Evidence map›Paper›PMID 25762776›Full record

ArticleJournal of clinical microbiology2015

Salmonella serotype determination utilizing high-throughput genome sequencing data.

Shaokang Zhang, Yanlong Yin, Marcus B Jones, Zhenzhen Zhang, Brooke L Deatherage Kaiser, Blake A Dinsmore, Collette Fitzgerald, Patricia I Fields, Xiangyu Deng

Open access · bronzeAbstract readEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 254 papers.

0numbers the graph read from it
0cells of the map it votes in
254citing papers in PubMed
44.4field-weighted citation impact, top 1% 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

254 citing papers in PubMed, 419 citations in OpenAlex.

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  18. Multi-cluster outbreak ofEpidemiology and infection · 2025
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194 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

9 authors at 6 institutions in 1 country.

Shaokang ZhangCenter for Food Safety, Department of Food Science and Technology, University of Georgia, Griffin, Georgia, USA.
Yanlong YinDepartment of Computer Science, Illinois Institute of Technology, Chicago, Illinois, USA.
Marcus B JonesDepartment of Infectious Diseases, J. Craig Venter Institute, Rockville, Maryland, USA.
Zhenzhen ZhangDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA.
Brooke L Deatherage KaiserBiological Sciences Division, Pacific Northwest National Laboratory, Richard, Washington, USA.
Blake A DinsmoreDivision of Foodborne, Waterborne and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Collette FitzgeraldDivision of Foodborne, Waterborne and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Patricia I FieldsDivision of Foodborne, Waterborne and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Xiangyu DengCenter for Food Safety, Department of Food Science and Technology, University of Georgia, Griffin, Georgia, USA xdeng@uga.edu.
Centers for Disease Control and Prevention · USUniversity of Georgia · USIllinois Institute of Technology · USJ. Craig Venter Institute · USPacific Northwest National Laboratory · USUniversity of Michigan–Ann Arbor · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Serotyping forms the basis of national and international surveillance networks for Salmonella, one of the most prevalent foodborne pathogens worldwide (1-3). Public health microbiology is currently being transformed by whole-genome sequencing (WGS), which opens the door to serotype determination using WGS data. SeqSero (www.denglab.info/SeqSero) is a novel Web-based tool for determining Salmonella serotypes using high-throughput genome sequencing data. SeqSero is based on curated databases of Salmonella serotype determinants (rfb gene cluster, fliC and fljB alleles) and is predicted to determine serotype rapidly and accurately for nearly the full spectrum of Salmonella serotypes (more than 2,300 serotypes), from both raw sequencing reads and genome assemblies. The performance of SeqSero was evaluated by testing (i) raw reads from genomes of 308 Salmonella isolates of known serotype; (ii) raw reads from genomes of 3,306 Salmonella isolates sequenced and made publicly available by GenomeTrakr, a U.S. national monitoring network operated by the Food and Drug Administration; and (iii) 354 other publicly available draft or complete Salmonella genomes. We also demonstrated Salmonella serotype determination from raw sequencing reads of fecal metagenomes from mice orally infected with this pathogen. SeqSero can help to maintain the well-established utility of Salmonella serotyping when integrated into a platform of WGS-based pathogen subtyping and characterization.

Indexed as

AnimalsBacteriological TechniquesComputational BiologyDisease Models, AnimalFecesFemaleHigh-Throughput Nucleotide SequencingHumansSalmonellaSalmonella Infections, AnimalSerotyping

Identifiers

PMID25762776
PMCPMC4400759
OpenAlexW2164868452

What OpenQuestion holds

Textmetadata
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.