ArticleScientific reports2023
Scaling logical density of DNA storage with enzymatically-ligated composite motifs.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Error characterization and error correction approaches in combinatorial DNA-based storage.Scientific reports · 2026Article
- Evolved DNAzymes and Stable Activation Chemistry Enable High-Efficiency DNA Ligation.Chemistry (Weinheim an der Bergstrasse, Germany) · 2026Article
- Motif caller for sequence reconstruction in motif-based DNA storage.Scientific reports · 2025Article
- Directed assembly of single-stranded DNA fragments for data storage via protein-free catalytic splint ligation.Nucleic acids research · 2025Article
- DNA storage: The future direction for medical cold data storage.Synthetic and systems biotechnology · 2025Review
- High-performance protocol for ultra-short DNA sequencing using Oxford Nanopore Technology (ONT).PloS one · 2025Article
- Efficient DNA-based data storage using shortmer combinatorial encoding.Scientific reports · 2024Article
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5 authors.
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Abstract
DNA is a promising candidate for long-term data storage due to its high density and endurance. The key challenge in DNA storage today is the cost of synthesis. In this work, we propose composite motifs, a framework that uses a mixture of prefabricated motifs as building blocks to reduce synthesis cost by scaling logical density. To write data, we introduce Bridge Oligonucleotide Assembly, an enzymatic ligation technique for synthesizing oligos based on composite motifs. To sequence data, we introduce Direct Oligonucleotide Sequencing, a nanopore-based technique to sequence short oligos, eliminating common preparatory steps like DNA assembly, amplification and end-prep. To decode data, we introduce Motif-Search, a novel consensus caller that provides accurate reconstruction despite synthesis and sequencing errors. Using the proposed methods, we present an end-to-end experiment where we store the text "HelloWorld" at a logical density of 84 bits/cycle (14-42× improvement over state-of-the-art).
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