Genomic encryption of digital data stored in synthetic DNA

Grass, Robert N.; Heckel, Reinhard; Dessimoz, Christophe; Stark, Wendelin J.

doi:10.1101/831883

Cited by 2 publications

(3 citation statements)

References 38 publications

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“…In (7), Iter and t max , respectively, represent the current number of iterations and the maximum number of iterations, and α 2 is the fixed value to control the development capacity. In addition, parameter α 1 is used to enhance the diversity and exploration capability of the population, as follows:…”

Section: A Equilibrium Optimizermentioning

confidence: 99%

“…Their experiments proved that ddPCR is an effective method for detecting DNA storage. In addition, Grass et al [7] reported a strategy of using personal genetic information to securely store valuable information in synthetic DNA based on security considerations as well as using personal genetic information to personalize key protection. In 2020, Meiser [8] released a DNA storage experiment program, providing steps and precise instructions for converting digital information into DNA sequences and then regaining the information through DNA sequencing.…”

Section: Introductionmentioning

confidence: 99%

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Combinatorial constraint coding based on the EORS algorithm in DNA storage

Xiaoru

2021

PLoS ONE

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The development of information technology has produced massive amounts of data, which has brought severe challenges to information storage. Traditional electronic storage media cannot keep up with the ever-increasing demand for data storage, but in its place DNA has emerged as a feasible storage medium with high density, large storage capacity and strong durability. In DNA data storage, many different approaches can be used to encode data into codewords. DNA coding is a key step in DNA storage and can directly affect storage performance and data integrity. However, since errors are prone to occur in DNA synthesis and sequencing, and non-specific hybridization is prone to occur in the solution, how to effectively encode DNA has become an urgent problem to be solved. In this article, we propose a DNA storage coding method based on the equilibrium optimization random search (EORS) algorithm, which meets the Hamming distance, GC content and no-runlength constraints and can reduce the error rate in storage. Simulation experiments have shown that the size of the DNA storage code set constructed by the EORS algorithm that meets the combination constraints has increased by an average of 11% compared with previous work. The increase in the code set means that shorter DNA chains can be used to store more data.

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Section: A Equilibrium Optimizermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Combinatorial constraint coding based on the EORS algorithm in DNA storage

Xiaoru

2021

PLoS ONE

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“…DNA is a promising medium for archival data because of its superior storage density and longevity. 1,2 It can also be selectively accessed, queried like a database, and even operated on like a parallel computer. [3][4][5] Finally, whereas conventional archival media are consistently at the risk of becoming unreadable in the future due to both planned and unintended obsolescence, DNA is guaranteed to remain readable.…”

Section: Introductionmentioning

confidence: 99%

DNA-based data storage via combinatorial assembly

Roquet

Sp²,

Sa³

et al. 2021

Preprint

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Persistent data storage is the basis of all modern information systems. The long-term value and volume of data are growing at an accelerating rate and pushing extant storage systems to their limits. DNA offers exciting potential as a storage medium, but no practical scheme has been proposed to date that can scale beyond narrow-band write rates. Here, we demonstrate a combinatorial DNA data encoding scheme capable of megabits per second write speeds. The system relies on rapid, combinatorial assembly of multiple smaller DNA parts that are dispensed through inkjet printing. To demonstrate this approach, we wrote approximately 25 kB of information into DNA using our system and read the information back out with commercially available nanopore sequencing. Moreover, we demonstrate the ability to replicate and selectively access the information while it is in DNA, opening up the possibility of more sophisticated DNA computation.

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Genomic encryption of digital data stored in synthetic DNA

Cited by 2 publications

References 38 publications

Combinatorial constraint coding based on the EORS algorithm in DNA storage

Combinatorial constraint coding based on the EORS algorithm in DNA storage

DNA-based data storage via combinatorial assembly

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