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https://doi.org/10.1101/836429...
Article . 2019 . Peer-reviewed
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Dynamic DNA-based information storage

Authors: Lin, Kevin N.; Keung, Albert J.; Tuck, James M.;

Dynamic DNA-based information storage

Abstract

Abstract Technological leaps are often driven by key innovations that transform the underlying architectures of systems. Current DNA storage systems largely rely on polymerase chain reaction, which broadly informs how information is encoded, databases are organized, and files are accessed. Here we show that a hybrid ‘toehold’ DNA structure can unlock a fundamentally different, dynamic DNA-based information storage system architecture with broad advantages. This innovation increases theoretical storage densities and capacities by eliminating non-specific DNA-DNA interactions common in PCR and increasing the encodable sequence space. It also provides a physical handle with which to implement a range of in-storage file operations. Finally, it reads files non-destructively by harnessing the natural role of transcription in accessing information from DNA. This simple but powerful toehold structure lays the foundation for an information storage architecture with versatile capabilities.

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green