Cited by 54DNA and Biological ComputingAdvanced Data Storage TechnologiesAlgorithms and Data Compression

A DNA-Based Archival Storage System

Bornholt, James, Lopez, Randolph, Carmean, Douglas M., Ceze, Luis, Seelig, Georg, Strauss, Karin·2016·ACM SIGPLAN Notices

Abstract

Demand for data storage is growing exponentially, but the capacity of existing storage media is not keeping up. Using DNA to archive data is an attractive possibility because it is extremely dense, with a raw limit of 1 exabyte/mm 3 (109 GB/mm 3 ), and long-lasting, with observed half-life of over 500 years. This paper presents an architecture for a DNA-based archival storage system. It is structured as a key-value store, and leverages common biochemical techniques to provide random access. We also propose a new encoding scheme that offers controllable redundancy, trading off reliability for density. We demonstrate feasibility, random access, and robustness of the proposed encoding with wet lab experiments involving 151 kB of synthesized DNA and a 42 kB random-access subset, and simulation experiments of larger sets calibrated to the wet lab experiments. Finally, we highlight trends in biotechnology that indicate the impending practicality of DNA storage for much larger datasets.

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Crossref · 10.1145/2954679.2872397

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References 23 · Cited by 54

Authors
Bornholt, J., Lopez, R., Carmean, D. M., Ceze, L., Seelig, G., & Strauss, K.
Affiliations
  • University of Washington (US)
  • Microsoft (United States) (US)
  • University of Washington, Seattle, WA, USA
Venue
ACM SIGPLAN Notices
Published
2016-03-25
Volume
51
Issue
4
Pages
637-649
ISSN
  • 0362-1340 (ISSN-L)
  • 1558-1160
OpenAlex
W4231505808
Cited by
54
References
23
Citations by year
2026: 4 · 2025: 5 · 2024: 7 · 2023: 6 · 2022: 13 · 2021: 6 · 2020: 3 · 2019: 2 · 2018: 5 · 2017: 2 · 2016: 1
FWCI
1.73
Type
journal article
Language
en
Open access
closed
Locations
ACM SIGPLAN Notices (publishedVersion)
Funders
National Science Foundation (1409831)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › DNA and Biological Computing
  • Physical Sciences › Computer Science › Computer Networks and Communications › Advanced Data Storage Technologies
  • Physical Sciences › Computer Science › Artificial Intelligence › Algorithms and Data Compression
Keywords
DNA data storage, archival storage, key-value stores, random access, redundancy, storage density, data longevity, DNA synthesis, storage architecture

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