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DDBJ update: streamlining submission and access of human data.
- Source :
-
Nucleic acids research [Nucleic Acids Res] 2021 Jan 08; Vol. 49 (D1), pp. D71-D75. - Publication Year :
- 2021
-
Abstract
- The Bioinformation and DDBJ Center (DDBJ Center, https://www.ddbj.nig.ac.jp) provides databases that capture, preserve and disseminate diverse biological data to support research in the life sciences. This center collects nucleotide sequences with annotations, raw sequencing data, and alignment information from high-throughput sequencing platforms, and study and sample information, in collaboration with the National Center for Biotechnology Information (NCBI) and the European Bioinformatics Institute (EBI). This collaborative framework is known as the International Nucleotide Sequence Database Collaboration (INSDC). In collaboration with the National Bioscience Database Center (NBDC), the DDBJ Center also provides a controlled-access database, the Japanese Genotype-phenotype Archive (JGA), which archives and distributes human genotype and phenotype data, requiring authorized access. The NBDC formulates guidelines and policies for sharing human data and reviews data submission and use applications. To streamline all of the processes at NBDC and JGA, we have integrated the two systems by introducing a unified login platform with a group structure in September 2020. In addition to the public databases, the DDBJ Center provides a computer resource, the NIG supercomputer, for domestic researchers to analyze large-scale genomic data. This report describes updates to the services of the DDBJ Center, focusing on the NBDC and JGA system enhancements.<br /> (© The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research.)
- Subjects :
- Academies and Institutes
Base Sequence
Genotype
High-Throughput Nucleotide Sequencing
Humans
Internet
Japan
Nucleic Acids genetics
Phenotype
Computational Biology methods
Databases, Nucleic Acid organization & administration
Nucleic Acids chemistry
Sequence Analysis, DNA statistics & numerical data
Sequence Analysis, RNA statistics & numerical data
Subjects
Details
- Language :
- English
- ISSN :
- 1362-4962
- Volume :
- 49
- Issue :
- D1
- Database :
- MEDLINE
- Journal :
- Nucleic acids research
- Publication Type :
- Academic Journal
- Accession number :
- 33156332
- Full Text :
- https://doi.org/10.1093/nar/gkaa982