Evidence map›Paper›PMID 39406504›Full record

ArticleGenome research2024

Seamless, rapid, and accurate analyses of outbreak genomic data using split

Romain Derelle, Johanna von Wachsmann, Tommi Mäklin, Joel Hellewell, Timothy Russell, Ajit Lalvani, Leonid Chindelevitch, Nicholas J Croucher, Simon R Harris, John A Lees

Abstract read
In one paragraph

Article in Genome research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Persisting predominant clinical CC87Emerging microbes & infections · 2026
    Review
  2. BeyondEmerging microbes & infections · 2026
    Article
  3. Article
  4. Alignment-freeJournal of clinical microbiology · 2026
    Article
  5. Article
  6. Novel transposon TnMicrobial genomics · 2026
    Article
  7. Approaches to Studying Viral Pangenome Variation Graphs.Genomics, proteomics & bioinformatics · 2026
    Review
  8. Article
  9. Min-frame transformation enables more sensitive viral genome alignment.bioRxiv : the preprint server for biology · 2026
    Article
  10. Article
  11. Article
  12. Observational
  13. Article
  14. Probing Genomic Diversity ofFoods (Basel, Switzerland) · 2026
    Article
  15. Article
  16. Alignment-Free Guided Design of a Pan-Orthoflavivirus RT-qPCR Assay.bioRxiv : the preprint server for biology · 2026
    Article
  17. Article
  18. Novel transposon TnmedRxiv : the preprint server for health sciences · 2026
    Article
  19. Article
  20. bronko: ultrafast, alignment-free detection of viral genome variation.bioRxiv : the preprint server for biology · 2026
    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.

Romain Derelle *NIHR Health Protection Research Unit in Respiratory Infections, National Heart and Lung Institute, Imperial College London, London W21PG, United Kingdom.
Johanna von Wachsmann *European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton CB10 1SD, United Kingdom.
Tommi MäklinEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton CB10 1SD, United Kingdom.ORCID 0000-0003-0970-3514
Joel HellewellEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton CB10 1SD, United Kingdom.
Timothy RussellCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London WC1E 7HT, United Kingdom.ORCID 0000-0001-5610-6080
Ajit LalvaniNIHR Health Protection Research Unit in Respiratory Infections, National Heart and Lung Institute, Imperial College London, London W21PG, United Kingdom.
Leonid ChindelevitchMRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London W12 0BZ, United Kingdom.ORCID 0000-0002-6619-6013
Nicholas J CroucherMRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London W12 0BZ, United Kingdom.
Simon R Harris *Bill and Melinda Gates Foundation, Westminster, London SW1E 6AJ, United Kingdom.
John A Lees *European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton CB10 1SD, United Kingdom; jlees@ebi.ac.uk.ORCID 0000-0001-5360-1254

Funding

Medical Research Council MR/X020258/1
6 · The paper itself

Abstract

Sequence variation observed in populations of pathogens can be used for important public health and evolutionary genomic analyses, especially outbreak analysis and transmission reconstruction. Identifying this variation is typically achieved by aligning sequence reads to a reference genome, but this approach is susceptible to reference biases and requires careful filtering of called genotypes. There is a need for tools that can process this growing volume of bacterial genome data, providing rapid results, but that remain simple so they can be used without highly trained bioinformaticians, expensive data analysis, and long-term storage and processing of large files. Here we describe split

Indexed as

Disease OutbreaksGenome, BacterialBacteriaGenomicsGenotypeHumansSoftware

Identifiers

PMID39406504
PMCPMC11529842

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.