DNA digital data storage

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DNA digital data storage is the process of encoding and decoding binary data to and from synthesized strands of DNA. [1] [2]

Contents

While DNA as a storage medium has enormous potential because of its high storage density, its practical use is currently severely limited because of its high cost and very slow read and write times. [3]

In June 2019, scientists reported that all 16 GB of text from the English Wikipedia had been encoded into synthetic DNA. [4] In 2021, scientists reported that a custom DNA data writer had been developed that was capable of writing data into DNA at 1 Mbps. [5]

Encoding methods

Many methods for encoding data in DNA are possible. The optimal methods are those that make economical use of DNA and protect against errors. [6] If the message DNA is intended to be stored for a long period of time, for example, 1,000 years, it is also helpful if the sequence is obviously artificial and the reading frame is easy to identify. [6]

Encoding text

Several simple methods for encoding text have been proposed. Most of these involve translating each letter into a corresponding "codon", consisting of a unique small sequence of nucleotides in a lookup table. Some examples of these encoding schemes include Huffman codes, comma codes, and alternating codes. [6]

Encoding arbitrary data

To encode arbitrary data in DNA, the data is typically first converted into ternary (base 3) data rather than binary (base 2) data. Each digit (or "trit") is then converted to a nucleotide using a lookup table. To prevent homopolymers (repeating nucleotides), which can cause problems with accurate sequencing, the result of the lookup also depends on the preceding nucleotide. Using the example lookup table below, if the previous nucleotide in the sequence is T (thymine), and the trit is 2, the next nucleotide will be G (guanine). [7] [8]

Trits to nucleotides (example)
Previous012
TACG
GTAC
CGTA
ACGT

Various systems may be incorporated to partition and address the data, as well as to protect it from errors. One approach to error correction is to regularly intersperse synchronization nucleotides between the information-encoding nucleotides. These synchronization nucleotides can act as scaffolds when reconstructing the sequence from multiple overlapping strands. [8]

In vivo

The genetic code within living organisms can potentially be co-opted to store information. Furthermore synthetic biology can be used to engineer cells with "molecular recorders" to allow the storage and retrieval of information stored in the cell's genetic material. [1] CRISPR gene editing can also be used to insert artificial DNA sequences into the genome of the cell. [1] For encoding developmental lineage data (molecular flight recorder), roughly 30 trillion cell nuclei per mouse * 60 recording sites per nucleus * 7-15 bits per site yields about 2 TeraBytes per mouse written (but only very selectively read). [9]

In-vivo light-based direct image and data recording

A proof-of-concept in-vivo direct DNA data recording system was demonstrated through incorporation of optogenetically regulated recombinases as part of an engineered "molecular recorder" allows for direct encoding of light-based stimuli into engineered E.coli cells. [10] This approach can also be parallelized to store and write text or data in 8-bit form through the use of physically separated individual cell cultures in cell-culture plates.

This approach leverages the editing of a "recorder plasmid" by the light-regulated recombinases, allowing for identification of cell populations exposed to different stimuli. This approach allows for the physical stimulus to be directly encoded into the "recorder plasmid" through recombinase action. Unlike other approaches, this approach does not require manual design, insertion and cloning of artificial sequences to record the data into the genetic code. In this recording process, each individual cell population in each cell-culture plate culture well can be treated as a digital "bit", functioning as a biological transistor capable of recording a single bit of data.

