Nadejda Lupolova

Edinburgh, SCT EH259RG, United Kingdom

Last Updated: 09/26/2026

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Found 11 publications

Analysis of Escherichia coli O157 strains in cattle and humans between Scotland and England & Wales: implications for human health.

Analysis of Escherichia coli O157 strains in cattle and humans between Scotland and England & Wales: implications for human health.

Journal: Microbial genomics

Published: September 06, 2023

Prevalence of Shiga Toxin-Producing Escherichia coli O157 in Wild Scottish Deer with High Human Pathogenic Potential.

Prevalence of Shiga Toxin-Producing Escherichia coli O157 in Wild Scottish Deer with High Human Pathogenic Potential.

Journal: Animals : an open access journal from MDPI

Published: July 04, 2023

Genome structural variation in Escherichia coli O157:H7.

Genome structural variation in Escherichia coli O157:H7.

Journal: Microbial genomics

Published: November 09, 2021

Predicting Host Association for Shiga Toxin-Producing E. coli Serogroups by Machine Learning.

Predicting Host Association for Shiga Toxin-Producing E. coli Serogroups by Machine Learning.

Journal: Methods in molecular biology (Clifton, N.J.)

Published: March 11, 2021

A guide to machine learning for bacterial host attribution using genome sequence data.

A guide to machine learning for bacterial host attribution using genome sequence data.

Journal: Microbial genomics

Published: November 29, 2019

Whole Genome Sequence Analysis Reveals Lower Diversity and Frequency of Acquired Antimicrobial Resistance (AMR) Genes in E. coli From Dairy Herds Compared With Human Isolates From the Same Region of Central Zambia.

Whole Genome Sequence Analysis Reveals Lower Diversity and Frequency of Acquired Antimicrobial Resistance (AMR) Genes in E. coli From Dairy Herds Compared With Human Isolates From the Same Region of Central Zambia.

Journal: Frontiers in microbiology

Published: January 14, 2019

Erratum: Patchy promiscuity: machine learning applied to predict the host specificity of Salmonella enterica and Escherichia coli.

Erratum: Patchy promiscuity: machine learning applied to predict the host specificity of Salmonella enterica and Escherichia coli.

Journal: Microbial genomics

Published: June 07, 2018

Convergence of plasmid architectures drives emergence of multi-drug resistance in a clonally diverse Escherichia coli population from a veterinary clinical care setting.

Convergence of plasmid architectures drives emergence of multi-drug resistance in a clonally diverse Escherichia coli population from a veterinary clinical care setting.

Journal: Veterinary microbiology

Published: May 26, 2017

Patchy promiscuity: machine learning applied to predict the host specificity of Salmonella enterica and Escherichia coli.

Patchy promiscuity: machine learning applied to predict the host specificity of Salmonella enterica and Escherichia coli.

Journal: Microbial genomics

Published: May 21, 2017

Support vector machine applied to predict the zoonotic potential of E. coli O157 cattle isolates.

Support vector machine applied to predict the zoonotic potential of E. coli O157 cattle isolates.

Journal: Proceedings of the National Academy of Sciences of the United States of America

Published: September 21, 2016

Phylogenomic approaches to determine the zoonotic potential of Shiga toxin-producing Escherichia coli (STEC) isolated from Zambian dairy cattle.

Phylogenomic approaches to determine the zoonotic potential of Shiga toxin-producing Escherichia coli (STEC) isolated from Zambian dairy cattle.

Journal: Scientific reports

Published: January 20, 2016

Showing 1-11 of 11

Last Updated: 09/26/2026