The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Nucleic acid memory
Open accessOverview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“Escherichia coli has a storage density of 1019 bits of data per cubic centimeter [5].”
From DNA Data Storage. (2023) · cites this paper as [5]
In the citing paper
“with outstanding features of long-term, high-density, and low maintain cost”
From Large-Scale de Novo Oligonucleotide Synthesis for Whole-Genome Synthesis and Data Storage: Challenges and Opportunities (2021) · cites this paper as Zhirnov et al., 2016
In the citing paper
“DNA is believed to be a viable and compelling alternative to traditional storage media and to be potential to solve the world crisis of digital data explosion”
From Large-Scale de Novo Oligonucleotide Synthesis for Whole-Genome Synthesis and Data Storage: Challenges and Opportunities (2021) · cites this paper as Zhirnov et al., 2016
In the citing paper
“Recent progress in nucleic acid synthesis and sequencing technologies continue to reduce the cost of writing and reading DNA, foreshadowing future commercially competitive DNA-based information storage1,3–5.”
From Random access DNA memory using Boolean search in an archival file storage system (2021) · cites this paper as [1]
In the citing paper
“While DNA is the polymer selected by evolution for the storage and transmission of genetic information in biology, it can also be used for the storage of arbitrary digital information at densities far exceeding conventional data storage technologies such as flash and tape memory, at scales well beyond the capacity of the largest existing data centers1,2.”
From Random access DNA memory using Boolean search in an archival file storage system (2021) · cites this paper as [1]
In the citing paper
“First, while our file system supports theoretical storage densities that are orders of magnitude higher than archival file storage systems based on hard disk, magnetic tape, or similar archival media1,40 commonly used today, silica encapsulation of DNA file sequences lowers overall data storage density compared with bare DNA memory (Supplementary Section 6).”
From Random access DNA memory using Boolean search in an archival file storage system (2021) · cites this paper as [1]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Molecular Cloning: A Laboratory Manual
Sambrook, J., Fritsch, E., & Maniatis, T. (1989) · UCLA - Biblioteca de Ciencias de la Salud · Cited by 133,589
Molecular cloning: A laboratory manual
Deininger, P. L. (1990) · Analytical Biochemistry · doi:10.1016/0003-2697(90)90595-z · Cited by 84,684
Folding DNA to create nanoscale shapes and patterns
Rothemund, P. W. K. (2006) · Nature · doi:10.1038/nature04586 · Cited by 7,474
Cradle to cradle: remaking the way we make things
Braungart, M., & McDonough, W. F. (2002) · Choice Reviews Online · doi:10.5860/choice.40-0914 · Cited by 3,810
The potential and challenges of nanopore sequencing
Branton, D., Deamer, D. W., Marziali, A., Bayley, H., Benner, S. A., Butler, T. J., Ventra, M. D., Garaj, S., Hibbs, A. H., Huang, X. C., et al. (2008) · Nature Biotechnology · doi:10.1038/nbt.1495 · Cited by 2,534
A DNA-fuelled molecular machine made of DNA
Yurke, B., Turberfield, A. J., Mills, A. P., Simmel, F. C., & Neumann, J. L. (2000) · Nature · doi:10.1038/35020524 · Cited by 2,426
The complete genome sequence of a Neanderthal from the Altai Mountains
Prüfer, K., Racimo, F., Patterson, N., Jay, F., Sankararaman, S., Sawyer, S., Heinze, A., Renaud, G., Sudmant, P. H., de Filippo, C., et al. (2014) · Nature · doi:10.1038/nature12886 · Cited by 2,254
The World’s Technological Capacity to Store, Communicate, and Compute Information
Hilbert, M., & López, P. (2011) · Science · doi:10.1126/science.1200970 · Cited by 1,643
Next-Generation Digital Information Storage in DNA
Church, G. M., Gao, Y., & Kosuri, S. (2012) · Science · doi:10.1126/science.1226355 · Cited by 1,441
Self-citationTowards Practical, High-Capacity, Low-Maintenance Information Storage in Synthesized DNA
Goldman, N., Bertone, P., Chen, S., Dessimoz, C., LeProust, E. M., Sipos, B., & Birney, E. (2013) · Nature · doi:10.1038/nature11875 · Cited by 1,220
Research works printed but not linked: 7
- SemiSynBio Consortium and Roadmap Development (The National Institute of Standards and Technology, 2015); http://go.nature.com/PzwrM2
- Bob, K. Past, Present and Future of DNA Sequencing (Illumina, 2013); http://go.nature.com/MtTrRk
- Summary Report for the SRC Workshop on “Synergies between Semiconductors and Synthetic Biology” (SemiSynBio) (Semiconductor Research Corporation, 2013).
