生科院专题学术讲座 | Xiao Li:Promise and premise of big data in biological sciences: lessons from human genetics

来源:生命科学学院 发布时间:2019-12-03 作者:生命科学学院

时间:2019年12月5日(周四)14:00 - 15:30

Time14:00-15:30, Thursday, December 5, 2019

地点:西湖大学云栖校区3号楼312会议室

Venue: Room 312, Building 3, Yunqi Campus

主持人:西湖大学生命科学学院PI 甄莹博士

HostDr. Ying Zhen, PI of School of Sciences, Westlake University


主讲嘉宾/Speaker:


Xiao Li (李潇)

Broad Institute of MIT and Harvard

Advanced Institute of Information Technology, Peking University


主讲人简介/Biography:

Xiao Li is a computational biologist at the Broad Institute and a principle investigator at Advanced Institute of Information Technology, Peking University. Mentored by cancer computational biologist Dr. Gad Getz and human geneticist Dr. Daniel MacArthur at the Broad Institute, he mainly focused on translation of state-of-the-art computational technologies in biomedical science. He was one of the core members of the Genotype-Tissue Expression Project, where he was in charge of the production and analyses of human genomics data from thousands of individuals. He has developed many statistical and computational methods to meet the challenges in modern genomic data analyses, many of which were published in important journals, such as Nature, Science and Nature Genetics. He holds a master degree in genetics from Iowa State University, mentored by maize geneticist Dr. Patrick Schnable and statistician Dr. Daniel Nettleton. Before that, he got his bachelor degree in biochemistry from China Agricultural University.


讲座摘要/Abstract:

High-throughput technologies are revolutionizing the way biologists making discoveries. Innovative sequencing based technologies, such as whole genome sequencing, 3C-seq, ATAC-seq, CITE-seq, Slide-seq and single cell RNA-seq, are revealing genomic, functional genomic and epigenomic patterns at an unprecedented scale. The tsunami of data has brought new challenges in biological research, as new methods and tools are needed to generate biological insights. In the first part of the talk, I will use Genotype-Tissue Expression (GTEx) project as an example to show how big data has revolutionized human genetics. Secondly, I will talk about challenges in dealing with big data, and approaches we used to undertake them. Specifically, I will talk about challenges in data storage, analysis, data heterogeneity and data visualization. Last but not least, I will talk about the future of big-data driven biology, highlighting multi-omics data integration, data mining technologies and the uprising of biobanks. Towards the end, I will talk about how the state-of-the-art information technologies, such as blockchain and artificial intelligence, can help accelerate scientific discoveries.


讲座联系人/Contact:

生命科学学院

于文越 yuwenyue@westlake.edu.cn


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