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

THIS RESOURCE IS NO LONGER IN SERVICE, documented on April 23, 2014. Ontology that defines core relations used in all OBO ontologies. Obsolete. Replaced with RO.

Proper citation: Open Biological and Biomedical Ontologies Relationship Types (RRID:SCR_004409) Copy   

•   Source: SciCrunch Registry

http://www.informatics.jax.org/searches/MP_form.shtml

Community ontology to provide standard terms for annotating mammalian phenotypic data. It has a hierarchical structure that permits a range of detail from high-level, broadly descriptive terms to very low-level, highly specific terms. This range is useful for annotating phenotypic data to the level of detail known and for searching for this information using either broad or specific terms as search criteria. Your input is welcome.

Proper citation: MPO (RRID:SCR_004855) Copy   

•   Source: SciCrunch Registry

http://www.nlm.nih.gov/mesh

A controlled vocabulary thesaurus that consists of sets of terms naming descriptors in a hierarchical structure that permits searching at various levels of specificity. MeSH, in machine-readable form, is provided at no charge via electronic means. MeSH descriptors are arranged in both an alphabetic and a hierarchical structure. At the most general level of the hierarchical structure are very broad headings such as Anatomy or Mental Disorders. More specific headings are found at more narrow levels of the twelve-level hierarchy, such as Ankle and Conduct Disorder. There are 27,149 descriptors in 2014 MeSH. There are also over 218,000 entry terms that assist in finding the most appropriate MeSH Heading, for example, Vitamin C is an entry term to Ascorbic Acid. In addition to these headings, there are more than 219,000 headings called Supplementary Concept Records (formerly Supplementary Chemical Records) within a separate thesaurus. The MeSH thesaurus is used by NLM for indexing articles from 5,400 of the world''''s leading biomedical journals for the MEDLINE/PubMED database. It is also used for the NLM-produced database that includes cataloging of books, documents, and audiovisuals acquired by the Library. Each bibliographic reference is associated with a set of MeSH terms that describe the content of the item. Similarly, search queries use MeSH vocabulary to find items on a desired topic.

Proper citation: MeSH (RRID:SCR_004750) Copy   

•   Source: SciCrunch Registry

http://www.obofoundry.org/ontology/pato.html

Ontology of phenotypic qualities, intended for use in a number of applications, primarily defining composite phenotypes and phenotype annotation. The new PATO differs from the old in that the system of attributes and values has been abandoned in favor of a single hierarchy of qualities. PATO is designed to be used in conjunction with ontologies of quality-bearing entities. An example of such an entity is an insect eye (taken from the fly_anatomy ontology), which could be the bearer of the quality ''red'' (PATO:0000322). This combination is the red eye phenotype. We say that the phenotype term is ''post-coordinated'', as it is formed by coordinating two terms together. This is in contrast to ontologies of pre-coordinated phenotypes, such as the Mammalian Phenotype (MP) ontology. PATO is independent of any exchange format or database schema. One way of expressing phenotype annotation using PATO is pheno-syntax, or pheno-xml. They will also post recommendations for representing phenotypes using OWL. All representations share the same basic formal underpinnings, a combination of quality-bearing entity and a quality (the EQ model).

Proper citation: PATO (RRID:SCR_004782) Copy   

•   Source: SciCrunch Registry

http://www.ifomis.org/bfo

A small, upper level ontology that is designed for use in supporting information retrieval, analysis and integration in scientific and other domains. BFO is a genuine upper integration in scientific and other domains. Thus it does not contain physical, chemical, biological or other terms which would properly fall within the coverage domains of the special sciences.

Proper citation: BFO (RRID:SCR_004818) Copy   

•   Source: SciCrunch Registry

https://genenames.org

Only worldwide authority that provides standardized nomenclature, i.e. gene names and symbols (short form abbreviations), for all known human genes, and stores all approved symbols in the HGNC database. Approved human gene nomenclature. Database of gene symbols and names. Manually curated genes into groups based on shared characteristics such as homology, function or phenotype. Data for protein-coding genes, pseudogenes and non-coding RNAs.

Proper citation: HGNC (RRID:SCR_002827) Copy   

•   Source: SciCrunch Registry

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

Ontology of the international classification for nursing practice.

Proper citation: International Classification for Nursing Practice (RRID:SCR_003099) Copy   

•   Source: SciCrunch Registry

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

An ontology for spider comparative biology including anatomical parts (e.g. leg, claw), behavior (e.g. courtship, combing) and products (i.g. silk, web, borrow).

Proper citation: Spider Ontology (RRID:SCR_003117) Copy   

•   Source: SciCrunch Registry

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

Ontology to enable curation of chemical-gene and chemical-protein interactions for the Comparative Toxicogenomics Database (CTD), a freely available resource that aims to promote understanding and novel hypothesis development about the effects of the environment on human health.

