报告题目：Genomic Data Quality Control, Mining and Advanced Analysis using Mendelian Randomization

报  告 人：Yan Guo, Assistant Professor

Department of Cancer Biology

VANGARD Technical Director for Bioinformatics,

School of Medicine, Vanderbilt University, USA

报告时间：5月28日下午 13:30 -14:30

报告地点：闵行校区生物药学楼 2-123  会议室

联  系 人：李婧  021-34204348

 

Abstract:

The advance in genomic technologies has also created significant challenges in bioinformatics. One of the major challenges is the quality control of large scale genomic data. Here, we introduce a robust multi-perspective quality protocol for genomic data (sequencing and genotyping) which is essential for the success of a study.  Additionally, we will describe novel strategies for data mining using high throughput sequencing and genotyping data.   Finally, we will introduce a concept of Mendelian Randomization, a method of using measured variation in genes of known trait to examine the causal effect of a modifiable exposure on disease in non-experimental studies.

 

Biography:

Dr. Yan Guo received his PhD in computer science from University of South Carolina in 2009. Currently, he is an assistant professor at the Vanderbilt Center for Quantitaitive Sciences, Department of Cancer Biology. He sis also serving as the technical director of bioinformatics for Vanderbilt Technologies for advanced Genomics analysis and research design (VANDARD). His research is focused on sequencing data analysis in cancer and development of bioinformatics methodology and analysis approaches for high dimensional genomic data. Since 2007, Dr. Guo has more than 50 publications in Nature, Nature Protocol, OncoGene etc.