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URL: https://www.ddbj.nig.ac.jp/jga/index-e.html
Proper Citation: Japanese Genotype-phenotype Archive (JGA) (RRID:SCR_003118)
Description: A service for permanent archiving and sharing of all types of personally identifiable genetic and phenotypic data resulting from biomedical research projects. The JGA contains exclusive data collected from individuals whose consent agreements authorize data release only for specific research use or to bona fide researchers. Strict protocols govern how information is managed, stored and distributed by the JGA. Once processed, all data are encrypted. The JGA accepts only de-identified data approved by JST-NBDC. The JGA implements access-granting policy whereby the decisions of who will be granted access to the data resides with the JST-NBDC. After data submission the JGA team will process the data into databases and archive the original data files. The accepted data types include manufacturer-specific raw data formats from the array-based and new sequencing platforms. The processed data such as the genotype and structural variants or any summary level statistical analyses from the original study authors are stored in databases. The JGA also accepts and distributes any phenotype data associated with the samples. For other human biological data, please contact the NBDC human data ethical committee.
Abbreviations: JGA
Synonyms: JGA, Japanese Genotype-phenotype Archive (JGA), Japanese Genotype-phenotype Archive
Resource Type: data or information resource, service resource, data repository, database, storage service resource
Keywords: biomedical, genetic, phenotype, gene, data sharing, genotype
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NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases |
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The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant 2U24DK097771-09.
Email: info_at_ dknet.org
