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

Area of Science:

• Genomics and Bioinformatics
• Data Science and Management

Background:

• The exponential growth of high-throughput sequencing data presents significant challenges in data access, transfer, storage, and sharing.
• There is a growing need for robust infrastructure to support data-driven biological research, particularly in managing large genomic datasets.

Purpose of the Study:

• To introduce the Korean Nucleotide Archive (KoNA), a national repository for nucleotide sequence data.
• To describe the infrastructure and procedures implemented to manage and provide access to large-scale genomic data.
• To enhance the experience of researchers in submitting, accessing, and analyzing nucleotide sequence data.

Main Methods:

• Established KoNA as part of the Korea BioData Station (K-BDS) for depositing government-funded biological data.
• Implemented a standard operating procedure, aligned with international standards, including automated and manual quality control for data and metadata.
• Utilized a high-speed data transfer system (GBox) and integrated cloud computing services (Bio-Express) for seamless data processing.

Main Results:

• As of July 2022, KoNA's Korean Read Archive holds over 477 TB of raw next-generation sequencing data.
• The integrated system of KoNA, GBox, and Bio-Express streamlines data submission, access, and analysis.
• KoNA successfully addresses the need for a national sequence repository and supports global genomics research.

Conclusions:

• KoNA provides a vital national resource for nucleotide sequence data in Korea.
• The integrated platform enhances data management and accessibility, contributing to advancements in genomics.
• KoNA facilitates global data sharing and supports the broader scientific community.