Python script to extract and visualize AMR data from AMRFinderPlus outputs, generating detailed reports and binary heatmaps
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Updated
Oct 23, 2024 - Python
Python script to extract and visualize AMR data from AMRFinderPlus outputs, generating detailed reports and binary heatmaps
AMR prediction pipeline for Acinetobacter baumannii using whole-genome sequencing and machine learning (Random Forest, Logistic Regression) with SHAP-based gene importance analysis.
AI-assisted pipeline for mining candidate Staphylococcus invasome and virulence-associated genes from assembled genome FASTA files.
Characterising the AMR landscape via EDA and predictive modelling, and developing an integrated pipeline that bridges genomic surveillance data to protein targets and ligand candidates for downstream drug discovery.
Computational BiG-SCAPE/MiBIG workflow for biosynthetic gene cluster reference-space analysis and candidate GCF prioritization.
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