DNA assembly for nanopore data storage readout

Randolph Lopez, Yuan-Jyue Chen, Siena Dumas Ang, Sergey Yekhanin, Konstantin Makarychev, Miklos Z Racz, Georg Seelig, Karin Strauss and Luis Ceze ()
Additional contact information
Randolph Lopez: University of Washington
Yuan-Jyue Chen: Microsoft Research
Siena Dumas Ang: Microsoft Research
Sergey Yekhanin: Microsoft Research
Konstantin Makarychev: Microsoft Research
Miklos Z Racz: Microsoft Research
Georg Seelig: University of Washington
Karin Strauss: Microsoft Research
Luis Ceze: University of Washington

Nature Communications, 2019, vol. 10, issue 1, 1-9

Abstract: Abstract Synthetic DNA is becoming an attractive substrate for digital data storage due to its density, durability, and relevance in biological research. A major challenge in making DNA data storage a reality is that reading DNA back into data using sequencing by synthesis remains a laborious, slow and expensive process. Here, we demonstrate successful decoding of 1.67 megabytes of information stored in short fragments of synthetic DNA using a portable nanopore sequencing platform. We design and validate an assembly strategy for DNA storage that drastically increases the throughput of nanopore sequencing. Importantly, this assembly strategy is generalizable to any application that requires nanopore sequencing of small DNA amplicons.

Date: 2019
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DOI: 10.1038/s41467-019-10978-4

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