided by the foundational Basic Formal Ontology (BFO). It used an abstract biomedical layer on top of that - OBO-UBO which was constructed as a proposal to the OBO Foundry. This was meant to support creating a sharable view of core biomedical objects such as biomaterial_entity, and organismal_entity that all biomedical ontologies are likely to need and want to use with the same intended meaning. The BIRNLex biomaterial entities have already been factored to separately maintained ontology - BIRNLexBiomaterialEntity.owl which this BIRNLex-Main.owl file imports. The Ontology of Biomedical Investigation (OBI) is also imported and forms the foundation for the formal description of all experiment-related artifacts. The BIRNLex will serve as the basis for construction of a formal ontology for the multiscale investigation of neurological disease.

• Resource
• SciCrunch
• 13 years ago - by Anonymous

Ontology providing an RDF representation of the MIxS (Minimal Information about any Sequence) family of checklists.

• Resource
• SciCrunch
• 13 years ago - by Anonymous

Controlled vocabularies for the MIxS (Minimal Information about any Sequence) family of metadata checklists. See http://gensc.org/gc_wiki/index.php/MIxS for details on the MIxS checklists.

• Resource
• SciCrunch
• 13 years ago - by Anonymous

Ontology that provides a comprehensive description of the existing microbial typing methods for the identification of bacterial Isolates and their classification. Such a description constitutes an universal format for the exchange of information on the microbial typing field, providing a vehicle for the integration of the numerous disparate online databases. In its current version, TyPon describes most used microbial typing methods but it is, and always will be, a work in progress given the constant advances in the microbial typing field.

• Resource
• SciCrunch
• 13 years ago - by Anonymous

Structured controlled vocabulary for describing meta information of microbial calture collection maintained in biological research centers

• Resource
• SciCrunch
• 13 years ago - by Anonymous

An application ontology for microRNAs.

• Resource
• SciCrunch
• 13 years ago - by Anonymous

Ontology for organismal habitats (especially focused on microbes)

• Resource
• SciCrunch
• 13 years ago - by Anonymous

An ontology for metagenome sample metadata that mainly defines predicates.

• Resource
• SciCrunch
• 13 years ago - by Anonymous

Ontology that is a module of the OntoNeuroLOG ontology that covers the field of mental state assessments, i.e. instruments, instrument variables, assessments, and resulting scores, developed in the context of the NeuroLOG project, a french project aiming at integrating distributed heterogeous resources in neuroimaging. It includes a generic domain core ontology, that provides a general model of such entities and a general taxonomy of behavioural, neurosychological and neuroclinical instruments, that can be easily extended to model any particular kind of instrument. It also includes such extensions for 8 relatively standard instruments, namely: (1) the Beck-depression-inventory-(BDI-II), (2) the Expanded-Disability-Status-Scale, (3) the Controlled-oral-word-association-test, (4) the Free-and-Cued-Selective-Reminding-Test-with-Immediate-Recall-16-item-version-(The-Grober-and-Buschke-test), (5) the Mini-Mental-State, (6) the Stroop-color-and-word-test, (7) the Trail-making-test-(TMT), (8) the Wechsler-Adult-Intelligence-Scale-third-edition, (9) the Clinical-Dementia-Rating-scale, (10) the Category-verbal-fluency, (11) the Rey-Osterrieth-Complex-Figure-Test-(CFT).

• Resource
• SciCrunch
• 13 years ago - by Anonymous

Ontology to (i) Provide better account of and better access to medical information through natural languages in order to help physicians in their daily practice, and to (ii) Enhance European cooperation by multilingual access to standardised medical nomenclatures. The major achievements of MENELAS are the realization of its two functional systems: (i) The Document Indexing System encodes free text PDSs into both an internal representation (a set of Conceptual Graphs) and international nomenclature codes (ICD-9-CM). Instances of the Document Indexing System have been realised for French, English and Dutch ; (ii) The Consultation System allows users to access the information contained in PDSs previously indexed by the Document Indexing System. The test domain for the project was coronary diseases. The existing prototype shows promising results for information retrieval from natural language PDSs and for automatically encoding PDSs into an existing classification such as ICD-9-CM. A set of components, tools, knowledge bases and methods has also been produced by the project. These include language-independent ontology and models for the domain of coronary diseases; conceptual description of the relevant ICD-9-CM codes. This ontology includes a top-ontology, a top-domain ontology and a domain ontology (Coronay diseases surgery). The menelas-top ontology here is the part of the whole ontology without any reference to medical domain.

• Resource
• SciCrunch
• 13 years ago - by Anonymous