GC-balanced polar codes correcting insertions, deletions and substitutions for DNA storage.

IF 6.8 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Rui Zhang, Huaming Wu
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引用次数: 0

Abstract

In order to address the insertion, deletion, and substitution (IDS) errors inherent in deoxyribonucleic acid (DNA) storage channels during DNA synthesis and sequencing, we propose a novel GC-balanced polar code scheme tailored to rectify these errors by incorporating the unique characteristics of the DNA storage channel into the polar code design. The innovation lies in modeling errors as a drift vector, reflecting deviations from the desired DNA sequence, aiming to improve the reliability of DNA-based data storage. In this paper, we developed a GC-balanced polar code scheme named DNA-BP Code, which stands for balanced polar code for DNA storage, that effectively rectifies IDS errors in DNA storage. The computational complexity of the proposed encoding and decoding algorithms is $\mathcal{O}(N\log N)$ with respect to the code length $N$. Simulation results show the bit error rate and block error rate as functions of the code length and IDS probability, demonstrating the efficacy of our approach in enhancing the accuracy of DNA storage systems.

气相色谱平衡极性编码纠正插入,缺失和取代DNA存储。
为了解决DNA合成和测序过程中脱氧核糖核酸(DNA)存储通道固有的插入、删除和替代(IDS)错误,我们提出了一种新的气相色谱平衡极性编码方案,通过将DNA存储通道的独特特征纳入极性编码设计中来纠正这些错误。创新之处在于将误差建模为漂移向量,反映与期望DNA序列的偏差,旨在提高基于DNA的数据存储的可靠性。在本文中,我们开发了一种GC-balanced polar code方案,名为DNA- bp code,代表DNA存储的平衡极性代码,可以有效地纠正DNA存储中的IDS错误。所提出的编码和解码算法的计算复杂度为$\mathcal{O}(N\log N)$相对于编码长度$N$。仿真结果表明,误码率和块错误率是码长和IDS概率的函数,证明了该方法在提高DNA存储系统准确性方面的有效性。
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来源期刊
Briefings in bioinformatics
Briefings in bioinformatics 生物-生化研究方法
CiteScore
13.20
自引率
13.70%
发文量
549
审稿时长
6 months
期刊介绍: Briefings in Bioinformatics is an international journal serving as a platform for researchers and educators in the life sciences. It also appeals to mathematicians, statisticians, and computer scientists applying their expertise to biological challenges. The journal focuses on reviews tailored for users of databases and analytical tools in contemporary genetics, molecular and systems biology. It stands out by offering practical assistance and guidance to non-specialists in computerized methodologies. Covering a wide range from introductory concepts to specific protocols and analyses, the papers address bacterial, plant, fungal, animal, and human data. The journal's detailed subject areas include genetic studies of phenotypes and genotypes, mapping, DNA sequencing, expression profiling, gene expression studies, microarrays, alignment methods, protein profiles and HMMs, lipids, metabolic and signaling pathways, structure determination and function prediction, phylogenetic studies, and education and training.
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