Data analysis in the context of genetic mutations involves examining large datasets to identify and understand variations in the DNA sequence. This process helps in recognizing patterns, associations, and anomalies that could be linked to various diseases or traits. The ultimate goal is to translate these findings into meaningful biological insights, which can be used for diagnostics, therapeutics, and personalized medicine.
