NEW TRENDS OF DIGITAL DATA STORAGE IN DNA

Abstract

Abstract We provide an overview of current DNA-based storage system design strategies as well as associated methods  of  synthesis,  sequencing  and  editing.  Our  work's  analytical  contribution  is  to  construct  and  develop sequences over discrete alphabets that avoid pre-specified address patterns, have balanced baseline information, and exhibit other related substring constraints. Data storage demand is exponentially increasing, but the capacity of current storage media is not being preserved. Use DNA to store data is an attractive option because it is extremely dense, with a raw limit of 1 exabyte / mm3 (109 GB / mm3) and long-lasting, with over 500 years of recorded half-life. This paper describes an architecture for a storage system based on DNA. It is structured as a store of key value, using common biochemical techniques to provide random access. We are also proposing a new encoding scheme providing controllable redundancy, offsetting density reliability. Finally, we illustrate biotechnology developments that suggest the imminent practicality of processing DNA for much larger datasets.