学术预告:CGmapTools and scBS-map: Bioinformatics Analysis and Visualization of Bisulfite Sequencing Data- www.4066.com

学术科研

学术预告:CGmapTools and scBS-map: Bioinformatics Analysis and Visualization of Bisulfite Sequencing Data

发布日期:2019-10-28 发表者:肖尚桃 浏览次数:次

报告题目: CGmapTools and scBS-map: Bioinformatics Analysis and Visualization of Bisulfite Sequencing Data

报告人:朱平 教授

报告时间:20191030日(周三)11:00

报告地点:逸夫楼C314会议室

摘要:DNA methylation is one of the major components of epigenetics. It plays crucial roles in gene expression, transposon activity, X chromosome inactivation and the maintenance of genomic imprinting. Bisulfite treatment of DNA sequences and combined with high throughput sequencing has been the gold standard for DNA methylation research. With the rapid accumulation of bisulfite sequencing data, tools efficient for data mining and interpretation are in urgent need. I have been focused on the regulatory mechanisms of DNA methylation involved in various biological processes via bisulfite sequencing and even at single-cell resolution. Here, I introduce two bioinformatics tools we recently developed to facilitate bisulfite sequencing data analysis and visualization. CGmapTools (http://cgmaptools.github.io) has 40 utilities versatile for data manipulation, SNP calling, allelic and sample wise DNA methylation analysis and visualization. Since the first single cell DNA methylation sequencing technique has been developed in 2013, the low mapping efficiency of single cell bisulfite sequencing data remains a critical issue. We developed scBSmap (http://github.com/wupengomics/scBS-map) for the mapping of single cell bisulfite sequencing data with enhanced mapping efficiency and recovery of functional elements.

报告人简介:

朱平,男,1990年生,2017获得北京大学细胞生物学博士学位。20179月加入中国医学科www.4066.com血液病医院(血液学研究所)实验血液学国家重点实验室任独立PI。入选天津市“131创新型人才(2018)以及青年拔尖人才2019)。长期从事单细胞基因组、转录组和表观遗传方向的研究,结合生物信息高通量数据分析,致力于解析表观遗传与基因组遗传多样性的复杂调控网络。 作为第一/共同第一、通讯作者,在Nature Nature Genetics Nature Chemical BiologyGenome Research Nature Protocols Bioinformatics等国际知名期刊上发表论文共8篇。首次开发并建立单细胞全基因组DNA甲基化分析方法;开发DNA甲基化数据分析和可视化工具;绘制首个人类早期胚胎发育过程中DNA甲基化重编程图谱;首次在单细胞水平揭示人类早期胚胎发育过程中DNA甲基化的动态变化规律;通过对单细胞转录组和功能的研究解析造血干细 胞形成的分子机制。目前主持并参与多项国家重要项目课题的科研工作。

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