It′s always a scientific question to identify genomic mutations in cancer cells using next generation sequencing data. This study used the high-throughput data from a cancer patient to estimate several tools that identify somatic mutations. By comparing their methods and the validation rates, we found both their advantages and short comings. Finally, we provide some advice to allow user to choose the suitable tool.