Ontology for Biomedical Investigations
How to cite this record: FAIRsharing.org: OBI; Ontology for Biomedical Investigations; DOI: https://doi.org/10.25504/FAIRsharing.284e1z; Last edited: Feb. 22, 2018, 2:06 p.m.; Last accessed: Mar 23 2018 5:27 a.m.
No XSD schemas defined
Conditions of UseApplies to: Data use
Modeling a microbial community and biodiversity assay with OBO Foundry ontologies: the interoperability gains of a modular approach.
Rocca-Serra P,Walls R,Parnell J,Gallery R,Zheng J,Sansone SA,Gonzalez-Beltran A
Database (Oxford) 2015
Query enhancement through the practical application of ontology: the IEDB and OBI.
Vita R,Overton JA,Greenbaum JA,Sette A,Peters B
J Biomed Semantics 2013
Modeling biomedical experimental processes with OBI.
Brinkman RR,Courtot M,Derom D,Fostel JM,He Y,Lord P,Malone J,Parkinson H,Peters B,Rocca-Serra P,Ruttenberg A,Sansone SA,Soldatova LN,Stoeckert CJ Jr,Turner JA,Zheng J
J Biomed Semantics 2010
View in BioPortal.
Models and Formats
Comparison system for cancer stem cell analysis
Virus Pathogen Database and Analysis Resource
The Virus Pathogen Database and Analysis Resource (ViPR) is an integrated repository of data and analysis tools for multiple virus families, supported by the National Institute of Allergy and Infectious Diseases (NIAID) Bioinformatics Resource Centers (BRC) program. ViPR captures various types of information, including sequence records, gene and protein annotations, 3D protein structures, immune epitope locations, clinical and surveillance metadata and novel data derived from comparative genomics analysis. The database is available without charge as a service to the virology research community to help facilitate the development of diagnostics, prophylactics and therapeutics for priority pathogens and other viruses.
MetaboLights is a database for Metabolomics experiments and derived information. The database is cross-species, cross-technique and covers metabolite structures and their reference spectra as well as their biological roles, locations and concentrations, and experimental data from metabolic experiments. We offer user-submission tools and have strong reporting capabilities. We will utilise and further develop de-facto standard formats where various components are encapsulated, such as the encoded spectral and chromatographic data, and associated information about the chemical structure, as well as metadata describing assays and the study as a whole. We are dedicated to collaborate closely with major parties in world-wide metabolomics communities, such as the Metabolomics Society and the associated Metabolomics Standards Initiative (MSI).
Influenza Research Database
The Influenza Research Database (IRD) is a free, open, publicly-accessible resource funded by the U.S. National Institute of Allergy and Infectious Diseases through the Bioinformatics Resource Centers program. IRD provides a comprehensive, integrated database and analysis resource for influenza sequence, surveillance, and research data, including user-friendly interfaces for data retrieval, visualization, and comparative genomics analysis, together with personal login- protected ‘workbench’ spaces for saving data sets and analysis results. IRD integrates genomic, proteomic, immune epitope, and surveillance data from a variety of sources, including public databases, computational algorithms, external research groups, and the scientific literature.
Eukaryotic Pathogen Database Resources
EuPathDB is an integrated database covering the eukaryotic pathogens. While each of the taxonomic groups within this resource is supported by a taxon-specific database built upon the same infrastructure, the EuPathDB portal offers an entry point to all of these resources, and the opportunity to leverage orthology for searches across genera.
Immunology Database and Analysis Portal
The ImmPort system serves as a long-term, sustainable archive of immunology research data generated by investigators mainly funded through the NIAID/DAIT. The core component of the ImmPort system is an extensive data warehouse containing an integration of experimental data and clinical trial data. The analytical tools created and integrated as part of the ImmPort system are available to any researcher within ImmPort after registration and approval by DAIT. Additionally, the data provided mainly by NIAID/DAIT funded researchers in ImmPort will be available to all registered users after the appropriate embargo time. ImmPort, is the data submission portal where researchers upload, QC, and curate their data prior to sharing in OpenImmPort.
The ENCODE (Encyclopedia of DNA Elements) Consortium is an international collaboration of research groups funded by the National Human Genome Research Institute (NHGRI). The goal of ENCODE is to build a comprehensive parts list of functional elements in the human genome, including elements that act at the protein and RNA levels, and regulatory elements that control cells and circumstances in which a gene is active.
Immune Epitope Database
The IEDB provides the scientific community with a central repository of freely accessible epitope data and epitope prediction and analysis resources. The IEDB is a publicly accessible, comprehensive immune epitope database containing peptidic linear and conformational epitopes and non peptidic epitopes such as lipids, metals, drugs, carbohydrates, etc, with published or submitted antibody, T cell, MHC binding or MHC ligand elution experimental assays. Epitope data related to infectious diseases, allergy, autoimmunity and transplant tested in humans, non human primates, and any other species can be found in the IEDB.
The Open Biological and Biomedical Ontology (OBO) Foundry is a collective of ontology developers that are committed to collaboration and adherence to shared principles. The mission of the OBO Foundry is to develop a family of interoperable ontologies that are both logically well-formed and scientifically accurate. To achieve this, OBO Foundry participants voluntarily adhere to and contribute to the development of an evolving set of principles including open use, collaborative development, non-overlapping and strictly-scoped content, and common syntax and relations, based on ontology models that work well, such as the Gene Ontology (GO). The OBO Foundry is overseen by an Operations Committee with Editorial, Technical and Outreach working groups.
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