讲座报告:学术讲座

时间 2021年08月10日 09:30 - 10:30
地点 腾讯会议ID:585 320 599
网址

? ? ? ?应计算学部机器学习研究中心邀请,沙特阿卜杜拉国王科技大学 高欣 教授将于2021年8月10日通过线上会议的形式作报告,介绍机器学习方法辅助的基因诊断技术,欢迎大家参加。

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报告时间:2021年8月10日(星期二)9:30-10:30

特邀讲者:高欣 教授

报告地点:腾讯会议ID:585 320 599

主持人:武小荷 博士

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报告题目:Towards Accurate Biomedical Genomics Anywhere Anytime

报告摘要:Current genetic diagnosis by next-generation sequencing requires a large investment of resources and offers little point-of-care portability. Furthermore, it is unable to detect many types of genetic variations -– including large deletions, duplications, and balanced translocations -– that are relevant to human diseases and health.

Comparing to other sequencing technologies, Nanopore sequencing owns the advantages of point-of-care (i.e., sequencing anywhere anytime), long reads (i.e., assembly-free to detect various genetic variations), and PCR free (i.e., sample preparation is easy). However, its application is severely limited by a number of challenges, including low base-calling accuracy, lack of training data for AI-based methods, and computational burden on reads mapping.

In this talk, I will first give an overview of the research activities in Structural and Functional Bioinformatics Group (http://sfb.kaust.edu.sa). I will then focus on our efforts on developing computational methods to tackle key open problems in Nanopore sequencing. In particular, I will introduce our recent works on developing a collection of computational methods to decode raw electrical current signal sequences into DNA sequences, to simulate raw signals of Nanopore, and to efficiently and accurately align electrical current signal sequences with DNA sequences. I will further introduce their applications in biomedicine and healthcare.

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讲者简介高欣博士现任沙特阿卜杜拉国王科技大学计算机科学系终身正教授,博士生导师,并担任KAUST计算生物学研究中心副主任,KAUST智慧医疗中心副主任,及KAUST结构和功能生物信息学研究小组负责人。他于2004年在清华大学计算机系获得学士学位,2009年在加拿大滑铁卢大学计算机学院获得博士学位。2009年10月至2010年9月,在美国卡耐基梅隆大学计算机学院雷恩计算生物学中心担任雷恩学者。

高欣教授的研究焦点主要集中在计算机科学与生物学的交叉领域。他的团队致力于为生物和医疗的一系列开放性问题研发创新性的算法和人工智能方法,包括三代测序,蛋白质结构测定,分子功能标注,系统生物学,合成生物学,生物医疗影像,医疗大数据挖掘,及临床分子诊断等。他已经在生物信息和机器学习领域的国际顶级期刊和会议上发表论文250多篇,引用4400次。他共计主持了超过1.2亿人民币的科研项目,是超过50个美国及国际专利的第一发明人。他是Genomics,Proteomics & Bioinformatics, BMC Bioinformatics,Quantitative Biology,Journal of Bioinformatics and Computational Biology,Journal of Translational Medicine等期刊的编委,以及Methods,IEEE/ACM Transactions on Computational Biology and Bioinformatics,Frontiers in Molecular Bioscience等期刊的特约主编。

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