Computational methods for the analysis of next generation sequence data in human disease

人类疾病下一代序列数据分析的计算方法

• 批准号: nhmrc : 1003856
• 负责人: Prof Anthony Papenfuss
• 金额: $ 26.76万
• 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: Career Development Fellowships
• 财政年份: 2011
• 资助国家: 澳大利亚
• 起止时间: 2011-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://researchdata.edu.au/computational-methods-analysis-human-disease/108973
• 关键词: Computational; methods; analysis; next; generation

Modern DNA sequencing technologies generate data at an unprecedented rate, providing the opportunity to develop deep insights into human disease. We can now sequence a tumour genome in a matter of weeks, or assay epigenetic marks in the malaria parasite genome, but these data raise new analysis challenges requiring new statistical and computational methods to solve. This fellowship will support the development of such new methods and will contribute to basic discoveries in human disease.

现代DNA测序技术以前所未有的速度产生数据，为深入了解人类疾病提供了机会。我们现在可以在几周内对肿瘤基因组进行测序，或者对疟疾寄生虫基因组中的表观遗传标记进行分析，但是这些数据提出了新的分析挑战，需要新的统计和计算方法来解决。该研究金将支持这些新方法的发展，并将有助于人类疾病的基本发现。