Computational approaches to making sense of cancer -omics data

理解癌症组学数​​据的计算方法

• 批准号: nhmrc : 1116955
• 负责人: Prof Anthony Papenfuss
• 金额: $ 48.17万
• 依托单位: The Walter and Eliza Hall Institute of Medical Research
• 依托单位国家: 澳大利亚
• 项目类别: Research Fellowships
• 财政年份: 2017
• 资助国家: 澳大利亚
• 起止时间: 2017-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://researchdata.edu.au/computational-approaches-making-cancer-omics/946129
• 关键词: Computational; approaches; making; sense; cancer

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.

进化是癌症的标志。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。我的研究将开发基本的生物信息学方法和计算模型，以了解癌症的演变使用组学数据，并应用这些发现导致复杂的基因组重排的分子机制;调查先进的黑色素瘤的演变;并将我们的工具和发现转化为临床环境。