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Article . 2023 . Peer-reviewed
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Article . 2023
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https://dx.doi.org/10.60692/at...
Other literature type . 2023
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Other literature type . 2023
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DNA technology for big data storage and error detection solutions: Hamming code vs Cyclic Redundancy Check (CRC)

تقنية الحمض النووي لتخزين البيانات الكبيرة وحلول الكشف عن الأخطاء: رمز الهامينج مقابل فحص التكرار الدوري (CRC)
Authors: Manar Sais; Najat Rafalia; Jâafar Abouchabaka;

DNA technology for big data storage and error detection solutions: Hamming code vs Cyclic Redundancy Check (CRC)

Abstract

There is an increasing need for high-capacity, highdensity storage media that can retain data for a long time, due to the exponential development in the capacity of information generated. The durability and high information density of synthetic deoxyribonucleic acid (DNA) make it an attractive and promising medium for data storage. DNA data storage technology is expected to revolutionize data storage in the coming years, replacing various Big Data storage technologies. As a medium that addresses the need for high-latency, immutable information storage, DNA has several potential advantages. One of the key advantages of DNA storage is its extraordinary density. Theoretically, a gram of DNA can encode 455 exabytes, or 2 bits per nucleotide. Unlike other digital storage media, synthetic DNA enables large quantities of data to be stored in a biological medium. This reduces the need for traditional storage media such as hard disks, which consume energy and require materials such as plastic or metals, and also often leads to the generation of electronic waste when they become obsolete or damaged. Additionally, although DNA degrades over thousands of years under non-ideal conditions, it is generally readable. Furthermore, as DNA possesses natural reading and writing enzymes as part of its biological functions, it is expected to remain the standard for data retrieval in the foreseeable future. However, the high error rate poses a significant challenge for DNA-based information coding strategies. Currently, it is impossible to execute DNA strand synthesis, amplification, or sequencing errors-free. In order to utilize synthetic DNA as a storage medium for digital data, specialized systems and solutions for direct error detection and correction must be implemented. The goal of this paper is to introduce DNA storage technology, outline the benefits and added value of this approach, and present an experiment comparing the effectiveness of two error detection and correction codes (Hamming and CRC) used in the DNA data storage strategy.

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Keywords

DNA Computing, FOS: Mechanical engineering, DNA Nanotechnology and Bioanalytical Applications, crc, storage, Biological Information Storage, DNA-based Computing and Data Storage, Engineering, hamming, big data, Digital Data Storage, Biochemistry, Genetics and Molecular Biology, error detection, Self-Reconfigurable Robotic Systems and Modular Robotics, synthetic dna, Genetics, GE1-350, DNA nanotechnology, Molecular Biology, Biology, Computer data storage, Data Storage, Mechanical Engineering, Life Sciences, Computer hardware, DNA, Computer science, Environmental sciences, DNA computing, Algorithm, FOS: Biological sciences, Physical Sciences, Computation, energy

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
Published in a Diamond OA journal
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