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A dual-rule encoding DNA storage system using chaotic mapping to control GC content.

Xuncai Zhang1, Baonan Qi1, Ying Niu2

  • 1College of Electrical Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450000, Henan, China.

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|February 29, 2024
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Summary
This summary is machine-generated.

This study introduces a new DNA data storage method that overcomes biological limitations for efficient information encoding. The novel scheme achieves high data density and robust error correction, making DNA a more reliable storage medium.

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Area of Science:

  • Biotechnology
  • Bioinformatics
  • Information Science

Background:

  • DNA offers high-density, long-term data storage potential.
  • Previous DNA storage methods faced synthesis and sequencing challenges due to ignoring biological constraints.

Purpose of the Study:

  • To propose a novel DNA storage coding scheme that adheres to biological constraints.
  • To enhance the reliability and efficiency of DNA data storage.

Main Methods:

  • Developed a coding scheme encoding binary data using two GC-content complementary rules.
  • Simulated encoding for document and image files.
  • Implemented Reed-Solomon code for error correction during decoding.

Main Results:

  • Achieved a coding potential of 1.66 bit/nt with DNA sequences conforming to biological constraints.
  • Demonstrated 90% data recovery with 2% introduced error using Reed-Solomon code.
  • Validated the scheme's robustness and reliability through simulations.

Conclusions:

  • The proposed DNA storage coding scheme effectively addresses biological limitations.
  • The scheme offers high data density and robust error correction capabilities.
  • This approach enhances the feasibility of DNA as a practical data storage medium.