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BioCode: Two biologically compatible Algorithms for embedding data in non-coding and coding regions of DNA

机译:BioCode:两种将数据嵌入DNA非编码区和编码区的生物兼容算法

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摘要

BackgroundIn recent times, the application of deoxyribonucleic acid (DNA) has diversified with the emergence of fields such as DNA computing and DNA data embedding. DNA data embedding, also known as DNA watermarking or DNA steganography, aims to develop robust algorithms for encoding non-genetic information in DNA. Inherently DNA is a digital medium whereby the nucleotide bases act as digital symbols, a fact which underpins all bioinformatics techniques, and which also makes trivial information encoding using DNA straightforward. However, the situation is more complex in methods which aim at embedding information in the genomes of living organisms. DNA is susceptible to mutations, which act as a noisy channel from the point of view of information encoded using DNA. This means that the DNA data embedding field is closely related to digital communications. Moreover it is a particularly unique digital communications area, because important biological constraints must be observed by all methods. Many DNA data embedding algorithms have been presented to date, all of which operate in one of two regions: non-coding DNA (ncDNA) or protein-coding DNA (pcDNA).
机译:背景技术近年来,随着DNA计算和DNA数据嵌入等领域的出现,脱氧核糖核酸(DNA)的应用变得多样化。 DNA数据嵌入(也称为DNA水印或DNA隐写术)旨在开发强大的算法来编码DNA中的非遗传​​信息。 DNA本质上是一种数字介质,核苷酸碱基充当数字符号,这是所有生物信息技术的基础,并且也使使用DNA进行琐碎的信息编码变得简单。但是,在旨在将信息嵌入生物体基因组中的方法中,情况更为复杂。 DNA易受突变的影响,从使用DNA编码的信息的角度来看,突变会充当嘈杂的通道。这意味着DNA数据嵌入领域与数字通信密切相关。此外,这是一个特别独特的数字通信领域,因为必须通过所有方法来观察重要的生物学限制。迄今为止,已经提出了许多DNA数据嵌入算法,所有算法都在两个区域之一中运行:非编码DNA(ncDNA)或蛋白质编码DNA(pcDNA)。

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