学术报告报告主题: Statistical and Computational Approaches for Investigating Virus-host Interactions Using Metagenomic Hi-C data
报 告 人: 孙丰珠 教授
报告时间：2025年 7月12日（星期六）上午9:00-11:00
报告地点：五山校区18号楼220室
邀 请 人: 夏立 教授、刘雪梅 副教授
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数学学院
2025年7月11日
报告摘要：
Viruses play important roles in controlling bacterial population size, altering host metabolism, and have broader impacts on the functions of microbial communities, such as human gut, soil, and ocean microbiomes. Metagenomic Hi-C experiments use Hi-C sequencing technologies to link different sequence fragments in microbial communities and have great potential for reconstructing metagenome assembled genomes (MAG) and mobile-genetic-element (MGE) host interactions. We develop several statistical and computational methods for data normalization, MAG reconstruction and linking MGEs with their hosts. Applications of these tools to metagenomic Hi-C data yield insights into microbial diversity and MGE-host interactions in various microbial environments.
报告人介绍：
Dr. Fengzhu Sun is professor of Quantitative and Computational Biology at the University of Southern California (USC). He is an elected fellow of the American Association for the Advancement of Sciences (AAAS), American Statistical Association (ASA), Institute of Mathematical Statistics (IMS) and International Society for Computational Biology (ISCB). He received the USC Provost's Mellon Mentoring award in 2012 and USC Dornsife College Senior Raubenheimer award for excellence in research, teaching and service in 2017. He has published over 200 papers and developed several widely used algorithms in computational biology. He has been cited over 16000 times according to google scholar.