Interpreting gene sequencing data involves several steps:
Data Processing: Raw sequencing data is processed to identify genetic variants and mutations. Bioinformatics Analysis: Advanced computational tools are used to analyze and interpret the sequencing data. Clinical Correlation: Genomic data is correlated with clinical information to identify actionable mutations and inform treatment decisions.