History

The idea of DNA digital data storage dates back to 1959, when the physicist Richard P. Feynman, in "There's Plenty of Room at the Bottom: An Invitation to Enter a New Field of Physics" outlined the general prospects for the creation of artificial objects similar to objects of the microcosm (including biological) and having similar or even more extensive capabilities. [11] In 1964–65, Mikhail Samoilovich Neiman, the Soviet physicist, published 3 articles about microminiaturization in electronics at the molecular-atomic level, which independently presented general considerations and some calculations regarding the possibility of recording, storage, and retrieval of information on synthesized DNA and RNA molecules. [12] [13] [14] After the publication of the first M.S. Neiman's paper and after receiving by Editor the manuscript of his second paper (January, the 8th, 1964, as indicated in that paper) the interview with cybernetician Norbert Wiener was published. [15] N. Wiener expressed ideas about miniaturization of computer memory, close to the ideas, proposed by M. S. Neiman independently. These Wiener's ideas M. S. Neiman mentioned in the third of his papers. This story is described in details. [16]

One of the earliest uses of DNA storage occurred in a 1988 collaboration between artist Joe Davis and researchers from Harvard University. The image, stored in a DNA sequence in E.coli, was organized in a 5 x 7 matrix that, once decoded, formed a picture of an ancient Germanic rune representing life and the female Earth. In the matrix, ones corresponded to dark pixels while zeros corresponded to light pixels. [17]

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. [18]

In 2011, George Church, Sri Kosuri, and Yuan Gao carried out an experiment that would encode a 659  kb book that was co-authored by Church. To do this, the research team did a two-to-one correspondence where a binary zero was represented by either an adenine or cytosine and a binary one was represented by a guanine or thymine. After examination, 22 errors were found in the DNA. [17]

In 2012, George Church and colleagues at Harvard University published an article in which DNA was encoded with digital information that included an HTML draft of a 53,400 word book written by the lead researcher, eleven JPEG images and one JavaScript program. Multiple copies for redundancy were added and 5.5 petabits can be stored in each cubic millimeter of DNA. [19] The researchers used a simple code where bits were mapped one-to-one with bases,[ clarification needed ] which had the shortcoming that it led to long runs of the same base, the sequencing of which is error-prone. This result showed that besides its other functions, DNA can also be another type of storage medium such as hard disk drives and magnetic tapes. [20]

In 2013, 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 detailed the storage, retrieval, and reproduction of over five million bits of data. All the DNA files reproduced the information with an accuracy between 99.99% and 100%. [21] 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. [20] 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. [21] 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 by 2023. [20]

In 2013, a software called DNACloud was developed by Manish K. Gupta and co-workers to encode computer files to their DNA representation. It implements a memory efficiency version of the algorithm proposed by Goldman et al. to encode (and decode) data to DNA (.dnac files). [22] [23]

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. [24]

In 2016 research by Church and Technicolor Research and Innovation was published in which, 22 MB of a MPEG compressed movie sequence were stored and recovered from DNA. The recovery of the sequence was found to have zero errors. [25]

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. [26] [27] [28]

In March 2018, University of Washington and Microsoft published results demonstrating storage and retrieval of approximately 200MB of data. The research also proposed and evaluated a method for random access of data items stored in DNA. [29] [30] In March 2019, the same team announced they have demonstrated a fully automated system to encode and decode data in DNA. [31]

Research published by Eurecom and Imperial College in January 2019, demonstrated the ability to store structured data in synthetic DNA. The research showed how to encode structured or, more specifically, relational data in synthetic DNA and also demonstrated how to perform data processing operations (similar to SQL) directly on the DNA as chemical processes. [32] [33]

In April 2019, due to a collaboration with TurboBeads Labs in Switzerland, Mezzanine by Massive Attack was encoded into synthetic DNA, making it the first album to be stored in this way. [34]

In June 2019, scientists reported that all 16 GB of Wikipedia have been encoded into synthetic DNA. [4] In 2021, CATALOG reported that they had developed a custom DNA writer capable of writing data at 1 Mbps into DNA. [5]

The first article describing data storage on native DNA sequences via enzymatic nicking was published in April 2020. In the paper, scientists demonstrate a new method of recording information in DNA backbone which enables bit-wise random access and in-memory computing. [35]

