Uncertainties in synthetic DNA-based data storage
Autor: | Biao Ma, Chao Zhao, Chengtao Xu, Hong Liu |
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Rok vydání: | 2021 |
Předmět: |
0303 health sciences
AcademicSubjects/SCI00010 business.industry Information Storage and Retrieval DNA 02 engineering and technology Data loss Biology 021001 nanoscience & nanotechnology Replication (computing) Field (computer science) 03 medical and health sciences Digital Data Storage Data redundancy Data integrity Computer data storage Genes Synthetic Genetics Biochemical engineering Survey and Summary 0210 nano-technology business Error detection and correction 030304 developmental biology |
Zdroj: | Nucleic Acids Research |
ISSN: | 1362-4962 0305-1048 |
DOI: | 10.1093/nar/gkab230 |
Popis: | Deoxyribonucleic acid (DNA) has evolved to be a naturally selected, robust biomacromolecule for gene information storage, and biological evolution and various diseases can find their origin in uncertainties in DNA-related processes (e.g. replication and expression). Recently, synthetic DNA has emerged as a compelling molecular media for digital data storage, and it is superior to the conventional electronic memory devices in theoretical retention time, power consumption, storage density, and so forth. However, uncertainties in the in vitro DNA synthesis and sequencing, along with its conjugation chemistry and preservation conditions can lead to severe errors and data loss, which limit its practical application. To maintain data integrity, complicated error correction algorithms and substantial data redundancy are usually required, which can significantly limit the efficiency and scale-up of the technology. Herein, we summarize the general procedures of the state-of-the-art DNA-based digital data storage methods (e.g. write, read, and preservation), highlighting the uncertainties involved in each step as well as potential approaches to correct them. We also discuss challenges yet to overcome and research trends in the promising field of DNA-based data storage. |
Databáze: | OpenAIRE |
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