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October 18, 2025Nature Communications6 citationsOpen Access

DNA StairLoop: enabling high-fidelity data recovery and robust error correction in DNA-based data storage

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ZYZihui YanGQGuanjin QuXCXin Chen

Key Points

  • StairLoop enables high-fidelity data recovery under harsh conditions, enhancing data storage reliability.
  • It achieved up to 10% error correction capability with a mean coverage rate of 15x, ensuring data integrity.
  • The method employs high-throughput electrochemical synthesis, addressing key issues of low fidelity and scalability.
  • Validating through in-vitro experiments, StairLoop can recover data despite high error and dropout rates.

Abstract

High-throughput electrochemical synthesis is an emerging DNA synthesis technology that has attracted considerable attention due to its scalability and cost-effectiveness. However, its high error rates and poor synthesis uniformity pose significant challenges for applications in DNA data storage, where high fidelity is essential. In this study, we present StairLoop, a coding scheme designed to address these error characteristics, providing robust error-correcting capabilities. Validated through in-vitro experiments, StairLoop successfully recovers original data under harsh conditions, including nucleotide error rates exceeding 6% or dropout rates over 30% within a block, with sequencing depths of less than 3x . Moreover, the simulation results show that StairLoop can achieve an error correction capability of 10% at the mean coverage rate of 15x. These results highlight StairLoop's potential to enhance the reliability and practicality of electrochemical DNA synthesis for data storage applications. High-throughput electrochemical synthesis is ideal for DNA storage, but suffers from low fidelity. Here, authors propose a coding scheme named DNA StairLoop. Experiments demonstrate that it can recover data with high error rates and low sequencing depths, improving the practicality of this technique.

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Cite This Study

Yan et al. (2025) studied this question.

synapsesocial.com/papers/68f3eb011cfc5ad53f29076ehttps://doi.org/10.1038/s41467-025-64230-3
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