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纳米孔解码具有数据存储速度和多功能

Kevin D Volkel¹, Paul W Hook², Albert Keung³

¹Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, 27606, United States.

Bioinformatics (Oxford, England)

|January 8, 2025

概括

一个新的DNA数据存储解码器显著提高了纳米孔测序的吞吐量,使得DNA和RNA数据的有效阅读能够提高读取密度和可管理的错误率.

科学领域:

生物技术是生物技术.
生物信息学是一种生物信息学.
数据存储数据存储数据存储

背景情况:

纳米孔测序技术为DNA数据存储提供了高吞吐量和精度.
现有的纳米孔测序解码设计在读取密度,错误率或计算时间方面具有低效.
需要灵活高效的解码设计,以纳米孔容量为适应DNA数据存储的能力.

研究的目的:

使用纳米孔技术设计一种用于DNA数据存储的新型单读每链解码器.
提高吞吐量,降低错误率,并使DNA和RNA分子的有效阅读成为可能.
开发一个软解码算法,适合在GPU上进行并行处理.

主要方法:

开发了一种新的单读每链解码器,利用一种新的软解码算法.
在HEDGES卷积代码上实施和评估硬和软解码器,包括一个新的对齐矩阵梯形 (AMT) 软解码器.
利用GPU并行处理软解码算法来提高计算速度.

主要成果:

新的AMT软解码器实现了比以前的先进软解码器提高257倍的吞吐量,字节错误率为3.52%.
实现了0.33位/基的读取密度,与以前基于MSA的解码器相比增加了4倍.
与DNA分子相比,RNA分子显示了85%的无错读取率.

结论:

开发的软解码器显著提高了基于纳米孔的DNA数据存储的效率和可扩展性.
GPU可并行算法允许更广泛地探索系统设计和更高的读取密度.
纳米孔测序是一种可行且越来越高效的DNA数据存储技术,适用于DNA和RNA分子.

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