Evidence map›Paper›PMID 39979452›Full record

ArticleScientific reports2025

Streamlining whole genome sequencing for clinical diagnostics with ONT technology.

Han-Chieh Wu, Yueh-Tzu Chiu, I-Ching Wu, Ci-Hong Liou, Hung-Wei Cheng, Shu-Chen Kuo, Tsai-Ling Lauderdale, Huey-Kang Sytwu, Yu-Chieh Liao, Feng-Jui Chen

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
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

10 authors.

Han-Chieh WuNational Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, No. 35, Keyan Road, Zhunan Town, Miaoli County, 350401, Taiwan.
Yueh-Tzu ChiuNational Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, No. 35, Keyan Road, Zhunan Town, Miaoli County, 350401, Taiwan.
I-Ching WuInstitute of Population of Health Sciences, National Health Research Institutes, No. 35, Keyan Road, Zhunan Town, Miaoli County, 350401, Taiwan.
Ci-Hong LiouNational Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, No. 35, Keyan Road, Zhunan Town, Miaoli County, 350401, Taiwan.
Hung-Wei ChengInstitute of Population of Health Sciences, National Health Research Institutes, No. 35, Keyan Road, Zhunan Town, Miaoli County, 350401, Taiwan.
Shu-Chen KuoNational Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, No. 35, Keyan Road, Zhunan Town, Miaoli County, 350401, Taiwan.
Tsai-Ling LauderdaleNational Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, No. 35, Keyan Road, Zhunan Town, Miaoli County, 350401, Taiwan.
Huey-Kang SytwuNational Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, No. 35, Keyan Road, Zhunan Town, Miaoli County, 350401, Taiwan.
Yu-Chieh LiaoInstitute of Population of Health Sciences, National Health Research Institutes, No. 35, Keyan Road, Zhunan Town, Miaoli County, 350401, Taiwan. jade@nhri.edu.tw.
Feng-Jui ChenNational Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, No. 35, Keyan Road, Zhunan Town, Miaoli County, 350401, Taiwan. frchen@nhri.edu.tw.

Funding

Ministry of Science and Technology, Taiwan 111-2314-B-400-033National Health Research Institutes IV-111-PP-11National Health Research Institutes IV-111-PP-23National Health Research Institutes PH-112-PP-05
6 · The paper itself

Abstract

Recent advances in whole-genome sequencing (WGS) have increased the accessibility of this tool, offering substantial potential for pathogen surveillance, outbreak response, and diagnostics. However, the routine clinical adoption of WGS is hindered by factors such as high costs, technical complexity, and the requirement for bioinformatics expertise for data analysis. To address these challenges, we propose RapidONT, a workflow designed for cost-effective and accessible WGS-based pathogen analysis. RapidONT employs a mechanical shearing-based DNA extraction protocol, followed by library construction by using a multiplexing Oxford nanopore technologies (ONT) rapid barcoding kit. Flye software is used for de novo assembly without manual intervention, followed by basic assembly polishing using Medaka and Homopolish. The polished assemblies are then analyzed using the user-friendly web-based platform Pathogenwatch, which facilitates species identification, molecular typing, and antimicrobial resistance (AMR) prediction, all while requiring minimal bioinformatics expertise. The efficacy of RapidONT was evaluated using nine clinically relevant pathogens, encompassing a total of 90 gram-positive and gram-negative bacterial strains. The workflow demonstrated high accuracy in critical tasks such as multilocus sequence typing (MLST) and AMR identification, using only ONT R9.4.1 flowcell data. Notably, limitations were observed with Salmonella spp. and Neisseria gonorrhoeae. Furthermore, RapidONT enabled the generation of genomic information for 48 bacterial isolates by using a single flow cell, significantly reducing sequencing costs. This approach eliminates the need for extensive experimentation in obtaining crucial genomic information. This workflow facilitates broader WGS implementation in clinical pathogen analysis and diagnostics.

Indexed as

Genome, BacterialWhole Genome SequencingComputational BiologyHigh-Throughput Nucleotide SequencingHumansSoftwareWorkflow

Identifiers

PMID39979452
PMCPMC11842811

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Registered trials

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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.