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http://purl.bioontology.org/ontology/ONL-MR-DA

Ontology that is a module of the OntoNeuroLOG ontology, that covers the domain of Magnetic Resonance Imaging (MRI) dataset acquisition, i.e. MRI protocols, and MRI sequence parameters, developed in the context of the NeuroLOG project, a french project aiming at integrating distributed heterogeneous resources in neuroimaging. In particular, it includes a multi-axial classification of MR sequences.

Proper citation: MR dataset acquisition (RRID:SCR_010352) Copy   

•   Source: SciCrunch Registry

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

Ontology for organismal habitats (especially focused on microbes)

Proper citation: Metagenome and Microbes Environmental Ontology (RRID:SCR_010359) Copy   

•   Source: SciCrunch Registry

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

Controlled vocabularies for the MIxS (Minimal Information about any Sequence) family of metadata checklists. See http://gensc.org/gc_wiki/index.php/MIxS for details on the MIxS checklists.

Proper citation: Minimal Information about any Sequence Controlled Vocabularies (RRID:SCR_010363) Copy   

•   Source: SciCrunch Registry

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

Ontology that is a conceptual model for the domain of gene regulation. It covers processes that are linked to the regulation of gene expression as well as physical entities that are involved in these processes (such as genes and transcription factors) in terms of ontology classes and semantic relations between classes. GRO is intended to represent common knowledge about gene regulation in a formal way rather than representing extremely fine-grained classes as can be found in ontologies such as the Gene Ontology (GO) (created for data base annotation purposes) and various relevant databases. The main purpose of the ontology is to support NLP applications. It has a particular focus on the relations between processes and the molecules (participants) involved. The basic structure of the GRO is a direct acyclic graph (DAG) with ontology classes as nodes and is-a relations between classes as edges. The taxonomic backbone is further enriched by several semantic relation types (part-of, from-species, participates-in with the two sub-relations agent-of and patient-of).

Proper citation: Gene Regulation Ontology (RRID:SCR_010590) Copy   

•   Source: SciCrunch Registry

http://zfin.org/zf_info/anatomy/dict/sum.html

A structured controlled vocabulary of the anatomy and development of the Zebrafish (Danio rerio). It includes a list of structures, organized hierarchically into an ontology, with descriptions of each structure. The current version is being written by a consortium of researchers, each serving as an expert for a particular set of anatomical structures. Additional anatomical information derived from the current literature is provided by the ZFIN curation group. Development of a complete and uniform anatomical ontology for the zebrafish is vital to the success of zebrafish science. The anatomical ontology is necessary for: * Effective data dissemination and informatics. * A reference framework. * Interoperability.

Proper citation: Zebrafish Anatomical Ontology (RRID:SCR_005887) Copy   

•   Source: SciCrunch Registry

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

Ontology for knowledge representation related to computer-based decision support in rehabilitation; concepts and relationships in the rehabilitation domain, integrating clinical practice, the ICD (specifically its 11th revision), the clinical investigator record ontology, the ICF and SNOMED CT.

Proper citation: Physical Medicine and Rehabilitation (RRID:SCR_005948) Copy   

•   Source: SciCrunch Registry

http://www.human-phenotype-ontology.org/

Provides standardized vocabulary of phenotypic abnormalities encountered in human disease. Structured and controlled vocabulary for phenotypic features encountered in human hereditary and other disease. HPO is being developed in collaboration with members of OBO Foundry (Open Biological and Biomedical Ontologies), and logical definitions for HPO terms are being developed using PATO and a number of other ontologies including FMA, GO, ChEBI, and MPATH.

Proper citation: Human Phenotype Ontology (RRID:SCR_006016) Copy   

•   Source: SciCrunch Registry

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

An ontology for sequence annotations and how to preserve them with reference sequences.

Proper citation: Reference Sequence Annotation (RRID:SCR_006095) Copy   

•   Source: SciCrunch Registry

http://www.informatics.jax.org/searches/AMA_form.shtml

Ontology that organizes anatomical structures for the adult mouse (Theiler stage 28) spatially and functionally, using ''is a'' and ''part of'' relationships. The ontology is used to describe expression data for the adult mouse and phenotype data pertinent to anatomy in standardized ways. The browser can be used to view anatomical terms and their relationships in a hierarchical display.

Proper citation: Adult Mouse Anatomy Ontology (RRID:SCR_006568) Copy   

•   Source: SciCrunch Registry

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

A biomedical ontology in the vaccine domain

Proper citation: Vaccine Ontology (RRID:SCR_006271) Copy   

•   Source: SciCrunch Registry

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

An ontology for describing clinical signs and symptoms.

Proper citation: Clinical Signs and Symptoms Ontology (RRID:SCR_007226) Copy   

•   Source: SciCrunch Registry

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

THIS RESOURCE IS NO LONGER IN SERVICE, documented on April 23, 2014. Description not available.

Proper citation: Skin Physiology Ontology (RRID:SCR_006253) Copy   

•   Source: SciCrunch Registry

http://cancer.gov/cancertopics/pdq/cancerdatabase

NCI''s comprehensive cancer database that contains summaries on a wide range of cancer topics; a registry of 8,000+ open and 19,000+ closed cancer clinical trials from around the world; a directory of professionals who provide genetics services; the NCI Dictionary of Cancer Terms, with definitions for 6,800+ cancer and medical terms; and the NCI Drug Dictionary, which has information on 2,300+ agents used in the treatment of cancer or cancer-related conditions. The PDQ cancer information summaries are peer reviewed and updated monthly by six editorial boards comprised of specialists in adult treatment, pediatric treatment, supportive care, screening and prevention, genetics, and complementary and alternative medicine. The Boards review current literature from more than 70 biomedical journals, evaluate its relevance, and synthesize it into clear summaries. Many of the summaries are also available in Spanish.

Proper citation: Physician Data Query (RRID:SCR_006833) Copy   

•   Source: SciCrunch Registry

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

An application ontology integrating knowledge about the eukaryotic cell cycle.

Proper citation: Cell Cycle Ontology (RRID:SCR_007085) Copy   

•   Source: SciCrunch Registry

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

Ontology of suicidology.

Proper citation: suicideonto (RRID:SCR_010452) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/EHDAA2

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 2 (RRID:SCR_010337) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/ONTODM-KDD

Ontology for representing data mining investigations. Its goal is to allow the representation of knowledge discovery processes and be general enough to represent the data mining investigations. The ontology is based on the CRISP-DM process methodology.

Proper citation: Ontology of Data Mining Investigations (RRID:SCR_010394) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/TM-MER

Ontology of the meridian value set used in the International Classification of Traditional Medicine.

Proper citation: Traditional Medicine Meridian Value Sets (RRID:SCR_010436) Copy   

•   Source: SciCrunch Registry

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

A comprehensive ontology on primary and established cell lines-both normal and pathologic. It covers around 400 cell lines. This ontology has been built to include the major domains in the field of biology like anatomy, bio-molecules, chemicals and drugs, pathological conditions and genetic variations around the cell lines. An extensive network of relations has been built across these concepts to enable different combinations of queries. The ontology covers all cell lines from major sources like ATCC, DSMZ, ECACC, ICLC etc. and is built in OWL format.

Proper citation: Cell Line Ontology by Mahadevan (RRID:SCR_010281) Copy   

•   Source: SciCrunch Registry

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

Ontology of National Drug File - Reference Terminology Public Inferred Edition, 2008_03_11

Proper citation: National Drug File - Reference Terminology (RRID:SCR_010372) Copy   

•   Source: SciCrunch Registry