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DNA-Aeon provides flexible arithmetic coding for constraint adherence and error correction in DNA storage.

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DNA data storage offers vast capacity, and DNA-Aeon is a new coding scheme. It enhances data reliability and reduces DNA synthesis costs for robust DNA information storage.

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Area of Science:

  • Biotechnology
  • Bioinformatics
  • Data Storage

Background:

  • DNA offers high information density for data storage.
  • Current DNA data storage methods face challenges with errors and synthesis costs.
  • Existing coding schemes have limitations in error correction and sequence constraints.

Purpose of the Study:

  • To introduce DNA-Aeon, a novel concatenated coding scheme for DNA data storage.
  • To enable user-defined sequence constraints like GC content and homopolymer length.
  • To improve error correction capabilities and reduce DNA synthesis costs.

Main Methods:

  • Developed a concatenated coding scheme named DNA-Aeon.
  • Implemented support for variable-sized encoded sequences.
  • Incorporated user-defined constraints including GC content, homopolymer limits, and motif avoidance.
  • Enabled custom codebook integration.
  • Designed for correcting substitution, insertion, deletion, and strand loss errors.

Main Results:

  • DNA-Aeon demonstrates superior error correction over existing codes at similar redundancy levels.
  • Achieved reduced DNA synthesis costs compared to other methods.
  • In-vitro tests confirmed high reliability despite skewed sequencing data and read dropout.

Conclusions:

  • DNA-Aeon offers a reliable and cost-effective solution for DNA data storage.
  • The scheme effectively addresses key challenges in DNA information storage.
  • This advancement supports the viability of DNA as a long-term archival storage medium.