scholarly journals Stabilizing synthetic DNA for long-term data storage with earth alkaline salts

2020 ◽  
Vol 56 (25) ◽  
pp. 3613-3616 ◽  
Author(s):  
A. Xavier Kohll ◽  
Philipp L. Antkowiak ◽  
Weida D. Chen ◽  
Bichlien H. Nguyen ◽  
Wendelin J. Stark ◽  
...  
Keyword(s):  
Data Storage ◽  
Storage System ◽  
Digital Data ◽  
Fossil Bone ◽  
Synthetic Dna ◽  
Alkali Salts ◽  
Term Data

Mimicking fossil bone, a storage system involving earth alkali salts enables the preservation of digital data in DNA.

scholarly journals A Self-contained and Self-explanatory DNA Storage System

2021 ◽  
Author(s):  
Min Li ◽  
Junbiao Dai ◽  
Qingshan Jiang ◽  
Yang Wang
Keyword(s):  
Data Storage ◽  
Storage System ◽  
Data File ◽  
Data Redundancy ◽  
Dna Storage ◽  
Data Restoration ◽  
Gene Data ◽  
High Uncertainty ◽  
Term Data

Abstract Current research on DNA storage usually focuses on the improvement of storage density with reduced gene synthesis cost by developing effective encoding and decoding schemes while lacking the consideration on the uncertainty in ultra long-term data storage and retention. Consequently, the current DNA storage systems are often not self-containment, implying that they have to resort to external tools for the restoration of the stored gene data. This may result in high risks in data loss since the required tools might not be available due to the high uncertainty in far future. To address this issue, we propose in this paper a self-contained DNA storage system that can make self-explanatory to its stored data without relying on any external tools. To this end, we design a specific DNA file format whereby a separate storage scheme is developed to reduce the data redundancy while an effective indexing is designed for random read operations to the stored data file. We verified through experimental data that the proposed self-contained and self-explanatory method can not only get rid of the reliance on external tools for data restoration but also minimize the data redundancy brought about when the amount of data to be stored reaches a certain scale.

scholarly journals A self-contained and self-explanatory DNA storage system

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Min Li ◽  
Jiashu Wu ◽  
Junbiao Dai ◽  
Qingshan Jiang ◽  
Qiang Qu ◽  
...  
Keyword(s):  
Data Storage ◽  
Storage System ◽  
Data File ◽  
Data Redundancy ◽  
Dna Storage ◽  
Data Restoration ◽  
High Uncertainty ◽  
Term Data ◽  
Far Future

AbstractCurrent research on DNA storage usually focuses on the improvement of storage density by developing effective encoding and decoding schemes while lacking the consideration on the uncertainty in ultra-long-term data storage and retention. Consequently, the current DNA storage systems are often not self-contained, implying that they have to resort to external tools for the restoration of the stored DNA data. This may result in high risks in data loss since the required tools might not be available due to the high uncertainty in far future. To address this issue, we propose in this paper a self-contained DNA storage system that can bring self-explanatory to its stored data without relying on any external tool. To this end, we design a specific DNA file format whereby a separate storage scheme is developed to reduce the data redundancy while an effective indexing is designed for random read operations to the stored data file. We verified through experimental data that the proposed self-contained and self-explanatory method can not only get rid of the reliance on external tools for data restoration but also minimise the data redundancy brought about when the amount of data to be stored reaches a certain scale.

scholarly journals On Models and Capacity Bounds for DNA-based Storage Channels

2021 ◽  
Author(s):  
Zihui Yan ◽  
Cong Liang
Keyword(s):  
Data Storage ◽  
Storage System ◽  
Synchronization Error ◽  
Dna Molecules ◽  
Capacity Limits ◽  
Dna Storage ◽  
Capacity Bounds ◽  
Dna Strands ◽  
Term Data

In recent years, DNA-based systems have become a promising medium for long-term data storage. There are two layers of errors in DNA-based storage systems. The first is the dropouts of the DNA strands, which has been characterized in the shuffling-sampling channel. The second is insertions, deletions, and substitutions of nucleotides in individual DNA molecules. In this paper, we describe a DNA noisy synchronization error channel to characterize the errors in individual DNA molecules. We derive non-trivial lower and upper capacity bounds of the DNA noisy synchronization error channel based on information theory. By cascading these two channels, we provide theoretical capacity limits of the DNA storage system. These results reaffirm that DNA is a reliable storage medium with high storage density potential.

scholarly journals On Models and Capacity Bounds for DNA-based Storage Channels

2021 ◽  
Author(s):  
Zihui Yan ◽  
Cong Liang
Keyword(s):  
Data Storage ◽  
Storage System ◽  
Synchronization Error ◽  
Dna Molecules ◽  
Capacity Limits ◽  
Dna Storage ◽  
Capacity Bounds ◽  
Dna Strands ◽  
Term Data

In recent years, DNA-based systems have become a promising medium for long-term data storage. There are two layers of errors in DNA-based storage systems. The first is the dropouts of the DNA strands, which has been characterized in the shuffling-sampling channel. The second is insertions, deletions, and substitutions of nucleotides in individual DNA molecules. In this paper, we describe a DNA noisy synchronization error channel to characterize the errors in individual DNA molecules. We derive non-trivial lower and upper capacity bounds of the DNA noisy synchronization error channel based on information theory. By cascading these two channels, we provide theoretical capacity limits of the DNA storage system. These results reaffirm that DNA is a reliable storage medium with high storage density potential.

Blockchain Encryption on Student Academic Transcripts using a Smart Contract

2021 ◽  
Author(s):  
Primasatria Edastama ◽  
Ninda Lutfiani ◽  
Qurotul Aini ◽  
Suryari Purnama ◽  
Isabella Yaumil Annisa
Keyword(s):  
Data Storage ◽  
Storage System ◽  
Digital Data ◽  
Decentralized System ◽  
Blockchain Technology ◽  
Educational Environments ◽  
The World ◽  
Technology Applications ◽  
E Learning ◽  
Data Storage System

As an innovation in the world of computers, blockchain has many benefits and is also widely applied in the world of education. Blockchain itself has many advantages, especially in the world of education. Blockchain is a digital data storage system that consists of many servers (multiserver). In this Blockchain technology, data created by one server can be replicated and verified by another server. By using this technology with a decentralized system and strong cryptography and can help colleges or universities to build infrastructure in the archive storage of transcripts, diplomas, and diplomas. Usage One of the blockchain technology applications in education is iBC, namely the e-learning Blockchain Certificate, book copyright, and also e-Portfolios. iBC or e-learning Blockchain Certificate is a tool designed to create, verify and also issue blockchain certificates. As has been supported by the IBC to create certificates that are globally verified and stored in a decentralized manner. Here will be presented use cases that are relevant in the use of Blockchain technology in educational environments, especially data processing in universities and we also try to design an IBC based on blockchain technology that can be used to support transparency and accountability of colleges or universities in issuing diplomas and grades. 

Long-term data storage in DNA

2001 ◽  
Vol 19 (7) ◽  
pp. 247-250 ◽  
Author(s):  
Jonathan P.L Cox
Keyword(s):  
Data Storage ◽  
Term Data
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