DNA 数据存储中信息处理技术的研究进展与挑战
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国家重点研发计划项目(2018YFA0902600, 2021YFF1200300)

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Research Progress and Challenges of Data Processing Technology for DNA-Based Information Storage
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This work is supported by National Key Research and Development Program of China (2018YFA0902600, 2021YFF1200300)

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    摘要:

    作为新一代信息存储介质,DNA 具有高信息密度和长期保存能力,有望解决全球数据存储介质耗竭的问题。但目前 DNA 信息存储技术的发展主要围绕信息“冷存储”开展,这使得存储过程中出现修改、更新、删除、销毁等需求时束手无策。该文从“冷存储”技术的现状出发,通过归纳总结 DNA 信息存储介质难以实现“热存储”应用的原因,解析用于信息处理功能的一系列“热存储”技术,包括加密销毁、重写再生、擦除恢复、运算记录等,详细论证 DNA 介质用作信息处理载体的可行性与有效性,分析各技术之间的关联性和挑战性,以期为 DNA 存储技术低能耗、高精准、高效率、高安全性的应用奠定基础,并推动新一代智能型信息存储介质和信息处理系统的发展。

    Abstract:

    DNA molecules exhibit highly promising properties of high storage density and extended lifespan as a medium for next generation digital data storage. Thus, it is expected to act as an alternative to address the global issue of insufficient data storage materials. However, the current advances of DNA-based information storage are mainly focused on “the cold storage of information”, so that it is difficult to realize quick data processing in DNA, such as rewriting, updating, deleting, and erasure. Based on the current situation of “cold storage” technology, the reasons why DNA information storage media is difficult to achieve “hot storage” applications has been summarized. In that context, the data processing including destruction, encryption, rewriting, regeneration, decay, recovery, and arithmetic recording can be realized. The feasibility of using DNA media as an information processing carrier has been comprehensively demonstrated, and corresponding advantages and disadvantages were emphasized. This review aims to highlight the importance of DNA storage technology with the potential low energy consumption, high accuracy, high efficiency, and high security. Additionally, it will show the perspective regarding the integration of DNA characteristics for the next generation of intelligent information storage and processing systems.

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引文格式
刘杨奕,张 轶,刘 凯. DNA 数据存储中信息处理技术的研究进展与挑战 [J].集成技术,2024,13(3):25-38

Citing format
LIU Yangyi, ZHANG Yi, LIU Kai. Research Progress and Challenges of Data Processing Technology for DNA-Based Information Storage[J]. Journal of Integration Technology,2024,13(3):25-38

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  • 收稿日期:2023-10-31
  • 最后修改日期:2023-10-31
  • 录用日期:2024-01-23
  • 在线发布日期: 2024-01-23
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