DNA Computing

Abstract-DNA data storage is revolutionizing technology to fill up the voids in existing data storage systems with higher density and durability. The paper deals with DNA comput- ing, especially with the concept of using DNA sequences for data storage with emphasis on encoding digital data in DNA sequences and discussion on the latest developments in DNA storage technologies, challenges facing it, such as scalability and cost, and also the problem of error correction. The paper also highlights the advantages of DNA as a storage medium, including high information capacity and stability in the long term but discusses existing challenges. As a conclusion, we enumerate some directions for further research needed to make DNA data storage more practical. Another key challenge explored in the paper is error correction. DNA sequences, while robust, are prone to errors during synthesis, amplification, and sequencing processes. These errors can compromise the integrity of the stored data, necessitating the development of advanced error correction mechanisms. The paper examines current strategies for mitigating these errors, including the use of redundancy, coding theory, and error-tolerant storage architectures, while also identifying gaps that require further exploration.