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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/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
http://purl.bioontology.org/ontology/ABA-AMB
Allen Brain Atlas P56 Mouse Ontology
Proper citation: ABA Adult Mouse Brain Ontology (RRID:SCR_010286) Copy
http://www.obofoundry.org/wiki/index.php/AEO:Main_Page
An ontology of anatomical structures that expands CARO, the Common Anatomy Reference Ontology, to about 200 classes using the is_a relationship; it thus provides a detailed type classification for tissues. The new classes were chosen for their use in categorizing the major vertebrate and invertebrate anatomy ontologies at a granularity adequate for tissues of a single cell type. The ontology should be useful in increasing the amount of knowledge in anatomy ontologies, facilitating annotation and enabling interoperability across anatomy ontologies
Proper citation: AEO (RRID:SCR_010287) Copy
http://purl.bioontology.org/ontology/ATMO
Ontology that describes the actors'' function (healer, fetishist or soothsayer); the different types of proposed process treatment, the symptom''s roles and the disease consideration.
Proper citation: African Traditional Medicine Ontology (RRID:SCR_010288) Copy
http://purl.bioontology.org/ontology/BRIDG
An instance of a Domain Analysis Model (DAM) with the goal of producing a shared view of the dynamic and static semantics for the domain of protocol-driven research and its associated regulatory artifacts. This domain of interest is further defined as: Protocol-driven research and its associated regulatory artifacts: i.e. the data, organization, resources, rules, and processes involved in the formal assessment of the utility, impact, or other pharmacological, physiological, or psychological effects of a drug, procedure, process, or device on a human, animal, or other subject or substance plus all associated regulatory artifacts required for or derived from this effort, including data specifically associated with post-marketing adverse event reporting. The Biomedical Research Integrated Domain Group (BRIDG) Model is a collaborative effort engaging stakeholders from the Clinical Data Interchange Standards Consortium (CDISC), the HL7 Regulated Clinical Research Information Management Technical Committee (RCRIM TC), the National Cancer Institute (NCI) and its Cancer Biomedical Informatics Grid (caBIG??), and the US Food and Drug Administration (FDA). Source repository: https://ncisvn.nci.nih.gov/WebSVN/listing.php?repname=bridg-model&path=%2Ftrunk%2FModel+-+OWL%2F&
Proper citation: Biomedical Research Integrated Domain Group Model (RRID:SCR_010265) Copy
http://purl.bioontology.org/ontology/VHOG
A multi-species anatomical ontology for the vertebrate lineage, developed as part of the Bgee project. The mapping to species-specific anatomical ontologies is provided as a separated file: http://bgee.unil.ch/download/organ_association_vHOG.txt This mapping represents homology-strict relationships, in the sense of HOM:0000007 historical homology. Each mapping has been manually reviewed, and theye provide confidence codes and references when available.
Proper citation: Vertebrate Homologous Organ Group Ontology (RRID:SCR_010444) Copy
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