In 2021, a research team at Newcastle University led by N. Krasnogor implemented a stack data structure using DNA, allowing for last-in, first-out (LIFO) data recording and retrieval. Their approach used hybridization and strand displacement to record DNA signals in DNA polymers, which were then released in reverse order. The study demonstrated that data structure-like operations are possible in the molecular realm. The researchers also explored the limitations and future improvements for dynamic DNA data structures, highlighting the potential for DNA-based computational systems. [36]

Davos Bitcoin Challenge

On January 21, 2015, Nick Goldman from the European Bioinformatics Institute (EBI), one of the original authors of the 2013 Nature paper, [21] announced the Davos Bitcoin Challenge at the World Economic Forum annual meeting in Davos. [37] [38] 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. [38]

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. [39] [40] Next to the instructions on how to claim the bitcoin (stored as a plain text and PDF file), the logo of the EBI, the logo of the company that printed the DNA (CustomArray), and a sketch of James Joyce were retrieved from the DNA. [41]

The Lunar Library

The Lunar Library, launched on the Beresheet Lander by the Arch Mission Foundation, carries information encoded in DNA, which includes 20 famous books and 10,000 images. This was one of the optimal choices of storage, as DNA can last a long time. The Arch Mission Foundation suggests that it can still be read after billions of years. [42] The lander crashed on 11 April 2019 and was lost. [43]

DNA of things

The concept of the DNA of Things (DoT) was introduced in 2019 by a team of researchers from Israel and Switzerland, including Yaniv Erlich and Robert Grass. [44] [45] [46] DoT encodes digital data into DNA molecules, which are then embedded into objects. This gives the ability to create objects that carry their own blueprint, similar to biological organisms. In contrast to Internet of things, which is a system of interrelated computing devices, DoT creates objects which are independent storage objects, completely off-grid.

As a proof of concept for DoT, the researcher 3D-printed a Stanford bunny which contains its blueprint in the plastic filament used for printing. By clipping off a tiny bit of the ear of the bunny, they were able to read out the blueprint, multiply it and produce a next generation of bunnies. In addition, the ability of DoT to serve for steganographic purposes was shown by producing non-distinguishable lenses which contain a YouTube video integrated into the material.

See also

Related Research Articles

<span class="mw-page-title-main">Base pair</span> Unit consisting of two nucleobases bound to each other by hydrogen bonds

A base pair (bp) is a fundamental unit of double-stranded nucleic acids consisting of two nucleobases bound to each other by hydrogen bonds. They form the building blocks of the DNA double helix and contribute to the folded structure of both DNA and RNA. Dictated by specific hydrogen bonding patterns, "Watson–Crick" base pairs allow the DNA helix to maintain a regular helical structure that is subtly dependent on its nucleotide sequence. The complementary nature of this based-paired structure provides a redundant copy of the genetic information encoded within each strand of DNA. The regular structure and data redundancy provided by the DNA double helix make DNA well suited to the storage of genetic information, while base-pairing between DNA and incoming nucleotides provides the mechanism through which DNA polymerase replicates DNA and RNA polymerase transcribes DNA into RNA. Many DNA-binding proteins can recognize specific base-pairing patterns that identify particular regulatory regions of genes.

<span class="mw-page-title-main">DNA</span> Molecule that carries genetic information

Deoxyribonucleic acid is a polymer composed of two polynucleotide chains that coil around each other to form a double helix. The polymer carries genetic instructions for the development, functioning, growth and reproduction of all known organisms and many viruses. DNA and ribonucleic acid (RNA) are nucleic acids. Alongside proteins, lipids and complex carbohydrates (polysaccharides), nucleic acids are one of the four major types of macromolecules that are essential for all known forms of life.

<span class="mw-page-title-main">Genetic code</span> Rules by which information encoded within genetic material is translated into proteins

The genetic code is the set of rules used by living cells to translate information encoded within genetic material into proteins. Translation is accomplished by the ribosome, which links proteinogenic amino acids in an order specified by messenger RNA (mRNA), using transfer RNA (tRNA) molecules to carry amino acids and to read the mRNA three nucleotides at a time. The genetic code is highly similar among all organisms and can be expressed in a simple table with 64 entries.

