Showcasing our expertise through demo projects, anonymized outputs, and publicly available examples across bioinformatics, AI, analytics, and training. All examples use public datasets or demo projects.
Demonstration docking workflow using publicly available protein structures (PDB ID: 1M17) and ligand libraries. Includes binding affinity prediction, pose analysis, and 2D/3D visualization for drug discovery applications.
Anonymized MD simulation of a representative protein-ligand complex (100 ns trajectory). Analysis includes RMSD, RMSF, radius of gyration, hydrogen bond occupancy, and energy calculations using public tutorial datasets.
Structure-based virtual screening on a target protein (publicly available from ZINC database). Demonstrates hit identification, binding affinity ranking, ADMET prediction, and lead optimization strategy.
Publicly available dataset (CIFAR-10) used for training a convolutional neural network achieving 92% validation accuracy. Complete pipeline includes preprocessing, augmentation, model architecture, training, and evaluation.
Publicly available clinical dataset (UCI repository) used to predict patient outcomes. Feature importance analysis, hyperparameter tuning, and performance metrics including AUC-ROC, F1-score, and confusion matrices.
Demo RNA-seq differential expression analysis using public dataset (GEO). Includes quality control, read alignment, count normalization, DEG identification, volcano plots, and pathway enrichment analysis.
Public survey data (World Bank open data) analyzed using multiple linear regression, logistic regression, and correlation matrices. Complete statistical report including assumptions testing and interpretation.
Anonymized interview transcripts analyzed using NVivo. Demonstrates thematic coding framework development, node hierarchy, inter-coder reliability, and visualizations including word clouds and concept maps.
Interactive dashboards using public economic/financial datasets (IMF, World Bank, Kaggle). Includes KPI tracking, trend forecasting, geographical mapping, and executive summary reports.
Customized bar charts, line graphs, scatter plots, and box plots formatted for research manuscripts and journals.
3D molecular renderings with PyMOL, Chimera, and Discovery Studio for structural biology publications.
High-resolution heatmaps for omics data, gene expression, and survey correlation analysis.
Confusion matrices, ROC curves, learning curves, and SHAP summary plots for ML model interpretation.
Comprehensive live online training covering sequence analysis, molecular docking, and MD simulation. Includes session recordings, hands-on assignments, and participant feedback highlights.
Intensive 4-week program for researchers. Participant projects included real-world survey analysis, regression modeling, and qualitative coding using industry-standard software.
University partnership training program: 30+ graduate students trained in machine learning and deep learning applications for biomedical research and data analysis.
All examples use demo projects, publicly available datasets, or anonymized outputs. No confidential client data is shared. Publications listed are representative examples of our team's research capabilities.
