Evidence map›Paper›PMID 36746948›Full record

ArticleNature communications2023

DNA-Aeon provides flexible arithmetic coding for constraint adherence and error correction in DNA storage.

Marius Welzel, Peter Michael Schwarz, Hannah F Löchel, Tolganay Kabdullayeva, Sandra Clemens, Anke Becker, Bernd Freisleben, Dominik Heider

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Article
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  5. Article
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  8. Two-dimensional data storage using a DNA molecular register.Frontiers in bioengineering and biotechnology · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. DNA storage: The future direction for medical cold data storage.Synthetic and systems biotechnology · 2025
    Review
  14. Cost-Effective DNA Storage System with DNA Movable Type.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  15. Article
  16. INNSE: Invertible neural network-based DNA image storage with self-correction encoding.Computational and structural biotechnology journal · 2025
    Article
  17. Optimizing fountain codes for DNA data storage.Computational and structural biotechnology journal · 2024
    Article
  18. Data recovery methods for DNA storage based on fountain codes.Computational and structural biotechnology journal · 2024
    Article
  19. Article
  20. 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

8 authors.

Marius WelzelDepartment of Mathematics and Computer Science, University of Marburg, Marburg, Germany.ORCID 0000-0002-4946-2156
Peter Michael SchwarzDepartment of Mathematics and Computer Science, University of Marburg, Marburg, Germany.ORCID 0000-0001-8763-1507
Hannah F LöchelDepartment of Mathematics and Computer Science, University of Marburg, Marburg, Germany.ORCID 0000-0003-3515-570X
Tolganay KabdullayevaCenter for Synthetic Microbiology (SYNMIKRO), University of Marburg, Marburg, Germany.
Sandra ClemensDepartment of Mathematics and Computer Science, University of Marburg, Marburg, Germany.ORCID 0000-0002-9710-1152
Anke BeckerCenter for Synthetic Microbiology (SYNMIKRO), University of Marburg, Marburg, Germany.ORCID 0000-0003-4561-9184
Bernd FreislebenDepartment of Mathematics and Computer Science, University of Marburg, Marburg, Germany.
Dominik HeiderDepartment of Mathematics and Computer Science, University of Marburg, Marburg, Germany. dominik.heider@uni-marburg.de.ORCID 0000-0002-3108-8311

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The extensive information capacity of DNA, coupled with decreasing costs for DNA synthesis and sequencing, makes DNA an attractive alternative to traditional data storage. The processes of writing, storing, and reading DNA exhibit specific error profiles and constraints DNA sequences have to adhere to. We present DNA-Aeon, a concatenated coding scheme for DNA data storage. It supports the generation of variable-sized encoded sequences with a user-defined Guanine-Cytosine (GC) content, homopolymer length limitation, and the avoidance of undesired motifs. It further enables users to provide custom codebooks adhering to further constraints. DNA-Aeon can correct substitution errors, insertions, deletions, and the loss of whole DNA strands. Comparisons with other codes show better error-correction capabilities of DNA-Aeon at similar redundancy levels with decreased DNA synthesis costs. In-vitro tests indicate high reliability of DNA-Aeon even in the case of skewed sequencing read distributions and high read-dropout.

Indexed as

DNADNA ReplicationAlgorithmsReproducibility of ResultsSequence Analysis, DNADNA

Identifiers

PMID36746948
PMCPMC9902613

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Registered trials

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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.