- MinION MkI Oxford NanoPore Technologies http://go.nature.com/wYqldy
- Merritt, R. DNA chip will plug into handsets. EE Times (6 September 2014).
- Gantz, J. & Reinsel, D. The Digital Universe Decade — Are You Ready? (IDC, 2010).
- Turner, V. & Gantz, J. The Digital Universe of Opportunities: Rich Data and the Increasing Value of the Internet of Things (IDC, 2014).
Cited by
Sorted by citations
Designer nanoscale DNA assemblies programmed from the top down
Veneziano, R., Ratanalert, S., Zhang, K., Zhang, F., Yan, H., Chiu, W., & Bathe, M. (2016) · Science · doi:10.1126/science.aaf4388 · Cited by 639
Molecular Digital Data Storage Using DNA
Ceze, L., Nivala, J., & Strauss, K. (2019) · Nature Reviews Genetics · doi:10.1038/s41576-019-0125-3 · Cited by 551
Portable and Error-Free DNA-Based Data Storage
Yazdi, S. M. H. T., Gabrys, R., & Milenkovic, O. (2017) · Scientific Reports · doi:10.1038/s41598-017-05188-1 · Cited by 361
CRISPR-Cas Encoding of a Digital Movie into the Genomes of a Population of Living Bacteria
Shipman, S. L., Nivala, J., Macklis, J. D., & Church, G. M. (2017) · Nature · doi:10.1038/nature23017 · Cited by 361
Self-citationEnzymatic DNA synthesis for digital information storage.
Lee, H. H., Kalhor, R., Goela, N., Bolot, J., & Church, G. M. (2018) · doi:10.1101/348987 · Cited by 265
Self-citationData storage in DNA with fewer synthesis cycles using composite DNA letters.
Anavy, L., Vaknin, I., Atar, O., Amit, R., & Yakhini, Z. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0240-x · Cited by 229
DNA storage: research landscape and future prospects
Dong, Y., Sun, F., Ping, Z., Ouyang, Q., & Qian, L. (2020) · National Science Review · doi:10.1093/nsr/nwaa007 · Cited by 236
Encoding information into polymers
Rutten, M. G. T. A., Vaandrager, F. W., Elemans, J. A. A. W., & Nolte, R. J. M. (2018) · Nature Reviews Chemistry · doi:10.1038/s41570-018-0051-5 · Cited by 216
DNA stability: a central design consideration for DNA data storage systems
Matange, K. R., Tuck, J. M., & Keung, A. J. (2021) · Nature Communications · doi:10.1038/s41467-021-21587-5 · Cited by 220
Defining the Field of Sequence‐Controlled Polymers
Lutz, J. (2017) · Macromolecular Rapid Communications · doi:10.1002/marc.201700582 · Cited by 203
Evolution of Structural DNA Nanotechnology
Nummelin, S., Kommeri, J., Kostiainen, M. A., & Linko, V. (2018) · Advanced Materials · doi:10.1002/adma.201703721 · Cited by 198
A DNA-of-things storage architecture to create materials with embedded memory.
Koch, J., Gantenbein, S., Masania, K., Stark, W. J., Erlich, Y., & Grass, R. N. (2020) · Nature Biotechnology · doi:10.1038/s41587-019-0356-z · Cited by 183
Multifunctional sequence-defined macromolecules for chemical data storage.
