ArticleNature communications2023
A digital twin for DNA data storage based on comprehensive quantification of errors and biases.
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 15 papers.
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Who cites it
15 citing papers in PubMed.
- Polus: a context-aware enhancement framework for DNA storage via transformer-based soft-decision decoding.Bioinformatics (Oxford, England) · 2026Article
- A DNA-Local, Constraint-Aware Dual-Head Transformer for Pseudorandom Stream Generation.Entropy (Basel, Switzerland) · 2026Article
- Review
- Modeling DNA storage retrieval reliability via sequencing coverage depth.Briefings in bioinformatics · 2026Article
- Large-Scale Distribution of Physical Data Using DNA-of-Things Technology in Newspaper Printing.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- From spacecraft ranging to massive DNA data storage: Composite ranging codes as indices and error correction references.Science advances · 2026Article
- Gungnir codec enabling high error-tolerance and low-redundancy DNA storage through substantial computing power.Nature communications · 2026Article
- Comparison of state-of-the-art error-correction coding for sequence-based DNA data storage.Nature communications · 2026Article
- Predicting sequence-specific amplification efficiency in multi-template PCR with deep learning.Nature communications · 2025Article
- DNA-CTMF: Reconstruct high quality image from lossy DNA storage via Pixel-Base codebook and median filter.Synthetic and systems biotechnology · 2025Article
- Dna-storalator: a computational simulator for DNA data storage.BMC bioinformatics · 2025Article
- Physics-informed machine learning digital twin for reconstructing prostate cancer tumor growth via PSA tests.NPJ digital medicine · 2025Article
- Electro-switchable addressing system for achieving repetitive random data access.Nucleic acids research · 2025Article
- Massively parallel homogeneous amplification of chip-scale DNA for DNA information storage (MPHAC-DIS).Nature communications · 2025Article
- A digital twin for DNA data storage based on comprehensive quantification of errors and biases.Nature communications · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Archiving data in synthetic DNA offers unprecedented storage density and longevity. Handling and storage introduce errors and biases into DNA-based storage systems, necessitating the use of Error Correction Coding (ECC) which comes at the cost of added redundancy. However, insufficient data on these errors and biases, as well as a lack of modeling tools, limit data-driven ECC development and experimental design. In this study, we present a comprehensive characterisation of the error sources and biases present in the most common DNA data storage workflows, including commercial DNA synthesis, PCR, decay by accelerated aging, and sequencing-by-synthesis. Using the data from 40 sequencing experiments, we build a digital twin of the DNA data storage process, capable of simulating state-of-the-art workflows and reproducing their experimental results. We showcase the digital twin's ability to replace experiments and rationalize the design of redundancy in two case studies, highlighting opportunities for tangible cost savings and data-driven ECC development.
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