DNA Storage

DNA storage aims to leverage the immense data density and longevity of DNA molecules for archiving large datasets. Current research focuses on improving the accuracy and efficiency of encoding and decoding data into DNA sequences, addressing challenges like insertion, deletion, and substitution errors through techniques such as error-correcting codes, autoencoders, and deep learning-based approaches that embed Levenshtein distance calculations. These advancements are driven by the need for robust and scalable data storage solutions, particularly for long-term archival needs and applications requiring high data density, impacting fields ranging from cloud computing to digital preservation.