2016
DOI: 10.1101/096792
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A highly parallel strategy for storage of digital information in living cells

Abstract: Encoding arbitrary digital information in DNA has attracted attention as a potential avenue for large scale and long term data storage. However, in order to enable DNA data storage technologies there needs to be improvements in data storage fidelity (tolerance to mutation), the facility of writing and reading the data (biases and systematic error arising from synthesis and sequencing), and overall scalability. To this end, we have developed and implemented an encoding scheme that is suitable for detecting and … Show more

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Cited by 5 publications
(6 citation statements)
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“…There is increasing interest in using DNA as a medium for information storage ( 64 , 65 ). Recently, researchers began experimenting with storing information in plasmids, as they can be rapidly replicated ( 66 , 67 ). A technology for encrypting and securing digital information using cybersecurity techniques has also been developed for plasmids ( 36 , 37 ).…”
Section: Discussionmentioning
confidence: 99%
“…There is increasing interest in using DNA as a medium for information storage ( 64 , 65 ). Recently, researchers began experimenting with storing information in plasmids, as they can be rapidly replicated ( 66 , 67 ). A technology for encrypting and securing digital information using cybersecurity techniques has also been developed for plasmids ( 36 , 37 ).…”
Section: Discussionmentioning
confidence: 99%
“…There is increasing interest in using DNA as a medium for information storage (58,59). Recently, researchers began experimenting with storing information in plasmids, as they can be rapidly replicated (60,61). A technology for encrypting and securing digital information using cybersecurity techniques has also been developed for plasmids (62).…”
Section: Discussionmentioning
confidence: 99%
“…In 2017, Shipman et al (2017)successfully stored data in living cells. In 2018, Akhmetov et al (2018) proposed a long-term parallel storage of information in living cells. The method uses the pruning optimization algorithm.…”
Section: Introductionmentioning
confidence: 99%