Proper citation: Interaction Ontology (RRID:SCR_003055) Copy   

•   Source: SciCrunch Registry

http://code.google.com/p/mental-functioning-ontology/

An ontology for mental functioning, including mental processes such as cognition and traits such as intelligence, and related diseases and disorders. It is developed in the context of the Ontology for General Medical Science and the Basic Formal Ontology. The project is being developed in collaboration between the University of Geneva, Switzerland, and the University at Buffalo, USA. The project is being developed with full involvement of all relevant communities, following best practices laid out by the OBO Foundry. Efforts are currently underway to align with related projects including the Behaviour Ontology, the Cognitive Atlas, the Cognitive Paradigm Ontology and the Neural Electro Magnetic Ontologies.

Proper citation: Mental Functioning Ontology (RRID:SCR_003245) Copy   

•   Source: SciCrunch Registry

https://code.google.com/p/emotion-ontology/

An ontology of affective phenomena such as emotions, moods, appraisals and subjective feelings, designed to support interdisciplinary research by providing unified annotations. The ontology is a domain specialization of the broader Mental Functioning Ontology.

Proper citation: Emotion Ontology (RRID:SCR_003272) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/vtontology/

A controlled vocabulary for the description of traits (measurable or observable characteristics) pertaining to the morphology, physiology, or development of vertebrate organisms.

Proper citation: Vertebrate Trait Ontology (RRID:SCR_003214) Copy   

•   Source: SciCrunch Registry

http://biomodels.net/kisao/

An ontology that classifies algorithms available for the simulation of models in biology, their characteristics and the parameters required for their use.

Proper citation: Kinetic Simulation Algorithm Ontology (RRID:SCR_003361) Copy   

•   Source: SciCrunch Registry

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

An ontology designed to represent the conditions under which physiological and morphological measurements are made both in the clinic and in studies involving humans or model organisms.

Proper citation: Experimental Conditions Ontology (RRID:SCR_003306) Copy   

•   Source: SciCrunch Registry

http://www.bioontology.org

Organization that provides biomedical researchers with online tools and a web portal enabling them to access, review, and integrate disparate ontological resources in all aspects of biomedical investigation and clinical practice. A major focus of the work involves the use of biomedical ontologies to aid in the management and analysis of data derived from complex experiments.

Proper citation: National Center for Biomedical Ontology (RRID:SCR_003304) Copy   

•   Source: SciCrunch Registry

https://bioportal.bioontology.org/ontologies/NEMO/?p=summary

Ontology that describes classes of event-related brain potentials (ERP) and their properties, including spatial, temporal, and functional (cognitive / behavioral) attributes, and data-level attributes (acquisition and analysis parameters). Its aim is to support data sharing, logic-based queries and mapping/integration of patterns across data from different labs, experiment paradigms, and modalities (EEG/MEG).

Proper citation: NEMO Ontology (RRID:SCR_003386) Copy   

•   Source: SciCrunch Registry

https://github.com/egonw/semanticchemistry

An ontology that aims to establish a standard in representing chemical information including chemical structure and the ability to richly describe chemical properties, whether intrinsic or computed. It includes terms for the descriptors commonly used in cheminformatics software applications and the algorithms which generate them.

Proper citation: Chemical Information Ontology (RRID:SCR_003290) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/FB-SP

The taxonomy of the family Drosophilidae (largely after Baechli) and of other taxa referred to in FlyBase.

Proper citation: Fly Taxonomy (RRID:SCR_003317) Copy   

•   Source: SciCrunch Registry

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

A cross-species phenotype and anatomy ontology resulting from combining available anatomy and phenotype ontologies and their definitions. The ontology includes phenotype definitions for yeast, mouse, fish, worm, fly and human phenotypes and diseases.

Proper citation: PhenomeBLAST Ontology (RRID:SCR_005139) Copy   

•   Source: SciCrunch Registry

http://vivoweb.org/

Open source semantic web application that enables the discovery of research and scholarship across disciplines at a particular institution and across institutions by creating a semantic cloud of information that can be searched and browsed. Participants include institutions with local installations of VIVO or those with research discovery and profiling applications that can provide semantic web-compliant data. The information accessible through the national network''''s search and browse capability will therefore reside and be controlled locally within institutional VIVOs or other semantic web applications. The VIVO ontology provides a set of types (classes) and relationships (properties) to represent researchers and the full context of their experience, outputs, interests, accomplishments, and associated institutions. https://wiki.duraspace.org/display/VIVO/VIVO-ISF+Ontology VIVO is populated with detailed profiles of faculty and researchers including information such as publications, teaching, service, and professional affiliations. It also supports browsing and a search function which returns faceted results for rapid retrieval of desired information. The rich semantically structured data in VIVO support and facilitate research discovery. Examples of applications that consume these rich data include: visualizations, enhanced multi-site search through VIVO Search, and applications such as VIVO Searchlight, a browser bookmarklet which uses text content of any webpage to search for relevant VIVO profiles, and the Inter-Institutional Collaboration Explorer, an application which allows visualization of collaborative institutional partners, among others. Institutions are free to participate in the national network by installing and using the application. The application provides linked data via RDF data making users a part of the semantic web! or any other application that provides linked data can be used. Users can also get involved with developing applications that provide enhanced search, new collaboration capabilities, grouping, finding and mapping scientists and their work.

Proper citation: VIVO (RRID:SCR_005246) Copy   

•   Source: SciCrunch Registry