Please use this identifier to cite or link to this item: https://doi.org/10.1186/s13036-019-0211-2
Title: High capacity DNA data storage with variable-length Oligonucleotides using repeat accumulate code and hybrid mapping
Authors: Wang, Y.
Noor-A-Rahim, M.
Zhang, J. 
Gunawan, E.
Guan, Y.L.
Poh, C.L. 
Keywords: DNA data storage
Long term data storage
Next-generation information storage
Issue Date: 2019
Publisher: BioMed Central Ltd.
Citation: Wang, Y., Noor-A-Rahim, M., Zhang, J., Gunawan, E., Guan, Y.L., Poh, C.L. (2019). High capacity DNA data storage with variable-length Oligonucleotides using repeat accumulate code and hybrid mapping. Journal of Biological Engineering 13 (1) : 89. ScholarBank@NUS Repository. https://doi.org/10.1186/s13036-019-0211-2
Rights: Attribution 4.0 International
Abstract: Background: With the inherent high density and durable preservation, DNA has been recently recognized as a distinguished medium to store enormous data over millennia. To overcome the limitations existing in a recently reported high-capacity DNA data storage while achieving a competitive information capacity, we are inspired to explore a new coding system that facilitates the practical implementation of DNA data storage with high capacity. Result: In this work, we devised and implemented a DNA data storage scheme with variable-length oligonucleotides (oligos), where a hybrid DNA mapping scheme that converts digital data to DNA records is introduced. The encoded DNA oligos stores 1.98 bits per nucleotide (bits/nt) on average (approaching the upper bound of 2 bits/nt), while conforming to the biochemical constraints. Beyond that, an oligo-level repeat-accumulate coding scheme is employed for addressing data loss and corruption in the biochemical processes. With a wet-lab experiment, an error-free retrieval of 379.1 KB data with a minimum coverage of 10x is achieved, validating the error resilience of the proposed coding scheme. Along with that, the theoretical analysis shows that the proposed scheme exhibits a net information density (user bits per nucleotide) of 1.67 bits/nt while achieving 91% of the information capacity. Conclusion: To advance towards practical implementations of DNA storage, we proposed and tested a DNA data storage system enabling high potential mapping (bits to nucleotide conversion) scheme and low redundancy but highly efficient error correction code design. The advancement reported would move us closer to achieving a practical high-capacity DNA data storage system. © 2019 The Author(s).
Source Title: Journal of Biological Engineering
URI: https://scholarbank.nus.edu.sg/handle/10635/209531
ISSN: 1754-1611
DOI: 10.1186/s13036-019-0211-2
Rights: Attribution 4.0 International
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