Cited by 128DNA and Biological ComputingAlgorithms and Data CompressionAdvanced biosensing and bioanalysis techniques

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High information capacity DNA-based data storage with augmented encoding characters using degenerate bases

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Abstract

DNA-based data storage has emerged as a promising method to satisfy the exponentially increasing demand for information storage. However, practical implementation of DNA-based data storage remains a challenge because of the high cost of data writing through DNA synthesis. Here, we propose the use of degenerate bases as encoding characters in addition to A, C, G, and T, which augments the amount of data that can be stored per length of DNA sequence designed (information capacity) and lowering the amount of DNA synthesis per storing unit data. Using the proposed method, we experimentally achieved an information capacity of 3.37 bits/character. The demonstrated information capacity is more than twice when compared to the highest information capacity previously achieved. The proposed method can be integrated with synthetic technologies in the future to reduce the cost of DNA-based data storage by 50%.

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References 24 · Cited by 128

Metadata

Authors
Choi, Y., Ryu, T., Lee, A. C., Choi, H., Lee, H., Park, J., Song, S.-H., Kim, S., Kim, H., Park, W., & Kwon, S.
Affiliations
  • Seoul National University (KR)
  • Kyung Hee University (KR)
Corresponding author
  • Park, Wook
  • Kwon, Sunghoon
Venue
Scientific Reports
Published
2019-04-29
Volume
9
Issue
1
Pages
6582-6582
ISSN
2045-2322 (ISSN-L)
OpenAlex
W2942635499
Cited by
128
References
24
Citations by year
2026: 10 · 2025: 30 · 2024: 23 · 2023: 19 · 2022: 17 · 2021: 12 · 2020: 13 · 2019: 3
FWCI
3.72
Type
journal article
Language
en
Open access
Locations
  • Scientific Reports (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • Yonsei University
  • Samsung
Topics
  • Physical Sciences › Mathematics › Theoretical Computer Science › DNA and Biological Computing
  • Physical Sciences › Mathematics › Theoretical Computer Science › Algorithms and Data Compression
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Advanced biosensing and bioanalysis techniques
Keywords
DNA data storage, information capacity, DNA encoding, synthetic DNA
MeSH terms
Base Sequence, DNA, Information Storage and Retrieval, Sequence Analysis, DNA, Databases, Nucleic Acid

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