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Enhanced Reduced Representation Bisulfite Sequencing for Assessment of DNA Methylation at Base Pair Resolution

Enhanced Reduced Representation Bisulfite Sequencing for Assessment of DNA Methylation at Base Pair Resolution

Published on: February 24, 2015

Strategies for analyzing bisulfite sequencing data.

Katarzyna Wreczycka¹, Alexander Gosdschan², Dilmurat Yusuf²

¹Bioinformatics Platform, Berlin Institute for Medical Systems Biology, Max-Delbrück Center for Molecular Medicine, Berlin, Germany; Berlin Institute of Health (BIH), 10178 Berlin, Germany.

Journal of Biotechnology

|August 21, 2017

Summary

This summary is machine-generated.

This review covers techniques for analyzing DNA methylation using bisulfite sequencing. It guides researchers on data quality checks, differential methylation analysis, and region annotation for better understanding gene regulation and cell identity.

Keywords:

Bisulfite-sequencing Differential methylation Galaxy Methylation Methylation segmentation

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DNA Methylation: Bisulphite Modification and Analysis

DNA Methylation: Bisulphite Modification and Analysis

Published on: October 21, 2011

Area of Science:

Epigenetics and Genomics
Molecular Biology

Background:

DNA methylation is a key epigenetic modification regulating gene expression and cell identity.
Bisulfite sequencing is the standard method for genome-wide methylation analysis.

Purpose of the Study:

To review and guide researchers on various techniques for analyzing high-throughput bisulfite sequencing data.
To provide best practices for data processing, quality control, and downstream analysis.

Main Methods:

Short-read alignment techniques and quality control for bisulfite sequencing data.
Differential methylation analysis, methylome segmentation, and region annotation methods.
Comparison of analysis methods using simulated and real datasets.

Main Results:

Discussion of specialized alignment and quality check methods.
Introduction to differential methylation, segmentation, and annotation strategies.
Overview of software packages and online workflows for efficient data analysis.

Conclusions:

The review offers comprehensive strategies for bisulfite sequencing data analysis.
It aims to assist researchers of all levels in interpreting epigenetic modifications and their role in gene regulation.