Genomic and molecular data analysis for translational research and biomarker discovery.
Analyse genomic, transcriptomic, and molecular datasets. We help research teams organise, process, and interpret high-dimensional biological data.
Bioinformatics infrastructure is still uneven across Africa. We help expand local research capacity and make molecular findings easier to act on.
Define the scientific question and dataset structure
Run quality control, preprocessing, and exploratory analysis
Apply appropriate statistical or machine-learning workflows
Translate findings into clear outputs for collaborators
Risk Analytics
Predict Type II diabetes risk from clinical biomarkers. Enter patient data and get a risk score with clear review bands.
Risk Analytics
Estimate breast cancer recurrence risk from clinical and treatment data. Built for registry analysis and research teams.
Risk Analytics
Predict osteoporosis risk from demographic and clinical data. Designed for prevention planning and research teams.