講座報告:學術講座

時間 2021年08月10日 09:30 - 10:30
地點 騰訊會議ID:585 320 599
網址

? ? ? ?應計算學部機器學習研究中心邀請,沙特阿卜杜拉國王科技大學 高欣 教授將于2021年8月10日通過線上會議的形式作報告,介紹機器學習方法輔助的基因診斷技術,歡迎大家參加。

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報告時間:2021年8月10日(星期二)9:30-10:30

特邀講者:高欣 教授

報告地點:騰訊會議ID:585 320 599

主持人:武小荷 博士

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報告題目:Towards Accurate Biomedical Genomics Anywhere Anytime

報告摘要: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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講者簡介高欣博士現任沙特阿卜杜拉國王科技大學計算機科學系終身正教授,博士生導師,并擔任KAUST計算生物學研究中心副主任,KAUST智慧醫療中心副主任,及KAUST結構和功能生物信息學研究小組負責人。他于2004年在清華大學計算機系獲得學士學位,2009年在加拿大滑鐵盧大學計算機學院獲得博士學位。2009年10月至2010年9月,在美國卡耐基梅隆大學計算機學院雷恩計算生物學中心擔任雷恩學者。

高欣教授的研究焦點主要集中在計算機科學與生物學的交叉領域。他的團隊致力于為生物和醫療的一系列開放性問題研發創新性的算法和人工智能方法,包括三代測序,蛋白質結構測定,分子功能標注,系統生物學,合成生物學,生物醫療影像,醫療大數據挖掘,及臨床分子診斷等。他已經在生物信息和機器學習領域的國際頂級期刊和會議上發表論文250多篇,引用4400次。他共計主持了超過1.2億人民幣的科研項目,是超過50個美國及國際專利的第一發明人。他是Genomics,Proteomics & Bioinformatics, BMC Bioinformatics,Quantitative Biology,Journal of Bioinformatics and Computational Biology,Journal of Translational Medicine等期刊的編委,以及Methods,IEEE/ACM Transactions on Computational Biology and Bioinformatics,Frontiers in Molecular Bioscience等期刊的特約主編。

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