Evidence map›Paper›PMID 36097016›Full record

ArticleNature communications2022

Robust data storage in DNA by de Bruijn graph-based de novo strand assembly.

Lifu Song, Feng Geng, Zi-Yi Gong, Xin Chen, Jijun Tang, Chunye Gong, Libang Zhou, Rui Xia, Ming-Zhe Han, Jing-Yi Xu and 2 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
7.2field-weighted citation impact, top 2% of its field
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

36 citing papers in PubMed, 86 citations in OpenAlex.

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  8. Two-dimensional data storage using a DNA molecular register.Frontiers in bioengineering and biotechnology · 2026
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  19. DNA storage: The future direction for medical cold data storage.Synthetic and systems biotechnology · 2025
    Review
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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

12 authors at 6 institutions in 1 country.

Lifu SongFrontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), Tianjin University, Tianjin, 300072, China.ORCID 0000-0003-1092-4568
Feng GengCollege of Pharmacy, Binzhou Medical University, Yantai, 264003, Shandong Province, China.
Zi-Yi GongFrontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), Tianjin University, Tianjin, 300072, China.ORCID 0000-0003-1154-5404
Xin ChenCentor for Applied Mathematics, Tianjin University, Tianjin, 300072, China.
Jijun TangSchool of Computer Science and Technology, College of Intelligence and Computing, Tianjin University, Tianjin, 300350, China.
Chunye GongNational SuperComputer Center in Tianjin, Tianjin, 300457, China.ORCID 0000-0003-0349-1100
Libang ZhouCollege of Food Science and Technology, Nanjing Agricultural University, Nanjing, 210095, Jiangsu Province, China.
Rui XiaNational SuperComputer Center in Tianjin, Tianjin, 300457, China.ORCID 0000-0003-1444-6778
Ming-Zhe HanFrontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), Tianjin University, Tianjin, 300072, China.ORCID 0000-0002-0990-4298
Jing-Yi XuFrontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), Tianjin University, Tianjin, 300072, China.ORCID 0000-0002-0241-1693
Bing-Zhi LiFrontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), Tianjin University, Tianjin, 300072, China. bzli@tju.edu.cn.ORCID 0000-0003-4121-3048
Ying-Jin YuanFrontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), Tianjin University, Tianjin, 300072, China. yjyuan@tju.edu.cn.ORCID 0000-0003-0553-0089
Tianjin University · CNNational Supercomputing Center of Tianjin · CNBinzhou Medical University · CNChinese Academy of Sciences · CNNanjing Agricultural University · CNTianjin University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA data storage is a rapidly developing technology with great potential due to its high density, long-term durability, and low maintenance cost. The major technical challenges include various errors, such as strand breaks, rearrangements, and indels that frequently arise during DNA synthesis, amplification, sequencing, and preservation. In this study, a de novo strand assembly algorithm (DBGPS) is developed using de Bruijn graph and greedy path search to meet these challenges. DBGPS shows substantial advantages in handling DNA breaks, rearrangements, and indels. The robustness of DBGPS is demonstrated by accelerated aging, multiple independent data retrievals, deep error-prone PCR, and large-scale simulations. Remarkably, 6.8 MB of data is accurately recovered from a severely corrupted sample that has been treated at 70 °C for 70 days. With DBGPS, we are able to achieve a logical density of 1.30 bits/cycle and a physical density of 295 PB/g.

Indexed as

High-Throughput Nucleotide SequencingInformation Storage and RetrievalAlgorithmsDNASequence Analysis, DNADNA

Identifiers

PMID36097016
PMCPMC9468002
OpenAlexW4295453817

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.