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Analysis and Performance Assessment of the Whole Genome Bisulfite Sequencing Data Workflow: Currently Available Tools and a Practical Guide to Advance DNA Methylation Studies

Ting Gong, Heather Borgard, Zao Zhang, Shaoqiu Chen, Zitong Gao, Youping Deng

2022Small Methods61 citationsDOIOpen Access PDF

Abstract

DNA methylation is associated with transcriptional repression, genomic imprinting, stem cell differentiation, embryonic development, and inflammation. Aberrant DNA methylation can indicate disease states, including cancer and neurological disorders. Therefore, the prevalence and location of 5-methylcytosine in the human genome is a topic of interest. Whole-genome bisulfite sequencing (WGBS) is a high-throughput method for analyzing DNA methylation. This technique involves library preparation, alignment, and quality control. Advancements in epigenetic technology have led to an increase in DNA methylation studies. This review compares the detailed experimental methodology of WGBS using accessible and up-to-date analysis tools. Practical codes for WGBS data processing are included as a general guide to assist progress in DNA methylation studies through a comprehensive case study.

Topics & Concepts

WorkflowBisulfite sequencingDNA methylationComputational biologyBisulfiteMethylationComputer scienceDNA sequencingWhole genome sequencingBiologyGenomeDNAData scienceGeneticsDatabaseGeneGene expressionEpigenetics and DNA MethylationRNA modifications and cancerGenetic Syndromes and Imprinting
Analysis and Performance Assessment of the Whole Genome Bisulfite Sequencing Data Workflow: Currently Available Tools and a Practical Guide to Advance DNA Methylation Studies | Litcius