Evidence map›Paper›PMID 34900416›Full record

ArticlePeerJ2021

Evaluating whole-genome sequencing quality metrics for enteric pathogen outbreaks.

Darlene D Wagner, Heather A Carleton, Eija Trees, Lee S Katz

Abstract read
In one paragraph

Article in PeerJ, 2021. 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. Article
  2. Article
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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

4 authors.

Darlene D WagnerDivision of Viral Diseases, Centers for Disease Control and Prevention, Atlanta, GA, United States of America.
Heather A CarletonEnteric Diseases Laboratory Branch, Centers for Disease Control and Prevention, Atlanta, GA, United States of America.
Eija TreesAssociation of Public Health Laboratories, Silver Spring, MD, United States of America.
Lee S KatzEnteric Diseases Laboratory Branch, Centers for Disease Control and Prevention, Atlanta, GA, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhole genome sequencing (WGS) has gained increasing importance in responses to enteric bacterial outbreaks. Common analysis procedures for WGS, single nucleotide polymorphisms (SNPs) and genome assembly, are highly dependent upon WGS data quality.

methodsRaw, unprocessed WGS reads from

resultsAssembly quality showed only moderate correlations with PHRED scores and library insert size, and then only for

conclusionsPHRED scores will continue to be a crucial quality metric albeit not of equal impact across all types of analyses for all enteric bacteria. While trimming-based read healing performed well for SNPs analyses, different read healing approaches are likely needed for genome assembly or other, emerging WGS analysis methodologies.

Indexed as

AssemblyMultihealRead cleaningRead healingSNP

Identifiers

PMID34900416
PMCPMC8627651

What OpenQuestion holds

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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.