Evidence map›Paper›PMID 31666367›Full record

ArticleJournal of clinical microbiology2019

Hash-Based Core Genome Multilocus Sequence Typing for Clostridium difficile.

David W Eyre, Tim E A Peto, Derrick W Crook, A Sarah Walker, Mark H Wilcox

Abstract read
In one paragraph

Article in Journal of clinical microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Comparative Genomics of Clostridioides difficile.Advances in experimental medicine and biology · 2024
    Article
  3. Core genome multilocus sequence typing of Clostridioides difficile to investigate transmission in the hospital setting.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2023
    Article
  4. Review
  5. Article
  6. Review
  7. K-mer based prediction ofMicrobial genomics · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Transition From PCR-Ribotyping to Whole Genome Sequencing Based Typing ofFrontiers in cellular and infection microbiology · 2021
    Article
  13. A publicly accessible database forMicrobial genomics · 2020
    Article
  14. 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

5 authors.

David W EyreBig Data Institute, University of Oxford, Oxford, United Kingdom david.eyre@bdi.ox.ac.uk.
Tim E A PetoNational Institute for Health Research Oxford Biomedical Research Centre, Oxford, United Kingdom.
Derrick W CrookNational Institute for Health Research Oxford Biomedical Research Centre, Oxford, United Kingdom.
A Sarah Walker *National Institute for Health Research Oxford Biomedical Research Centre, Oxford, United Kingdom.
Mark H Wilcox *Healthcare Associated Infections Research Group, University of Leeds, Leeds, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pathogen whole-genome sequencing has huge potential as a tool to better understand infection transmission. However, rapidly identifying closely related genomes among a background of thousands of other genomes is challenging. Here, we describe a refinement to core genome multilocus sequence typing (cgMLST) in which alleles at each gene are reproducibly converted to a unique hash, or short string of letters (hash-cgMLST). This avoids the resource-intensive need for a single centralized database of sequentially numbered alleles. We test the reproducibility and discriminatory power of cgMLST/hash-cgMLST compared to those of mapping-based approaches in

Indexed as

Genome, BacterialMultilocus Sequence TypingClostridioides difficileClostridium InfectionsComputational BiologyHumansPolymorphism, Single NucleotideSequence Analysis, DNAWhole Genome SequencingClostridium difficilecore genome MLSTquality assurancewhole-genome sequencing

Identifiers

PMID31666367
PMCPMC6935933

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.