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Review

Nanopore Detection Assisted DNA Information Processing

1
School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
2
Department of Computer Science and Technology, School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Nanomaterials 2022, 12(18), 3135; https://doi.org/10.3390/nano12183135
Submission received: 6 August 2022 / Revised: 4 September 2022 / Accepted: 6 September 2022 / Published: 9 September 2022

Abstract

The deoxyribonucleotide (DNA) molecule is a stable carrier for large amounts of genetic information and provides an ideal storage medium for next-generation information processing technologies. Technologies that process DNA information, representing a cross-disciplinary integration of biology and computer techniques, have become attractive substitutes for technologies that process electronic information alone. The detailed applications of DNA technologies can be divided into three components: storage, computing, and self-assembly. The quality of DNA information processing relies on the accuracy of DNA reading. Nanopore detection allows researchers to accurately sequence nucleotides and is thus widely used to read DNA. In this paper, we introduce the principles and development history of nanopore detection and conduct a systematic review of recent developments and specific applications in DNA information processing involving nanopore detection and nanopore-based storage. We also discuss the potential of artificial intelligence in nanopore detection and DNA information processing. This work not only provides new avenues for future nanopore detection development, but also offers a foundation for the construction of more advanced DNA information processing technologies.
Keywords: nanopore detection; DNA storage; ONT nanopores; artificial intelligence; DNA information processing nanopore detection; DNA storage; ONT nanopores; artificial intelligence; DNA information processing

Share and Cite

MDPI and ACS Style

Song, Z.; Liang, Y.; Yang, J. Nanopore Detection Assisted DNA Information Processing. Nanomaterials 2022, 12, 3135. https://doi.org/10.3390/nano12183135

AMA Style

Song Z, Liang Y, Yang J. Nanopore Detection Assisted DNA Information Processing. Nanomaterials. 2022; 12(18):3135. https://doi.org/10.3390/nano12183135

Chicago/Turabian Style

Song, Zichen, Yuan Liang, and Jing Yang. 2022. "Nanopore Detection Assisted DNA Information Processing" Nanomaterials 12, no. 18: 3135. https://doi.org/10.3390/nano12183135

APA Style

Song, Z., Liang, Y., & Yang, J. (2022). Nanopore Detection Assisted DNA Information Processing. Nanomaterials, 12(18), 3135. https://doi.org/10.3390/nano12183135

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