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通过软决策解码克服复合DNA字母基于数字存储的高错误率

Yaping Xu¹, Lulu Ding^1,2, Shigang Wu¹

¹Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, 7 Pengfei Street Dapeng New District, Shenzhen, 518120, P. R. China.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)

|June 14, 2024

概括

复合DNA字母增加了数字存储密度,但面临着错误挑战. 一种名为Derrick-cp的新算法提高了数据准确性,并降低了DNA数字存储 (DDS) 系统的成本.

科学领域:

生物技术是生物技术.
信息科学信息科学信息科学
数据存储数据存储数据存储

背景情况:

复合DNA字母合并核酸以增加DNA数字存储 (DDS) 的逻辑密度.
复合字母的高错误率使数据检索变得复杂,并增加了成本.

研究的目的:

介绍Derrick-cp,这是DDS的一个新的软决策解码算法.
提高基于复合字母的DDS的错误纠正和成本效益.

主要方法:

开发了Derrick-cp算法,利用复合字母的差异错误灵敏度.
应用软决策解码来提高Reed-Solomon代码的性能.
对现有数据集和模拟实验进行比较分析.

主要成果:

德里克-cp显著提高了超出硬决策限制的纠错性能.
与传统方法相比,测序深度要求减少了一半.
降低了高达22%的总体成本.

结论:

德里克-cp有效地解决了DDS的复合DNA字母中的错误率.
这一进步提高了DDS的精度和成本效益.
德里克-cp对于高密度DNA数据存储的实际实施至关重要.

关键词:

DNA数字存储 (DDS) 是一种数字存储系统.复合DNA字母组成的复合DNA字母错误纠正代码 (ECC) 是一个错误纠正代码.软决策解码的解码方法

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