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

Nadejda Lupolova, Tim Dallman, Nicola Holden, +1

Microbial Genomics

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

Nadejda Lupolova, Timothy J. Dallman, Louise Matthews, +2

Proceedings of the National Academy of Sciences

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

Nadejda Lupolova, Samantha Lycett, David L. Gally

Microbial Genomics

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

Sam Wagner, Nadejda Lupolova, David L. Gally, +1

Veterinary Microbiology

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

Geoffrey Mainda, Nadejda Lupolova, Linda Sikakwa, +8

Frontiers in Microbiology

Genome structural variation in Escherichia coli O157:H7

Stephen Fitzgerald, Nadejda Lupolova, Sharif Shaaban, +9

Microbial Genomics

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

Geoffrey Mainda, Nadejda Lupolova, Linda Sikakwa, +16

Scientific Reports