Genomics Proteomics & BioinformaticsGenomicsPeer-reviewed journal article
KoNA: Korean Nucleotide Archive as a New Data Repository for Nucleotide Sequence Data
Gunhwan KoiD, Jae Ho LeeiD, Young Mi SimiD, Wangho SongiD, Byoung-Ha YooniD, Iksu ByeoniD, B.H. LeeiD, Sang‐Ok KimiD, Jinhyuk ChoiiD, Jin Ok YangiD, Hye‐Rin KimiD, Kiwon JangiD, Sora KimiD, Jong-Hwan KimiD, Jongbum JeoniD, Jaeeun JungiD, Seungwoo HwangiD, Ji-Hwan ParkiD, Pan-Gyu KimiD, Seon‐Young KimiD, Byung-Wook LeeiD
Abstract
During the last decade, generation and accumulation of petabase-scale high-throughput sequencing data have resulted in ethical and technical challenges, including access to human data, and transfer, storage, and sharing of enormous amount of data. To promote data-driven research in biology, the Korean government announced that all the biological data generated from government-funded research projects should be deposited in the Korea BioData Station (K-BDS), which consists of multiple databases for individual data types. We introduce the Korean Nucleotide Archive (KoNA), a repository for 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 several national genome projects. To ensure data quality and prepare for international alignment, a standard operating procedure (SOP) was adopted, which is similar to the International Nucleotide Sequence Database Collaboration. The SOP 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 in a cloud-computing service for genomic data analysis called Bio-Express. This seamless coupling of KoNA, GBox, and Bio-Express enhances 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 contribute to advances in genomics. KoNA is available at https://www.kobic.re.kr/kona/.
- assay: whole-genome sequencing
- assay: whole-exome sequencing
- assay: long-read sequencing
- research focus: database / resource
- research focus: benchmarking
- approach: statistical model
- Citations
- 6
- FWCI
- 2.63
- Field percentile
- top 9%
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