Cargando…

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

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. Charac...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Zhen, Li, Xianfeng, Jiang, Yi, Shao, Qianzhi, Liu, Qi, Chen, BingYu, Huang, Dongsheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4503785/
https://www.ncbi.nlm.nih.gov/pubmed/26176536
http://dx.doi.org/10.1371/journal.pone.0132866
_version_ 1782381363071025152
author Wang, Zhen
Li, Xianfeng
Jiang, Yi
Shao, Qianzhi
Liu, Qi
Chen, BingYu
Huang, Dongsheng
author_facet Wang, Zhen
Li, Xianfeng
Jiang, Yi
Shao, Qianzhi
Liu, Qi
Chen, BingYu
Huang, Dongsheng
author_sort Wang, Zhen
collection PubMed
description 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.
format Online
Article
Text
id pubmed-4503785
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-45037852015-07-17 swDMR: A Sliding Window Approach to Identify Differentially Methylated Regions Based on Whole Genome Bisulfite Sequencing Wang, Zhen Li, Xianfeng Jiang, Yi Shao, Qianzhi Liu, Qi Chen, BingYu Huang, Dongsheng PLoS One Research Article 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. Public Library of Science 2015-07-15 /pmc/articles/PMC4503785/ /pubmed/26176536 http://dx.doi.org/10.1371/journal.pone.0132866 Text en © 2015 Wang et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Wang, Zhen
Li, Xianfeng
Jiang, Yi
Shao, Qianzhi
Liu, Qi
Chen, BingYu
Huang, Dongsheng
swDMR: A Sliding Window Approach to Identify Differentially Methylated Regions Based on Whole Genome Bisulfite Sequencing
title swDMR: A Sliding Window Approach to Identify Differentially Methylated Regions Based on Whole Genome Bisulfite Sequencing
title_full swDMR: A Sliding Window Approach to Identify Differentially Methylated Regions Based on Whole Genome Bisulfite Sequencing
title_fullStr swDMR: A Sliding Window Approach to Identify Differentially Methylated Regions Based on Whole Genome Bisulfite Sequencing
title_full_unstemmed swDMR: A Sliding Window Approach to Identify Differentially Methylated Regions Based on Whole Genome Bisulfite Sequencing
title_short swDMR: A Sliding Window Approach to Identify Differentially Methylated Regions Based on Whole Genome Bisulfite Sequencing
title_sort swdmr: a sliding window approach to identify differentially methylated regions based on whole genome bisulfite sequencing
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4503785/
https://www.ncbi.nlm.nih.gov/pubmed/26176536
http://dx.doi.org/10.1371/journal.pone.0132866
work_keys_str_mv AT wangzhen swdmraslidingwindowapproachtoidentifydifferentiallymethylatedregionsbasedonwholegenomebisulfitesequencing
AT lixianfeng swdmraslidingwindowapproachtoidentifydifferentiallymethylatedregionsbasedonwholegenomebisulfitesequencing
AT jiangyi swdmraslidingwindowapproachtoidentifydifferentiallymethylatedregionsbasedonwholegenomebisulfitesequencing
AT shaoqianzhi swdmraslidingwindowapproachtoidentifydifferentiallymethylatedregionsbasedonwholegenomebisulfitesequencing
AT liuqi swdmraslidingwindowapproachtoidentifydifferentiallymethylatedregionsbasedonwholegenomebisulfitesequencing
AT chenbingyu swdmraslidingwindowapproachtoidentifydifferentiallymethylatedregionsbasedonwholegenomebisulfitesequencing
AT huangdongsheng swdmraslidingwindowapproachtoidentifydifferentiallymethylatedregionsbasedonwholegenomebisulfitesequencing