Evidence map›Paper›PMID 41040959›Full record

ArticlePatterns (New York, N.Y.)2025

Achieving handle-level random access in an encrypted DNA archival storage system via frequency dictionary mapping coding.

Ben Cao, Xue Li, Bin Wang, Tiantian He, Yanfen Zheng, Xiaokang Zhang, Qiang Zhang

Abstract read
In one paragraph

Article in Patterns (New York, N.Y.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

7 citing papers in PubMed.

  1. Article
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  7. INNSE: Invertible neural network-based DNA image storage with self-correction encoding.Computational and structural biotechnology journal · 2025
    Article
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

7 authors.

Ben CaoSchool of Computer Science and Technology, Dalian University of Technology, Dalian 116024, China.
Xue LiSchool of Computer Science and Technology, China University of Petroleum, Qingdao 266580, China.
Bin WangThe Key Laboratory of Advanced Design and Intelligent Computing, Ministry of Education, School of Software Engineering, Dalian University, Dalian 116622, China.
Tiantian HeSchool of Computer Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore.
Yanfen ZhengSchool of Computer Science and Technology, Dalian University of Technology, Dalian 116024, China.
Xiaokang ZhangSchool of Computer Science and Technology, Dalian University of Technology, Dalian 116024, China.
Qiang ZhangSchool of Computer Science and Technology, Dalian University of Technology, Dalian 116024, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA storage provides a high storage density and durability, but current systems experience high latency and lack data security. This study proposed the use of frequency dictionary mapping coding (FDMC) to enable handle-level random access of DNA archival storage. In addition, a hybrid e-molecular encryption strategy and a multi-level error-correction algorithm were introduced to ensure data security and integrity. The simulation and wet experiment results demonstrated that FDMC achieved handle-level random access in a lossless encrypted DNA storage system, which balanced security and robustness. Even in extreme cases, in which there was a 10% loss of DNA sequences, this system still recovered 91.74% of the original data while ensuring a storage density above 1.80 bits per nucleotide. In summary, FDMC enhances the application potential of DNA as a storage medium and bridges the gap between DNA storage and traditional storage modes.

Indexed as

data securityDNA storagefrequency dictionary mapping codingrandom access

Identifiers

PMID41040959
PMCPMC12485530

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.