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swDMR:一种基于全基因组亚硫酸氢盐测序识别差异甲基化区域的滑动窗口方法。

swDMR: A Sliding Window Approach to Identify Differentially Methylated Regions Based on Whole Genome Bisulfite Sequencing.

作者信息

Wang Zhen, Li Xianfeng, Jiang Yi, Shao Qianzhi, Liu Qi, Chen BingYu, Huang Dongsheng

机构信息

Research Center of Blood Transfusion Medicine, Key Laboratory of Laboratory Medicine (Wenzhou Medical University), Ministry of Education, Zhejiang Provincial People's Hospital, Hangzhou, Zhejiang, China.

State Key Laboratory of Medical Genetics, Central South University, Changsha, Hunan, China.

出版信息

PLoS One. 2015 Jul 15;10(7):e0132866. doi: 10.1371/journal.pone.0132866. eCollection 2015.

Abstract

DNA methylation is a widespread epigenetic modification that plays an essential role in gene expression through transcriptional regulation and chromatin remodeling. The emergence of whole genome bisulfite sequencing (WGBS) represents an important milestone in the detection of DNA methylation. Characterization of differential methylated regions (DMRs) is fundamental as well for further functional analysis. In this study, we present swDMR (http://sourceforge.net/projects/swDMR/) for the comprehensive analysis of DMRs from whole genome methylation profiles by a sliding window approach. It is an integrated tool designed for WGBS data, which not only implements accessible statistical methods to perform hypothesis test adapted to two or more samples without replicates, but false discovery rate was also controlled by multiple test correction. Downstream analysis tools were also provided, including cluster, annotation and visualization modules. In summary, based on WGBS data, swDMR can produce abundant information of differential methylated regions. As a convenient and flexible tool, we believe swDMR will bring us closer to unveil the potential functional regions involved in epigenetic regulation.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fd6/4503785/7df4b8bbf187/pone.0132866.g001.jpg

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