Tools   Select Another Resource Report Type

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

An ontology that describes the Congenital Heart Defects data.

Proper citation: Congenital Heart Defects Ontology (RRID:SCR_007584) Copy   

•   Source: SciCrunch Registry

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

Memorial Sloan-Kettering Cancer Center''s ontology of surgical secondary events (adverse events).

Proper citation: Surgical Secondary Events (RRID:SCR_007894) 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://purl.bioontology.org/ontology/RCD

Ontology of clinical terms Version 3 (CTV3) (Read Codes) (Q199): National Health Service National Coding and Classification Centre

Proper citation: Read Codes Clinical Terms Version 3 (RRID:SCR_006055) 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/RCTONT

Ontology specifically for Randomized Controlled Trials in order to facilitate the production of systematic reviews and metaanalysis.

Proper citation: Randomized Controlled Trials Ontology (RRID:SCR_005992) Copy   

•   Source: SciCrunch Registry

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

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

Proper citation: Regulation of Transcription Ontology (RRID:SCR_006238) Copy   

•   Source: SciCrunch Registry

http://obi-ontology.org/

An ontology for the description of biological and clinical investigations built with international, collaborative effort. The ontology represents the design of an investigation, the protocols and instrumentation used, the material used, the data generated and the type analysis performed on it. This includes a set of universal terms that are applicable across various biological and technological domains, and domain-specific terms relevant only to a given domain. Currently OBI is being built under the Basic Formal Ontology (BFO). This project was formerly titled the Functional Genomics Investigation Ontology (FuGO) project.

Proper citation: Ontology for Biomedical Investigations (RRID:SCR_006266) Copy   

•   Source: SciCrunch Registry

http://omim.org

Online catalog of human genes and genetic disorders, for clinical features, phenotypes and genes. Collection of human genes and genetic phenotypes, focusing on relationship between phenotype and genotype. Referenced overviews in OMIM contain information on all known mendelian disorders and variety of related genes. It is updated daily, and entries contain copious links to other genetics resources.

Proper citation: OMIM (RRID:SCR_006437) Copy   

•   Source: SciCrunch Registry

http://edamontology.org/

An ontology of bioinformatics operations (tool, application, or workflow functions), types of data including identifiers, topics (application domains), and data formats. The applications of EDAM are within organizing tools and data, finding suitable tools in catalogues, and integrating them into complex applications or workflows. Semantic annotations with EDAM are applicable to diverse entities such as for example Web services, databases, programmatic libraries, standalone tools and toolkits, interactive applications, data schemas, data sets, or publications within bioinformatics. Annotation with EDAM may also contribute to data provenance, and EDAM terms and synonyms can be used in text mining. EDAM - and in particular the EDAM Data sub-ontology - serves also as a markup vocabulary for bioinformatics data on the Semantic Web.

Proper citation: EDAM Ontology (RRID:SCR_006620) Copy   

•   Source: SciCrunch Registry

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

Ontology that provides a comprehensive and formal representation of the different domain concepts involved in documenting the full complexity of the skeletal dysplasia domain. It captures and combines the genetic features that discriminate the bone dysplasias with the multitude of phenotypic characteristics manifested by patients and required to be taken into account in order to support the diagnosis process.

Proper citation: Bone Dysplasia Ontology (RRID:SCR_006588) Copy   

•   Source: SciCrunch Registry

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

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

Proper citation: Gene Expression Ontology (RRID:SCR_010326) Copy   

•   Source: SciCrunch Registry

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

A top-level ontology integrating objects and processes.

Proper citation: General Formal Ontology (RRID:SCR_010328) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/GFO-BIO

A biological core ontology built on the General Formal Ontology.

Proper citation: General Formal Ontology for Biology (RRID:SCR_010329) Copy   

•   Source: SciCrunch Registry

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

Ontology to define the abstract division of the total genetic information of an organism by its physical separation into different components, thereby providing a high level reference point to which more specific descriptions of the characteristics of these components can be linked.

Proper citation: Genome Component Ontology (RRID:SCR_010330) Copy   

•   Source: SciCrunch Registry

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

A core ontology consistent with a metamodel (disorders and groups of disorders, genes, clinical signs and their relations) and an instantiation of this metamodel with Orphanet Data (available on http://orphadata.org). Research experiments demonstrated (i) efficient classifications generation based on SPARQL Construct, (ii) perspectives in semantic audit of a knowledge base, (iii) semantic comparison with OMIM (www.omim.org) using proximity measurements and (iv) opened perspectives in knowledge sharing (LORD, http://lord.bndmr.fr). Current production services of Orphanet developed ORDO, released in 2014, an ontology synchronized with their production database.

Proper citation: Disease core ontology applied to Rare Diseases (RRID:SCR_010308) Copy   

•   Source: SciCrunch Registry

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

Ontology of context-based healthcare access-control policies.

Proper citation: Situation-Based Access Control Ontology (RRID:SCR_010429) Copy   

•   Source: SciCrunch Registry

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

Metathesaurus of current procedural terminalogy (CPT).

Proper citation: Current Procedural Terminalogy Hierarchy (RRID:SCR_010300) Copy   

•   Source: SciCrunch Registry

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

Application ontology covering the domain of newborn screening, follow-up and translational research pertaining to patients diagnosed with inheritable and congenital diseases mainly identified through newborn dried blood spot screening. ONSTR is a central component of the project Newborn Screening Follow-up Data Integration Collaborative (NBSDC), https://nbsdc.org. ONSTR uses the Basic Formal Ontology v2 (BFO2, v2012-07-20) as top-level ontology and extends the classes imported from OBO Foundry ontologies and candidate ontologies.

Proper citation: Ontology for Newborn Screening Follow-up and Translational Research (RRID:SCR_010389) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/OBOE-SBC

Extensible Observation Ontology for the Santa Barbara Coastal Long Term Ecological Research project (SBC-LTER). It extends core concepts defined in the OBOE suite that are particular to the Santa Barbara Coastal Long Term Ecological Research project''s data collection activities. These include specific measurement protocols, sites, etc. This is meant as a case study ontology for the Semtools project.

Proper citation: Santa Barbara Coastal Observation Ontology (RRID:SCR_010424) Copy   

•   Source: SciCrunch Registry