Pragmatic soft-decision data readout of encoded large DNA.

IF 6.8 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Qi Ge, Rui Qin, Shuang Liu, Quan Guo, Changcai Han, Weigang Chen
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引用次数: 0

Abstract

The encoded large DNA can be cloned and stored in vivo, capable of write-once and stable replication for multiple retrievals, offering potential in economic data archiving. Nanopore sequencing is advantageous in data access of large DNA due to its rapidity and long-read sequencing capability. However, the data readout is commonly limited by insertion and deletion (indel) errors and sequence assembly complexity. Here, a pragmatic soft-decision data readout is presented, achieving assembly-free sequence reconstruction, indel error correction, and ultra-low coverage data readout. Specifically, the watermark is cleverly embedded within large DNA fragments, allowing for the direct localization of raw reads via watermark alignment to avoid complex read assembly. A soft-decision forward-backward algorithm is proposed, which can identify indel errors and provide probability information to the error correction code, enabling error-free data recovery. Additionally, a minimum state transition is maintained, and a read segmentation is incorporated to achieve fast information reading. The readout assays for two circular plasmids (~51 kb) with different coding rates were demonstrated and achieved error-free recovery directly from noisy reads (error rate ~1%) at coverage of 1-4×. Simulations conducted on large-scale datasets across various error rates further confirm the scalability of the method and its robust performance under extreme conditions. This readout method enables nearly single-molecule recovery of large DNA, particularly suitable for rapid readout of DNA storage.

编码大DNA的实用软决策数据读出。
编码后的大DNA可以在体内克隆和存储,具有一次写入和多次检索稳定复制的能力,具有经济数据存档的潜力。纳米孔测序由于其快速和长读测序能力,在大片段DNA的数据获取中具有优势。然而,数据读出通常受到插入和删除(indel)错误和序列组装复杂性的限制。本文提出了一种实用的软决策数据读出方法,实现了无装配序列重构、indel纠错和超低覆盖率数据读出。具体来说,水印巧妙地嵌入在大的DNA片段中,允许通过水印对齐直接定位原始读取,以避免复杂的读取组装。提出了一种软判决前向后向算法,该算法能够识别错误并向纠错码提供概率信息,实现无错误数据恢复。此外,还保持了最小的状态转换,并结合了读分割以实现快速的信息读取。用不同编码率的两个圆形质粒(~51 kb)进行了读出实验,在1-4倍的覆盖率下,直接从噪声读出(错误率~1%)中实现了无错误恢复。在各种错误率的大规模数据集上进行的仿真进一步证实了该方法的可扩展性及其在极端条件下的鲁棒性。这种读出方法可以实现几乎单分子的大DNA恢复,特别适用于DNA存储的快速读出。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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