Towards practical, high-capacity, low-maintenance information storage in synthesized DNA.

Towards practical, high-capacity, low-maintenance information storage in synthesized DNA.
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DOI:
10.1038/nature11875
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发表时间:
2013-02-07
期刊:
影响因子:
64.8
通讯作者:
Birney, Ewan
Birney, Ewan
中科院分区:
综合性期刊1区
文献类型:
--
作者:
Goldman, Nick;Bertone, Paul;Chen, Siyuan;Dessimoz, Christophe;LeProust, Emily M.;Sipos, Botond;Birney, Ewan

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向用于创建、传输和存储信息的数字系统的转变导致存档工作日益复杂,需要对数字媒体进行积极、持续的维护。DNA是一种极具吸引力的信息存储目标,因为它具有高密度信息编码能力、在易于实现的条件下寿命长以及作为信息载体的良好记录。以前的基于DNA的信息存储方法只对少量信息进行编码,或者不适合扩大规模,并且没有使用健壮的纠错,也没有对其用于大规模信息归档的成本效益进行审查。在这里,我们描述了一种可扩展的方法,它可以可靠地存储比以前处理过的更多的信息。我们将总容量为739kB的计算机文件和估计为5.2×106比特的香农信息编码成DNA代码,合成该DNA,对其进行测序,并以100%的准确率重建原始文件。理论分析表明,我们的DNA存储方案的规模远远超出了当前的全球信息量。这些结果表明,DNA存储对于大规模数字归档来说是一种现实的技术,对于低访问率、长达数世纪的归档任务来说,这种技术可能已经具有成本效益。在十年内,随着成本在技术进步的现实情景下迅速下降,对于不到50年的档案来说,这可能是划算的。
The shift to digital systems for the creation, transmission and storage of information has led to increasing complexity in archiving, requiring active, ongoing maintenance of the digital media. DNA is an attractive target for information storage because of its capacity for high density information encoding, longevity under easily-achieved conditions and proven track record as an information bearer. Previous DNA-based information storage approaches have encoded only trivial amounts of information or were not amenable to scaling-up, and used no robust error-correction and lacked examination of their cost-efficiency for large-scale information archival. Here we describe a scalable method that can reliably store more information than has been handled before. We encoded computer files totalling 739 kB of hard disk storage and with an estimated Shannon information of 5.2 × 106 bits into a DNA code, synthesised this DNA, sequenced it and reconstructed the original files with 100% accuracy. Theoretical analysis indicates that our DNA-storage scheme scales far beyond current global information volumes. These results demonstrate DNA-storage to be a realistic technology for large-scale digital archiving that may already be cost-effective for low access, multi-century-long archiving tasks. Within a decade, as costs fall rapidly under realistic scenarios for technological advances, it may be cost-effective for sub-50-year archival.
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