Abstract
With the development of the information age, a large amount of data is used by us, and data storage has become one of the most important tasks. At present our data storage is mainly based on the disk storage that is stored online. In 1959, American physicist fermann coined the concept of DNA storage. DNA storage USES the huge amount of base pairs in DNA, and the stability of DNA, which is a very promising data storage research direction in the future. Perhaps years later, a few bottles of DNA from a teacup can store hundreds of billions of data around the world. Ignoring the reading or writing error biologically, this study based on the three-entry self-code, designed a coding system for DNA storage, and successfully encoded the various characters (letters and special characters) in an English article to be stored in the twill file for base pairs. For the decoding section, we view the base pair’s decoding task as an NMT task. We designed and used the practice of the transformer model that is common in neural machine translation and applied to the Transformer model of the DNA decoding task, and the effect was significant.
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Kong, S. (2023). Design of DNA Storage Coding and Encoding System Based on Transformer. In: Xu, Z., Alrabaee, S., Loyola-González, O., Cahyani, N.D.W., Ab Rahman, N.H. (eds) Cyber Security Intelligence and Analytics. CSIA 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 173. Springer, Cham. https://doi.org/10.1007/978-3-031-31775-0_54
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DOI: https://doi.org/10.1007/978-3-031-31775-0_54
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