Evidence map›Paper›PMID 40918069›Full record

ArticleNAR genomics and bioinformatics2025

Assembly-free typing of Nanopore and Illumina data through proximity scoring with KMA.

Philip T L C Clausen, Malte B Hallgren, Søren Overballe-Petersen, Vanessa R Marcelino, Henrik Hasman, Frank M Aarestrup

Abstract read
In one paragraph

Article in NAR genomics and bioinformatics, 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. Metagenomic Profiling of DiarrheagenicCurrent issues in molecular biology · 2026
    Article
  2. Primer-Less Species Identification Throughout Fungal (International journal of molecular sciences · 2026
    Article
  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

6 authors.

Philip T L C ClausenResearch Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark.ORCID https://orcid.org/0000-0002-8197-7520
Malte B HallgrenResearch Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark.ORCID https://orcid.org/0009-0002-4005-7071
Søren Overballe-PetersenDepartment of Bacteria, Parasites, and Fungi, Statens Serum Institut, 2300 Copenhagen, Denmark.
Vanessa R MarcelinoDepartment of Microbiology and Immunology at The Peter Doherty Institute, University of Melbourne, VIC 3010, Australia.
Henrik HasmanDepartment of Bacteria, Parasites, and Fungi, Statens Serum Institut, 2300 Copenhagen, Denmark.
Frank M AarestrupResearch Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark.ORCID https://orcid.org/0000-0002-7116-2723

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in Oxford Nanopore Technologies (ONT) with the introduction of the r10.4.1 flow cell have reduced the sequencing error rates to <1%. When a reference sequence is known, this allows for accurate variant calling comparable with what is known from the second-generation short-read sequencing technologies, such as Illumina. Additionally, the longer sequence reads provided by ONT enable more efficient mappings, which means the amount of multimapping reads is reduced. However, when the correct reference is not known in advance, and the target reference is highly similar to other references, the multimapping problem is still a concern. Although the

Indexed as

AlgorithmsHigh-Throughput Nucleotide SequencingMultilocus Sequence TypingNanoporesNanopore SequencingSequence Analysis, DNAAllelesHumans

Identifiers

PMID40918069
PMCPMC12408904

What OpenQuestion holds

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LicenceCC BY
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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.