<span class="mw-page-title-main">Genome</span> All genetic material of an organism

In the fields of molecular biology and genetics, a genome is all the genetic information of an organism. It consists of nucleotide sequences of DNA. The nuclear genome includes protein-coding genes and non-coding genes, other functional regions of the genome such as regulatory sequences, and often a substantial fraction of junk DNA with no evident function. Almost all eukaryotes have mitochondria and a small mitochondrial genome. Algae and plants also contain chloroplasts with a chloroplast genome.

An intron is any nucleotide sequence within a gene that is not expressed or operative in the final RNA product. The word intron is derived from the term intragenic region, i.e., a region inside a gene. The term intron refers to both the DNA sequence within a gene and the corresponding RNA sequence in RNA transcripts. The non-intron sequences that become joined by this RNA processing to form the mature RNA are called exons.

<span class="mw-page-title-main">Nucleic acid</span> Class of large biomolecules essential to all known life

Nucleic acids are large biomolecules that are crucial in all cells and viruses. They are composed of nucleotides, which are the monomer components: a 5-carbon sugar, a phosphate group and a nitrogenous base. The two main classes of nucleic acids are deoxyribonucleic acid (DNA) and ribonucleic acid (RNA). If the sugar is ribose, the polymer is RNA; if the sugar is deoxyribose, a variant of ribose, the polymer is DNA.

<span class="mw-page-title-main">Promoter (genetics)</span> Region of DNA encouraging transcription

In genetics, a promoter is a sequence of DNA to which proteins bind to initiate transcription of a single RNA transcript from the DNA downstream of the promoter. The RNA transcript may encode a protein (mRNA), or can have a function in and of itself, such as tRNA or rRNA. Promoters are located near the transcription start sites of genes, upstream on the DNA . Promoters can be about 100–1000 base pairs long, the sequence of which is highly dependent on the gene and product of transcription, type or class of RNA polymerase recruited to the site, and species of organism.

<span class="mw-page-title-main">Human genome</span> Complete set of nucleic acid sequences for humans

The human genome is a complete set of nucleic acid sequences for humans, encoded as DNA within the 23 chromosome pairs in cell nuclei and in a small DNA molecule found within individual mitochondria. These are usually treated separately as the nuclear genome and the mitochondrial genome. Human genomes include both protein-coding DNA sequences and various types of DNA that does not encode proteins. The latter is a diverse category that includes DNA coding for non-translated RNA, such as that for ribosomal RNA, transfer RNA, ribozymes, small nuclear RNAs, and several types of regulatory RNAs. It also includes promoters and their associated gene-regulatory elements, DNA playing structural and replicatory roles, such as scaffolding regions, telomeres, centromeres, and origins of replication, plus large numbers of transposable elements, inserted viral DNA, non-functional pseudogenes and simple, highly repetitive sequences. Introns make up a large percentage of non-coding DNA. Some of this non-coding DNA is non-functional junk DNA, such as pseudogenes, but there is no firm consensus on the total amount of junk DNA.

<span class="mw-page-title-main">Genomics</span> Discipline in genetics

Genomics is an interdisciplinary field of molecular biology focusing on the structure, function, evolution, mapping, and editing of genomes. A genome is an organism's complete set of DNA, including all of its genes as well as its hierarchical, three-dimensional structural configuration. In contrast to genetics, which refers to the study of individual genes and their roles in inheritance, genomics aims at the collective characterization and quantification of all of an organism's genes, their interrelations and influence on the organism. Genes may direct the production of proteins with the assistance of enzymes and messenger molecules. In turn, proteins make up body structures such as organs and tissues as well as control chemical reactions and carry signals between cells. Genomics also involves the sequencing and analysis of genomes through uses of high throughput DNA sequencing and bioinformatics to assemble and analyze the function and structure of entire genomes. Advances in genomics have triggered a revolution in discovery-based research and systems biology to facilitate understanding of even the most complex biological systems such as the brain.

