Report title: Applying Genomic and morphological data to resolve the "Tree of Life" controversy
Speaker: Professor Wu Shaoyuan
Report time: 9:00-10:30am, August 1
Venue: conference room on the 3rd floor, Paleontology Center, Chaoyang Campus, Jilin University
Network platform: Pin Group number 35204566,
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Contact: firstname.lastname@example.org, 13504707690
Speaker: Wu Shaoyuan, director of Jiangsu Key Laboratory of Phylogenetic and Comparative Genomics, Professor of School of Life Sciences, Jiangsu Normal University, professor of Basic Medical School, Tianjin Medical University. He received his doctorate from Harvard University in 2011. So far, he has published more than 20 papers in international authoritative academic journals such as PNAS, Nature and Evolution, with a total of 1153 citations and a maximum of 374 citations for a single paper (according to Google academic search).He has successively presided over many scientific research projects such as the National Natural Science Foundation of China and the Major natural science research projects of Institutions of higher learning in Jiangsu Province, and is the leader of the outstanding scientific and technological innovation team of Universities in Jiangsu Province. He is mainly engaged in phylogenetic genomics, comparative genomics and population genetics.
Brief introduction of the report: Rebuilding the "tree of Life" is an important basis and approach for human understanding of life phenomena and their evolutionary rules, which is of great scientific significance. The rapid development of the new generation of high-throughput genome sequencing technology has provided the data foundation for the achievement of the great scientific goal of rebuilding the "tree of life". But the application of big genome data in the past decade has failed to effectively resolve some of the major controversies in the tree of Life. How to resolve these disputes has become a worldwide scientific problem. Centering on how to resolve these disputes during the reconstruction of the Tree of Life, our team has innovatively developed and applied new data analysis methods and models, providing a new technical approach for the reconstruction of the Tree of Life with large-scale genomic data in the future.