Evidence map›Paper›PMID 37384333›Full record

ArticleFrontiers in genetics2023

Towards long double-stranded chains and robust DNA-based data storage using the random code system.

Xu Yang, Xiaolong Shi, Langwen Lai, Congzhou Chen, Huaisheng Xu, Ming Deng

Abstract read
In one paragraph

Article in Frontiers in genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Xu YangInstitute of Computing Science and Technology, Guangzhou University, Guangzhou, China.
Xiaolong ShiInstitute of Computing Science and Technology, Guangzhou University, Guangzhou, China.
Langwen LaiInstitute of Computing Science and Technology, Guangzhou University, Guangzhou, China.
Congzhou ChenCollege of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China.
Huaisheng XuInstitute of Computing Science and Technology, Guangzhou University, Guangzhou, China.
Ming DengInstitute of Computing Science and Technology, Guangzhou University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA has become a popular choice for next-generation storage media due to its high storage density and stability. As the storage medium of life's information, DNA has significant storage capacity and low-cost, low-power replication and transcription capabilities. However, utilizing long double-stranded DNA for storage can introduce unstable factors that make it difficult to meet the constraints of biological systems. To address this challenge, we have designed a highly robust coding scheme called the "random code system," inspired by the idea of fountain codes. The random code system includes the establishment of a random matrix, Gaussian preprocessing, and random equilibrium. Compared to Luby transform codes (LT codes), random code (RC) has better robustness and recovery ability of lost information. In biological experiments, we successfully stored 29,390 bits of data in 25,700 bp chains, achieving a storage density of 1.78 bits per nucleotide. These results demonstrate the potential for using long double-stranded DNA and the random code system for robust DNA-based data storage.

Indexed as

DNA-based data storagehighly robustlong double-stranded chainsrandom code systemrandom equilibriumrandom matrix

Identifiers

PMID37384333
PMCPMC10294226

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.