Deoxyribonucleic Acid as a Tool for Digital Information Storage: An Overview

Abstract

Current data storage technologies cannot keep pace longer with exponentially growing amounts of data through the extensive use of social networking photos and media, etc. The "digital world” with 4.4 zettabytes in 2013 has predicted it to reach 44 zettabytes by 2020. From the past 30 years, scientists and researchers have been trying to develop a robust way of storing data on a medium which is dense and ever-lasting and found DNA as the most promising storage medium. Unlike existing storage devices, DNA requires no maintenance, except the need to store at a cool and dark place. DNA has a small size with high density; just 1 gram of dry DNA can store about 455 exabytes of data. DNA stores the informations using four bases, viz., A, T, G, and C, while CDs, hard disks and other devices stores the information using 0’s and 1’s on the spiral tracks. In the DNA based storage, after binarization of digital file into the binary codes, encoding and decoding are important steps in DNA based storage system. Once the digital file is encoded, the next step is to synthesize arbitrary single-strand DNA sequences and that can be stored in the deep freeze until use.When there is a need for information to be recovered, it can be done using DNA sequencing. New generation sequencing (NGS) capable of producing sequences with very high throughput at a much lower cost about less than 0.1 USD for one MB of data than the first sequencing technologies. Post-sequencing processing includes alignment of all reads using multiple sequence alignment (MSA) algorithms to obtain different consensus sequences. The consensus sequence is decoded as the reversal of the encoding process. Most prior DNA data storage efforts sequenced and decoded the entire amount of stored digital information with no random access, but nowadays it has become possible to extract selective files (e.g., retrieving only required image from a collection) from a DNA pool using PCR-based random access. Various scientists successfully stored up to 110 zettabytes data in one gram of DNA. In the future, with an efficient encoding, error corrections, cheaper DNA synthesis,and sequencing, DNA based storage will become a practical solution for storage of exponentially growing digital data.

Analysis and review of the possibility of using the generative model as a compression technique in DNA data storage: review and future research agenda

“…6) uses recovered DNA data and the DNA Tree algorithm, which restores the same binary sequence using decoding algorithms. The seventh (7) original input data is retrieved from the recovered binary sequence. Fig.…”

“…3) [11], is still quite high. The expensive synthesis process is one of the primary reasons why DNA data storage technology has not been widely adopted [7]. Consequently, both the Binarization stage and the DNA sequence data can be compressed prior to the synthesis process in the DNA data storage stage.…”

“…Once the binary code has been recovered, it will be converted back to the original data that was initially stored. In general, this is the stage at which information can be stored and extracted from DNA [7].…”