How to cite this record FAIRsharing.org: GAZ; Gazetteer; DOI: https://doi.org/10.25504/FAIRsharing.wkdjpb; Last edited: Dec. 16, 2019, 11:20 a.m.; Last accessed: Mar 04 2021 6:54 p.m.
Record updated: Nov. 27, 2019, 3:48 p.m. by The FAIRsharing Team.
Edits to 'https://fairsharing.org/FAIRsharing.wkdjpb' by 'The FAIRsharing Team' at 15:48, 27 Nov 2019 (approved): 'onto_disciplines' has been modified: Before: Environmental Science After: Environmental Science Ontology and Terminology Added: Ontology and Terminology Removed: 'miriam_id' has been modified: Before: None After: 'contactORCID' has been modified: Before: After: 0000-0002-6962-2807
Edits to 'https://fairsharing.org/FAIRsharing.wkdjpb' by 'The FAIRsharing Team' at 20:01, 08 Nov 2016 (approved): 'obo_abbreviation' has been modified: Before: gaz After: gaz
Edits to 'https://fairsharing.org/FAIRsharing.wkdjpb' by 'The FAIRsharing Team' at 10:24, 31 Oct 2016 (approved): 'description' has been modified: Before: "Gazetteer" is a standard, specialising in the fields described under "scope and data types", below. Until this entry is claimed, more information on this project can be found at http://bioportal.bioontology.org/ontologies/1397. This text was generated automatically. If you work on the project responsible for "Gazetteer" then please consider helping us by claiming this record and updating it appropriately. After: A controlled vocabulary following ontological rules that describes named geographical locations.
No XSD schemas defined
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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.
VectorBase is a web-accessible data repository for information about invertebrate vectors of human pathogens. VectorBase annotates and maintains vector genomes (as well as a number of non-vector genomes for comparative analysis) providing an integrated resource for the research community. VectorBase contains genome information for organisms such as Anopheles gambiae, a vector for the Plasmodium protozoan agent causing malaria, and Aedes aegypti, a vector for the flaviviral agents causing Yellow fever and Dengue fever. Hosted data range from genome assemblies with annotated gene features, transcript and protein expression data to population genetics including variation and insecticide-resistance phenotypes.
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.
The MAR databases is a collection of manually curated marine microbial contextual and sequence databases, based at the Marine Metagenomics Portal. This was developed as a part of the ELIXIR EXCELERATE project in 2017 and is maintained by The Center for Bioinformatics (SfB) at the UiT The Arctic University of Norway. SfB is hosting the UiT node of ELIXIR Norway. The MarRef, MarDb, MarFun and MarCat contextual databases are built by compiling data from a number of public available sequence, taxonomy and literature databases in a semi-automatic fashion.
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Genomic Standards Consortium (Consortium)