Comparison of state-of-the-art error-correction coding for sequence-based DNA data storage

Many codecs with different error-correction approaches have been implemented for DNA data storage to date. However, no studies have systematically benchmarked codec implementations to establish their current state-of-the-art. Here, we use in silico and in vitro experiments to compare the performance of six representative codecs from literature. In isolation, these codecs can tolerate error rates up to 14% and a sequence loss of 65%. Under realistic conditions, we further establish that storage densities as high as 117 EB g<sup>-1</sup> are feasible using existing codecs and current synthesis and sequencing technologies. Verifying our results experimentally, we demonstrate data storage at 43 EB g<sup>-1</sup> using synthesis by material deposition and 13 EB g<sup>-1</sup> using electrochemical synthesis, employing existing codecs from literature. Besides closing in on the physical limits of DNA data storage, this study thus demonstrates the maturity of error-correction coding, defines its current state-of-the-art, and establishes best practices for codec benchmarking.

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Publication Details

Journal
Nature Communications
Published
2026-03-14
DOI
https://doi.org/10.1038/s41467-026-70548-3
Primary Topic
DNA and Biological Computing
Type
article
Field-Weighted Citation Impact
0.00

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article

Comparison of state-of-the-art error-correction coding for sequence-based DNA data storage

Robert N. Grass, Andreas L. Gimpel, Alex Remschak, Wendelin J. Stark et al.
Nature Communications
DNA and Biological Computing
article

Comparison of state-of-the-art error-correction coding for sequence-based DNA data storage

Robert N. Grass, Andreas L. Gimpel, Alex Remschak, Wendelin J. Stark, Reinhard Heckel
article en

Abstract

Many codecs with different error-correction approaches have been implemented for DNA data storage to date. However, no studies have systematically benchmarked codec implementations to establish their current state-of-the-art. Here, we use in silico and in vitro experiments to compare the performance of six representative codecs from literature. In isolation, these codecs can tolerate error rates up to 14% and a sequence loss of 65%. Under realistic conditions, we further establish that storage densities as high as 117 EB g<sup>-1</sup> are feasible using existing codecs and current synthesis and sequencing technologies. Verifying our results experimentally, we demonstrate data storage at 43 EB g<sup>-1</sup> using synthesis by material deposition and 13 EB g<sup>-1</sup> using electrochemical synthesis, employing existing codecs from literature. Besides closing in on the physical limits of DNA data storage, this study thus demonstrates the maturity of error-correction coding, defines its current state-of-the-art, and establishes best practices for codec benchmarking.

Nature Communications
ETH Zurich (CH), Technical University of Munich (DE)
European Commission, Eidgenössische Technische Hochschule Zürich
Openalex Percentile: Top 22%
DNA and Biological Computing
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