Tools   Select Another Resource Report Type

http://purl.bioontology.org/ontology/ACGT-MO

Ontology to represent the domain of cancer research and management in a computationally tractable manner.

Proper citation: Cancer Research and Management ACGT Master Ontology (RRID:SCR_006953) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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

An application ontology for the domain of gene expression regulation. The ontology integrates fragments of GO and MI with data from GOA, IntAct, UniProt, NCBI, KEGG and orthology relations.

Proper citation: Regulation of Gene Expression Ontolology (RRID:SCR_006124) Copy   

•   Source: SciCrunch Registry

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

Ontology for livestock reproductive traits and phenotypes

Proper citation: Reproductive Trait and Phenotype Ontology (RRID:SCR_006245) Copy   

•   Source: SciCrunch Registry

http://www.ebi.ac.uk/sbo/

A set of controlled, relational vocabularies of terms commonly used in Systems Biology, and in particular in computational modeling. The ontology consists of seven orthogonal vocabularies defining: the roles of reaction participants (eg. substrate), quantitative parameters (eg. Michaelis constant), a precise classification of mathematical expressions that describe the system (eg. mass action rate law), the modeling framework used (eg. logical framework), and a branch each to describe entity (eg. macromolecule) and interaction (eg. process) types, and a branch to define the different types of metadata that may be present within a model. SBO terms can be used to introduce a layer of semantic information into the standard description of a model, or to annotate the results of biochemical experiments in order to facilitate their efficient reuse. SBO is an Open Biomedical Ontologies (OBO) candidate ontology, and is free for use. A programmatic access to the content of the Systems Biology Ontology is provided by Web Services.

Proper citation: SBO (RRID:SCR_006753) Copy   

•   Source: SciCrunch Registry

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

Ontology for the description of student health records. Student health records are created for entering college students in order to provide better health services will be formed. This file contains various sections such as history of disease, family history of disease, public examinations and ... .

Proper citation: Student Health Record Ontology (RRID:SCR_005854) Copy   

•   Source: SciCrunch Registry

http://code.google.com/p/behavior-ontology

An ontology consisting of two main components, an ontology of behavioral processes and an ontology of behavioral phenotypes. The behavioral process branch of NBO contains a classification of behavior processes complementing and extending the GO process ontology. The behavior phenotype branch of NBO consists of a classification of both normal and abnormal behavioral characteristics of organisms. The prime application of NBO is to provide the vocabulary that is required to integrate behavior observations within and across species. It is currently being applied by several model organism communities as well as in the description of human behavior-related disease phenotypes. The main ontology is available in both the OBO Flatfile Format and the Web Ontology Language (OWL).

Proper citation: Neurobehavior Ontology (RRID:SCR_006201) Copy   

•   Source: SciCrunch Registry

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

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.

Proper citation: Human Developmental Anatomy Ontology timed version (RRID:SCR_010338) Copy   

•   Source: SciCrunch Registry

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

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.

Proper citation: Human Physiology Simulation Ontology (RRID:SCR_010340) Copy   

•   Source: SciCrunch Registry

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

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

Proper citation: Logical Observation Identifier Names and Codes (RRID:SCR_010341) Copy   

•   Source: SciCrunch Registry

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

DICOM Controlled Terminology (PS3.16 2013 Annex D)

Proper citation: DICOM Controlled Terminology (RRID:SCR_010302) Copy   

•   Source: SciCrunch Registry

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

A computational diagnostic ontology containing 91 elements, including classes and sub-classes, which are required to conduct SR-MA (Systematic Review - Meta Analysis) for diagnostic studies, that will assist in standardized reporting of diagnostic articles. They also report high percentage of agreement among five observers as a result of the inter-observer agreement that they conducted among them to tag 13 articles using the diagnostic ontology. Moreover, they extend their existing repository CERR-N (Center of Excellence in Research Reporting in Neurosurgery) to include diagnostic studies.

Proper citation: Diagnostic Ontology (RRID:SCR_010307) Copy   

•   Source: SciCrunch Registry

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

A high level patient-centric ontology for the pharmaceutical industry. The ontology should enable silos in discovery research, hypothesis management, experimental studies, compounds, formulation, drug development, market size, competitive data, population data, etc. to be brought together. This would enable scientists to answer new questions, and to answer existing scientific questions more quickly. This will help pharmaceutical companies to model patient-centric information, which is essential for the tailoring of drugs, and for early detection of compounds that may have sub-optimal safety profiles. The ontology should link to existing publicly available domain ontologies.

Proper citation: Translational Medicine Ontology (RRID:SCR_010439) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/BP-METADATA

Ontology that represents the structure that BioPortal uses to represent all of its metadata (ontology details, mappings, notes, reviews, views)

Proper citation: BioPortal Metadata Ontology (RRID:SCR_010167) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry