Long read sequencing for transcriptome characterization --- (how) can we quantify transcripts accurately with long reads

讲座名称：Long read sequencing for transcriptome characterization --- (how) can we quantify transcripts accurately with long reads

讲座人：KinFai Au 教授

讲座时间：7月20日16:00-17:00

讲座地点：长安校区会议中心121会议室

讲座人介绍：

Kin Fai Au（区健辉）教授2004年本科毕业于清华大学，2009年于牛津大学获得博士学位，2009年至2013年在斯坦福大学师从美国科学院院士Wing H. Wong教授从事博士后研究，2013年在爱荷华大学建立实验室直到2018年转至俄亥俄州立大学。在俄亥俄州立大学期间，曾任职生物医学信息学系副系主任（研究）及博士课程主任。2023年加入密歇根大学担任终身正教授。主要从事测序数据（尤其是长读长数据）的统计方法和计算方法（如genome lanauge model)方法开发，近年来在Nature Biotechnology、Nature Methods、Nature Structural & Molecular Biology等期刊发表了多篇关于长读长测序，RNA修饰，基因异构体和转座子的高水平论文。区教授是The Long-read RNA-seq Genome Annotation Assessment Project (LRGASP) Consortium的主要负责人之一，并且担任著名学术期刊Genome Biology和Genome Research的编委。

讲座内容：

Long-read sequencing has been widely adopted in transcriptomics research, particularly for identifying novel and complex transcriptomic events. As the cost and throughput of long-read sequencing have been improved, the applications to quantitative transcriptome analysis are emerging. Here I will present the development of the "K-value", which is designed to: (1) quantify the influence of gene isoform structural complexity on expression estimation via data deconvolution; and (2) rigorously demonstrate the advantages of long reads over short reads in isoform quantification through mathematical modeling, simulations, experimental validation, and large-scale public datasets. I also will present the software miniQuant that integrates short reads and long reads in a gene- and data-specific manner to achieve better gene isoform quantification over long reads alone and short reads alone. The proof-of-concept applications include the discoveries of gene isoform switching during stem cell differentiation and unique pattern of zygotic genome activation of transposable elements.

主办单位：生命科学技术学院

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