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https://bioportal.bioontology.org/ontologies/PCL/

Collection of ontology of provisional cells determined by experimental methods.

Proper citation: Provisional Cell Ontology (RRID:SCR_018332) Copy   

•   Source: SciCrunch Registry

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

Ontology that is a classification of the types of mathematical models used mostly in the life sciences, their variables, relationships and other relevant features.

Proper citation: Mathematical Modelling Ontology (RRID:SCR_000910) Copy   

•   Source: SciCrunch Registry

http://www.ncbcs.org/biositemaps/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 27,2023. Biositemaps represent a mechanism for computational biologists and bio-informaticians to openly broadcast and retrieve meta-data about biomedical data, tools and services (i.e., biomedical resources) over the Internet. All Institutions with an interest in biomedical research can publish a biositemap.rdf file on their Internet site. The technology, developed by the Biositemaps Working Group of the NIH Roadmap National Centers of Biomedical Computing (NCBC), addresses (i) locating, (ii) querying, (iii) composing or combining, and (iv) mining biomedical resources. Each site which intends to contribute to the inventory instantiates a file on its Internet site biositemap.rdf which conforms to a defined RDF schema and uses concepts from the Biomedical Resource Ontology to describe the resources. Each biositemap.rdf file is simply a list of controlled metadata about resources (software tools, databases, material resources) that your organization uses or believes are important to biomedical research. The key enabling technologies are the Information Model (IM) which is the list of metadata fields about each resource (resource_name, description, contact_person, resource_type,...) and the Biomedical Resource Ontology (BRO) which is a controlled terminology for the resource_typeand which is used to improve the sensitivity and specificity of web searches. Biositemaps blend the features of Sitemaps (enabling efficient web-content exploration) and RSS Feeds (a mechanism for wide and effective news dissemination). As a hybrid between Sitemaps and RSS feeds, the Biositemap infrastructure facilitates a decentralized, portable, extensible and computationally tractable generation and consumption of meta-data about existent, revised and new resources for biomedical computation. Web browsers, crawlers and robots can discover, accumulate, process, integrate and deliver Biositemaps content to (human or machine) users in a variety of graphical, tabular, computational formats. Biositemaps content allows such web browsers to pool resource-associated metadata from disparate and diverse sites and present it to the user in an integrated fashion. The Biositemaps protocol provides clues, information and directives for all Biositemap web harvesters that point to the existence and content of such biomedical resources at different sites.

Proper citation: Biositemaps (RRID:SCR_001976) Copy   

•   Source: SciCrunch Registry

http://www.rightfield.org.uk/

An open-source tool for adding ontology term selection to Excel spreadsheets. It is used by a "Template Creator" to create semantically aware Excel spreadsheet templates. The Excel templates are then reused by Scientists to collect and annotate their data; without any need to understand, or even be aware of, RightField or the ontologies used. For each annotation field, RightField can specify a range of allowed terms from a chosen ontology (subclasses, individuals or combinations). The resulting spreadsheet presents these terms to the users as a simple drop-down list. This reduces the adoption barrier for using community ontologies as the annotation is made by the scientist that generated the data rather than a third party, and the annotation is collected at the time of data collection. RightField is a standalone Java application which uses Apache-POI for interacting with Microsoft documents. It enables users to import Excel spreadsheets, or generate new ones from scratch. Ontologies can either be imported from their local file systems, or from the BioPortal ontology repository. Individual cells, or whole columns or rows can be marked with the required ranges of ontology terms and an individual spreadsheet can be annotated with terms from multiple ontologies.

Proper citation: RightField (RRID:SCR_002649) Copy   

•   Source: SciCrunch Registry

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

An ontology for animal life history and natural history characteristics suitable for populations and higher taxonomic entities.

Proper citation: Animal Natural History and Life History Ontology (RRID:SCR_010292) Copy   

•   Source: SciCrunch Registry

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

Ontology for coding, filing, and retrieving post-marketing adverse drug and biologic experience reports. It is organized in body system and pathophysiology hierarchies, as well as a separate fetal/neonatal category of less than 20 terms. COSTART has been superseded by the Medical Dictionary for Regulatory Activities (MedDRA) Terminology. For more information about MedDRA in the Metathesaurus, see the MedDRA source synopsis. COSTART was last updated in the Metathesaurus in 1999.

Proper citation: Coding Symbols for a Thesaurus of Adverse Reaction Terms (RRID:SCR_010294) Copy   

•   Source: SciCrunch Registry

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

Ontology that is an automatic translation of the NCBI taxonomy (a taxonomic classification of living organisms and associated artifacts) database into obo/owl.

Proper citation: NCBITaxon (RRID:SCR_000479) Copy   

•   Source: SciCrunch Registry

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

An ontology for courtship behavior of the spider Habronattus californicus. A demonstration of ontology construction as a general technique for coding ethograms and other descriptions of behavior into machine understandable forms.

