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MIxS Controlled Vocabularies
Abbreviation: MIxS CV
How to cite this record FAIRsharing.org: MIxS CV; MIxS Controlled Vocabularies; DOI: https://doi.org/10.25504/FAIRsharing.jnt6kr; Last edited: July 16, 2019, 10:47 p.m.; Last accessed: Jul 17 2019 4:02 p.m.
Record updated: July 16, 2019, 10:47 p.m. by The FAIRsharing Team.
Edits to 'https://fairsharing.org/FAIRsharing.jnt6kr' by 'The FAIRsharing Team' at 22:26, 08 Jul 2019 (not approved): 'miriam_id' has been modified: Before: None After: 'countries' has been modified: Before: After: United Kingdom United States Added: United Kingdom United States Removed:
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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.
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.
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