<span class="mw-page-title-main">Molecular genetics</span> Scientific study of genes at the molecular level

Molecular genetics is a branch of biology that addresses how differences in the structures or expression of DNA molecules manifests as variation among organisms. Molecular genetics often applies an "investigative approach" to determine the structure and/or function of genes in an organism's genome using genetic screens. 

<span class="mw-page-title-main">DNA synthesis</span> Replication of DNA

DNA synthesis is the natural or artificial creation of deoxyribonucleic acid (DNA) molecules. DNA is a macromolecule made up of nucleotide units, which are linked by covalent bonds and hydrogen bonds, in a repeating structure. DNA synthesis occurs when these nucleotide units are joined to form DNA; this can occur artificially or naturally. Nucleotide units are made up of a nitrogenous base, pentose sugar (deoxyribose) and phosphate group. Each unit is joined when a covalent bond forms between its phosphate group and the pentose sugar of the next nucleotide, forming a sugar-phosphate backbone. DNA is a complementary, double stranded structure as specific base pairing occurs naturally when hydrogen bonds form between the nucleotide bases.

<span class="mw-page-title-main">Nirenberg and Leder experiment</span>

The Nirenberg and Leder experiment was a scientific experiment performed in 1964 by Marshall W. Nirenberg and Philip Leder. The experiment elucidated the triplet nature of the genetic code and allowed the remaining ambiguous codons in the genetic code to be deciphered.

<span class="mw-page-title-main">Synthetic biology</span> Interdisciplinary branch of biology and engineering

Synthetic biology (SynBio) is a multidisciplinary field of science that focuses on living systems and organisms, and it applies engineering principles to develop new biological parts, devices, and systems or to redesign existing systems found in nature.

<span class="mw-page-title-main">DNA sequencing</span> Process of determining the nucleic acid sequence

DNA sequencing is the process of determining the nucleic acid sequence – the order of nucleotides in DNA. It includes any method or technology that is used to determine the order of the four bases: adenine, guanine, cytosine, and thymine. The advent of rapid DNA sequencing methods has greatly accelerated biological and medical research and discovery.

Xenobiology (XB) is a subfield of synthetic biology, the study of synthesizing and manipulating biological devices and systems. The name "xenobiology" derives from the Greek word xenos, which means "stranger, alien". Xenobiology is a form of biology that is not (yet) familiar to science and is not found in nature. In practice, it describes novel biological systems and biochemistries that differ from the canonical DNA–RNA-20 amino acid system. For example, instead of DNA or RNA, XB explores nucleic acid analogues, termed xeno nucleic acid (XNA) as information carriers. It also focuses on an expanded genetic code and the incorporation of non-proteinogenic amino acids, or “xeno amino acids” into proteins.

<span class="mw-page-title-main">Gene</span> Sequence of DNA or RNA that codes for an RNA or protein product

In biology, the word gene has two meanings. The Mendelian gene is a basic unit of heredity. The molecular gene is a sequence of nucleotides in DNA that is transcribed to produce a functional RNA. There are two types of molecular genes: protein-coding genes and non-coding genes.

Synthetic genomics is a nascent field of synthetic biology that uses aspects of genetic modification on pre-existing life forms, or artificial gene synthesis to create new DNA or entire lifeforms.

Mycoplasma laboratorium or Synthia refers to a synthetic strain of bacterium. The project to build the new bacterium has evolved since its inception. Initially the goal was to identify a minimal set of genes that are required to sustain life from the genome of Mycoplasma genitalium, and rebuild these genes synthetically to create a "new" organism. Mycoplasma genitalium was originally chosen as the basis for this project because at the time it had the smallest number of genes of all organisms analyzed. Later, the focus switched to Mycoplasma mycoides and took a more trial-and-error approach.

