Functional DNA methylation differences between tissues, cell types, and across individuals discovered using the M&M algorithm

发布时间：2018-03-16 作者：浏览次数：

Speaker:	周彦	DateTime:	2018年3月17日（周六）上午10:30–11：30
Brief Introduction to Speaker: 周彦，深圳大学。		Place:	六号楼二楼报告厅
Abstract:DNA methylation plays key roles in diverse biological processes such as X chromosome inactivation, transposable element repression, genomic imprinting, and tissue-specific gene expression. Sequencing-based DNA methylation profiling provides an unprecedented opportunity to map and compare complete DNA methylomes. This includes one of the most widely applied technologies for measuring DNA methylation: methylated DNA immunoprecipitation followed by sequencing(MeDIP-seq), coupled with a complementary method, methylation-sensitive restriction enzyme sequencing(MRE-seq). A computational approach that integrates data from these two different but complementary assays and predicts methylation differences between samples has been unavailable. Here, we present a novel integrative statistical framework M&M (for integration of MeDIP-seq and MRE-seq) that dynamically scales, normalizes, and combines MeDIPseq and MRE-seq data to detect differentially methylated regions.

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