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Updated: Sep 24, 2025

DNA Methylation: Bisulphite Modification and Analysis
12:34

DNA Methylation: Bisulphite Modification and Analysis

Published on: October 21, 2011

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Differential Methylation Analysis for Bisulfite Sequencing (BS-Seq) Data.

Hao Feng1, Karen Conneely2,3, Hao Wu1

  • 1Department of Biostatistics and Bioinformatics, Emory University Rollins School of Public Health, Atlanta, GA, USA.

Methods in Molecular Biology (Clifton, N.J.)
|May 3, 2022
PubMed
Summary
This summary is machine-generated.

This study details how to analyze DNA methylation data from bisulfite sequencing (BS-seq) to find differences between biological conditions. It provides a guide for identifying differentially methylated loci/regions using the DSS Bioconductor package.

Keywords:
Bisulfite sequencingDifferential methylationEpigeneticsMethylationMethylation analysis

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Area of Science:

  • Epigenomics
  • Genomics
  • Bioinformatics

Background:

  • Bisulfite sequencing (BS-seq) allows single-nucleotide resolution of DNA methylation.
  • Understanding DNA methylation variation across biological contexts is crucial for epigenomics.
  • Identifying differentially methylated loci/regions (DML/DMRs) is a core task in BS-seq data analysis.

Purpose of the Study:

  • To provide detailed procedures for differential methylation analysis of BS-seq data.
  • To guide researchers in identifying DML/DMRs using the DSS Bioconductor package.
  • To offer step-by-step instructions for analytical tools in BS-seq data analysis.

Main Methods:

  • Utilizing the Bioconductor package DSS for differential methylation analysis.
  • Implementing a detailed analysis scheme for BS-seq data.
  • Applying analytical tools for identifying DML/DMRs.

Main Results:

  • A comprehensive procedural guide for differential methylation analysis in BS-seq.
  • Demonstration of how to use the DSS package for identifying DML/DMRs.
  • Facilitation of DML/DMR identification across various biological contexts.

Conclusions:

  • The DSS package provides a robust framework for BS-seq differential methylation analysis.
  • This guide empowers researchers to effectively analyze BS-seq data for epigenomic insights.
  • Accurate identification of DML/DMRs is essential for functional epigenomics research.