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

现代DNA测序技术以前所未有的速度生成数据，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，或者检测疟原虫基因组中的表观遗传标记，但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。该奖学金将支持这些新方法的开发，并将有助于人类疾病的基本发现。

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.