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Updated: Jan 11, 2026

Ultra-long Read Sequencing for Whole Genomic DNA Analysis
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Approaching single-molecule assembly-free readout from medium-length encoded DNA.

Weigang Chen1,2,3, Rui Qin4, Quan Guo4

  • 1School of Microelectronics, Tianjin University, Tianjin, China. chenwg@tju.edu.cn.

Nature Communications
|November 17, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a new DNA data storage method using pseudo-noise piloting low-density parity-check codes (PNC-LDPC). It enables fast, error-free data recovery from nanopore sequencing, even with low coverage and high error rates.

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Area of Science:

  • Biotechnology
  • Bioinformatics
  • Data Storage

Background:

  • Nanopore sequencing offers rapid DNA data readout but faces challenges with insertion/deletion errors, requiring computationally intensive correction.
  • Existing DNA data storage methods struggle with efficient error correction, limiting readout speed and reliability.

Purpose of the Study:

  • To develop a novel, assembly-free readout scheme for DNA data storage using medium-length DNA fragments.
  • To address the computational expense of error correction in nanopore sequencing for DNA data storage.

Main Methods:

  • Devised medium-length DNA fragments encoded with pseudo-noise sequence and low-density parity-check codes (PNC-LDPC).
  • Utilized a single transposase cleavage to generate DNA fragments of approximately full length.
  • Employed readout-aware pseudo-noise sequences for direct location of noisy nanopore reads and correction of insertions/deletions.

Main Results:

  • Achieved reliable data recovery at coverages as low as 1.24-3.15×, despite a typical nanopore sequencing error rate of 1.83%.
  • Demonstrated error-free data recovery in near single-molecule scenarios.
  • Successfully located noisy nanopore reads with arbitrary start points and corrected base errors.

Conclusions:

  • The proposed PNC-LDPC encoded DNA fragments offer a fast and reliable readout scheme for DNA data storage.
  • This method significantly reduces the computational cost associated with error correction in nanopore sequencing.
  • Highlights the potential of PNC-LDPC encoded DNA for efficient and robust data storage applications.