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学术预告:Fast, Sensitive and Accurate Detection of Virus Integrations in cancer

发布日期:2017-06-28 发表者: 浏览次数:2673次

报告题目:Fast, Sensitive and Accurate Detection of Virus Integrations in cancer

报告人: 宋永健  教授

报告时间:2017年629日(周四)10:00

报告地点:逸夫楼C314会议室

摘要:

The study of virus integrations in human genome is important since virus integrations were shown to be associated with diseases. In the literature, few methods have been proposed that predict virus integrations using next generation sequencing datasets. Although they work, they are slow and are not very sensitive.

This talk introduces a new method BatVI to predict viral integrations. Our method uses a fast screening method to filter out chimeric reads containing possible viral integrations. Next, sensitive alignments of these candidate chimeric reads are called by BLAST. Chimeric reads that are co-localized in the human genome are clustered. Finally, by assembling the chimeric reads in each cluster, high confident virus integration sites are extracted.

Finally, we applied BatVI to two liver cancer datasets. We will discuss the findings we have.

报告人简介:

宋永健博士,新加坡国立大学计算机学院正教授,新加坡基因组研究院的资深项目主持人,生物信息学领域的知名的专家,BWT算法的开创者(流行比对软件BWABowtie2BLASR等都是基于BWT的),领导开发了多项生物信息学软件,已发表240多篇高水平论文,包括在NatureNature GeneticsCellGenome BiologyBioinformaticsRECOMB等知名杂志和会议发表论文。获科学奖项情况如下:

1. 新加坡国立大学,青年研究奖(新加坡国立大学的最高科学奖)2008

2. 新加坡国家科学奖(新加坡的最高科学奖),2006