High Sensitivity: Detects low-frequency variants in heterogeneous samples, which is common in tumor tissues. False Positive Reduction: Implements various filters and models to reduce false positives, enhancing the reliability of the results. Tumor-Normal Pair Analysis: Can compare tumor samples with matched normal samples to distinguish somatic mutations from germline variants. Adaptability: Compatible with various sequencing platforms and can be integrated with other bioinformatics tools.