<span class="mw-page-title-main">Expanded genetic code</span> Modified genetic code

An expanded genetic code is an artificially modified genetic code in which one or more specific codons have been re-allocated to encode an amino acid that is not among the 22 common naturally-encoded proteinogenic amino acids.

<span class="mw-page-title-main">Hachimoji DNA</span> Synthetic DNA

Hachimoji DNA is a synthetic nucleic acid analog that uses four synthetic nucleotides in addition to the four present in the natural nucleic acids, DNA and RNA. This leads to four allowed base pairs: two unnatural base pairs formed by the synthetic nucleobases in addition to the two normal pairs. Hachimoji bases have been demonstrated in both DNA and RNA analogs, using deoxyribose and ribose respectively as the backbone sugar.

References

  1. 1 2 3 Ceze L, Nivala J, Strauss K (August 2019). "Molecular digital data storage using DNA". Nature Reviews. Genetics. 20 (8): 456–466. doi:10.1038/s41576-019-0125-3. PMID   31068682. S2CID   148570002.
  2. Akram F, Haq IU, Ali H, Laghari AT (October 2018). "Trends to store digital data in DNA: an overview". Molecular Biology Reports. 45 (5): 1479–1490. doi:10.1007/s11033-018-4280-y. PMID   30073589. S2CID   51905843.
  3. Panda D, Molla KA, Baig MJ, Swain A, Behera D, Dash M (May 2018). "DNA as a digital information storage device: hope or hype?". 3 Biotech. 8 (5): 239. doi:10.1007/s13205-018-1246-7. PMC   5935598 . PMID   29744271.
  4. 1 2 Shankland S (29 June 2019). "Startup packs all 16GB of Wikipedia onto DNA strands to demonstrate new storage tech - Biological molecules will last a lot longer than the latest computer storage technology, Catalog believes". CNET . Retrieved 7 August 2019.
  5. 1 2 Roquet N, Bhatia SP, Flickinger SA, Mihm S, Norsworthy MW, Leake D, Park H (2021-04-20). "DNA-based data storage via combinatorial assembly". bioRxiv: 2021.04.20.440194. doi:10.1101/2021.04.20.440194. S2CID   233415483.
  6. 1 2 3 Smith GC, Fiddes CC, Hawkins JP, Cox JP (July 2003). "Some possible codes for encrypting data in DNA". Biotechnology Letters. 25 (14): 1125–1130. doi:10.1023/a:1024539608706. PMID   12966998. S2CID   20617098.
  7. Goldman N, Bertone P, Chen S, Dessimoz C, LeProust EM, Sipos B, Birney E (February 2013). "Towards practical, high-capacity, low-maintenance information storage in synthesized DNA". Nature. 494 (7435): 77–80. Bibcode:2013Natur.494...77G. doi:10.1038/nature11875. PMC   3672958 . PMID   23354052.
  8. 1 2 Lee HH, Kalhor R, Goela N, Bolot J, Church GM (June 2019). "Terminator-free template-independent enzymatic DNA synthesis for digital information storage". Nature Communications. 10 (1): 2383. Bibcode:2019NatCo..10.2383L. doi:10.1038/s41467-019-10258-1. PMC   6546792 . PMID   31160595.
  9. Kalhor R, Kalhor K, Mejia L, Leeper K, Graveline A, Mali P, Church GM (August 2018). "Developmental barcoding of whole mouse via homing CRISPR". Science. 361 (6405). doi:10.1126/science.aat9804. PMC   6139672 . PMID   30093604.
  10. Lim CK, Yeoh JW, Kunartama AA, Yew WS, Poh CL (July 2023). "A biological camera that captures and stores images directly into DNA". Nature Communications. 14 (1): 3921. Bibcode:2023NatCo..14.3921L. doi:10.1038/s41467-023-38876-w. PMC   10318082 . PMID   37400476.
