Normalization is crucial for accurate variant calling. Without normalization, differences in read depth can lead to false positives or missed variants. For instance, low read depth may fail to detect a mutation, while high read depth may introduce noise. Effective normalization ensures that variant calling algorithms can accurately identify true genetic alterations, which is critical for understanding cancer biology and developing targeted therapies.
