计算生物学在传染病干预中的新应用Novel Applications of Computational Biology in Infectious Disease Interventions |
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课程网址: | http://videolectures.net/nips09_halloran_nacbidi/ |
主讲教师: | Elizabeth Halloran |
开课单位: | 罗林斯公共卫生学院 |
开课时间: | 2010-01-19 |
课程语种: | 英语 |
中文简介: | 传染病的干预越来越依赖于计算生物学和基因组学方法。估计群体中病毒遗传多样性的变化可能是评估群体中疫苗接种策略的新潜在方法。正在开发对病原体免疫的转基因蚊子以取代许多载体传播疾病的天然蚊子载体。高通量方法被用于阐明免疫记忆机制,并有望开发出更好的疫苗。大规模计算机模拟模型对于探索干预措施非常有用,并且可以从网络和图论的输入中受益。在这次演讲中,我们讨论了计算生物学在理解传染病和干预措施方面的一些新应用。 |
课程简介: | Interventions in infectious diseases are increasingly relying on computational biology and genomic methods. Estimating changes in viral genetic diversity in a population could be a new potential method to evaluate vaccination strategies in populations. Transgenic mosquitoes immune to a pathogen are being developed to replace the native mosquito vector of a number of vector-borne diseases. High throughput methods are being used to elucidate mechanisms of immune memory with the promise of developing better vaccines. Large-scale computer simulation models are useful for exploring interventions and could benefit from input from network and graph theory. In this talk, we discuss a few novel applications of computational biology in understanding infectious diseases and interventions. |
关 键 词: | 传染病; 计算生物学; 基因组 |
课程来源: | 视频讲座网 |
最后编审: | 2019-09-06:lxf |
阅读次数: | 37 |