Sign in
Synthetic BiologyScientific Reports
Peer-reviewed journal article

Magnetic DNA random access memory with nanopore readouts and exponentially-scaled combinatorial addressing

Billy T. LauiD, Shubham ChandakiD, Sharmili RoyiD, Kedar TatwawadiiD, Mary K. WoottersiD, Tsachy WeissmaniD, Hanlee P. JiiD

Abstract

The storage of data in DNA typically involves encoding and synthesizing data into short oligonucleotides, followed by reading with a sequencing instrument. Major challenges include the molecular consumption of synthesized DNA, issues with basecalling errors, and limitations with scaling up read access operations for individual data elements. Addressing these challenges, we describe a DNA storage system called MDRAM (Magnetic DNA-based Random Access Memory) that enables repetitive and efficient readouts of targeted files with nanopore-based sequencing. Through conjugation of synthesized DNA to magnetic beads, we enabled repeated readouts of data while preserving the original DNA analyte and maintaining data readout quality. MDRAM also utilizes an efficient convolutional coding scheme that leverages soft information in raw nanopore sequencing signals to achieve information reading costs comparable to Illumina sequencing despite substantially higher error rates. Finally, we demonstrate a proof-of-concept DNA-based proto-filesystem that enables an exponentially-scalable data address space using only small numbers of targeting primers for assembly and readout. ONE-SENTENCE SUMMARYWe demonstrate a novel DNA data storage system that leverages conjugation of DNA onto magnetic beads, new computational advances in data encoding, and exponentially scalable access of individual data elements.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISYazdi '17Roquet '21Tabatabaei '20Jia '26Tabatabaei '22Tomek '19
76% semantic matchBioinformatics
S. M. Hossein Tabatabaei Yazdi, Ryan Gabrys, Olgica Milenković·Scientific Reports·Jul 4, 2017· 361 citations