Computational approaches to making sense of cancer -omics data

进化是癌症的一个标志。它是肿瘤发生、转移、疾病进展、耐药性出现和患者死亡的基础。我的研究将发展基本的生物信息学方法和计算模型，利用组学数据来理解癌症的进化，并应用这些来发现导致复杂基因组重排的分子机制；研究晚期黑色素瘤的演变；并将我们的工具和发现转化为临床环境。

Evolution is a hallmark of cancer. It underlies tumorigenesis, metastasis, disease progression, the emergence of drug resistance, and patient death. My research will develop the essential bioinformatics methods and computational models to understand cancer evolution using -omics data, and apply these to discover the molecular mechanisms that cause complex genome rearrangements; investigate the evolution of advanced melanoma; and translate our tools and discoveries into the clinical setting.