Tools   Select Another Resource Report Type

http://www.geneontology.org/

Computable knowledge regarding functions of genes and gene products. GO resources include biomedical ontologies that cover molecular domains of all life forms as well as extensive compilations of gene product annotations to these ontologies that provide largely species-neutral, comprehensive statements about what gene products do. Used to standardize representation of gene and gene product attributes across species and databases.

Proper citation: Gene Ontology (RRID:SCR_002811) Copy   

•   Source: SciCrunch Registry

http://bmir.stanford.edu/

Mark Musen''s laboratory studies components for building knowledge-based systems, controlled terminologies and ontologies, and technology for the Semantic Web. For more than two decades, Musen''s group has worked to elucidate reusable building blocks of intelligent systems, and to develop scalable computational architectures for systems with significant applications in biomedicine. Informatics is the study of information: its structure, its communication, and its use. As society becomes increasingly information intensive, the need to understand, create, and apply new methods for modeling, managing, and acquiring information has never been greater especially in biomedicine. BMIR is home to world class scientists and trainees developing cutting-edge ways to acquire, represent, process, and manage knowledge and data related to health, health care, and the biomedical sciences. Our faculty, students, and staff are committed to ensuring the biomedical community is properly equipped for the information age, and believe our efforts will provide the structure for the burgeoning revolution of health care and the biomedical sciences.

Proper citation: Stanford Center for Biomedical Informatics Research (RRID:SCR_005698) Copy   

•   Source: SciCrunch Registry

http://omim.org

Online catalog of human genes and genetic disorders, for clinical features, phenotypes and genes. Collection of human genes and genetic phenotypes, focusing on relationship between phenotype and genotype. Referenced overviews in OMIM contain information on all known mendelian disorders and variety of related genes. It is updated daily, and entries contain copious links to other genetics resources.

Proper citation: OMIM (RRID:SCR_006437) Copy   

•   Source: SciCrunch Registry

http://sig.biostr.washington.edu/projects/fm/

A domain ontology that represents a coherent body of explicit declarative knowledge about human anatomy. It is concerned with the representation of classes or types and relationships necessary for the symbolic representation of the phenotypic structure of the human body in a form that is understandable to humans and is also navigable, parseable and interpretable by machine-based systems. Its ontological framework can be applied and extended to all other species. The description of how the OWL version was generated is in Pushing the Envelope: Challenges in a Frame-Based Representation of Human Anatomy by N. F. Noy, J. L. Mejino, C. Rosse, M. A. Musen: http://bmir.stanford.edu/publications/view.php/pushing_the_envelope_challenges_in_a_frame_based_representation_of_human_anatomy The Foundational Model of Anatomy ontology has four interrelated components: # Anatomy taxonomy (At), # Anatomical Structural Abstraction (ASA), # Anatomical Transformation Abstraction (ATA), # Metaknowledge (Mk), The ontology contains approximately 75,000 classes and over 120,000 terms; over 2.1 million relationship instances from over 168 relationship types link the FMA's classes into a coherent symbolic model.

Proper citation: FMA (RRID:SCR_003379) Copy   

•   Source: SciCrunch Registry

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://www.ebi.ac.uk/sbo/

A set of controlled, relational vocabularies of terms commonly used in Systems Biology, and in particular in computational modeling. The ontology consists of seven orthogonal vocabularies defining: the roles of reaction participants (eg. substrate), quantitative parameters (eg. Michaelis constant), a precise classification of mathematical expressions that describe the system (eg. mass action rate law), the modeling framework used (eg. logical framework), and a branch each to describe entity (eg. macromolecule) and interaction (eg. process) types, and a branch to define the different types of metadata that may be present within a model. SBO terms can be used to introduce a layer of semantic information into the standard description of a model, or to annotate the results of biochemical experiments in order to facilitate their efficient reuse. SBO is an Open Biomedical Ontologies (OBO) candidate ontology, and is free for use. A programmatic access to the content of the Systems Biology Ontology is provided by Web Services.

Proper citation: SBO (RRID:SCR_006753) 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://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://purl.bioontology.org/ontology/ICNP

Ontology of the international classification for nursing practice.

