What Is DNA Data Storage?

DNA Storage
DNA storage is the process of encoding and decoding binary data into and out of synthesized strands of DNA (deoxyribonucleic acid). In nature, DNA molecules contain the genetic blueprints for living cells and organisms.
To store a binary digital file as DNA,ย  individual bits (binary digits) of 1 and 0 are converted into the letters A, C, G, and T. These letters represent the four main components of DNA: adenine, cytosine, guanine, and thymine. The physical storage medium is a synthesized DNA molecule containing these four compounds in an order that corresponds to the order of the bits in the digital file. To retrieve the data, theย  A, C, G, and T sequence representing the DNA molecule is decoded back into the original sequence of bits 1 and 0.ย 
Researchers at the European Molecular Biology Laboratory (EMBL) have encoded audio, image, and text files into a synthesized DNA molecule about the size of a dust grain, and then successfully read the information from the DNA to recover the files, claiming 99.99 percent accuracy.

What Is the Storage Capacity of DNA Data Storage?

DNA data storage is the preferred solution to the storage shortage problem as it can store large amounts of data in very little space. One gram of DNA can store 215 petabytes of data. A petabyte is 1,024 terabytes. So one gram of DNA can store around 220,160 terabytes. 
Compare that to today’s technology: a 1 terabyte hard drive weighs about 400 grams. So, to store the amount of data equivalent to one gram of DNA, you need more than 88 million grams of hard drives. 
With this information, the researchers say that all the data in the world currently fits in a shoebox that uses DNA data storage.

Disadvantages of DNA storage

The main disadvantages of DNA storage for current practical use are its low coding speed and high cost. The speed issue limits the technology’s promise for short-term archival purposes, although eventually, speeds may improve enough for DNA storage to work effectively for general backup applications and perhaps even storage. In terms of cost, Dr. Nick Goldman of EMBL suggests that by the mid-2020s, spending could be reduced enough for technology to become commercially viable on a large scale.

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