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

A web ontology for the semantic representation of the computer assisted brain trauma rehabilitation domain. This is a novel and emerging domain, since it employs the use of robotic devices, adaptation software and machine learning to facilitate interactive, adaptive and personalized rehabilitation care, patient monitoring and assisted living.

Proper citation: Computer Assisted Brain Injury Rehabilitation Ontology (RRID:SCR_005288) Copy   

•   Source: SciCrunch Registry

http://bmir.stanford.edu/

Mark Musen''s laboratory studies components for building knowledge-based systems, controlled terminologies and ontologies, and technology for the Semantic Web. For more than two decades, Musen''s group has worked to elucidate reusable building blocks of intelligent systems, and to develop scalable computational architectures for systems with significant applications in biomedicine. Informatics is the study of information: its structure, its communication, and its use. As society becomes increasingly information intensive, the need to understand, create, and apply new methods for modeling, managing, and acquiring information has never been greater especially in biomedicine. BMIR is home to world class scientists and trainees developing cutting-edge ways to acquire, represent, process, and manage knowledge and data related to health, health care, and the biomedical sciences. Our faculty, students, and staff are committed to ensuring the biomedical community is properly equipped for the information age, and believe our efforts will provide the structure for the burgeoning revolution of health care and the biomedical sciences.

Proper citation: Stanford Center for Biomedical Informatics Research (RRID:SCR_005698) Copy   

•   Source: SciCrunch Registry

http://www.clo-ontology.org/

A community-driven ontology that is developed to standardize and integrate cell line information and support computer-assisted reasoning. Its focus is on permanent cell lines from culture collections. Upper ontology structures that frame the skeleton of CLO include Basic Formal Ontology and Relation Ontology. Cell lines contained in CLO are associated with terms from other ontologies such as Cell Type Ontology, NCBI Taxonomy, and Ontology for Biomedical Investigation. A common design pattern for the cell line is used to model cell lines and their attributes, the Jurkat cell line provides ane xample. Currently CLO contains over 36,000 cell line entries obtained from ATCC, HyperCLDB, Coriell, and bymanual curation. The cell lines are derived from 194 cell types, 656 anatomical entries, and 217 organisms. The OWL-based CLO is machine-readable and can be used in various applications. The CLO development has become a community effort with international collaborations. The development consortium includes experts from all over the world: the USA, Europe, and Japan.

Proper citation: Cell Line Ontology (RRID:SCR_005840) 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/ADW

An ontology for animal life history and natural history characteristics suitable for populations and higher taxonomic entities.

Proper citation: Animal Natural History and Life History Ontology (RRID:SCR_010292) Copy   

•   Source: SciCrunch Registry

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

Ontology for coding, filing, and retrieving post-marketing adverse drug and biologic experience reports. It is organized in body system and pathophysiology hierarchies, as well as a separate fetal/neonatal category of less than 20 terms. COSTART has been superseded by the Medical Dictionary for Regulatory Activities (MedDRA) Terminology. For more information about MedDRA in the Metathesaurus, see the MedDRA source synopsis. COSTART was last updated in the Metathesaurus in 1999.

Proper citation: Coding Symbols for a Thesaurus of Adverse Reaction Terms (RRID:SCR_010294) Copy   

•   Source: SciCrunch Registry

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

Ontology that is an automatic translation of the NCBI taxonomy (a taxonomic classification of living organisms and associated artifacts) database into obo/owl.

Proper citation: NCBITaxon (RRID:SCR_000479) Copy   

•   Source: SciCrunch Registry

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

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.

Proper citation: Habronattus Courtship Ontology (RRID:SCR_010334) Copy   

•   Source: SciCrunch Registry

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

Ontology that facilitates representing the family health histories of persons related by biological and/or social family relationships (e.g. step, adoptive) who share genetic, behavioral, and/or environmental risk factors for disease. SWRL rules are included to compute 3 generations of biological relationships based on parentage and family history findings based on personal health findings.

Proper citation: Family Health History Ontology (RRID:SCR_010068) Copy   

•   Source: SciCrunch Registry