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Reading and writing digital data in DNA.

Linda C Meiser1, Philipp L Antkowiak1, Julian Koch1

  • 1Institute for Chemical and Bioengineering, Department of Chemistry and Applied Biosciences, ETH Zurich, Zurich, Switzerland.

Nature Protocols
|December 1, 2019
PubMed
Summary
This summary is machine-generated.

This study details a method for storing digital data in DNA, using error-correcting codes to ensure accurate retrieval. The protocol provides step-by-step instructions and software for encoding and decoding information, making DNA data storage reliable.

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Area of Science:

  • Biotechnology
  • Bioinformatics
  • Data Storage

Background:

  • DNA offers exceptional longevity and information density, making it a potential medium for digital data archiving.
  • Current methods for DNA data storage face challenges due to errors introduced during synthesis, sequencing, and handling.
  • Error-free information retrieval is crucial for the practical application of DNA data storage.

Purpose of the Study:

  • To provide a comprehensive protocol for encoding digital information into DNA sequences.
  • To detail methods for physically handling, storing, and retrieving DNA-based data.
  • To enable error-free data recovery through the implementation of error-correcting codes.

Main Methods:

  • Digital data is translated into DNA sequences using a custom-developed encoding algorithm.
  • DNA synthesis and sequencing are performed using commercial platforms (Illumina dye sequencing).
  • Error-correcting codes are applied to protect the encoded information against molecular imperfections.

Main Results:

  • A robust protocol for DNA data storage and retrieval is presented, suitable for small-scale experiments (100 kB to 15 MB).
  • Accompanying software automates the encoding and decoding processes, simplifying the workflow.
  • The protocol demonstrates the feasibility of error-free information storage in DNA.

Conclusions:

  • The developed protocol offers a reliable method for archiving digital information in DNA.
  • The approach is adaptable for larger data volumes and future advancements in DNA synthesis and sequencing technologies.
  • This work serves as a foundational step towards practical and scalable DNA data storage solutions.