Taijiao Jiang
Chinese Academy of Medical Sciences, China
Title: Modeling influenza virus antigenic evolution from sequences
Biography
Biography: Taijiao Jiang
Abstract
The advancement of high throughput sequencing technology coupled with internet technology has enabled us to acquire massive genomic data for in-depth understanding of disease mechanisms, facilitating more effective strategies for disease prevention and treatment. In our lab, by focusing influenza viruses, we have developed a series of methods to model influenza antigenic evolution from the massive gene data collected during influenza surveillance carried out by Chinese Center for Disease Control and Prevention (China CDC). Furthermore, we have proposed network-based approaches for effective seasonal influenza vaccine strain selection. No doubt, the effective mining of the big genomic data related to diseases will not only greatly facilitate the prevention and control of infectious diseases but also advance the precision medicine for complex diseases like malignant tumors.