Evidence map›Paper›PMID 25437808›Full record

ReviewPathogens (Basel, Switzerland)2014

WGS Analysis and Interpretation in Clinical and Public Health Microbiology Laboratories: What Are the Requirements and How Do Existing Tools Compare?

Kelly L Wyres, Thomas C Conway, Saurabh Garg, Carlos Queiroz, Matthias Reumann, Kathryn Holt, Laura I Rusu

Abstract readReview
In one paragraph

Review in Pathogens (Basel, Switzerland), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Review
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  6. Journal of clinical microbiology · 2020
    Article
  7. A classification framework forEvolutionary applications · 2020
    Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. A Primer on Infectious Disease Bacterial Genomics.Clinical microbiology reviews · 2016
    Review
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

7 authors.

Kelly L WyresIBM Research-Australia, Level 5, 204 Lygon Street, Carlton, Victoria 3206, Australia. kelwyres@au1.ibm.com.
Thomas C ConwayIBM Research-Australia, Level 5, 204 Lygon Street, Carlton, Victoria 3206, Australia. tconway@au1.ibm.com.
Saurabh GargIBM Research-Australia, Level 5, 204 Lygon Street, Carlton, Victoria 3206, Australia. saurabh.kr.garg@gmail.com.
Carlos QueirozIBM Research-Australia, Level 5, 204 Lygon Street, Carlton, Victoria 3206, Australia. caxqueiroz@gmail.com.
Matthias ReumannIBM Research-Zuerich, Säumerstrasse 4, Rüschlikon 8803, Switzerland. MRE@zurich.ibm.com.
Kathryn HoltBio21 Institute, University of Melbourne, 30 Flemington Road, Melbourne, Parkville, VIC 3052, Australia. kholt@unimelb.edu.au.
Laura I RusuIBM Research-Australia, Level 5, 204 Lygon Street, Carlton, Victoria 3206, Australia. laurusu@au1.ibm.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advances in DNA sequencing technologies have the potential to transform the field of clinical and public health microbiology, and in the last few years numerous case studies have demonstrated successful applications in this context. Among other considerations, a lack of user-friendly data analysis and interpretation tools has been frequently cited as a major barrier to routine use of these techniques. Here we consider the requirements of microbiology laboratories for the analysis, clinical interpretation and management of bacterial whole-genome sequence (WGS) data. Then we discuss relevant, existing WGS analysis tools. We highlight many essential and useful features that are represented among existing tools, but find that no single tool fulfils all of the necessary requirements. We conclude that to fully realise the potential of WGS analyses for clinical and public health microbiology laboratories of all scales, we will need to develop tools specifically with the needs of these laboratories in mind.

Identifiers

PMID25437808
PMCPMC4243455

What OpenQuestion holds

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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.