DNA Bloom Filter enables anti-contamination and file version control for DNA-based data storage

Abstract DNA storage is one of the most promising ways for future information storage due to its high data storage density, durable storage time and low maintenance cost. However, errors are inevitable during synthesizing, storing and sequencing. Currently, many error correction algorithms have been...

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Bibliographic Details
Published in:	Briefings in bioinformatics Vol. 25; no. 3
Main Authors:	Li, Yiming, Zhang, Haoling, Chen, Yuxin, Shen, Yue, Ping, Zhi
Format:	Journal Article
Language:	English
Published:	England Oxford University Press 27.03.2024 Oxford Publishing Limited (England)
Subjects:	Algorithms Codec Contamination Data analysis Data storage Data structures Density Deoxyribonucleic acid DNA DNA biosynthesis DNA structure Error correction Gene sequencing Information processing Information retrieval Information storage Maintenance costs Nucleotide sequence Problem Solving Protocol Version control anti-contamination DNA-based data storage bloom filter file version control
ISSN:	1467-5463, 1477-4054, 1477-4054
Online Access:	Get full text
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