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Updated: Oct 26, 2025

DNA-Tethered RNA Polymerase for Programmable In vitro Transcription and Molecular Computation
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Combinatorial constraint coding based on the EORS algorithm in DNA storage.

Li Xiaoru1, Guo Ling2

  • 1Hulunbeier Vocational and Technical College, Hulunbeier, Inner Mongolia, China.

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|July 29, 2021
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Summary
This summary is machine-generated.

DNA data storage offers high density and durability. A new Equilibrium Optimization Random Search (EORS) algorithm improves DNA coding, increasing storage capacity and reducing errors by expanding code sets.

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Area of Science:

  • Biotechnology
  • Information Science
  • Genomics

Background:

  • Exponential data growth challenges traditional electronic storage.
  • DNA offers a high-density, durable alternative for long-term data archiving.
  • Effective DNA coding is crucial for data integrity and storage performance.

Purpose of the Study:

  • To develop an advanced DNA coding method for data storage.
  • To address error-prone DNA synthesis, sequencing, and hybridization issues.
  • To enhance the efficiency and reliability of DNA data storage systems.

Main Methods:

  • Proposing a novel DNA storage coding method utilizing the Equilibrium Optimization Random Search (EORS) algorithm.
  • Implementing constraints including Hamming distance, GC content, and no-run-length limitations.
  • Conducting simulation experiments to evaluate code set size and performance.

Main Results:

  • The EORS algorithm successfully generated DNA codes meeting combined constraints.
  • The developed method increased the DNA storage code set size by an average of 11% compared to prior techniques.
  • Larger code sets enable the storage of more data using shorter DNA sequences.

Conclusions:

  • The EORS-based DNA coding method significantly enhances data storage capacity.
  • This approach mitigates errors inherent in DNA synthesis and sequencing.
  • The findings pave the way for more efficient and robust DNA data storage solutions.