Quantifying the survival of multiple Salmonella enterica serovars in vivo using massively-parallel whole genome sequencing to predict zoonotic risk

P. Vohra; Marie Bugarel; F. Turner; Guy Loneragan; J.C. Hope; J. Hopkins; M.P. Stevens

Quantifying the survival of multiple Salmonella enterica serovars in vivo using massively-parallel whole genome sequencing to predict zoonotic risk

P. Vohra, Marie Bugarel, F. Turner, Guy Loneragan, J.C. Hope, J. Hopkins, M.P. Stevens

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	AEM.02262-17
Journal	Appl Environ Microbiol.
State	Published - 2017

Cite this

@article{f027b36822c14d0aa874bb335938ecb1,

title = "Quantifying the survival of multiple Salmonella enterica serovars in vivo using massively-parallel whole genome sequencing to predict zoonotic risk",

author = "P. Vohra and Marie Bugarel and F. Turner and Guy Loneragan and J.C. Hope and J. Hopkins and M.P. Stevens",

year = "2017",

language = "English",

pages = "AEM.02262--17",

journal = "Appl Environ Microbiol.",

}

TY - JOUR

T1 - Quantifying the survival of multiple Salmonella enterica serovars in vivo using massively-parallel whole genome sequencing to predict zoonotic risk

AU - Vohra, P.

AU - Bugarel, Marie

AU - Turner, F.

AU - Loneragan, Guy

AU - Hope, J.C.

AU - Hopkins, J.

AU - Stevens, M.P.

PY - 2017

Y1 - 2017

M3 - Article

SP - AEM.02262-17

JO - Appl Environ Microbiol.

JF - Appl Environ Microbiol.

ER -

Quantifying the survival of multiple Salmonella enterica serovars in vivo using massively-parallel whole genome sequencing to predict zoonotic risk

Fingerprint

Cite this