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Low cost DNA data storage using photolithographic synthesis and advanced information reconstruction and error correction

Author

Listed:
  • Philipp L. Antkowiak

    (ETH Zürich)

  • Jory Lietard

    (Faculty of Chemistry, University of Vienna)

  • Mohammad Zalbagi Darestani

    (Rice University)

  • Mark M. Somoza

    (Faculty of Chemistry, University of Vienna
    Chair of Food Chemistry and Molecular Sensory Science, Technical University of Munich
    Leibniz-Institute for Food Systems Biology at the Technical University of Munich)

  • Wendelin J. Stark

    (ETH Zürich)

  • Reinhard Heckel

    (Rice University
    Technical University of Munich)

  • Robert N. Grass

    (ETH Zürich)

Abstract

Due to its longevity and enormous information density, DNA is an attractive medium for archival storage. The current hamstring of DNA data storage systems—both in cost and speed—is synthesis. The key idea for breaking this bottleneck pursued in this work is to move beyond the low-error and expensive synthesis employed almost exclusively in today’s systems, towards cheaper, potentially faster, but high-error synthesis technologies. Here, we demonstrate a DNA storage system that relies on massively parallel light-directed synthesis, which is considerably cheaper than conventional solid-phase synthesis. However, this technology has a high sequence error rate when optimized for speed. We demonstrate that even in this high-error regime, reliable storage of information is possible, by developing a pipeline of algorithms for encoding and reconstruction of the information. In our experiments, we store a file containing sheet music of Mozart, and show perfect data recovery from low synthesis fidelity DNA.

Suggested Citation

  • Philipp L. Antkowiak & Jory Lietard & Mohammad Zalbagi Darestani & Mark M. Somoza & Wendelin J. Stark & Reinhard Heckel & Robert N. Grass, 2020. "Low cost DNA data storage using photolithographic synthesis and advanced information reconstruction and error correction," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
    • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-19148-3
    DOI: 10.1038/s41467-020-19148-3
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    Cited by:

    1. Lifu Song & Feng Geng & Zi-Yi Gong & Xin Chen & Jijun Tang & Chunye Gong & Libang Zhou & Rui Xia & Ming-Zhe Han & Jing-Yi Xu & Bing-Zhi Li & Ying-Jin Yuan, 2022. "Robust data storage in DNA by de Bruijn graph-based de novo strand assembly," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    2. Andreas L. Gimpel & Wendelin J. Stark & Reinhard Heckel & Robert N. Grass, 2023. "A digital twin for DNA data storage based on comprehensive quantification of errors and biases," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    3. Cheng Kai Lim & Jing Wui Yeoh & Aurelius Andrew Kunartama & Wen Shan Yew & Chueh Loo Poh, 2023. "A biological camera that captures and stores images directly into DNA," Nature Communications, Nature, vol. 14(1), pages 1-11, December.

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