Evidence map›Paper›PMID 28824552›Full record

ArticleFrontiers in microbiology2017

Pan-genome Analyses of the Species

Chad R Laing, Matthew D Whiteside, Victor P J Gannon

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
10.0field-weighted citation impact, top 2% of its field
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

36 citing papers in PubMed, 76 citations in OpenAlex.

  1. Article
  2. Probing Genomic Diversity ofFoods (Basel, Switzerland) · 2026
    Article
  3. Genomic Markers Distinguishing Shiga Toxin-ProducingPathogens (Basel, Switzerland) · 2025
    Article
  4. Article
  5. Article
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  12. Review
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  16. Review
  17. Article
  18. Article
  19. Article
  20. Identification and Monitoring ofJournal of microbiology and biotechnology · 2021
    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

3 authors at 1 institution in 1 country.

Chad R LaingNational Microbiology Laboratory, Public Health Agency of CanadaLethbridge, AB, Canada.
Matthew D WhitesideNational Microbiology Laboratory, Public Health Agency of CanadaLethbridge, AB, Canada.
Victor P J GannonNational Microbiology Laboratory, Public Health Agency of CanadaLethbridge, AB, Canada.
Public Health Agency of Canada · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Food safety is a global concern, with upward of 2.2 million deaths due to enteric disease every year. Current whole-genome sequencing platforms allow routine sequencing of enteric pathogens for surveillance, and during outbreaks; however, a remaining challenge is the identification of genomic markers that are predictive of strain groups that pose the most significant health threats to humans, or that can persist in specific environments. We have previously developed the software program Panseq, which identifies the pan-genome among a group of sequences, and the SuperPhy platform, which utilizes this pan-genome information to identify biomarkers that are predictive of groups of bacterial strains. In this study, we examined the pan-genome of 4893 genomes of

Indexed as

food safetygenomicspan-genomepredictive markersSalmonella

Identifiers

PMID28824552
PMCPMC5534482
OpenAlexW2739666533

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.