  11. Feynman RP (29 December 1959). "There's Plenty of Room at the Bottom". Annual meeting of the American Physical Society. California Institute of Technology.
  12. Neiman MS (1964). "Some fundamental issues of microminiaturization" (PDF). Radiotekhnika (in Russian) (1): 3–12.[ permanent dead link ]
  13. Neiman MS (1965). "On the relationships between the reliability, performance and degree of microminiaturisation at the molecular-atomic level" (PDF). Radiotekhnika (in Russian) (1): 1–9.[ permanent dead link ]
  14. Neiman MS (1965). "On the molecular memory systems and the directed mutations" (PDF). Radiotekhnika (in Russian) (6): 1–8.[ permanent dead link ]
  15. Wiener N (1964). "Interview: machines smarter than men?". U.S. News & World Report. 56: 84–86.
  16. Rebrova IM, Rebrova OY (2020). "Storage devices based on artificial DNA: the birth of an idea and the first publications". Voprosy Istorii Estestvoznaniia i Tekhniki (in Russian). 41 (4): 666–76. doi:10.31857/S020596060013006-8. S2CID   234420446.
  17. 1 2 Extance A (September 2016). "How DNA could store all the world's data". Nature. 537 (7618): 22–24. Bibcode:2016Natur.537...22E. doi: 10.1038/537022a . PMID   27582204.
  18. Skinner GM, Visscher K, Mansuripur M (2007-06-01). "Biocompatible Writing of Data into DNA". Journal of Bionanoscience. 1 (1): 17–21. arXiv: 1708.08027 . doi:10.1166/jbns.2007.005. S2CID   11241232.
  19. Church GM, Gao Y, Kosuri S (September 2012). "Next-generation digital information storage in DNA". Science. 337 (6102): 1628. Bibcode:2012Sci...337.1628C. doi: 10.1126/science.1226355 . PMID   22903519. S2CID   934617.
  20. 1 2 3 Yong E (2013). "Synthetic double-helix faithfully stores Shakespeare's sonnets". Nature. doi:10.1038/nature.2013.12279. S2CID   61562980.
  21. 1 2 3 Goldman N, Bertone P, Chen S, Dessimoz C, LeProust EM, Sipos B, Birney E (February 2013). "Towards practical, high-capacity, low-maintenance information storage in synthesized DNA". Nature. 494 (7435): 77–80. Bibcode:2013Natur.494...77G. doi:10.1038/nature11875. PMC   3672958 . PMID   23354052.
  22. Shah S, Limbachiya D, Gupta MK (2013-10-25). "DNACloud: A Potential Tool for storing Big Data on DNA". arXiv: 1310.6992 [cs.ET].
  23. Limbachiya D, Dhameliya V, Khakhar M, Gupta MK (25 April 2016). "On Optimal Family of Codes for Archival DNA Storage". 2015 Seventh International Workshop on Signal Design and Its Applications in Communications (IWSDA). pp. 123–127. arXiv: 1501.07133 . doi:10.1109/IWSDA.2015.7458386. ISBN   978-1-4673-8308-0. S2CID   7062541.
  24. Grass RN, Heckel R, Puddu M, Paunescu D, Stark WJ (February 2015). "Robust chemical preservation of digital information on DNA in silica with error-correcting codes". Angewandte Chemie. 54 (8): 2552–2555. doi:10.1002/anie.201411378. PMID   25650567.
  25. Blawat M, Gaedke K, Huetter I, Chen XM, Turczyk B, Inverso S, Pruitt BW, Church GM (2016). "Forward Error Correction for DNA Data Storage". Procedia Computer Science. 80: 1011–1022. doi: 10.1016/j.procs.2016.05.398 .
  26. Yong E. "This Speck of DNA Contains a Movie, a Computer Virus, and an Amazon Gift Card". The Atlantic. Retrieved 3 March 2017.
