DDBJ Database updates and computational infrastructure enhancement
DDBJ Database updates and computational infrastructure enhancement
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DOI：
10.1093/nar/gkz982
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发表时间：
2020-01-08
影响因子：
14.9
通讯作者：
Fujisawa, Takatomo
中科院分区：
文献类型：
--
作者：
Ogasawara, Osamu;Kodama, Yuichi;Fujisawa, Takatomo
国家遗传学研究所（NIG）的生物信息和DDBJ中心（https://www.ddbj.nig.ac.jp）与国际核苷酸序列数据库协作（INSDC）合作，维持一个主要的核苷酸序列数据库美国国家生物技术信息中心和欧洲生物信息学研究所。 Nig将NIG超级计算机作为DDBJ数据库构建的计算基础，并作为日本生物学家和医学研究人员的大规模计算资源。为了适应迅速增长的脱氧核糖核酸（DNA）核苷酸序列数据，NIG替换了其超级计算机系统，该系统设计用于基因组数据的大数据分析。归档存储；大规模平行的分布式文件系统（总计13.8 PB）和1.1 Pflops计算节点和图形处理单元（GPU）。此外，作为开发生物信息学的多云基础架构的起点，我们还安装了一个自动文件传输系统，该系统允许用户通过从SuperComputer之间利用最合适的环境来防止数据锁定并实现成本/性能平衡和用于不同工作负载的公共云。
The Bioinformation and DDBJ Center (https://www.ddbj.nig.ac.jp) in the National Institute of Genetics (NIG) maintains a primary nucleotide sequence database as amember of the International Nucleotide Sequence Database Collaboration (INSDC) in partnership with the US National Center for Biotechnology Information and the European Bioinformatics Institute. The NIG operates the NIG supercomputer as a computational basis for the construction of DDBJ databases and as a large-scale computational resource for Japanese biologists and medical researchers. In order to accommodate the rapidly growing amount of deoxyribonucleic acid (DNA) nucleotide sequence data, NIG replaced its supercomputer system, which is designed for big data analysis of genome data, in early 2019. The new system is equipped with 30 PB of DNA data archiving storage; large-scale parallel distributed file systems (13.8 PB in total) and 1.1 PFLOPS computation nodes and graphics processing units (GPUs). Moreover, as a starting point of developing multi-cloud infrastructure of bioinformatics, we have also installed an automatic file transfer system that allows users to prevent data lock-in and to achieve cost/performance balance by exploiting the most suitable environment from among the supercomputer and public clouds for different workloads.