通过软决策解码,提高DNA数字存储中的纠错能力
Lulu Ding1, Shigang Wu1, Zhihao Hou1,2
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, Shenzhen518120, China.
National science review
|January 12, 2024
概括
这项研究引入了一种用于DNA数字存储 (DDS) 的新型软决策解码方法,增强了错误纠正而不添加冗余. 德里克系统显著提高了各种测序技术的存储容量和可靠性.
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
- 计算机科学 计算机科学
背景情况:
- 当前的DNA数字存储 (DDS) 系统面临错误纠正代码 (ECC) 的局限性,平衡错误纠正与数据冗余.
- 在DDS的一个关键挑战是提高错误弹性,而不会增加存储开销.
研究的目的:
- 为DDS引入软决策解码方法,以克服纠错能力和冗余性之间的权衡.
- 开发一个DNA特定的错误预测模型和新的策略,以提高DDS性能.
主要方法:
- 提出了一个软决策解码方法,集成到Reed-Solomon (RS) 编码的DDS系统中,命名为Derrick.
- 开发了一种特定于DNA的错误预测模型和新的解码策略.
- 通过在体外和在体内的实验与Illumina,PacBio和牛津纳米孔技术 (ONT) 测序验证了该方法.
主要成果:
- 德里克系统在没有额外冗余的情况下显著提高了纠错能力.
- 在ONT测序的体外实验表明,德里克将RS代码的纠错能力翻了一番,并将解码失败减少了229倍.
- 该系统将潜在的最大存储容量扩大了32,388倍,在信息密度和序列深度效率方面超过了最先进的DDS系统.
结论:
- 拟议的软决策解码策略为DNA数字存储提供了实质性的进展.
- 德里克的方法提高了存储容量和可靠性,优于现有的DDS方法.
- 软决策解码策略和德里克的核心组件可以将其推广到其他ECC解码算法.
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