Gerada, Alessandro 
ORCID: https://orcid.org/0000-0002-6743-4271, Harper, Nicholas and Hope, William
(2025)
Whole genome sequencing data for 762 clinical Escherichia coli strains with antimicrobial susceptibility meta data.
[Data Collection]
Description
This is a dataset of whole genome sequencing data (WGS) for 762 Escherichia coli isolates with associate antimicrobial susceptibility testing (AST) meta-data. The dataset was generated from clinical strains retrieved from Liverpool Clinical Laboratories, UK (Liverpool University Hospitals NHS Trust). Isolates were originally isolated between 2017–2021. The dataset was produced to train machine learning models to predict antimicrobial minimum inhibitory concentration from WGS data. The isolates were chosen based on their AST phenotype, to generate a representative sample of important resistance mechanisms. In other words, this is not a representative random sample of E. coli AST phenotypes — rare phenotypes were over-sampled; common phenotypes were under-sampled.
| Keywords: | antimicrobial resistance, antimicrobial susceptibility testing, artificial intelligence, machine learning, minimum inhibitory concentration, whole genome sequencing |
|---|---|
| Divisions: | Faculty of Health and Life Sciences Faculty of Health and Life Sciences > Institute of Systems, Molecular and Integrative Biology Faculty of Health and Life Sciences > Institute of Systems, Molecular and Integrative Biology > Pharmacology and Therapeutics |
| SWORD Depositor: | Data Catalogue Admin |
| Depositing User: | Data Catalogue Admin |
| Date Deposited: | 11 Apr 2025 14:05 |
| Last Modified: | 11 Apr 2025 14:06 |
| DOI: | 10.17638/datacat.liverpool.ac.uk/3008 |
| Geography: | Liverpool, UK |
| URI: | https://datacat.liverpool.ac.uk/id/eprint/3008 |
Available Files
Data
Creative Commons: Attribution 4.0 |
Creative Commons: Attribution 4.0 |
Creative Commons: Attribution 4.0 |
Creative Commons: Attribution 4.0 |
