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Stabilizing synthetic data in the DNA of living organisms

机译:稳定活生物体DNA中的合成数据

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Data-encoding synthetic DNA, inserted into the genome of a living organism, is thought to be more robust than the current media. Because the living genome is duplicated and copied into new generations, one of the merits of using DNA material is long-term data storage within heritable media. A disadvantage of this approach is that encoded data can be unexpectedly broken by mutation, deletion, and insertion of DNA, which occurs naturally during evolution and prolongation, or laboratory experiments. For this reason, several information theory-based approaches have been developed as an error check of broken DNA data in order to achieve data durability. These approaches cannot efficiently recover badly damaged data-encoding DNA. We recently developed a DNA data-storage approach based on the multiple sequence alignment method to achieve a high level of data durability. In this paper, we overview this technology and discuss strategies for optimal application of this approach.
机译:插入生物体基因组中的编码数据的合成DNA被认为比目前的媒体更强大。由于活的基因组被复制并复制到了新世代,因此使用DNA材料的优点之一是可遗传性介质中的长期数据存储。这种方法的缺点是,编码的数据可能会因DNA的突变,缺失和插入而意外破坏,而DNA的进化,延长或实验室实验中会自然发生。由于这个原因,已经开发了几种基于信息论的方法来对损坏的DNA数据进行错误检查,以实现数据的持久性。这些方法无法有效地恢复严重损坏的数据编码DNA。我们最近开发了一种基于多序列比对方法的DNA数据存储方法,以实现高水平的数据持久性。在本文中,我们概述了该技术并讨论了该方法的最佳应用策略。

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