  27. Service RF (2 March 2017). "DNA could store all of the world's data in one room". Science Magazine. Retrieved 3 March 2017.
  28. Erlich Y, Zielinski D (March 2017). "DNA Fountain enables a robust and efficient storage architecture". Science. 355 (6328): 950–954. Bibcode:2017Sci...355..950E. doi:10.1126/science.aaj2038. PMID   28254941. S2CID   13470340.
  29. Organick L, Ang SD, Chen YJ, Lopez R, Yekhanin S, Makarychev K, et al. (March 2018). "Random access in large-scale DNA data storage". Nature Biotechnology. 36 (3): 242–248. doi:10.1038/nbt.4079. PMID   29457795. S2CID   205285821.
  30. Patel P (2018-02-20). "DNA Data Storage Gets Random Access". IEEE Spectrum: Technology, Engineering, and Science News. Retrieved 2018-09-08.
  31. Langston J (2019-03-21). "With a "hello," Microsoft and UW demonstrate first fully automated DNA data storage". Innovation Stories. Retrieved 2019-03-21.
  32. Appuswamy R, Le Brigand K, Barbry P, Antonini M, Madderson O, Freemont P, McDonald J, Heinis T (2019). "OligoArchive: Using DNA in the DBMS storage hierarchy" (PDF). Conference on Innovative Data Systems Research (CIDR).
  33. "OligoArchive Website". oligoarchive.github.io. Retrieved 2019-02-06.
  34. Yoo N (20 April 2018). "Massive Attack Encoding Album into DNA". Pitchfork.
  35. Tabatabaei SK, Wang B, Athreya NB, Enghiad B, Hernandez AG, Fields CJ, et al. (April 2020). "DNA punch cards for storing data on native DNA sequences via enzymatic nicking". Nature Communications. 11 (1): 1742. Bibcode:2020NatCo..11.1742T. doi:10.1038/s41467-020-15588-z. PMC   7142088 . PMID   32269230.
  36. Loppicollo A, Shirt-Ediss B, Torelli E, Olulana A, Castronovo M, Fellermann H, et al. (August 2021). "A last-in first-out stack data structure implemented in DNA". Nature Communications. 12: 4861. Bibcode:2021NatCo..12.4861L. doi:10.1038/s41467-021-25023-6. PMC   8358042 . PMID   34381035.
  37. Goldman N (2015-03-10), "Future Computing: DNA Hard Drives", World Economic Forum, retrieved 2018-05-19
  38. 1 2 "DNA storage". European Bioinformatics Institute. Retrieved 2018-05-19.
  39. "Belgian PhD student decodes DNA and wins a Bitcoin". European Bioinformatics Institute. 19 January 2018. Retrieved 2018-05-19.
  40. Oberhaus D (2018-01-24). "A Piece of DNA Contained the Key to 1 Bitcoin and This Guy Cracked the Code". Vice: Motherboard. Retrieved 2018-05-19.
  41. Wuyts S (2018-01-16). "From DNA to bitcoin: How I won the Davos DNA-storage Bitcoin Challenge". Word Press. Retrieved 2018-05-19.
  42. Moskowitz C. "DNA-Coded "Lunar Library" Aims to Preserve Civilization for Millennia". Scientific American. Retrieved 2022-01-09.
  43. Lidman, Melanie. "Israel's Beresheet spacecraft crashes into the moon during landing attempt". The Times of Israel.
  44. Koch J, Gantenbein S, Masania K, Stark WJ, Erlich Y, Grass RN (January 2020). "A DNA-of-things storage architecture to create materials with embedded memory". Nature Biotechnology. 38 (1): 39–43. doi:10.1038/s41587-019-0356-z. PMID   31819259. S2CID   209164262.
  45. Molteni M (2019-12-09). "These Plastic Bunnies Got a DNA Upgrade. Next up, the World?". Wired. Retrieved 2019-12-09.
  46. Hotz RL (2019-12-09). "Scientists Store Data in Synthetic DNA Embedded in a Plastic Bunny". Wall Street Journal. Retrieved 2019-12-09.

Further reading