Long term data preservation using DNA

Recent growth of digital data means that we require new storage strategies with far more scalability, longevity, and environmental sustainability than existing storage solutions. Deoxyribonucleic acid (DNA)-based data storage appears to be a promising storage alternative, providing unparalleled density, longevity, and durability. This study will focus on the use of DNA as a medium for archival data storage, specifically in exploring the encoding, decoding, and correcting errors of DNA data, not the chemistry of the use of DNA because that has little to do with the study. The primary concern of the study is in exploring the potential to develop viable encoding methods that will produce a reduction in the cost and time of depreciation obtained from retrieving DNA data. As we address computation concerns in encoding, decoding, and correcting errors, we hope to improve the practical use of DNA to be a potentially long-term archiving solution. The only significant study activity will be reviewing and comparing the recent activity in DNA storage algorithms, involving a practical sensing application that shows real-time data storage. We will also review performance evaluations by looking at metrics such as distance measures exploring the differences in similarities among DNA sequences, along with numerous performance evaluations. These metrics will allow us to evaluate the success of the algorithms in infrastructure reliability, efficiency, and scalability. This study will make a contribution to the domain of computational methods used in DNA data storage and demonstrate the success of plausible encoding.