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ReLume:通过流网络和图表分区来增强DNA存储数据的重建

Lei Xie¹, Ben Cao², Xiaoru Wen¹

¹Key Laboratory of Advanced Design and Intelligent Computing, Ministry of Education, School of Software Engineering, Dalian University, Dalian 116622, PR China.

Methods (San Diego, Calif.)

|April 23, 2025

概括

ReLume通过提高序列恢复率和耐用性来增强DNA数据存储. 这种新的方法使用流网络和图表分区来有效地重建数据,克服精度和硬件限制.

科学领域:

生物技术是生物技术.
计算机科学计算机科学
数据存储数据存储数据存储

背景情况:

DNA数据存储为传统的基于的存储提供了一个有希望的替代方案.
当前的DNA存储方法面临数据错误和长期耐用性的挑战.
有效的数据重建对于实际的DNA数据存储应用至关重要.

研究的目的:

介绍ReLume,一种新的DNA数据重建方法.
为了解决DNA数据存储中的精度和硬件限制.
为了提高存储的DNA数据的耐用性和可靠性.

主要方法:

开发了ReLume,这是一种利用流量网络和图形分区技术的数据重建方法.
设计的ReLume能够在标准硬件 (24GB RAM笔记本电脑) 上处理数以百万计的读数.
评估ReLume的性能与现有的DNA数据存储重建方法相比.

主要成果:

在某些情况下,ReLume显著提高了序列恢复率,甚至超过了它们的两倍.
与其他方法相比,该方法可以减少大约60%的内存使用量.
ReLume 显示了 10 倍的耐用性,确保数据完整性长达 100 年.
在湿实验室DNA存储数据集上实现了高序列恢复率 (73%和93.2%).

结论:

ReLume有效地克服了DNA数据存储中的精度和硬件限制.
该方法为便携和可靠的DNA数据存储提供了可行的解决方案.
ReLume提高了DNA作为长期数据存档解决方案的整体可行性.

关键词:

储存 DNA DNA 的存储.在DNA存储数据重建数据重建.在新的组装 De novo.哈希冲突检测哈希冲突检测

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