Martens, S., Landuyt, A., Espeel, P., Devreese, B., Dawyndt, P., & Du Prez, F. (2018) · Nature Communications · doi:10.1038/s41467-018-06926-3 · Cited by 180
Towards practical and robust DNA-based data archiving using the yin–yang codec system
Ping, Z., Chen, S., Zhou, G., Huang, X., Zhu, S. J., Zhang, H., Lee, H. H., Lan, Z., Cui, J., Chen, T., et al. (2022) · Nature Computational Science · doi:10.1038/s43588-022-00231-2 · Cited by 152
Self-citationRandom access DNA memory using Boolean search in an archival file storage system
Banal, J. L., Shepherd, T. R., Berleant, J., Huang, H., Reyes, M., Ackerman, C. M., Blainey, P. C., & Bathe, M. (2021) · Nature Materials · doi:10.1038/s41563-021-01021-3 · Cited by 143
DNA assembly for nanopore data storage readout
Lopez, R., Chen, Y.-J., Dumas Ang, S., Yekhanin, S., Makarychev, K., Racz, M. Z., Seelig, G., Strauss, K., & Ceze, L. (2019) · Nature Communications · doi:10.1038/s41467-019-10978-4 · Cited by 142
An Artificial Chromosome for Data Storage
Chen, W., Han, M., Zhou, J., Ge, Q., Wang, P., Zhang, X., Zhu, S., Song, L., & Yuan, Y. (2021) · National Science Review · doi:10.1093/nsr/nwab028 · Cited by 136
Probing the physical limits of reliable DNA data retrieval.
Organick, L., Chen, Y.-J., Dumas Ang, S., Lopez, R., Liu, X., Strauss, K., & Ceze, L. (2020) · Nature Communications · doi:10.1038/s41467-020-14319-8 · Cited by 135
Phototunable Biomemory Based on Light‐Mediated Charge Trap
Lv, Z., Wang, Y., Chen, Z., Sun, L., Wang, J., Chen, M., Xu, Z., Liao, Q., Zhou, L., Chen, X., et al. (2018) · Advanced Science · doi:10.1002/advs.201800714 · Cited by 134
DNA as a universal chemical substrate for computing and data storage
Yang, S., Bögels, B. W. A., Wang, F., Xu, C., Dou, H., Mann, S., Fan, C., & de Greef, T. F. A. (2024) · Nature Reviews Chemistry · doi:10.1038/s41570-024-00576-4 · Cited by 144
Ouahabi, A. A., Amalian, J., Charles, L., & Lutz, J. (2017) · Nature Communications · doi:10.1038/s41467-017-01104-3 · Cited by 135
Aksakal, R., Mertens, C., Soete, M., Badi, N., & Prez, F. D. (2021) · Advanced Science · doi:10.1002/advs.202004038 · Cited by 139
Choi, Y., Ryu, T., Lee, A. C., Choi, H., Lee, H., Park, J., Song, S.-H., Kim, S., Kim, H., Park, W., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-43105-w · Cited by 128
Synthetic DNA applications in information technology
Meiser, L. C., Nguyen, B. H., Chen, Y.-J., Nivala, J., Strauß, K., Ceze, L., & Grass, R. N. (2022) · Nature Communications · doi:10.1038/s41467-021-27846-9 · Cited by 134
How DNA could store all the world’s data
Extance, A. (2016) · Nature · doi:10.1038/537022a · Cited by 125
DNA punch cards for storing data on native DNA sequences via enzymatic nicking
Tabatabaei, S. K., Wang, B., Athreya, N. B. M., Enghiad, B., Hernandez, A. G., Fields, C. J., Leburton, J.-P., Soloveichik, D., Zhao, H., & Milenkovic, O. (2020) · Nature Communications · doi:10.1038/s41467-020-15588-z · Cited by 120
Dynamic and scalable DNA-based information storage
Lin, K. N., Volkel, K., Tuck, J. M., & Keung, A. J. (2020) · Nature Communications · doi:10.1038/s41467-020-16797-2 · Cited by 117
Photon-directed multiplexed enzymatic DNA synthesis for molecular digital data storage
