Evidence map›Paper›PMID 25422674›Full record

ArticleGenome medicine2014

SRST2: Rapid genomic surveillance for public health and hospital microbiology labs.

Michael Inouye, Harriet Dashnow, Lesley-Ann Raven, Mark B Schultz, Bernard J Pope, Takehiro Tomita, Justin Zobel, Kathryn E Holt

Abstract read
In one paragraph

Article in Genome medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 686 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
686citing papers in PubMed, 1 pooled it
–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

686 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  13. Genomic characterization of invasiveMicrobial genomics · 2026
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  14. Prevalence and activity of class II microcins inApplied and environmental microbiology · 2026
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  15. Genetic and Phenotypic Characteristics of FiveAnimals : an open access journal from MDPI · 2026
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  16. Dominance of the ST20Microorganisms · 2026
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  19. Closely RelatedVeterinary sciences · 2026
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626 more citing papers are in PubMed but not listed here.

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

8 authors.

Michael InouyeMedical Systems Biology, Department of Pathology, The University of Melbourne, Parkville, Victoria Australia ; Department of Microbiology and Immunology, The University of Melbourne, Parkville, Victoria Australia.
Harriet DashnowDepartment of Biochemistry and Molecular Biology, Bio21 Molecular Science and Biotechnology Institute, University of Melbourne, Parkville, Victoria 3010 Australia ; Victorian Life Sciences Computation Initiative, The University of Melbourne, 187 Grattan Street Carlton, Melbourne, Victoria Australia.
Lesley-Ann RavenMedical Systems Biology, Department of Pathology, The University of Melbourne, Parkville, Victoria Australia.
Mark B SchultzDepartment of Biochemistry and Molecular Biology, Bio21 Molecular Science and Biotechnology Institute, University of Melbourne, Parkville, Victoria 3010 Australia.
Bernard J PopeVictorian Life Sciences Computation Initiative, The University of Melbourne, 187 Grattan Street Carlton, Melbourne, Victoria Australia ; Department of Computing and Information Systems, The University of Melbourne, Parkville, Victoria Australia.
Takehiro TomitaDepartment of Microbiology and Immunology, The University of Melbourne, Parkville, Victoria Australia ; Microbiological Diagnostic Unit, The University of Melbourne, Parkville, Victoria Australia.
Justin ZobelDepartment of Computing and Information Systems, The University of Melbourne, Parkville, Victoria Australia.
Kathryn E HoltDepartment of Biochemistry and Molecular Biology, Bio21 Molecular Science and Biotechnology Institute, University of Melbourne, Parkville, Victoria 3010 Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid molecular typing of bacterial pathogens is critical for public health epidemiology, surveillance and infection control, yet routine use of whole genome sequencing (WGS) for these purposes poses significant challenges. Here we present SRST2, a read mapping-based tool for fast and accurate detection of genes, alleles and multi-locus sequence types (MLST) from WGS data. Using >900 genomes from common pathogens, we show SRST2 is highly accurate and outperforms assembly-based methods in terms of both gene detection and allele assignment. We include validation of SRST2 within a public health laboratory, and demonstrate its use for microbial genome surveillance in the hospital setting. In the face of rising threats of antimicrobial resistance and emerging virulence among bacterial pathogens, SRST2 represents a powerful tool for rapidly extracting clinically useful information from raw WGS data. Source code is available from http://katholt.github.io/srst2/.

Identifiers

PMID25422674
PMCPMC4237778

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.