报告人： Kin Fai Au, Ph.D.
Principal Investigator
Assistant Professor
Department of Internal Medicine
Department of Biostatistics
University of Iowa, USA
主持人： 张勇教授
时间： 2016年3月14日周一上午9:30
地点： 医学大楼1102会议室
 

Abstract
     New generation sequencing techniques can provide very informative insights into the transcriptome. However, the currently available transcriptome analysis tools are for Second Generation Sequencing (SGS) short reads and the short read length of which can introduce bias and even errors in downstream analysis. While the recent application of Third Generation Sequencing (TGS) long reads, such as PacBio data, to human transcriptome analysis has greatly advanced the field, key bioinformatic analysis platforms are missing. Furthermore, hybrid sequencing (Hybrid-Seq), which integrates SGS short read data into the analysis of TGS data, can improve the overall performance and resolution of the output data. Indeed, a handful of existing publications demonstrate the potential power of Hybrid-Seq for genomic data analysis. Here I present a Hybrid-Seq method, IDP-ASE to solve the problems of Allele Specific Expression (ASE) in transcriptome analysis, including haplotype phase problem and ASE quantification.
Research Focus
 RNA-seq and Third Generation Sequencing
 Stem cell transcriptome analysis
 Proteomics
 Interested in the methodology research of gene regulatory network and RNA editing