用扩展遗传字母表在核酸存储器中存储数字数据

S. Biswas, Subhrapratim Nath, J. Sing, S. Sarkar
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引用次数: 2

摘要

半导体技术的快速发展导致了全球范围内的数字革命,数据的生成速度呈指数级加快。当研究人员正在努力开发更好的压缩算法时,他们提出了核酸记忆(NAM)的想法。对各种论文进行了研究,各有优缺点。本文提出了一种将数字数据编码为遗传核苷酸序列的新方案,该方案演示了将非标准核苷酸和非自然碱基对与标准核苷酸碱基一起使用。这种组合的目的是提高编码方案的效率,大大优于预定义的编码模型,并将所提出的方案与现有的编码模型进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Storing Digital Data in Nucleic Acid Memory with Extended Genetic Alphabet
The rapid improvement of semiconductor technologies have led to a digital revolution globally which accelerated the rate of generation of data exponentially. When researchers are working hard to develop better compression algorithms, they came up with the idea of Nucleic Acid Memory (NAM). Various papers have been studied with their respective merits and demerits. This paper proposes a new scheme of encoding digital data into genetic nucleotide sequence which demonstrates the use of non-standard nucleotides and unnatural base pairs along with standard nucleotide bases. This combination aims in enhancing the efficiency of the encoding scheme much better than the predefined encoding model where the proposed scheme is compared with the existing encoding models.
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