Evidence map›Paper›PMID 39702496›Full record

ArticleCommunications biology2024

Repeat and haplotype aware error correction in nanopore sequencing reads with DeChat.

Yuansheng Liu, Yichen Li, Enlian Chen, Jialu Xu, Wenhai Zhang, Xiangxiang Zeng, Xiao Luo

Abstract read
In one paragraph

Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Haplotype-aware long-read error correction.Algorithms for molecular biology : AMB · 2026
    Article
  4. Article
  5. Article
  6. Complete genome sequence of a carbapenem-resistantMicrobiology resource announcements · 2026
    Article
  7. Article
  8. Article
  9. Efficient near telomere-to-telomere assembly of Nanopore Simplex reads.bioRxiv : the preprint server for biology · 2025
    Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Yuansheng Liu *College of Computer Science and Electronic Engineering, Hunan University, Changsha, China.ORCID 0000-0002-7680-3155
Yichen Li *College of Computer Science and Electronic Engineering, Hunan University, Changsha, China.
Enlian ChenCollege of Biology, Hunan University, Changsha, China.
Jialu XuCollege of Biology, Hunan University, Changsha, China.
Wenhai ZhangCollege of Biology, Hunan University, Changsha, China.ORCID 0009-0001-7381-3462
Xiangxiang ZengCollege of Computer Science and Electronic Engineering, Hunan University, Changsha, China.
Xiao LuoCollege of Biology, Hunan University, Changsha, China. xluo@hnu.edu.cn.ORCID 0000-0002-3914-359X

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32400506National Natural Science Foundation of China (National Science Foundation of China) 62102140National Natural Science Foundation of China (National Science Foundation of China) 62172002
6 · The paper itself

Abstract

Error self-correction is crucial for analyzing long-read sequencing data, but existing methods often struggle with noisy data or are tailored to technologies like PacBio HiFi. There is a gap in methods optimized for Nanopore R10 simplex reads, which typically have error rates below 2%. We introduce DeChat, a novel approach designed specifically for these reads. DeChat enables repeat- and haplotype-aware error correction, leveraging the strengths of both de Bruijn graphs and variant-aware multiple sequence alignment to create a synergistic approach. This approach avoids read overcorrection, ensuring that variants in repeats and haplotypes are preserved while sequencing errors are accurately corrected. Benchmarking on simulated and real datasets shows that DeChat-corrected reads have significantly fewer errors-up to two orders of magnitude lower-compared to other methods, without losing read information. Furthermore, DeChat-corrected reads clearly improves genome assembly and taxonomic classification.

Indexed as

HaplotypesNanopore SequencingAlgorithmsHigh-Throughput Nucleotide SequencingHumansRepetitive Sequences, Nucleic AcidSequence Analysis, DNASoftware

Identifiers

PMID39702496
PMCPMC11659559

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.