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

A structured controlled vocabulary of the anatomy of mosquitoes.

Proper citation: Mosquito Gross Anatomy Ontology (RRID:SCR_003839) Copy   

•   Source: SciCrunch Registry

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

A basic ontology which describes the proteomics pipeline infrastructure for CPTAC project

Proper citation: CPTAC Proteomics Pipeline Infrastructure Ontology (RRID:SCR_006945) 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://hymao.org

A structured controlled vocabulary of the anatomy of the Hymenoptera (bees, wasps, sawflies and ants)

Proper citation: Hymenoptera Anatomy Ontology (RRID:SCR_003340) Copy   

•   Source: SciCrunch Registry

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

Ontology for cell types from NIFSTD

Proper citation: NIF Cell Ontology (RRID:SCR_003977) Copy   

•   Source: SciCrunch Registry

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

A structured controlled vocabulary for the annotation of mass spectrometry experiments.

Proper citation: Mass Spectrometry Ontology (RRID:SCR_003579) 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/SBOL

Ontology to represent standardized graphical notation for synthetic biology.

Proper citation: Synthetic Biology Open Language Visual Ontology (RRID:SCR_001261) Copy   

•   Source: SciCrunch Registry

https://blog.phenoscape.org/2008/05/14/the-teleost-taxonomy-ontology/

An ontology of taxonomic terms (names of taxonomic groups) used in the systematics of fish, including non-teleost groups such as Chondrichthys (sharks and rays), Sarcopterygii (lungfish and coelacanths), lampreys, and hagfish. It contains (as of August 2010) over 38,500 names, and over 44,000 taxonomic synonyms. A majority of the taxonomic names and synonyms were made available from the Catalog of Fishes. In July 2010 they added nearly 15,000 common names provided by Fishbase. Additional names and synonyms are added as a result of their curation activities. The ontology is being used to facilitate annotation of phenotypes, particularly for taxa that are not covered by NCBI because no submissions of molecular data have been made. Taxonomy ontologies can also be valuable in annotating legacy data, where authors make phenotype or ecological assertions (e.g., host-parasite associations) that refer to groups that are reorganized or no longer recognized. The taxonomy ontology serves as the source of taxa for their project's use for identifying evolutionary changes that match the phenotype of a zebrafish mutant.

Proper citation: Teleost Taxonomy Ontology (RRID:SCR_001611) Copy   

•   Source: SciCrunch Registry

http://mged.sourceforge.net/ontologies/MGEDontology.php

An ontology including concepts, definitions, terms, and resources for a standardized description of a microarray experiment in support of MAGE v.1. The MGED ontology is divided into the MGED Core ontology which is intended to be stable and in synch with MAGE v.1; and the MGED Extended ontology which adds further associations and classes not found in MAGE v.1. These terms will enable structure queries of elements of the experiments. Furthermore, the terms will also enable unambiguous descriptions of how the experiment was performed.

Proper citation: MGED Ontology (RRID:SCR_004484) Copy   

•   Source: SciCrunch Registry

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

Ontology for standard measures related to complex diseases, phenotypic traits and environmental exposures

Proper citation: PhenX Phenotypic Terms (RRID:SCR_004518) Copy   

•   Source: SciCrunch Registry

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

Ontology of pneumology (french version) developped by Audrey Baneyx, under the direction of Jean Charlet about knowledge engineering expertise and by Francois-Xavier Blanc in collaboration with Bruno Housset about medical expertise.

Proper citation: Ontology of Pneumology (RRID:SCR_004378) Copy   

•   Source: SciCrunch Registry

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

A pharmacovigilance ontology to connect known facts on drugs, disease, ADEs, and their molecular mechanisms.

