Ten selected bioinformatics, AI-for-biology, structural biology, NGS, microbiome, and computational drug-discovery case studies.
AI-assisted ADME/Tox screening visuals for molecular safety, toxicity risk, descriptor behavior, and drug-likeness review.
Explainable QSAR visuals showing descriptor importance and SHAP-style model impact.
Gene-expression classifier comparing CNN, Random Forest, SVM, KNN, and logistic regression outputs.
FastQC/cutadapt quality-control evidence for sequencing reads before downstream analysis.
Microbiome diversity and community-composition visualizations including alpha diversity, beta diversity, PCoA, and taxonomic summaries.
Computational missense SNP prioritization and structural interpretation using functional prediction and protein-structure visualization.
Homology model construction and validation using template search, sequence alignment, and structural quality checks.
Docking interaction interpretation using 2D interaction diagrams, 3D binding poses, and docking workflow visuals.
RNA aptamer secondary-structure prediction visuals using centroid, dot-plot, and mountain-plot style outputs.
MOE-based QSAR/correlation analysis to explore descriptor-activity relationships for structure-guided compound evaluation.
Collapsed secondary archive for generic coursework, OpenCV basics, web examples, and foundational AI/ML practice.
Let's collaborate on NGS, microbiome, molecular docking, AI for biology, or computational drug-discovery analysis.