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A Coding Scheme for Nucleic Acid Memory (NAM).

Kelsey Suyehira1, Simon Llewellyn2, Reza M Zadegan3

  • 1Department of Computer Science, Boise State University, Boise, ID, USA, kelseysuyehira@u.boisestate.edu.

IEEE Workshop on Microelectronics and Electron Devices : [Proceedings]. IEEE Workshop on Microelectronics and Electron Devices
|September 24, 2019
PubMed
Summary
This summary is machine-generated.

As digital data grows, nucleic acid memory (NAM) offers a high-density, long-term storage solution. This study presents a novel algorithm for encoding digital data into DNA for archival, achieving error-free encoding and decoding.

Keywords:
CodingDNAData storageNAMNucleic Acid Memory

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Area of Science:

  • Data storage solutions
  • Biotechnology
  • Bioinformatics

Background:

  • Projected exponential growth in global digital data.
  • Limitations of current semiconductor-based data storage.
  • Nucleic acids (DNA/RNA) offer high-density, long-term archival potential.

Purpose of the Study:

  • To develop an algorithm for converting digital data into unique DNA sequences.
  • To enable long-term data archival using nucleic acid memory (NAM).
  • To address the challenge of increasing data volume exceeding silicon supply.

Main Methods:

  • Development of a biologically inspired coding scheme.
  • Mapping hexadecimal characters to three-nucleotide DNA sequences.
  • Algorithm designed to avoid repeating sequences and start codons.

Main Results:

  • Successful encoding and decoding of various file types without errors.
  • Demonstrated feasibility of converting digital data into DNA sequences.
  • Algorithm validated for potential use in glacial storage applications.

Conclusions:

  • The developed algorithm provides a viable method for digital data storage in DNA.
  • Nucleic acid memory presents a promising alternative for long-term data archival.
  • This approach can help mitigate future data storage capacity limitations.