Author

H. C. den Bakker

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Organism:bacteria (other)· 1 Research Focus:clustering· 1 Research Focus:variant calling· 1

Frequent Co-Authors

A. Schlochtermeier· 1 shared C. N. Schamp· 1 shared C. R. Carlin· 1 shared D. W. Bryan· 1 shared G. H. Loneragan· 1 shared G. Levent· 1 shared H. K. Chaggar· 1 shared H. M. Scott· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperMicrobiology

A. Schlochtermeier

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2 papers

Recent·Most cited

MicrobiologybioRxivApr 22, 2022

Phenotypic characterization and analysis of complete genomes of two distinct strains of the proposed species "L. swaminathanii"

L. K. Hudson, H. K. Chaggar, C. N. Schamp…·T. G. Denes

The paper characterizes two new strains of Listeria swaminathanii, comparing their genomes and phenotypes to the type strain, finding high genomic similarity but some phenotypic differences.

DOI 10.1038/s41598-022-13119-y

bacteria (other)whole-genome sequencing

𝕏 PostBluesky

MicrobiologybioRxivOct 26, 2020

High-resolution genomic comparisons within Salmonella enterica serotypes derived from beef feedlot cattle: parsing the roles of cattle source, pen, animal, sample type and production period

G. Levent, A. Schlochtermeier, S. E. Ives…·H. M. Scott

This study uses genomic analysis to examine Salmonella subpopulation dynamics in cattle, finding that clonal expansion is mainly influenced by pen and cattle origin, not sampling time or type.

DOI 10.1128/aem.00485-21

whole-genome sequencingstatistical model

𝕏 PostBluesky