Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
http://code.google.com/p/popcomm-ontology/
An ontology that models material entities, qualities, and processes related to collections of interacting organisms such as populations and communities. It is taxon neutral, and can be used for any species, including humans. The classes in the PCO are useful for describing evolutionary processes, organismal interactions, and ecological experiments. Practical applications of the PCO include community health care, plant pathology, behavioral studies, sociology, and ecology. The PCO is compliant with the Basic Formal Ontology (BFO) and is designed to be compatible with other OBO Foundry ontologies, such as the Gene Ontology (GO), which covers biological processes, and the Phenotypic Quality Ontology (PATO).
Proper citation: Population and Community Ontology (RRID:SCR_003462) Copy
http://archive.gramene.org/plant_ontology/ontology_browse.html#eo
A structured controlled vocabulary for the representation of plant environmental conditions.
Proper citation: Plant Environmental Conditions (RRID:SCR_003460) Copy
http://code.google.com/p/pharmgkb-owl/
An OWL representation of the data in PharmGKB, Comparative Toxicogenomics Database (CTD) and DrugBank and linked to related ontologies: ChEBI ontology, the Human Disease Ontology (DO), the Anatomical Therapeutic Chemical Classification System (ATC) and the Medical Subject Headings Thesaurus (MESH). The combined knowledge base can be exploited using the ELK reasoner.
Proper citation: PharmGKB Ontology (RRID:SCR_003529) Copy
Ontology to describe and categorize chemical biology and drug screening assays and their results including high-throughput screening (HTS) data for the purpose of categorizing assays and data analysis. BAO is an extensible, knowledge-based, highly expressive (currently SHOIQ(D)) description of biological assays making use of descriptive logic based features of the Web Ontology Language (OWL). BAO currently has over 700 classes and also makes use of several other ontologies. It describes several concepts related to biological screening, including Perturbagen, Format, Meta Target, Design, Detection Technology, and Endpoint. Perturbagens are perturbing agents that are screened in an assay; they are mostly small molecules. Assay Meta Target describes what is known about the biological system and / or its components interrogated in the assay (and influenced by the Perturbagen). Meta target can be directly described as a molecular entity (e.g. a purified protein or a protein complex), or indirectly by a biological process or event (e.g. phosphorylation). Format describes the biological or chemical features common to each test condition in the assay and includes biochemical, cell-based, organism-based, and variations thereof. The assay Design describes the assay methodology and implementation of how the perturbation of the biological system is translated into a detectable signal. Detection Technology relates to the physical method and technical details to detect and record a signal. Endpoints are the final HTS results as they are usually published (such as IC50, percent inhibition, etc). BAO has been designed to accommodate multiplexed assays. All main BAO components include multiple levels of sub-categories and specification classes, which are linked via object property relationships forming an expressive knowledge-based representation.
Proper citation: Bioassay Ontology (RRID:SCR_002638) Copy
http://purl.bioontology.org/ontology/GRO-CPD
A structured controlled vocabulary for describing cereal plant development and growth stages. Please note that this ontology has now been superseded by the Plant Ontology.
Proper citation: Cereal Plant Development Ontology (RRID:SCR_005095) Copy
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
Biomedical ontology in the domain of adverse events that aims to standardize adverse event annotation, integrate various adverse event data, and support computer-assisted reasoning. AEO is a community-based ontology. Its development follows the OBO Foundry principles.
Proper citation: Ontology of Adverse Events (RRID:SCR_003428) Copy
http://rgd.mcw.edu/tools/ontology/ont_search.cgi
Ontology that defines hierarchical display of different rat strains as derived from parental strains. Ontology Browser allows to retrieve all genes, QTLs, strains and homologs annotated to particular term. Covers all types of biological pathways including altered and disease pathways, and to capture relationships between them within hierarchical structure. Five nodes of ontology include classic metabolic, regulatory, signaling, drug and disease pathways. Ontology allows for standardized annotation of rat. Serves as vehicle to connect between genes and ontology reports, between reports and interactive pathway diagrams, between pathways that directly connect to one another within diagram or between pathways that in some fashion are globally related in pathway suites and suite networks.
Proper citation: Rat Strain Ontology (RRID:SCR_003449) Copy
A biomedical ontology in the area of vaccine adverse events aimed to represent and analyze various vaccine-specific adverse events. OVAE is an extension of the Ontology of Adverse Events (OAE) and the Vaccine Ontology (VO).
Proper citation: Ontology of Vaccine Adverse Events (RRID:SCR_003442) Copy
http://code.google.com/p/omrse/
An ontology covering the domain of social entities that are related to health care, such as demographic information (social entities for recording gender (but not sex) and marital status, for example) and the roles of various individuals and organizations (patient, hospital, etc.)
