ArticleNature communications2025
Approaching single-molecule assembly-free readout from medium-length encoded DNA.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Highly biased DNA sequence reconstruction in DNA storage with multi-scale attention mechanism and contrast learning.Synthetic and systems biotechnology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
For DNA data storage, nanopore sequencing can facilitate rapid readout but suffers from severe insertion/deletion errors, which are quite computationally expensive to correct. Here, we propose a nearly single-molecule and assembly-free readout scheme for medium-length pseudo-noise piloting DNA fragments. Specifically, we devise medium-length DNA fragments using low-density parity-check codes companioned by pseudo-noise sequence (PNC-LDPC). A single cleavage on this encoded DNA by transposase generates DNA fragments of approximately full length. Using the readout-aware pseudo-noise sequences, noisy nanopore reads with arbitrary start points are directly located, and base insertions/deletions are corrected, enabling fast and reliable recovery even at very low coverages. Experimental results indicate that the data can be reliably recovered at a coverage of 1.24-3.15× with a typical nanopore sequencing error rate of 1.83%. This method enables error-free recovery in near single-molecule scenarios, highlighting the potential of PNC-LDPC encoded medium-length DNA for data storage applications.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.