Lee, H., Wiegand, D. J., Griswold, K., Punthambaker, S., Chun, H., Kohman, R. E., & Church, G. M. (2020) · Nature Communications · doi:10.1038/s41467-020-18681-5 · Cited by 123
Self-citationData storage in sequence-defined macromolecules via multicomponent reactions
Boukis, A. C., & Meier, M. A. R. (2018) · European Polymer Journal · doi:10.1016/j.eurpolymj.2018.04.038 · Cited by 111
Quantifying Molecular Bias in DNA Data Storage
Chen, Y.-J., Takahashi, C. N., Organick, L., Stewart, K., Ang, S. D., Weiss, P., Peck, B., Seelig, G., Ceze, L., & Strauss, K. (2019) · doi:10.1101/566554 · Cited by 116
Storage of Information Using Small Organic Molecules
Cafferty, B. J., Ten, A. S., Fink, M. J., Morey, S., Preston, D. J., Mrksich, M., & Whitesides, G. M. (2019) · ACS Central Science · doi:10.1021/acscentsci.9b00210 · Cited by 110
Robust data storage in DNA by de Bruijn graph-based de novo strand assembly
Song, L., Geng, F., Gong, Z.-Y., Chen, X., Tang, J., Gong, C., Zhou, L., Xia, R., Han, M., Xu, J.-Y., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-33046-w · Cited by 98
Driving the Scalability of DNA-Based Information Storage Systems
Tomek, K. J., Volkel, K., Simpson, A., Hass, A. G., Indermaur, E. W., Tuck, J. M., & Keung, A. J. (2019) · ACS Synthetic Biology · doi:10.1021/acssynbio.9b00100 · Cited by 100
Laure, C., Karamessini, D., Milenković, O., Charles, L., & Lutz, J. (2016) · Angewandte Chemie International Edition · doi:10.1002/anie.201605279 · Cited by 87
High-throughput DNA synthesis for data storage
Yu, M., Tang, X., Li, Z., Wang, W., Wang, S., Li, M., Yu, Q., Xie, S., Zuo, X., & Chen, C. Q. (2024) · Chemical Society Reviews · doi:10.1039/d3cs00469d · Cited by 92
An alternative approach to nucleic acid memory
Dickinson, G. D., Mortuza, G. M., Clay, W., Piantanida, L., Green, C. M., Watson, C., Hayden, E. J., Andersen, T., Kuang, W., Graugnard, E., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-22277-y · Cited by 82
Self-citationRewritable two-dimensional DNA-based data storage with machine learning reconstruction
Pan, C., Tabatabaei, S. K., Yazdi, S. M. H. T., Hernandez, A. G., Schroeder, C. M., & Milenković, O. (2022) · Nature Communications · doi:10.1038/s41467-022-30140-x · Cited by 83
Addressable configurations of DNA nanostructures for rewritable memory
Chandrasekaran, A. R., Levchenko, O., Patel, D. S., MacIsaac, M., & Halvorsen, K. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx777 · Cited by 79
Choi, Y., Bae, H. J., Lee, A. C., Choi, H., Lee, D., Ryu, T., Hyun, J., Kim, S., Kim, H., Song, S., et al. (2020) · Advanced Materials · doi:10.1002/adma.202001249 · Cited by 77
Song, L.-F., Deng, Z.-H., Gong, Z.-Y., Li, L.-L., & Li, B.-Z. (2021) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2021.689797 · Cited by 74
Multicomponent molecular memory
Arcadia, C. E., Kennedy, E., Geiser, J. D., Dombroski, A., Oakley, K., Chen, S., Sprague, L. W., Ozmen, M., Sello, J. K., Weber, P. M., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-14455-1 · Cited by 76
Photo-editable macromolecular information
König, N. F., Ouahabi, A. A., Oswald, L., Szweda, R., Charles, L., & Lutz, J. (2019) · Nature Communications · doi:10.1038/s41467-019-11566-2 · Cited by 74
Nucleic Acid Databases and Molecular-Scale Computing
Song, X., & Reif, J. (2019) · ACS Nano · doi:10.1021/acsnano.9b02562 · Cited by 73