Proper citation: Ontology of Medically Related Social Entities (RRID:SCR_003439) Copy
http://purl.bioontology.org/ontology/MEDDRA
Ontology of Medical Dictionary for Regulatory Activities Terminology (MedDRA)
Proper citation: Medical Dictionary for Regulatory Activities (RRID:SCR_003751) Copy
An application focused ontology modelling the experimental factors in ArrayExpress and Gene Expression Atlas. It has been developed to increase the richness of the annotations that are currently made in the ArrayExpress repository, to promote consistent annotation, to facilitate automatic annotation and to integrate external data. The ontology describes cross-product classes from reference ontologies in area such as disease, cell line, cell type and anatomy. The methodology employed in the development of EFO involves construction of mappings to multiple existing domain specific ontologies, such as the Disease Ontology and Cell Type Ontology. This is achieved using a combination of automated and manual curation steps and the use of a phonetic matching algorithm. The ontology is evaluated with use cases from the ArrayExpress repository and ArrayExpress Atlas. You may also browse the EFO in the NCBO Bioportal. Term submissions are welcome.
Proper citation: Experimental Factor Ontology (RRID:SCR_003574) Copy
http://code.google.com/p/adverse-event-reporting-ontology/
An ontology aimed at supporting clinicians at the time of data entry, increasing quality and accuracy of reported adverse events.
Proper citation: Adverse Event Reporting Ontology (RRID:SCR_003571) Copy
http://purl.bioontology.org/ontology/MDCDRG
Ontology of Medical Diagnostic Categories-Diagnosis Related Groups
Proper citation: Medical Diagnostic Categories - Diagnosis Related Groups (RRID:SCR_003725) Copy
A reference terminology and core biomedical ontology for NCI that covers approximately 100,000 key biomedical concepts with terms, codes, definitions, and more than 200,000 inter-concept relationships. It is the reference terminology for NCI, NCI Metathesaurus and NCI informatics infrastructure covering vocabulary for clinical care, translational and basic research, and public information and administrative activities. It includes broad coverage of the cancer domain, including cancer related diseases, findings and abnormalities; anatomy; agents, drugs and chemicals; genes and gene products and so on. In certain areas, like cancer diseases and combination chemotherapies, it provides the most granular and consistent terminology available. It combines terminology from numerous cancer research related domains, and provides a way to integrate or link these kinds of information together through semantic relationships. NCIt features: * Stable, unique codes for biomedical concepts; * Preferred terms, synonyms, definitions, research codes, external source codes, and other information; * Links to NCI Metathesaurus and other information sources; * Over 200,000 cross-links between concepts, providing formal logic-based definition of many concepts; * Extensive content integrated from NCI and other partners, much available as separate NCIt subsets * Updated frequently by a team of subject matter experts. NCIt is a widely recognized standard for biomedical coding and reference, used by a broad variety of public and private partners both nationally and internationally including the Clinical Data Interchange Standards Consortium Terminology (CDISC), the U.S. Food and Drug Administration (FDA), the Federal Medication Terminologies (FMT), and the National Council for Prescription Drug Programs (NCPDP).
Proper citation: NCI Thesaurus (RRID:SCR_003563) Copy
http://purl.bioontology.org/ontology/MIRO
Application ontology for entities related to insecticide resistance in mosquitos
Proper citation: Mosquito Insecticide Resistance Ontology (RRID:SCR_003864) Copy
http://purl.bioontology.org/ontology/EMAP
A structured controlled vocabulary of stage-specific anatomical structures of the mouse (Mus).
Proper citation: Mouse Gross Anatomy and Development Ontology (RRID:SCR_003891) Copy
http://purl.bioontology.org/ontology/MSTDE-FRE
Metathesaurus Version of Minimal Standard Terminology Digestive Endoscopy, French Translation, 2001
Proper citation: Minimal Standard Terminology of Digestive Endoscopy - French (RRID:SCR_003830) Copy
http://purl.bioontology.org/ontology/SNOMEDCT
Ontology of SNOMED (Systematized Nomenclature of Medicine) clinical terms.
Proper citation: Systematized Nomenclature of Medicine - Clinical Terms (RRID:SCR_003915) Copy
http://purl.bioontology.org/ontology/MPATH
A structured controlled vocabulary of mutant and transgenic mouse pathology phenotypes
Proper citation: Mouse Pathology Ontology (RRID:SCR_003950) Copy
Can't find your Tool?
We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.
Welcome to the NIF Resources search. From here you can search through a compilation of resources used by NIF and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that NIF has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on NIF then you can log in from here to get additional features in NIF such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
You can save any searches you perform for quick access to later from here.
We recognized your search term and included synonyms and inferred terms along side your term to help get the data you are looking for.
If you are logged into NIF you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the sources that were queried against in your search that you can investigate further.
Here are the categories present within NIF that you can filter your data on
Here are the subcategories present within this category that you can filter your data on
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.