Towards practical, high-capacity, low-maintenance information storage in synthesized DNA
Nick Goldman,Paul Bertone,Siyuan Chen,Christophe Dessimoz,Emily M LeProust,Botond Sipos,Ewan Birney +6 more
TLDR
Theoretical analysis indicates that the DNA-based storage scheme could be scaled far beyond current global information volumes and offers a realistic technology for large-scale, long-term and infrequently accessed digital archiving.Abstract:
Digital production, transmission and storage have revolutionized how we access and use information but have also made archiving an increasingly complex task that requires active, continuing maintenance of digital media. This challenge has focused some interest on DNA as an attractive target for information storage because of its capacity for high-density information encoding, longevity under easily achieved conditions and proven track record as an information bearer. Previous DNA-based information storage approaches have encoded only trivial amounts of information or were not amenable to scaling-up, and used no robust error-correction and lacked examination of their cost-efficiency for large-scale information archival. Here we describe a scalable method that can reliably store more information than has been handled before. We encoded computer files totalling 739 kilobytes of hard-disk storage and with an estimated Shannon information of 5.2 × 10(6) bits into a DNA code, synthesized this DNA, sequenced it and reconstructed the original files with 100% accuracy. Theoretical analysis indicates that our DNA-based storage scheme could be scaled far beyond current global information volumes and offers a realistic technology for large-scale, long-term and infrequently accessed digital archiving. In fact, current trends in technological advances are reducing DNA synthesis costs at a pace that should make our scheme cost-effective for sub-50-year archiving within a decade.read more
Citations
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Journal ArticleDOI
Large-scale de novo DNA synthesis: technologies and applications
Sriram Kosuri,George M. Church +1 more
TL;DR: Methods and caveats for the de novo synthesis of DNA are summarized, with particular emphasis on recent technologies that allow for large-scale and low-cost production.
Journal ArticleDOI
Supramolecular self-assemblies as functional nanomaterials
TL;DR: This compilation illustrates how, based on the rules of supramolecular chemistry, the bottom-up approach to design functional objects at the nanoscale is currently producing highly sophisticated materials oriented towards a growing number of applications with high societal impact.
Journal ArticleDOI
Robust Chemical Preservation of Digital Information on DNA in Silica with Error-Correcting Codes
TL;DR: The original information could be recovered error free, even after treating the DNA in silica at 70 °C for one week, which is thermally equivalent to storing information on DNA in central Europe for 2000 years.
Journal ArticleDOI
DNA Fountain enables a robust and efficient storage architecture.
Yaniv Erlich,Dina Zielinski +1 more
TL;DR: A storage strategy that is highly robust and approaches the information capacity per nucleotide, and a perfect retrieval from a density of 215 petabytes per gram of DNA, orders of magnitude higher than previous reports are reported.
Journal ArticleDOI
Random access in large-scale DNA data storage
Lee Organick,Siena Dumas Ang,Yuan-Jyue Chen,Randolph Lopez,Sergey Yekhanin,Konstantin Makarychev,Konstantin Makarychev,Miklos Z. Racz,Miklos Z. Racz,Govinda M. Kamath,Govinda M. Kamath,Parikshit Gopalan,Parikshit Gopalan,Bichlien H. Nguyen,Christopher N. Takahashi,Sharon Newman,Sharon Newman,Hsing Yeh Parker,Cyrus Rashtchian,Kendall Stewart,Gagan Gupta,Robert Carlson,John Mulligan,Douglas Carmean,Georg Seelig,Luis Ceze,Karin Strauss +26 more
TL;DR: A large library of primers are designed and validated that enable individual recovery of all files stored within the DNA, and an algorithm is developed that greatly reduces the sequencing read coverage required for error-free decoding by maximizing information from all sequence reads.
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