Data Collection: Gathering data from various sources such as genomic sequencing, clinical trials, and patient records. Data Processing: Cleaning and organizing the data to make it suitable for analysis. Analysis: Using algorithms and machine learning techniques to identify patterns and correlations. Interpretation: Translating the results into meaningful biological insights.
