Fig. 1.

Workflow of the proposed machine learning approach to identify SNPs from WGS data. The prediction of AMR resistance profiles based on these identified SNPs is also part of the workflow. Although prediction is not the main purpose of this study, it is a natural next step after feature selection. In the figure, rectangles represent methodological steps, while parallelograms without right angles represent data or information. From the SNPs, resistance genes and other genetic elements can then be identified