使用第二代测序数据来发现癌细胞中的基因组突变,一直是很重要的科学应用问题。此研究使用一个癌症病人的大量数据,评估了甄别基因组突变的几个现有工具。经过比较各工具的方法和正确率,本文发现各自都有自己的优点和缺点。针对这些优缺点,本文提供一些建议,让工具使用者能更好地选择合适的工具。%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.
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