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Nadejda Lupolova

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Methods in Molecular Biology (Clifton, N.J.)|March 11, 2021
Predicting Host Association for Shiga Toxin-Producing E. coli Serogroups by Machine LearningNadejda Lupolova, Antonia Chalka, David L Gally
Microbial Genomics|November 29, 2019
A guide to machine learning for bacterial host attribution using genome sequence dataNadejda Lupolova, Samantha J Lycett, David L Gally
Veterinary Microbiology|November 6, 2017
Convergence of plasmid architectures drives emergence of multi-drug resistance in a clonally diverse Escherichia coli population from a veterinary clinical care settingSam Wagner, Nadejda Lupolova, David L Gally, et al.
Microbial Genomics|November 28, 2017
Patchy promiscuity: machine learning applied to predict the host specificity of <i>Salmonella enterica</i> and <i>Escherichia coli</i>Nadejda Lupolova, Tim J Dallman, Nicola J Holden, et al.
Microbial Genomics|June 7, 2018
Erratum: Patchy promiscuity: machine learning applied to predict the host specificity of Salmonella enterica and Escherichia coliNadejda Lupolova, Tim J Dallman, Nicola J Holden, et al.
Proceedings of the National Academy of Sciences of the United States of America|September 21, 2016
Support vector machine applied to predict the zoonotic potential of E. coli O157 cattle isolatesNadejda Lupolova, Timothy J Dallman, Louise Matthews, et al.
Animals : an Open Access Journal From MDPI|September 9, 2023
Prevalence of Shiga Toxin-Producing <i>Escherichia coli</i> O157 in Wild Scottish Deer with High Human Pathogenic PotentialStephen F Fitzgerald, Mairi C Mitchell, Anne Holmes, et al.
Frontiers in Microbiology|June 20, 2019
Whole Genome Sequence Analysis Reveals Lower Diversity and Frequency of Acquired Antimicrobial Resistance (AMR) Genes in <i>E. coli</i> From Dairy Herds Compared With Human Isolates From the Same Region of Central ZambiaGeoffrey Mainda, Nadejda Lupolova, Linda Sikakwa, et al.
Microbial Genomics|November 9, 2021
Genome structural variation in <i>Escherichia coli</i> O157:H7Stephen F Fitzgerald, Nadejda Lupolova, Sharif Shaaban, et al.
Microbial Genomics|September 6, 2023
Analysis of <i>Escherichia coli</i> O157 strains in cattle and humans between Scotland and England & Wales: implications for human healthMargo Chase-Topping, Timothy J Dallman, Lesley Allison, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

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Pageof 2
Methods in Molecular Biology (Clifton, N.J.)|March 11, 2021
Predicting Host Association for Shiga Toxin-Producing E. coli Serogroups by Machine LearningNadejda Lupolova, Antonia Chalka, David L Gally
Microbial Genomics|November 29, 2019
A guide to machine learning for bacterial host attribution using genome sequence dataNadejda Lupolova, Samantha J Lycett, David L Gally
Veterinary Microbiology|November 6, 2017
Convergence of plasmid architectures drives emergence of multi-drug resistance in a clonally diverse Escherichia coli population from a veterinary clinical care settingSam Wagner, Nadejda Lupolova, David L Gally, et al.
Microbial Genomics|November 28, 2017
Patchy promiscuity: machine learning applied to predict the host specificity of <i>Salmonella enterica</i> and <i>Escherichia coli</i>Nadejda Lupolova, Tim J Dallman, Nicola J Holden, et al.
Microbial Genomics|June 7, 2018
Erratum: Patchy promiscuity: machine learning applied to predict the host specificity of Salmonella enterica and Escherichia coliNadejda Lupolova, Tim J Dallman, Nicola J Holden, et al.
Proceedings of the National Academy of Sciences of the United States of America|September 21, 2016
Support vector machine applied to predict the zoonotic potential of E. coli O157 cattle isolatesNadejda Lupolova, Timothy J Dallman, Louise Matthews, et al.
Animals : an Open Access Journal From MDPI|September 9, 2023
Prevalence of Shiga Toxin-Producing <i>Escherichia coli</i> O157 in Wild Scottish Deer with High Human Pathogenic PotentialStephen F Fitzgerald, Mairi C Mitchell, Anne Holmes, et al.
Frontiers in Microbiology|June 20, 2019
Whole Genome Sequence Analysis Reveals Lower Diversity and Frequency of Acquired Antimicrobial Resistance (AMR) Genes in <i>E. coli</i> From Dairy Herds Compared With Human Isolates From the Same Region of Central ZambiaGeoffrey Mainda, Nadejda Lupolova, Linda Sikakwa, et al.
Microbial Genomics|November 9, 2021
Genome structural variation in <i>Escherichia coli</i> O157:H7Stephen F Fitzgerald, Nadejda Lupolova, Sharif Shaaban, et al.
Microbial Genomics|September 6, 2023
Analysis of <i>Escherichia coli</i> O157 strains in cattle and humans between Scotland and England & Wales: implications for human healthMargo Chase-Topping, Timothy J Dallman, Lesley Allison, et al.
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