Towards Chinese text and DNA shift encoding scheme based on biomass plasmid storage.

IF 2.8 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Frontiers in bioinformatics Pub Date : 2023-10-12 eCollection Date: 2023-01-01 DOI:10.3389/fbinf.2023.1276934
Xu Yang, Langwen Lai, Xiaoli Qiang, Ming Deng, Yuhao Xie, Xiaolong Shi, Zheng Kou
{"title":"Towards Chinese text and DNA shift encoding scheme based on biomass plasmid storage.","authors":"Xu Yang, Langwen Lai, Xiaoli Qiang, Ming Deng, Yuhao Xie, Xiaolong Shi, Zheng Kou","doi":"10.3389/fbinf.2023.1276934","DOIUrl":null,"url":null,"abstract":"<p><p>DNA, as the storage medium in organisms, can address the shortcomings of existing electromagnetic storage media, such as low information density, high maintenance power consumption, and short storage time. Current research on DNA storage mainly focuses on designing corresponding encoders to convert binary data into DNA base data that meets biological constraints. We have created a new Chinese character code table that enables exceptionally high information storage density for storing Chinese characters (compared to traditional UTF-8 encoding). To meet biological constraints, we have devised a DNA shift coding scheme with low algorithmic complexity, which can encode any strand of DNA even has excessively long homopolymer. The designed DNA sequence will be stored in a double-stranded plasmid of 744bp, ensuring high reliability during storage. Additionally, the plasmid's resistance to environmental interference ensuring long-term stable information storage. Moreover, it can be replicated at a lower cost.</p>","PeriodicalId":73066,"journal":{"name":"Frontiers in bioinformatics","volume":"3 ","pages":"1276934"},"PeriodicalIF":2.8000,"publicationDate":"2023-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10602677/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in bioinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/fbinf.2023.1276934","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"MATHEMATICAL & COMPUTATIONAL BIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

DNA, as the storage medium in organisms, can address the shortcomings of existing electromagnetic storage media, such as low information density, high maintenance power consumption, and short storage time. Current research on DNA storage mainly focuses on designing corresponding encoders to convert binary data into DNA base data that meets biological constraints. We have created a new Chinese character code table that enables exceptionally high information storage density for storing Chinese characters (compared to traditional UTF-8 encoding). To meet biological constraints, we have devised a DNA shift coding scheme with low algorithmic complexity, which can encode any strand of DNA even has excessively long homopolymer. The designed DNA sequence will be stored in a double-stranded plasmid of 744bp, ensuring high reliability during storage. Additionally, the plasmid's resistance to environmental interference ensuring long-term stable information storage. Moreover, it can be replicated at a lower cost.

Abstract Image

Abstract Image

Abstract Image

基于生物量质粒存储的中文文本和DNA移位编码方案。
DNA作为生物体内的存储介质,可以解决现有电磁存储介质信息密度低、维护功耗高、存储时间短等缺点。目前对DNA存储的研究主要集中在设计相应的编码器,将二进制数据转换为满足生物学约束的DNA基础数据。我们创建了一个新的汉字码表,它可以实现极高的信息存储密度来存储汉字(与传统的UTF-8编码相比)。为了满足生物学的限制,我们设计了一种算法复杂度较低的DNA移位编码方案,它可以编码任何链的DNA,甚至可以编码过长的同聚物。设计的DNA序列将储存在744bp的双链质粒中,确保储存过程中的高可靠性。此外,质粒对环境干扰的抵抗力确保了信息的长期稳定存储。此外,它可以以更低的成本进行复制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
2.60
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信