Chapter title |
DNA Methylation Data Analysis Using Msuite.
|
---|---|
Chapter number | 1 |
Book title |
Computational Epigenomics and Epitranscriptomics
|
Published in |
Methods in molecular biology, January 2023
|
DOI | 10.1007/978-1-0716-2962-8_1 |
Pubmed ID | |
Book ISBNs |
978-1-07-162961-1, 978-1-07-162962-8
|
Authors |
Liu, Xiaojian, Yuan, Pengxiang, Sun, Kun |
Abstract |
DNA methylation is a widespread epigenetic modification responsible for many biological regulation pathways. The development of various powerful biochemical assays, including conventional bisulfite treatment-based and emerging bisulfite-free techniques, has promised high-resolution DNA methylome profiling and significantly propelled the DNA methylation research field. However, the analysis of large-scale data generated from such assays is still complex and challenging. In this paper, we present a step-by-step protocol for using Msuite for whole-spectrum DNA methylation data analysis, from quality control, read alignment, to methylation call and data visualization. The Msuite package and a testing dataset are freely available at https://github.com/hellosunking/Msuite. |
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