DNA Data Storage and Hybrid Molecular–Electronic Computing
Carmean, D., Ceze, L., Seelig, G., Stewart, K., Strauss, K., & Willsey, M. (2019) · Proceedings of the IEEE · doi:10.1109/jproc.2018.2875386 · Cited by 69
König, N. F., Ouahabi, A. A., Poyer, S., Charles, L., & Lutz, J. (2017) · Angewandte Chemie International Edition · doi:10.1002/anie.201702384 · Cited by 73
Uncertainties in synthetic DNA-based data storage
Xu, C., Zhao, C., Ma, B., & Liu, H. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkab230 · Cited by 66
Image Encoding Using Multi‐Level DNA Barcodes with Nanopore Readout
Zhu, J., Ermann, N., Chen, K., & Keyser, U. F. (2021) · Small · doi:10.1002/smll.202100711 · Cited by 66
Enabling technology and core theory of synthetic biology
Zhang, X., Liu, C., Dai, J., Yuan, Y., Gao, C., Feng, Y. F., Wu, B., Wei, P., You, C., Wang, X., et al. (2023) · Science China Life Sciences · doi:10.1007/s11427-022-2214-2 · Cited by 69
Tabatabaei, S. K., Pham, B., Pan, C., Liu, J., Chandak, S., Shorkey, S. A., Hernandez, A. G., Aksimentiev, A., Chen, M., Schroeder, C. M., et al. (2022) · Nano Letters · doi:10.1021/acs.nanolett.1c04203 · Cited by 63
Semiautomated synthesis of sequence-defined polymers for information storage
Lee, J. M., Kwon, J.-H., Lee, S. J., Jang, H., Kim, D., Song, J., & Kim, K. T. (2022) · Science Advances · doi:10.1126/sciadv.abl8614 · Cited by 63
High-Capacity Digital Polymers: Storing Images in Single Molecules
Laurent, E., Amalian, J., Parmentier, M., Oswald, L., Ouahabi, A. A., Dufour, F., Launay, K., Jean-Louis, C., Gigmès, D., Delsuc, M., et al. (2020) · Macromolecules · doi:10.1021/acs.macromol.0c00666 · Cited by 63
DNA as a digital information storage device: hope or hype?
Panda, D., Molla, K. A., Baig, M. J., Swain, A., Behera, D., & Dash, M. (2018) · 3 Biotech · doi:10.1007/s13205-018-1246-7 · Cited by 68
Storing and Reading Information in Mixtures of Fluorescent Molecules
Nagarkar, A. A., Root, S. E., Fink, M. J., Ten, A. S., Cafferty, B. J., Richardson, D. S., Mrksich, M., & Whitesides, G. M. (2021) · ACS Central Science · doi:10.1021/acscentsci.1c00728 · Cited by 57
MS-DECODER: Milliseconds Sequencing of Coded Polymers
Burel, A., Carapito, C., Lutz, J., & Charles, L. (2017) · Macromolecules · doi:10.1021/acs.macromol.7b01737 · Cited by 52
Digital synthetic polymers for information storage
Yu, L., Chen, B., Li, Z., Huang, Q., He, K., Su, Y., Han, Z., Zhou, Y., Zhu, X., Yan, D., et al. (2023) · Chemical Society Reviews · doi:10.1039/d2cs01022d · Cited by 49
Information stored in nanoscale: Encoding data in a single DNA strand with Base64
Zhang, Y., Kong, L., Wang, F., Li, B., Ma, C., Chen, D., Liu, K., Fan, C., & Zhang, H. (2020) · Nano Today · doi:10.1016/j.nantod.2020.100871 · Cited by 48
Fei, Z., Gupta, N., Li, M., Xiao, P., & Hu, X. (2023) · Science Advances · doi:10.1126/sciadv.adg9933 · Cited by 47
Song, Y., Kim, S., Heller, M. J., & Huang, X. C. (2018) · Nature Communications · doi:10.1038/s41467-017-02705-8 · Cited by 47
Dahlhauser, S. D., Wight, C. D., Moor, S. R., Scanga, R. A., Ngo, P. H. T., York, J. T., Vera, M. S., Blake, K. J., Riddington, I. M., Reuther, J. F., et al. (2022) · ACS Central Science · doi:10.1021/acscentsci.2c00460 · Cited by 49
