Towards density-optimal DNA storage with practical bijective coding

DNA storage is a promising solution to data explosion due to its high density and longevity. However, existing coding methods struggle to efficiently avoid error-prone sequences while retaining usable ones, leading to low density and high copy numbers. Here we show Siyuan Code, a DNA storage codec that achieves theoretically optimal density. Our method maps binary data to nearly all suitable low-error sequences in a one-to-one manner, using our data structure to catalog and avoid error-prone patterns. This allows operation under very strict biochemical constraints with minimal redundancy. Experiments demonstrate a storage density of 1.66 bits per nucleotide and a capacity of 41 exabytes per gram of DNA, with perfect data retrieval using only six copies per strand. Encoding and decoding speeds reach approximately 1 megabyte per second on commodity hardware, comparable to early USB flash drives. These results bring DNA storage closer to practical deployment. Existing DNA storage methods struggle to avoid error-prone sequences while retaining usable ones. Here the authors develop Siyuan Code, a bijective codec that avoids high-error patterns, utilises all suitable strands, and reaches 1.66 bits/nucleotide, 41 EB/gram, and only uses 6 copies/strand.

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Publication Details

Journal
Nature Communications
Published
2026-08-27
DOI
https://doi.org/10.1038/s41467-026-77024-y
Primary Topic
DNA and Biological Computing
Type
article
Field-Weighted Citation Impact
0.00

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article

Towards density-optimal DNA storage with practical bijective coding

Haibing Guan, Mingkai Dong, Zhengwei Qi, Jiasen Li
Nature Communications
DNA and Biological Computing
article

Towards density-optimal DNA storage with practical bijective coding

Haibing Guan, Mingkai Dong, Zhengwei Qi, Jiasen Li
article en

Abstract

DNA storage is a promising solution to data explosion due to its high density and longevity. However, existing coding methods struggle to efficiently avoid error-prone sequences while retaining usable ones, leading to low density and high copy numbers. Here we show Siyuan Code, a DNA storage codec that achieves theoretically optimal density. Our method maps binary data to nearly all suitable low-error sequences in a one-to-one manner, using our data structure to catalog and avoid error-prone patterns. This allows operation under very strict biochemical constraints with minimal redundancy. Experiments demonstrate a storage density of 1.66 bits per nucleotide and a capacity of 41 exabytes per gram of DNA, with perfect data retrieval using only six copies per strand. Encoding and decoding speeds reach approximately 1 megabyte per second on commodity hardware, comparable to early USB flash drives. These results bring DNA storage closer to practical deployment. Existing DNA storage methods struggle to avoid error-prone sequences while retaining usable ones. Here the authors develop Siyuan Code, a bijective codec that avoids high-error patterns, utilises all suitable strands, and reaches 1.66 bits/nucleotide, 41 EB/gram, and only uses 6 copies/strand.

Nature Communications
Shanghai Jiao Tong University (CN)
Shanghai Jiao Tong University
Openalex Percentile: Top 35%
DNA and Biological Computing
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