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

Author:

Ko Gunhwan1ORCID,Lee Jae Ho1ORCID,Sim Young Mi1ORCID,Song Wangho1ORCID,Yoon Byung-Ha1,Byeon Iksu1ORCID,Lee Bang Hyuck1ORCID,Kim Sang-Ok1ORCID,Choi Jinhyuk1ORCID,Jang Insoo1ORCID,Kim Hyerin1ORCID,Yang Jin Ok1ORCID,Jang Kiwon1ORCID,Kim Sora1ORCID,Kim Jong-Hwan1ORCID,Jeon Jongbum1ORCID,Jung Jaeeun1ORCID,Hwang Seungwoo1ORCID,Park Ji-Hwan1ORCID,Kim Pan-Gyu1ORCID,Kim Seon-Young1ORCID,Lee Byungwook1ORCID

Affiliation:

1. Korea Bioinformation Center, Korea Research Institute of Bioscience & Biotechnology , Daejeon 34141, Republic of Korea

Abstract

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/.

Publisher

Oxford University Press (OUP)

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1. Big data and deep learning for RNA biology;Experimental & Molecular Medicine;2024-06-14

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