DMAP2:全基因组规模 DNA 甲基化测序数据分析管道

Peter A. Stockwell, Euan J. Rodger, Gregory Gimenez, Ian M. Morison, Aniruddha Chatterjee
{"title":"DMAP2:全基因组规模 DNA 甲基化测序数据分析管道","authors":"Peter A. Stockwell,&nbsp;Euan J. Rodger,&nbsp;Gregory Gimenez,&nbsp;Ian M. Morison,&nbsp;Aniruddha Chatterjee","doi":"10.1002/cpz1.70003","DOIUrl":null,"url":null,"abstract":"<p>DNA methylation is well-established as a major epigenetic mechanism that can control gene expression and is involved in both normal development and disease. Analysis of high-throughput-sequencing-based DNA methylation data is a step toward understanding the relationship between disease and phenotype. Analysis of CpG methylation at single-base resolution is routinely done by bisulfite sequencing, in which methylated Cs remain as C while unmethylated Cs are converted to U, subsequently seen as T nucleotides. Sequence reads are aligned to the reference genome using mapping tools that accept the C-T ambiguity. Then, various statistical packages are used to identify differences in methylation between (groups of) samples. We have previously developed the Differential Methylation Analysis Pipeline (DMAP) as an efficient, fast, and flexible tool for this work, both for whole-genome bisulfite sequencing (WGBS) and reduced-representation bisulfite sequencing (RRBS). The protocol described here includes a series of scripts that simplify the use of DMAP tools and that can accommodate the wider range of input formats now in use to perform analysis of whole-genome-scale DNA methylation sequencing data in various biological and clinical contexts. © 2024 The Author(s). Current Protocols published by Wiley Periodicals LLC.</p><p><b>Basic Protocol</b>: DMAP2 workflow for whole-genome bisulfite sequencing (WGBS) and reduced-representation bisulfite sequencing (RRBS)</p>","PeriodicalId":93970,"journal":{"name":"Current protocols","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cpz1.70003","citationCount":"0","resultStr":"{\"title\":\"DMAP2: A Pipeline for Analysis of Whole-Genome-Scale DNA Methylation Sequencing Data\",\"authors\":\"Peter A. Stockwell,&nbsp;Euan J. Rodger,&nbsp;Gregory Gimenez,&nbsp;Ian M. Morison,&nbsp;Aniruddha Chatterjee\",\"doi\":\"10.1002/cpz1.70003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>DNA methylation is well-established as a major epigenetic mechanism that can control gene expression and is involved in both normal development and disease. Analysis of high-throughput-sequencing-based DNA methylation data is a step toward understanding the relationship between disease and phenotype. Analysis of CpG methylation at single-base resolution is routinely done by bisulfite sequencing, in which methylated Cs remain as C while unmethylated Cs are converted to U, subsequently seen as T nucleotides. Sequence reads are aligned to the reference genome using mapping tools that accept the C-T ambiguity. Then, various statistical packages are used to identify differences in methylation between (groups of) samples. We have previously developed the Differential Methylation Analysis Pipeline (DMAP) as an efficient, fast, and flexible tool for this work, both for whole-genome bisulfite sequencing (WGBS) and reduced-representation bisulfite sequencing (RRBS). The protocol described here includes a series of scripts that simplify the use of DMAP tools and that can accommodate the wider range of input formats now in use to perform analysis of whole-genome-scale DNA methylation sequencing data in various biological and clinical contexts. © 2024 The Author(s). Current Protocols published by Wiley Periodicals LLC.</p><p><b>Basic Protocol</b>: DMAP2 workflow for whole-genome bisulfite sequencing (WGBS) and reduced-representation bisulfite sequencing (RRBS)</p>\",\"PeriodicalId\":93970,\"journal\":{\"name\":\"Current protocols\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cpz1.70003\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current protocols\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/cpz1.70003\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current protocols","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cpz1.70003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

DNA 甲基化是一种主要的表观遗传机制,可控制基因表达,并参与正常发育和疾病。分析基于高通量测序的 DNA 甲基化数据是了解疾病与表型之间关系的一个步骤。单碱基分辨率的 CpG 甲基化分析通常通过亚硫酸氢盐测序完成,其中甲基化的 C 保留为 C,而未甲基化的 C 则转化为 U,随后显示为 T 核苷酸。使用可接受 C-T 歧义的映射工具将序列读数与参考基因组进行比对。然后,使用各种统计软件包来确定(组)样本之间甲基化的差异。我们之前开发了差异甲基化分析管道(DMAP),作为这项工作高效、快速、灵活的工具,既适用于全基因组亚硫酸氢盐测序(WGBS),也适用于还原型亚硫酸氢盐测序(RRBS)。这里描述的协议包括一系列脚本,这些脚本简化了 DMAP 工具的使用,并能适应目前用于分析各种生物和临床环境中全基因组规模 DNA 甲基化测序数据的更广泛的输入格式。© 2024 作者。基本协议:用于全基因组亚硫酸氢盐测序(WGBS)和还原型亚硫酸氢盐测序(RRBS)的 DMAP2 工作流程
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
DMAP2: A Pipeline for Analysis of Whole-Genome-Scale DNA Methylation Sequencing Data

DNA methylation is well-established as a major epigenetic mechanism that can control gene expression and is involved in both normal development and disease. Analysis of high-throughput-sequencing-based DNA methylation data is a step toward understanding the relationship between disease and phenotype. Analysis of CpG methylation at single-base resolution is routinely done by bisulfite sequencing, in which methylated Cs remain as C while unmethylated Cs are converted to U, subsequently seen as T nucleotides. Sequence reads are aligned to the reference genome using mapping tools that accept the C-T ambiguity. Then, various statistical packages are used to identify differences in methylation between (groups of) samples. We have previously developed the Differential Methylation Analysis Pipeline (DMAP) as an efficient, fast, and flexible tool for this work, both for whole-genome bisulfite sequencing (WGBS) and reduced-representation bisulfite sequencing (RRBS). The protocol described here includes a series of scripts that simplify the use of DMAP tools and that can accommodate the wider range of input formats now in use to perform analysis of whole-genome-scale DNA methylation sequencing data in various biological and clinical contexts. © 2024 The Author(s). Current Protocols published by Wiley Periodicals LLC.

Basic Protocol: DMAP2 workflow for whole-genome bisulfite sequencing (WGBS) and reduced-representation bisulfite sequencing (RRBS)

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
4.00
自引率
0.00%
发文量
0
期刊最新文献
A Double Lysis Method for Animal Rotavirus RNA Extraction From Stool Samples. Exome Sequencing Starting from Single Cells Issue Information Ultrafast His-Tagged Protein Purification LipidOne 2.0: A Web Tool for Discovering Biological Meanings Hidden in Lipidomic Data
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1