Proper citation: Pharmacovigilance Ontology (RRID:SCR_004499) Copy   

•   Source: SciCrunch Registry

http://sequenceontology.org/

A collaborative ontology for the definition of sequence features used in biological sequence annotation. SO was initially developed by the Gene Ontology Consortium. Contributors to SO include the GMOD community, model organism database groups such as WormBase, FlyBase, Mouse Genome Informatics group, and institutes such as the Sanger Institute and the EBI. Input to SO is welcomed from the sequence annotation community. The OBO revision is available here: http://sourceforge.net/p/song/svn/HEAD/tree/ SO includes different kinds of features which can be located on the sequence. Biological features are those which are defined by their disposition to be involved in a biological process. Biomaterial features are those which are intended for use in an experiment such as aptamer and PCR_product. There are also experimental features which are the result of an experiment. SO also provides a rich set of attributes to describe these features such as polycistronic and maternally imprinted. The Sequence Ontologies use the OBO flat file format specification version 1.2, developed by the Gene Ontology Consortium. The ontology is also available in OWL from Open Biomedical Ontologies. This is updated nightly and may be slightly out of sync with the current obo file. An OWL version of the ontology is also available. The resolvable URI for the current version of SO is http://purl.obolibrary.org/obo/so.owl.

Proper citation: SO (RRID:SCR_004374) Copy   

•   Source: SciCrunch Registry

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

Ontology that extends the Ontology for Biomedical Investigations (OBI) to support consistent annotation of Bioinformatics Web services.

Proper citation: Bioinformatics Web Service Ontology (RRID:SCR_004529) Copy   

•   Source: SciCrunch Registry

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

THIS RESOURCE IS NO LONGER IN SERVICE, documented on April 23, 2014. Ontology that defines core relations used in all OBO ontologies. Obsolete. Replaced with RO.

Proper citation: Open Biological and Biomedical Ontologies Relationship Types (RRID:SCR_004409) Copy   

•   Source: SciCrunch Registry

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

Community ontology to provide standard terms for annotating mammalian phenotypic data. It has a hierarchical structure that permits a range of detail from high-level, broadly descriptive terms to very low-level, highly specific terms. This range is useful for annotating phenotypic data to the level of detail known and for searching for this information using either broad or specific terms as search criteria. Your input is welcome.

Proper citation: MPO (RRID:SCR_004855) Copy   

•   Source: SciCrunch Registry

http://www.nlm.nih.gov/mesh

A controlled vocabulary thesaurus that consists of sets of terms naming descriptors in a hierarchical structure that permits searching at various levels of specificity. MeSH, in machine-readable form, is provided at no charge via electronic means. MeSH descriptors are arranged in both an alphabetic and a hierarchical structure. At the most general level of the hierarchical structure are very broad headings such as Anatomy or Mental Disorders. More specific headings are found at more narrow levels of the twelve-level hierarchy, such as Ankle and Conduct Disorder. There are 27,149 descriptors in 2014 MeSH. There are also over 218,000 entry terms that assist in finding the most appropriate MeSH Heading, for example, Vitamin C is an entry term to Ascorbic Acid. In addition to these headings, there are more than 219,000 headings called Supplementary Concept Records (formerly Supplementary Chemical Records) within a separate thesaurus. The MeSH thesaurus is used by NLM for indexing articles from 5,400 of the world''''s leading biomedical journals for the MEDLINE/PubMED database. It is also used for the NLM-produced database that includes cataloging of books, documents, and audiovisuals acquired by the Library. Each bibliographic reference is associated with a set of MeSH terms that describe the content of the item. Similarly, search queries use MeSH vocabulary to find items on a desired topic.

Proper citation: MeSH (RRID:SCR_004750) Copy   

•   Source: SciCrunch Registry

http://www.obofoundry.org/ontology/pato.html

Ontology of phenotypic qualities, intended for use in a number of applications, primarily defining composite phenotypes and phenotype annotation. The new PATO differs from the old in that the system of attributes and values has been abandoned in favor of a single hierarchy of qualities. PATO is designed to be used in conjunction with ontologies of quality-bearing entities. An example of such an entity is an insect eye (taken from the fly_anatomy ontology), which could be the bearer of the quality ''red'' (PATO:0000322). This combination is the red eye phenotype. We say that the phenotype term is ''post-coordinated'', as it is formed by coordinating two terms together. This is in contrast to ontologies of pre-coordinated phenotypes, such as the Mammalian Phenotype (MP) ontology. PATO is independent of any exchange format or database schema. One way of expressing phenotype annotation using PATO is pheno-syntax, or pheno-xml. They will also post recommendations for representing phenotypes using OWL. All representations share the same basic formal underpinnings, a combination of quality-bearing entity and a quality (the EQ model).

Proper citation: PATO (RRID:SCR_004782) Copy   

•   Source: SciCrunch Registry