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Related Experiment Video

Updated: May 11, 2026

Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies
14:56

Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies

Published on: May 6, 2022

An integrated workflow for DNA methylation analysis.

Pingchuan Li1, Feray Demirci, Gayathri Mahalingam

  • 1Department of Plant & Soil Sciences, Delaware Biotechnology Institute, University of Delaware, Newark, DE 19711, USA.

Journal of Genetics and Genomics = Yi Chuan Xue Bao
|May 28, 2013
PubMed
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DNA methylation analysis using BS-seq offers a new method for studying epigenetic regulation across genomes. This workflow details DNA methylation profiling from library preparation to data visualization, aiding genome function research.

Area of Science:

  • Epigenetics and Genomics
  • Molecular Biology

Background:

  • Cytosine methylation is crucial for epigenetic regulation in eukaryotes, impacting genome stability and gene expression.
  • DNA methylation plays a vital role in various aspects of genome function and maintenance.
  • Bisulfite sequencing (BS-seq) provides an unbiased method for profiling DNA methylation at single-cytosine resolution.

Purpose of the Study:

  • To present a comprehensive workflow for DNA methylation analysis using BS-seq.
  • To illustrate the process from library preparation to data visualization.
  • To highlight applications in data interpretation for understanding genome function.

Main Methods:

  • Whole-genome DNA methylation analysis.
  • Bisulfite sequencing (BS-seq) library preparation.

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Related Experiment Videos

Last Updated: May 11, 2026

Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies
14:56

Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies

Published on: May 6, 2022

Genome-Wide Analysis of DNA Methylation in Gastrointestinal Cancer
07:50

Genome-Wide Analysis of DNA Methylation in Gastrointestinal Cancer

Published on: September 18, 2020

Targeted DNA Methylation Analysis by Next-generation Sequencing
08:38

Targeted DNA Methylation Analysis by Next-generation Sequencing

Published on: February 24, 2015

  • Bioinformatic pipeline for data processing and visualization.

    • Main Results:

    • A detailed workflow for BS-seq data analysis was established.
    • Visualization tools for plant DNA methylation data are publicly accessible.
    • The study demonstrates the utility of BS-seq in epigenetic research.

    Conclusions:

    • BS-seq is an effective method for high-resolution DNA methylation profiling.
    • The described workflow facilitates the analysis and interpretation of epigenetic data.
    • Publicly available data and tools enhance research in plant epigenetics.