GDAN operates by aggregating data from multiple sources, including sequencing projects, clinical trials, and biobanks. The data is then processed using sophisticated bioinformatics algorithms to identify patterns and correlations. Key steps in the workflow include:
1. Data Collection: Gathering genomic and clinical data from patients. 2. Preprocessing: Cleaning and normalizing the data to ensure consistency. 3. Analysis: Applying statistical and machine learning methods to identify significant genetic features. 4. Interpretation: Translating the results into actionable insights for clinical applications.
