DNA digital data storage
DNA digital data storage refers to any process to store digital data in the base sequence of DNA using commercially available oligonucleotide synthesis machines for storage and DNA sequencing machines for retrieval.
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Among early examples of DNA data storage, in 2007 a device was created at the University of Arizona using addressing molecules to encode mismatch sites within a DNA strand. These mismatches were then able to be read out by performing a restriction digest, thereby recovering the data.
An improved system was reported in the journal Nature in January 2013, in an article led by researchers from the European Bioinformatics Institute (EBI) and submitted at around the same time as the paper of Church and colleagues. Over five million bits of data, were stored, retrieved, and reproduced. All the DNA files reproduced the information between 99.99% and 100% accuracy. The main innovations in this research were the use of an error-correcting encoding scheme to ensure the extremely low data-loss rate, as well as the idea of encoding the data in a series of overlapping short oligonucleotides identifiable through a sequence-based indexing scheme. Also, the sequences of the individual strands of DNA overlapped in such a way that each region of data was repeated four times to avoid errors. Two of these four strands were constructed backwards, also with the goal of eliminating errors. The costs per megabyte were estimated at $12,400 to encode data and $220 for retrieval. However, it was noted that the exponential decrease in DNA synthesis and sequencing costs, if it continues into the future, should make the technology cost-effective for long-term data storage within about ten years.
The long-term stability of data encoded in DNA was reported in February 2015, in an article by researchers from ETH Zurich. The team added redundancy via Reed–Solomon error correction coding and by encapsulating the DNA within silica glass spheres via Sol-gel chemistry.
In March 2017, Yaniv Erlich and Dina Zielinski of Columbia University and the New York Genome Center published a method known as DNA Fountain that stored data at a density of 215 petabytes per gram of DNA. The technique approaches the Shannon capacity of DNA storage, achieving 85% of the theoretical limit. The method was not ready for large-scale use, as it costs $7000 to synthesize 2 megabytes of data and another $2000 to read it.
Davos Bitcoin Challenge
On January 21, 2015, Nick Goldman (EBI), one of the original authors of the 2013 Nature paper, announced the Davos Bitcoin Challenge at the World Economic Forum annual meeting in Davos.  During his presentation, DNA-tubes were handed out to the audience with the message that each tube contained the private key of exactly one bitcoin, all coded in DNA. The first one to sequence and decode the DNA could claim the bitcoin and win the challenge. The challenge was set for three years and would close if nobody claimed the prize before January 21, 2018. 
Almost three years later on January 19, 2018, the EBI announced that a Belgian PhD student, Sander Wuyts of the University of Antwerp and Vrije Universiteit Brussel, was the first one to complete the challenge.  Next to the instructions on how to claim the bitcoin (stored as a plain text and pdf file), the logo of the EMBL-EBI, the logo of the company that printed the DNA (CustomArray) and a sketch of James Joyce were retrieved from the DNA.
- DNA computing
- DNA nanotechnology
- Natural computing
- Plant-based digital data storage
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