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The volume of data stored in DNA continues to increase, and the significance of achieving random data access becomes more crucial. This is driven by the growing trend of utilizing DNA molecules as a storage solution in light of the rapid growth of digital information. Conventional techniques like key-based data encoding have limitations on data retrieval efficiency as they necessitate certain index sequence primers to retrieve the required data. We suggest employing generative adversarial networks (GANs) in primer design to overcome this difficulty and accomplish fuzzy retrieval in DNA storage. Our methodology guarantees that primer sequences satisfy the biochemical compatibility requirements for DNA synthesis and sequencing, in addition to having characteristics that improve retrieval efficiency. We offer DNAfr, a software package containing in silico modules designed to assist with primer design and implementation by enabling fuzzy retrieval in DNA storage.

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DNAfr: Fuzzy Retrieval Primer Design Using Generative Adversarial Networks for DNA Storage

  • 会议论文

  • 发表日期：

    2025年

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  • R. Bhavani,
  • R. Balamanigandan

摘要

The volume of data stored in DNA continues to increase, and the significance of achieving random data access becomes more crucial. This is driven by the growing trend of utilizing DNA molecules as a storage solution in light of the rapid growth of digital information. Conventional techniques like key-based data encoding have limitations on data retrieval efficiency as they necessitate certain index sequence primers to retrieve the required data. We suggest employing generative adversarial networks (GANs) in primer design to overcome this difficulty and accomplish fuzzy retrieval in DNA storage. Our methodology guarantees that primer sequences satisfy the biochemical compatibility requirements for DNA synthesis and sequencing, in addition to having characteristics that improve retrieval efficiency. We offer DNAfr, a software package containing in silico modules designed to assist with primer design and implementation by enabling fuzzy retrieval in DNA storage.