Strelka employs a sophisticated algorithm to analyze sequencing data. It compares the DNA sequences of tumor samples with matched normal samples to identify somatic variants. The tool uses a statistical model to differentiate between true mutations and sequencing errors, ensuring high precision in variant calling. This makes it particularly useful for detecting low-frequency mutations that might be missed by other tools.