Proper citation: International Classification for Nursing Practice (RRID:SCR_003099) Copy   

•   Source: SciCrunch Registry

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

An ontology for spider comparative biology including anatomical parts (e.g. leg, claw), behavior (e.g. courtship, combing) and products (i.g. silk, web, borrow).

Proper citation: Spider Ontology (RRID:SCR_003117) Copy   

•   Source: SciCrunch Registry

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

Ontology to enable curation of chemical-gene and chemical-protein interactions for the Comparative Toxicogenomics Database (CTD), a freely available resource that aims to promote understanding and novel hypothesis development about the effects of the environment on human health.

Proper citation: Interaction Ontology (RRID:SCR_003055) Copy   

•   Source: SciCrunch Registry

http://code.google.com/p/mental-functioning-ontology/

An ontology for mental functioning, including mental processes such as cognition and traits such as intelligence, and related diseases and disorders. It is developed in the context of the Ontology for General Medical Science and the Basic Formal Ontology. The project is being developed in collaboration between the University of Geneva, Switzerland, and the University at Buffalo, USA. The project is being developed with full involvement of all relevant communities, following best practices laid out by the OBO Foundry. Efforts are currently underway to align with related projects including the Behaviour Ontology, the Cognitive Atlas, the Cognitive Paradigm Ontology and the Neural Electro Magnetic Ontologies.

Proper citation: Mental Functioning Ontology (RRID:SCR_003245) Copy   

•   Source: SciCrunch Registry

https://code.google.com/p/emotion-ontology/

An ontology of affective phenomena such as emotions, moods, appraisals and subjective feelings, designed to support interdisciplinary research by providing unified annotations. The ontology is a domain specialization of the broader Mental Functioning Ontology.

Proper citation: Emotion Ontology (RRID:SCR_003272) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/vtontology/

A controlled vocabulary for the description of traits (measurable or observable characteristics) pertaining to the morphology, physiology, or development of vertebrate organisms.

Proper citation: Vertebrate Trait Ontology (RRID:SCR_003214) Copy   

•   Source: SciCrunch Registry

http://biomodels.net/kisao/

An ontology that classifies algorithms available for the simulation of models in biology, their characteristics and the parameters required for their use.

Proper citation: Kinetic Simulation Algorithm Ontology (RRID:SCR_003361) Copy   

•   Source: SciCrunch Registry

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

An ontology designed to represent the conditions under which physiological and morphological measurements are made both in the clinic and in studies involving humans or model organisms.

Proper citation: Experimental Conditions Ontology (RRID:SCR_003306) Copy   

•   Source: SciCrunch Registry

https://bioportal.bioontology.org/ontologies/NEMO/?p=summary

Ontology that describes classes of event-related brain potentials (ERP) and their properties, including spatial, temporal, and functional (cognitive / behavioral) attributes, and data-level attributes (acquisition and analysis parameters). Its aim is to support data sharing, logic-based queries and mapping/integration of patterns across data from different labs, experiment paradigms, and modalities (EEG/MEG).

Proper citation: NEMO Ontology (RRID:SCR_003386) Copy   

•   Source: SciCrunch Registry

https://github.com/egonw/semanticchemistry

An ontology that aims to establish a standard in representing chemical information including chemical structure and the ability to richly describe chemical properties, whether intrinsic or computed. It includes terms for the descriptors commonly used in cheminformatics software applications and the algorithms which generate them.

Proper citation: Chemical Information Ontology (RRID:SCR_003290) Copy   

•   Source: SciCrunch Registry

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

The taxonomy of the family Drosophilidae (largely after Baechli) and of other taxa referred to in FlyBase.

Proper citation: Fly Taxonomy (RRID:SCR_003317) Copy   

•   Source: SciCrunch Registry

http://archive.gramene.org/plant_ontology/ontology_browse.html#to

A controlled vocabulary to describe phenotypic traits in plants. Each trait is a distinguishable feature, characteristic, quality or phenotypic feature of a developing or mature plant, or a plant part.

Proper citation: Plant Trait Ontology (RRID:SCR_003461) Copy   

•   Source: SciCrunch Registry