Producing highly complicated materials. Nature does it better
Bindi, L., Nespolo, M., Krivovichev, S. V., Chapuis, G., & Biagioni, C. (2020) · Reports on Progress in Physics · doi:10.1088/1361-6633/abaa3a · Cited by 45
Novel Modalities in DNA Data Storage
Lim, C. K., Nirantar, S., Yew, W. S., & Poh, C. L. (2021) · Trends in biotechnology · doi:10.1016/j.tibtech.2020.12.008 · Cited by 44
Reading Information Stored in Synthetic Macromolecules
Soete, M., Mertens, C., Badi, N., & Prez, F. D. (2022) · Journal of the American Chemical Society · doi:10.1021/jacs.2c10316 · Cited by 41
Rapidly sequence-controlled electrosynthesis of organometallic polymers
Zhang, J., Wang, J., Wei, C., Wang, Y., Xie, G., Li, Y., & Li, M. (2020) · Nature Communications · doi:10.1038/s41467-020-16255-z · Cited by 43
An outlook on the current challenges and opportunities in DNA data storage
Raza, M. H., Desai, S. S., Aravamudhan, S., & Zadegan, R. M. (2023) · Biotechnology Advances · doi:10.1016/j.biotechadv.2023.108155 · Cited by 42
Self-citationSubmillimetre Network Formation by Light-induced Hybridization of Zeptomole-level DNA
Iida, T., Nishimura, Y., Tamura, M., Nishida, K., Ito, S., & Tokonami, S. (2016) · Scientific Reports · doi:10.1038/srep37768 · Cited by 39
Szweda, R., Tschopp, M., Félix, O., Decher, G., & Lutz, J. (2018) · Angewandte Chemie International Edition · doi:10.1002/anie.201810559 · Cited by 40
Inscribed Matter Communication: Part I
Rose, C., & Mian, S. I. (2016) · IEEE Transactions on Molecular Biological and Multi-Scale Communications · doi:10.1109/tmbmc.2017.2655025 · Cited by 40
Furuhata, T., Ohshiro, T., Akimoto, G., Ueki, R., Taniguchi, M., & Sando, S. (2019) · ACS Nano · doi:10.1021/acsnano.9b01250 · Cited by 39
Damage and Repair in Informational Poly( N ‐substituted urethane)s
Mondal, T., Charles, L., & Lutz, J. (2020) · Angewandte Chemie International Edition · doi:10.1002/anie.202008864 · Cited by 38
Li, K., Lu, X., Liao, J., Chen, H., Wei, L., Zhao, Y., Tang, D., Li, C., Tian, Z., Zhu, Z., et al. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2410164121 · Cited by 38
Sequence-Encoded Macromolecules with Increased Data Storage Capacity through a Thiol-Epoxy Reaction
Soete, M., Mertens, C., Aksakal, R., Badi, N., & Prez, F. D. (2021) · ACS Macro Letters · doi:10.1021/acsmacrolett.1c00275 · Cited by 36
Molecular access to multi-dimensionally encoded information
Steinkoenig, J., Aksakal, R., & Prez, F. D. (2019) · European Polymer Journal · doi:10.1016/j.eurpolymj.2019.109260 · Cited by 35
Digital data storage on DNA tape using CRISPR base editors
Sadremomtaz, A., Glass, R. F., Guerrero, J. E., LaJeunesse, D., Josephs, E. A., & Zadegan, R. M. (2023) · Nature Communications · doi:10.1038/s41467-023-42223-4 · Cited by 37
Self-citationFractal construction of constrained code words for DNA storage systems
Löchel, H. F., Welzel, M., Hattab, G., Hauschild, A.-C., & Heider, D. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkab1209 · Cited by 34
Promiscuous molecules for smarter file operations in DNA-based data storage
Tomek, K. J., Volkel, K., Indermaur, E. W., Tuck, J. M., & Keung, A. J. (2021) · Nature Communications · doi:10.1038/s41467-021-23669-w · Cited by 35
Rewritable Macromolecular Data Storage with Automated Read‐out