Proper citation: Habronattus Courtship Ontology (RRID:SCR_010334) Copy   

•   Source: SciCrunch Registry

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

Ontology that facilitates representing the family health histories of persons related by biological and/or social family relationships (e.g. step, adoptive) who share genetic, behavioral, and/or environmental risk factors for disease. SWRL rules are included to compute 3 generations of biological relationships based on parentage and family history findings based on personal health findings.

Proper citation: Family Health History Ontology (RRID:SCR_010068) Copy   

•   Source: SciCrunch Registry

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

Ontology that is a schema for information brokering and knowledge management in the complex field of rare diseases. On the one hand, the Dispedia schema uses semantic technologies to describe patients affected by rare diseases, and on the other hand, to record expertise concerning these particular diseases in machine-processable form. In addition to the differentiated attribution of facts to the individual need for information, Dispedia enables information brokering which adjusts to the type of recipient, its character as well as its personal attitude. The schema was initially geared to an exemplified disease, Amyotrophe Lateralsclerose (ALS).

Proper citation: Dispedia Core Ontology (RRID:SCR_010309) Copy   

•   Source: SciCrunch Registry

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

A mature foundational ontology developed at the NASA Jet Propulsion Laboratory, currently containing over 6000 concepts organized in 200 ontologies represented in OWL, whose top level concepts include Representation (math, space, science, time, data), Realm (Ocean, Land Surface, Terrestrial Hydroshere, Atmosphere, etc.), Phenomena (macro-scale ecological and physical), Processes (micro-scale physical, biological, chemical, and mathematical), Human Activities (Decision, Commerce, Jurisdiction, Environmental, Research). SWEET is now officially under the governance of the ESIP foundation.

Proper citation: Semantic Web for Earth and Environment Technology Ontology (RRID:SCR_010426) Copy   

•   Source: SciCrunch Registry

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

Ontology for Systems Chemical Biology and Chemogenomics

Proper citation: Systems Chemical Biology and Chemogenomics Ontology (RRID:SCR_003928) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/FB-DV

A structured controlled vocabulary of the development of Drosophila melanogaster.

Proper citation: Drosophila Development Ontology (RRID:SCR_010310) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/FB-BT

A structured controlled vocabulary of the anatomy of Drosophila melanogaster.

Proper citation: Drosophila Gross Anatomy Ontology (RRID:SCR_010311) Copy   

•   Source: SciCrunch Registry

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

Two ontologies: methods and properties (but not objects, which are subject of the chemical ontology). The methods are applied to study the properties.

Proper citation: Physico-Chemical Methods and Properties (RRID:SCR_010407) Copy   

•   Source: SciCrunch Registry

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

Ontology that encodes agreement among experts about how Emergency Department (ED) chief complaints are grouped into syndromes of public health importance (consensus definitions).

Proper citation: Syndromic Surveillance Ontology (RRID:SCR_010409) Copy   

•   Source: SciCrunch Registry

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

Ontology to provide a structured vocabulary for rare diseases capturing relationships between diseases, genes and other relevant features which will form a useful resource for the computational analysis of rare diseases. It derived from the Orphanet database (http://www.orpha.net) , a multilingual database dedicated to rare diseases populated from literature and validated by international experts. It integrates a nosology (classification of rare diseases), relationships (gene-disease relations, epiemological data) and connections with other terminologies (MeSH, SNOMED CT, UMLS, MedDRA), databases (OMIM, UniProtKB, HGNC, ensembl, Reactome, IUPHAR, Geantlas) or classifications (ICD10). The ontology will be maintained by Orphanet and further populated with new data. Orphanet classifications can be browsed in the OLS view. The Orphanet Rare Disease Ontology is updated monthly and follows the OBO guidelines on deprecation of terms. It constitutes the official ontology of rare diseases produced and maintained by Orphanet (INSERM, US14).

Proper citation: Orphanet Rare Disease Ontology (RRID:SCR_010402) Copy   

•   Source: SciCrunch Registry

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

Ontology that models provenance metadata associated with experiment protocols used in parasite research. The PEO extends the upper-level Provenir ontology (http://knoesis.wright.edu/provenir/provenir.owl) to represent parasite domain-specific provenance terms. The PEO (v 1.0) includes Proteome, Microarray, Gene Knockout, and Strain Creation experiment terms along with other terms that are used in pathway.

Proper citation: Parasite Experiment Ontology (RRID:SCR_010403) Copy   

•   Source: SciCrunch Registry

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

Ontology that proposes concepts and roles to represent relationships of pharmacogenomics interest.

Proper citation: Pharmacogenomic Relationships Ontology (RRID:SCR_010406) Copy   

•   Source: SciCrunch Registry

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

Ontology for the description of drug discovery investigations. DDI aims to follow to the OBO (Open Biomedical Ontologies) Foundry principles, uses relations laid down in the OBO Relation Ontology, and be compliant with Ontology for biomedical investigations (OBI).

Proper citation: Ontology for Drug Discovery Investigations (RRID:SCR_010383) Copy   

•   Source: SciCrunch Registry