Bioinformatics
120 hours
KAUST Academy
Advanced Bioinformatics Training Program
What I learned
Training in biological concepts and practical data analysis with Python, pandas and R.
Practical work
August 2024–March 2025 · In person. Practical exercises used public biological data from Saudi and international sources, including genomic and DNA-related datasets.
Biology through data
Genome and DNA-related datasets connected biological questions to computational comparison and exploration.
Python, pandas, and R
Python and pandas supported preparing tabular data and comparing patterns. R was also used for analysis, and correlation analysis helped examine relationships between measurements.
Interpreting results
The emphasis was interpreting results in their biological context, supported by data comparisons and correlation analysis.