Soete, M., Bruycker, K. D., & Prez, F. D. (2022) · Angewandte Chemie International Edition · doi:10.1002/anie.202116718 · Cited by 33
Design considerations for advancing data storage with synthetic DNA for long-term archiving
Ezekannagha, C., Becker, A., Heider, D., & Hattab, G. (2022) · Materials Today Bio · doi:10.1016/j.mtbio.2022.100306 · Cited by 31
Improving error-correcting capability in DNA digital storage via soft-decision decoding
Ding, L., Wu, S., Hou, Z., Li, A., Xu, Y., Feng, H., Pan, W., & Ruan, J. (2023) · National Science Review · doi:10.1093/nsr/nwad229 · Cited by 27
Functionalized Silicon Electrodes in Electrochemistry
Gonçales, V. R., Lian, J., Gautam, S., Tilley, R. D., & Gooding, J. J. (2020) · Annual Review of Analytical Chemistry · doi:10.1146/annurev-anchem-091619-092506 · Cited by 30
Concepts and Application of DNA Origami and DNA Self-Assembly: A Systematic Review
Liu, W., Duan, H., Zhang, D., Zhang, X., Luo, Q., Xie, T., Yan, H., Peng, L., Hu, Y., Li, L., et al. (2021) · Applied Bionics and Biomechanics · doi:10.1155/2021/9112407 · Cited by 30
Principles of Information Storage in Small-Molecule Mixtures
Rosenstein, J. K., Rose, C., Reda, S., Weber, P. M., Kim, E., Sello, J. K., Geiser, J. D., Kennedy, E., Arcadia, C. E., Dombroski, A., et al. (2020) · IEEE Transactions on NanoBioscience · doi:10.1109/tnb.2020.2977304 · Cited by 31
Scaling logical density of DNA storage with enzymatically-ligated composite motifs
Yan, Y., Pinnamaneni, N., Chalapati, S., Crosbie, C., & Appuswamy, R. (2023) · Scientific Reports · doi:10.1038/s41598-023-43172-0 · Cited by 29
Autonomous Computing Materials
Bathe, M., Hernandez, R., Komiyama, T., Machiraju, R., & Neogi, S. (2021) · ACS Nano · doi:10.1021/acsnano.0c09556 · Cited by 28
Preservation and Encryption in DNA Digital Data Storage
Zhang, Y., Ren, Y., Liu, Y., Wang, F., Zhang, H., & Liu, K. (2022) · ChemPlusChem · doi:10.1002/cplu.202200183 · Cited by 28
A mirror-image protein-based information barcoding and storage technology
Zheng, J., Liang, J., Shi, W., Li, Y., Hu, H., Tian, C., & Liu, L. (2021) · 中国科学通报:英文版 · doi:10.1016/j.scib.2021.03.010 · Cited by 27
Twisting of DNA Origami from Intercalators
Zadegan, R. M., Lindau, E. G., Klein, W. P., Green, C. M., Graugnard, E., Yurke, B., Kuang, W., & Hughes, W. L. (2017) · Scientific Reports · doi:10.1038/s41598-017-07796-3 · Cited by 26
Self-citationChemically Modified Aptamers in Biological Analysis
Shen, R., Tan, J., & Yuan, Q. (2020) · ACS Applied Bio Materials · doi:10.1021/acsabm.0c00062 · Cited by 27
Empowering DNA-Based Information Processing: Computation and Data Storage
Li, K., Chen, H., Li, D., Yang, C. J., Zhang, H., & Zhu, Z. (2024) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.4c13948 · Cited by 26
Decoding DNA data storage for investment
Stanley, P. M., Strittmatter, L. M., Vickers, A., & Lee, K. C. K. (2020) · Biotechnology Advances · doi:10.1016/j.biotechadv.2020.107639 · Cited by 24
Storing the portrait of Antoine de Lavoisier in a single macromolecule
Laurent, E., Amalian, J., Schutz, T., Launay, K., Jean-Louis, C., Gigmès, D., Burel, A., Carapito, C., Charles, L., Delsuc, M., et al. (2021) · Comptes Rendus Chimie · doi:10.5802/crchim.72 · Cited by 25
About the Crystallization of Abiotic Coded Matter
