Our exploratory data analysis tools combine advanced analytics with interactive visualizations to uncover anomalies, clarify distributions, reveal relationships between variables, and highlight meaningful trends and patterns. Some of the applications available on BreedBase are principal component, K-Means and hierarchical clustering, and correlation analysis.

Our machine learning solutions harness historical data to generate reliable predictions and support better decision-making through advanced regression and classification models. A leading example is our genomic prediction pipeline, solGS, which is currently deployed across all BreedBase websites.

For scientists and graduate students looking to strengthen their data science capabilities, we provide foundational training in statistical programming with R and Python.