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http://www.evidenceontology.org
A controlled vocabulary that describes types of scientific evidence within the realm of biological research that can arise from laboratory experiments, computational methods, manual literature curation, and other means. Researchers can use these types of evidence to support assertions about research subjects that result from scientific research, such as scientific conclusions, gene annotations, or other statements of fact. ECO comprises two high-level classes, evidence and assertion method, where evidence is defined as a type of information that is used to support an assertion, and assertion method is defined as a means by which a statement is made about an entity. Together evidence and assertion method can be combined to describe both the support for an assertion and whether that assertion was made by a human being or a computer. However, ECO can not be used to make the assertion itself; for that, one would use another ontology, free text description, or other means. ECO was originally created around the year 2000 to support gene product annotation by the Gene Ontology. Today ECO is used by many groups concerned with provenance in scientific research. ECO is used in AmiGO 2
Proper citation: ECO (RRID:SCR_002477) Copy
http://purl.bioontology.org/ontology/OntoVIP
Ontology that describes the content of the models used in medical image simulation developed in the context of the Virtual Imaging Platform project (VIP), a french project aiming at sharing medical image simulation resources. This ontology can be used to annotate such models in order to highlight the different entities that are present in the 3D scene to be imaged, i.e. anatomical structures, pathological structures, foreign bodies, contrast agents etc. The model allows also to associate to these entities information about their physical qualities, which are used in the medical image simulation process (to mimick physical phenomena involved in CT, MR, US and PET imaging). This ontology partly relies on the OntoNeuroLOG ontology (ONL-DP ONL-MR-DA), as well as PATO, RadLex, FMA and ChEBI.
Proper citation: Medical image simulation (RRID:SCR_010355) Copy
http://purl.bioontology.org/ontology/ONL-MSA
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).
Proper citation: Mental State Assessment (RRID:SCR_010357) Copy
http://purl.bioontology.org/ontology/MSV
An ontology for metagenome sample metadata that mainly defines predicates.
Proper citation: Metagenome Sample Vocabulary (RRID:SCR_010358) Copy
http://purl.bioontology.org/ontology/TGMA
A structured controlled vocabulary of the anatomy of mosquitoes.
Proper citation: Mosquito Gross Anatomy Ontology (RRID:SCR_003839) Copy
http://purl.bioontology.org/ontology/CPTAC
A basic ontology which describes the proteomics pipeline infrastructure for CPTAC project
Proper citation: CPTAC Proteomics Pipeline Infrastructure Ontology (RRID:SCR_006945) Copy
https://bioportal.bioontology.org/ontologies/PCL/
Collection of ontology of provisional cells determined by experimental methods.
Proper citation: Provisional Cell Ontology (RRID:SCR_018332) Copy
http://purl.bioontology.org/ontology/MAMO
Ontology that is a classification of the types of mathematical models used mostly in the life sciences, their variables, relationships and other relevant features.
Proper citation: Mathematical Modelling Ontology (RRID:SCR_000910) Copy
Private, non profit university in Stanford, California, USA for research and undergraduate and graduate studies. Known for its academic strength, wealth, proximity to Silicon Valley, and ranking as one of the world's top universities. Particularly noted for its entrepreneurship and is one of the most successful universities in attracting funding for start-ups.
Proper citation: Stanford University; Stanford; California (RRID:SCR_011538) Copy
https://www.ebi.ac.uk/chebi/beta/
Collection of chemical compounds and other small molecular entities that incorporates an ontological classification of chemical compounds of biological relevance, whereby the relationships between molecular entities or classes of entities and their parents and/or children are specified. The molecular entities in question are either products of nature or synthetic products used to intervene in the processes of living organisms.
Proper citation: CHEBI (RRID:SCR_002088) Copy
https://blog.phenoscape.org/2008/05/14/the-teleost-taxonomy-ontology/
An ontology of taxonomic terms (names of taxonomic groups) used in the systematics of fish, including non-teleost groups such as Chondrichthys (sharks and rays), Sarcopterygii (lungfish and coelacanths), lampreys, and hagfish. It contains (as of August 2010) over 38,500 names, and over 44,000 taxonomic synonyms. A majority of the taxonomic names and synonyms were made available from the Catalog of Fishes. In July 2010 they added nearly 15,000 common names provided by Fishbase. Additional names and synonyms are added as a result of their curation activities. The ontology is being used to facilitate annotation of phenotypes, particularly for taxa that are not covered by NCBI because no submissions of molecular data have been made. Taxonomy ontologies can also be valuable in annotating legacy data, where authors make phenotype or ecological assertions (e.g., host-parasite associations) that refer to groups that are reorganized or no longer recognized. The taxonomy ontology serves as the source of taxa for their project's use for identifying evolutionary changes that match the phenotype of a zebrafish mutant.
Proper citation: Teleost Taxonomy Ontology (RRID:SCR_001611) Copy
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
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
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
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
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
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
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
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
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
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