Data storage in cellular DNA: contextualizing diverse encoding schemes

Nature has been using DNA to store biological data for millions of years, and finally humans are learning to use the same medium for our own data. In this paper, we survey the field of cellular DNA encoding, where encoding schemes are used to insert data into pcDNA and ncDNA areas while bypassing th...

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Bibliographic Details
Published in:Evolutionary intelligence 2021-06, Vol.14 (2), p.331-343
Main Authors: Dagher, Gaby G., Machado, Anthony P., Davis, Eddie C., Green, Thomas, Martin, John, Ferguson, Matthew
Format: Article
Language:English
Subjects:
Applications of Mathematics
Artificial Intelligence
Bioinformatics
Constrictions
Control
Data storage
Engineering
Mathematical and Computational Engineering
Mechatronics
Robotics
Special Issue
Statistical Physics and Dynamical Systems
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Summary:Nature has been using DNA to store biological data for millions of years, and finally humans are learning to use the same medium for our own data. In this paper, we survey the field of cellular DNA encoding, where encoding schemes are used to insert data into pcDNA and ncDNA areas while bypassing the biological restrictions associated with those areas. We first characterize the unique bio-restrictions associated with existing cellular DNA encoding schemes, then we contrast the schemes with respect to the restrictions they meet, supported features, and implementation details. We discuss the pros and cons of the implementation of each encoding scheme, and make recommendations accordingly. Finally, we highlight existing gaps, and provide our insight into future research directions.
ISSN:1864-5909
1864-5917
DOI:10.1007/s12065-019-00202-z