| Support vector machine applied to predict the zoonotic potential of E. coli O157 cattle isolates N Lupolova, TJ Dallman, L Matthews, JL Bono, DL Gally Proceedings of the National Academy of Sciences 113 (40), 11312-11317, 2016 | 71 | 2016 |
| Patchy promiscuity: machine learning applied to predict the host specificity of Salmonella enterica and Escherichia coli N Lupolova, TJ Dallman, NJ Holden, DL Gally Microbial genomics 3 (10), e000135, 2017 | 69 | 2017 |
| A guide to machine learning for bacterial host attribution using genome sequence data N Lupolova, SJ Lycett, DL Gally Microbial Genomics 5 (12), e000317, 2019 | 42 | 2019 |
| Convergence of plasmid architectures drives emergence of multi-drug resistance in a clonally diverse Escherichia coli population from a veterinary clinical care setting S Wagner, N Lupolova, DL Gally, SA Argyle Veterinary microbiology 211, 6-14, 2017 | 19 | 2017 |
| Genome structural variation in Escherichia coli O157:H7 SF Fitzgerald, N Lupolova, S Shaaban, TJ Dallman, D Greig, L Allison, ... Microbial genomics 7 (11), 000682, 2021 | 13 | 2021 |
| Phylogenomic approaches to determine the zoonotic potential of Shiga toxin-producing Escherichia coli (STEC) isolated from Zambian dairy cattle G Mainda, N Lupolova, L Sikakwa, PR Bessell, JB Muma, DV Hoyle, ... Scientific reports 6 (1), 26589, 2016 | 11 | 2016 |
| Whole Genome Sequence Analysis Reveals Lower Diversity and Frequency of Acquired Antimicrobial Resistance (AMR) Genes in E. coli From Dairy Herds … G Mainda, N Lupolova, L Sikakwa, E Richardson, PR Bessell, SK Malama, ... Frontiers in microbiology 10, 1114, 2019 | 7 | 2019 |
| Prevalence of Shiga Toxin-Producing Escherichia coli O157 in Wild Scottish Deer with High Human Pathogenic Potential SF Fitzgerald, MC Mitchell, A Holmes, L Allison, M Chase-Topping, ... Animals 13 (17), 2795, 2023 | 3 | 2023 |
| Analysis of Escherichia coli O157 strains in cattle and humans between Scotland and England & Wales: implications for human health M Chase-Topping, TJ Dallman, L Allison, N Lupolova, L Matthews, ... Microbial genomics 9 (9), 001090, 2023 | 2 | 2023 |
| Predicting Host Association for Shiga Toxin-Producing E. coli Serogroups by Machine Learning N Lupolova, A Chalka, DL Gally Shiga Toxin-Producing E. coli: Methods and Protocols, 99-117, 2021 | 2 | 2021 |
| Prophage-dependent recombination drives genome structural variation and phenotypic heterogeneity in Escherichia coli O157:H7 SF Fitzgerald, N Lupolova, S Shaaban, TJ Dallman, D Greig, L Allison, ... bioRxiv, 2020.12. 02.407981, 2020 | 2 | 2020 |
| Erratum: Patchy promiscuity: machine learning applied to predict the host specificity of Salmonella enterica and Escherichia coli N Lupolova, TJ Dallman, NJ Holden, DL Gally Microbial Genomics 4 (6), 2018 | 1 | 2018 |
| Bacterial host attribution and bioinformatic characterisation of enteric bacteria Salmonella enterica and Escherichia coli from different hosts and environments N Lupolova The University of Edinburgh, 2019 | | 2019 |
| Molecular characterisation and phylogenetics of Shiga toxin producing Escherichia coli (STEC) isolated from Zambian dairy cattle. G Mainda, N Lupolova, J Muma, M Bronsvoort, M Stevens, D Gally Infectious Disease Genomics, 2015 | | 2015 |
