A empirical comparison of preservation methods for synthetic DNA data storage

Autor: Rachel McAmis, A. Xavier Kohll, Karin Strauss, Robert N. Grass, Siena Dumas Ang, Weida D. Chen, Lee Organick, Luis Ceze, Bichlien H. Nguyen
Rok vydání: 2020
Předmět:
Popis: Synthetic DNA has recently risen as a viable alternative for long-term digital data storage. To ensure that information is safely recovered after storage, it is essential to appropriately preserve the physical DNA molecules encoding the data. While preservation of biological DNA has been studied previously, synthetic DNA differs in that it is typically much shorter in length, it has different sequence profiles with fewer, if any, repeats (or homopolymers), and it has different contaminants. In this paper we evaluate nine different methods used to preserve data files encoded in synthetic DNA by accelerated aging of nearly 29,000 DNA sequences. In addition to a molecular count comparison, we also sequence and analyze the DNA after aging. Our findings show that errors and erasures are stochastic and show no practical distribution difference between preservation methods. Finally, we compare the physical density of these methods and provide a stability versus density trade-offs discussion.
Databáze: OpenAIRE