Searching the RRID Resource Information Network
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://purl.bioontology.org/ontology/VO
A biomedical ontology in the vaccine domain
Proper citation: Vaccine Ontology (RRID:SCR_006271) Copy
http://purl.bioontology.org/ontology/ADO
An open, public ontology representing relevant knowledge on Alzheimer's disease.
Proper citation: Alzheimer's disease ontology (RRID:SCR_010289) Copy
http://purl.bioontology.org/ontology/FAO
A structured controlled vocabulary for the anatomy of fungi.
Proper citation: Fungal Gross Anatomy Ontology (RRID:SCR_010322) Copy
http://purl.bioontology.org/ontology/EHDAA
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 abstract version of the human developmental anatomy ontology compresses all the tissues present over Carnegie stages 1-20 into a single hierarchy. The heart, for example, is present from Carnegie Stage 9 onwards and is thus represented by 12 EHDA IDs (one for each stage). In the abstract mouse, it has a single ID so that the abstract term given as just ''heart'' really means ''heart (CS 9-20)''. Timing details will be added to the abstract version of the ontology in a future release.
Proper citation: Human Developmental Anatomy Ontology abstract version 1 (RRID:SCR_010323) Copy
http://purl.bioontology.org/ontology/BAO-GPCR
Ontology (http://www.bioassayontology.org/bao_gpcr) that describes pharmacology, biochemistry and physiology of these important and therapeutically promising class of academic and pharmaceutical research targets. Incorporation and comparison of various small molecule screening data sets, such as those deposited in PubChem, ChEMBL, KEGG, PDSP, and/or IUPHAR databases, requires a formalized electronic organization system. In order to bridge the gap between the overflow of HTS data and the bottleneck of integrated analysis tools, herein, we provide the first comprehensive GPCR ontology. The development and utility of GPCR ontology was based on previously developed BioAssay Ontology (BAO). The GPCR ontology contains information about biochemical, pharmacological, and functional properties of individual GPCRs as well as GPCR-selective ligands inclusive of their HTS screening results and other records. This provides the first all-inclusive GPCR ontology with all available data to model the relationship between the GPCR binding sites and their physiologic and pharmacologic role in physiology via small molecule chemical structures. We developed this system using emerging semantic technologies, by leveraging existing and descriptive domain level ontologies.
Proper citation: G Protein-Coupled Receptor BioAssays Ontology (RRID:SCR_010324) Copy
http://purl.bioontology.org/ontology/GALEN
A translation of the full Galen ontology (from the OpenGALEN project) into the OWL description logic.
Proper citation: Galen Ontology (RRID:SCR_010325) Copy
http://purl.bioontology.org/ontology/GO-EXT
An extension of the Gene Ontology.
Proper citation: Gene Ontology Extension (RRID:SCR_010327) Copy
http://purl.bioontology.org/ontology/CO
Ontology that includes crop-specific trait ontologies for several economically important plants like rice, wheat, maize, potato, musa, chickpea and sorghum along with other important domains for crop research such as germplasm, passport, trait measurement scales, experimental design factors etc.
Proper citation: Crop Ontology (RRID:SCR_010299) Copy
http://purl.bioontology.org/ontology/AMINO-ACID
An ontology of amino acids and their properties. Inferred version.
Proper citation: Amino Acid Ontology (RRID:SCR_010290) Copy
http://purl.bioontology.org/ontology/BICSO
Biochemical Substructure Ontology
Proper citation: Biochemical Substructure Ontology (RRID:SCR_010185) Copy
http://purl.bioontology.org/ontology/AURA
Ontology of the AURA + Inquire project at SRI International, Menlo Park.
Proper citation: KB Bio 101 (RRID:SCR_010268) Copy
http://purl.bioontology.org/ontology/CPT
Ontology of current procedural terminology.
Proper citation: Current Procedural Terminology (RRID:SCR_010301) Copy
http://purl.bioontology.org/ontology/ONTOAD
A bilingual (English-French) domain ontology for modeling knowledge about Alzheimer's Disease and Related Syndromes.
Proper citation: Bilingual Ontology of Alzheimer (RRID:SCR_010149) Copy
http://purl.bioontology.org/ontology/ONL-DP
Ontology that is a module of the OntoNeuroLOG ontology, that covers the domain of Datasets and the processing of datasets developed in the context of the NeuroLOG project, a french project aiming at integrating distributed heterogeous resources in neuroimaging. It includes a detailed taxonomy of datasets in the area of neuroimaging (and especially MR imaging) as well as a taxonomy of medical image processing.
Proper citation: Dataset processing (RRID:SCR_010303) Copy
http://purl.bioontology.org/ontology/BTO
A structured controlled vocabulary for the source of an enzyme. It comprises terms for tissues, cell lines, cell types and cell cultures from uni- and multicellular organisms.
Proper citation: BRENDA Tissue and Enzyme Source Ontology (RRID:SCR_010031) Copy
http://purl.bioontology.org/ontology/AI-RHEUM
Ontology used for the diagnosis of rheumatologic diseases. AI/RHEUM contains findings, such as clinical signs, symptoms, laboratory test results, radiologic observations, tissue biopsy results, and intermediate diagnosis hypotheses. Findings and hypotheses, which include definitions, are used to reach diagnostic conclusions with definite, probable, or possible certainty. AI/RHEUM is used by clinicians and informatics researchers.
Proper citation: Artificial Intelligence Rheumatology Consultant System Ontology (RRID:SCR_010274) Copy
http://purl.bioontology.org/ontology/LSM
An ontology of CD markers for lymphocyte classification in the cell ontology, and other categories of surface and secreted proteins useful for discriminating between lymphocyte subsets by flow cytometry, ELISPOT, ELISA and other assays typically used for phenotypic identification of individual lymphocytes or lymphocyte populations have been included.
Proper citation: Leukocyte Surface Marker Ontology (RRID:SCR_010275) Copy
http://purl.bioontology.org/ontology/IFAR
An application ontology devoted to the standardized recording of data related to Fanconi Anemia (FA). This ontology was created using an OWL file provided by Dr. Ada Hamish (and Francois Schiettecatte) at the Centers for Mendelian Genetics, with their permission. Their original ontology can be found at: http://phenodb.net/help/features. Modifications were made using HPO, OMIM, NCI, and SNOMED. Novel classes pertaining to FA were added and defined as appropriate.
Proper citation: Fanconi Anemia Ontology (RRID:SCR_010319) Copy
http://purl.bioontology.org/ontology/ECG
Ontology for describing electrocardiograms, their capture method(s) and their waveforms.
Proper citation: Electrocardiography Ontology (RRID:SCR_010313) Copy
http://purl.bioontology.org/ontology/CMPO
A species neutral ontology for describing general phenotypic observations relating to the whole cell, cellular components, cellular processes and cell populations. CMPO is an application ontology developed in OWL that contains precomposed phenotypes descriptions that are defined using the Gene Ontology (GO) and the Phenotype Trait Ontology (PATO).
Proper citation: Cellular microscopy phenotype ontology (RRID:SCR_010282) 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.
Welcome to the Neuroscience Information Framework Project, designed to serve the biomedical research community. NIF maintains the largest searchable collection of neuroscience data, the largest catalog of biomedical resources, and the largest ontology for neuroscience on the web. We welcome all feedback and suggestions and are actively looking for resource providers to make their resources accessible through NIF. Learn about the tools available to help you share your data and discover a dynamic inventory of Web-based neuroscience resources.