Petit, B. É., Lotz, B., & Lutz, J. (2019) · ACS Macro Letters · doi:10.1021/acsmacrolett.9b00307 · Cited by 24
Launay, K., Amalian, J., Laurent, E., Oswald, L., Ouahabi, A. A., Burel, A., Dufour, F., Carapito, C., Jean-Louis, C., Lutz, J., et al. (2020) · Angewandte Chemie International Edition · doi:10.1002/anie.202010171 · Cited by 25
Wu, W., Xiang, L., Liu, Q., & Yang, K. (2023) · IEEE Transactions on Molecular Biological and Multi-Scale Communications · doi:10.1109/tmbmc.2023.3331579 · Cited by 25
Recent Progress in High-Throughput Enzymatic DNA Synthesis for Data Storage
Baek, D. J., Joe, S.-Y., Shin, H., Park, C., Jo, S., & Chun, H. (2024) · BioChip Journal · doi:10.1007/s13206-024-00146-2 · Cited by 25
DeSP: a systematic DNA storage error simulation pipeline
Yuan, L., Xie, Z., Wang, Y., & Wang, X. (2022) · BMC Bioinformatics · doi:10.1186/s12859-022-04723-w · Cited by 23
DNA-based data storage via combinatorial assemblyPreprint
Roquet, N., Bhatia, S. P., Flickinger, S. A., Mihm, S., Norsworthy, M. W., Leake, D., & Park, H. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.04.20.440194 · Cited by 24
Multi-resolution simulation of DNA transport through large synthetic nanostructures
Choudhary, A., Maffeo, C., & Aksimentiev, A. (2022) · Physical Chemistry Chemical Physics · doi:10.1039/d1cp04589j · Cited by 22
A biological camera that captures and stores images directly into DNA
Lim, C. K., Yeoh, J. W., Kunartama, A. A., Yew, W. S., & Poh, C. L. (2023) · Nature Communications · doi:10.1038/s41467-023-38876-w · Cited by 25
Buko, T., Tuczko, N., & Ishikawa, T. (2023) · BioTech · doi:10.3390/biotech12020044 · Cited by 21
CLGBO: An Algorithm for Constructing Highly Robust Coding Sets for DNA Storage
Zheng, Y., Wu, J., & Wang, B. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.644945 · Cited by 22
Metadata
- Authors
- Zhirnov, V., Zadegan, R. M., Sandhu, G. S., Church, G. M., & Hughes, W. L.
- Affiliations
- Semiconductor Research Corporation (US)
- Boise State University (US)
- Micron (United States) (US)
- Harvard University (US)
- Corresponding author
- Church, George M.
- Hughes, William L.
- Venue
- Nature Materials
- Published
- 2016-03-23
- Volume
- 15
- Issue
- 4
- Pages
- 366-370
- ISSN
- 1476-1122 (ISSN-L)
- 1476-4660
- PMC
- PMC6361517
- OpenAlex
- W2302781903
- Cited by
- 307
- References
- 43
- Citations by year
- 2026: 23 · 2025: 38 · 2024: 42 · 2023: 41 · 2022: 40 · 2021: 35 · 2020: 31 · 2019: 22 · 2018: 15 · 2017: 13 · 2016: 7
- FWCI
- 8.12
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Nature Materials (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Scholar Works (Boise State University) (submittedVersion)
- Funders
- National Institute of General Medical Sciences (K25GM093233)
- Topics
- Physical Sciences › Mathematics › Theoretical Computer Science › DNA and Biological Computing
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Memory and Neural Computing
- Physical Sciences › Computer Science › Computer Networks and Communications › Advanced Data Storage Technologies
- Keywords
- DNA data storage, DNA strand displacement, information retention, storage density, energy efficiency
- MeSH terms
- Nucleic Acids, Information Storage and Retrieval
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review