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VAMPr: VAriant Mapping and Prediction of antibiotic resistance via explainable features and machine learning

Fig 5

VAMPr provides rich sets of online resources for association models and prediction models.

Users have the flexibility to explore known or novel antibiotic resistance-associated variants, and can upload their own sequence assembly and obtain predictions on antibiotic resistance. (A) association results webpage: users can explore variants, their interpretations, their statistical significance assessments; (B) detailed information, contingency table and odd-ratio for variant K18768 in the association model, and distribution plots; (C) Distribution plots for variant K18768 in the association model page; (D) prediction models allow for uploads of users’ sequence data for antibiotic resistance prediction.

Fig 5

doi: https://doi.org/10.1371/journal.pcbi.1007511.g005