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KoNA: Korean Nucleotide Archive as A New Data Repository for Nucleotide Sequence Data.

Authors :
Ko G
Lee JH
Sim YM
Song W
Yoon BH
Byeon I
Lee BH
Kim SO
Choi J
Jang I
Kim H
Yang JO
Jang K
Kim S
Kim JH
Jeon J
Jung J
Hwang S
Park JH
Kim PG
Kim SY
Lee B
Source :
Genomics, proteomics & bioinformatics [Genomics Proteomics Bioinformatics] 2024 May 09; Vol. 22 (1).
Publication Year :
2024

Abstract

During the last decade, the generation and accumulation of petabase-scale high-throughput sequencing data have resulted in great challenges, including access to human data, as well as transfer, storage, and sharing of enormous amounts of data. To promote data-driven biological research, the Korean government announced that all biological data generated from government-funded research projects should be deposited at the Korea BioData Station (K-BDS), which consists of multiple databases for individual data types. Here, we introduce the Korean Nucleotide Archive (KoNA), a repository of nucleotide sequence data. As of July 2022, the Korean Read Archive in KoNA has collected over 477 TB of raw next-generation sequencing data from national genome projects. To ensure data quality and prepare for international alignment, a standard operating procedure was adopted, which is similar to that of the International Nucleotide Sequence Database Collaboration. The standard operating procedure includes quality control processes for submitted data and metadata using an automated pipeline, followed by manual examination. To ensure fast and stable data transfer, a high-speed transmission system called GBox is used in KoNA. Furthermore, the data uploaded to or downloaded from KoNA through GBox can be readily processed using a cloud computing service called Bio-Express. This seamless coupling of KoNA, GBox, and Bio-Express enhances the data experience, including submission, access, and analysis of raw nucleotide sequences. KoNA not only satisfies the unmet needs for a national sequence repository in Korea but also provides datasets to researchers globally and contributes to advances in genomics. The KoNA is available at https://www.kobic.re.kr/kona/.<br /> (© The Author(s) 2024. Published by Oxford University Press and Science Press on behalf of the Beijing Institute of Genomics, Chinese Academy of Sciences / China National Center for Bioinformation and Genetics Society of China.)

Details

Language :
English
ISSN :
2210-3244
Volume :
22
Issue :
1
Database :
MEDLINE
Journal :
Genomics, proteomics & bioinformatics
Publication Type :
Academic Journal
Accession number :
38862433
Full Text :
https://doi.org/10.1093/gpbjnl/qzae017