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
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.
AMR prediction pipeline for Acinetobacter baumannii using whole-genome sequencing and machine learning (Random Forest, Logistic Regression) with SHAP-based gene importance analysis.
Graph-based pangenomic and synteny analysis of Helicobacter pylori (n=41 complete RefSeq genomes) using PPanGGOLiN, with reproducible workflows for annotation (Prokka), ANI quality control (FastANI), core-genome phylogeny (MAFFT + IQ-TREE 2), resistome profiling (AMRFinderPlus), and publication-grade visualizations.
Bioinformatic pipeline for prioritizing novel biosynthetic gene clusters (BGCs) from actinobacterial genomes against the MiBIG 4.0 reference space, with resistance-associated feature screening (Pfam domains and AMRFinderPlus).
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