高效 DNA 合成代码的构建与特性

IF 2.4 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Molecular, Biological, and Multi-Scale Communications Pub Date : 2024-03-15 DOI:10.1109/TMBMC.2024.3401583

Kees A. Schouhamer Immink;Kui Cai;Tuan Thanh Nguyen;Jos H. Weber

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引用次数: 0

摘要

我们报告了高效合成用于海量数据存储的脱氧核糖核酸（DNA）的编码方法，其中多条 DNA 链是并行合成的。我们研究了信息内容、冗余度以及合成多条并行 DNA 链所需的平均或最大周期数之间的权衡。我们分析了编码方法，如将周期数最小化的引导扰码和约束码。

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Constructions and Properties of Efficient DNA Synthesis Codes

We report on coding methods for efficiently synthesizing deoxyribonucleic acid (DNA) for massive data storage, where a plurality of DNA strands are synthesized in parallel. We examine the trade-offs between the information contents, redundancy, and the average or maximum number of cycles required for synthesizing a plurality of parallel DNA strands. We analyze coding methods such as guided scrambling and constrained codes for minimizing the cycle count.

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来源期刊

IEEE Transactions on Molecular, Biological, and Multi-Scale Communications Mathematics-Modeling and Simulation

CiteScore

3.90

自引率

13.60%

发文量

期刊介绍： As a result of recent advances in MEMS/NEMS and systems biology, as well as the emergence of synthetic bacteria and lab/process-on-a-chip techniques, it is now possible to design chemical “circuits”, custom organisms, micro/nanoscale swarms of devices, and a host of other new systems. This success opens up a new frontier for interdisciplinary communications techniques using chemistry, biology, and other principles that have not been considered in the communications literature. The IEEE Transactions on Molecular, Biological, and Multi-Scale Communications (T-MBMSC) is devoted to the principles, design, and analysis of communication systems that use physics beyond classical electromagnetism. This includes molecular, quantum, and other physical, chemical and biological techniques; as well as new communication techniques at small scales or across multiple scales (e.g., nano to micro to macro; note that strictly nanoscale systems, 1-100 nm, are outside the scope of this journal). Original research articles on one or more of the following topics are within scope: mathematical modeling, information/communication and network theoretic analysis, standardization and industrial applications, and analytical or experimental studies on communication processes or networks in biology. Contributions on related topics may also be considered for publication. Contributions from researchers outside the IEEE’s typical audience are encouraged.