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Computational Analysis of DNA Methylation from Long-Read Sequencing

Labroots via YouTube

Overview

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Explore computational methods for analyzing DNA methylation patterns using long-read sequencing technologies in this 22-minute webinar presented by Dr. Yilei Fu from Baylor College of Medicine. Learn about the critical role of DNA methylation as an epigenetic mechanism in gene regulation, development, aging, and disease onset including cancer. Discover how single-molecule long-read sequencing simultaneously measures epigenetic states and genomic variation, enabling new insights into methylation's regulatory functions. Examine computational approaches for calling methylation signals, contrasting methylation between samples, analyzing cell-type diversity, and gaining genomic insights from long-read datasets. Understand the challenges and future perspectives in tool development for DNA methylation research, including the cross-talk between DNA methylation and somatic and mosaic structural variations. Gain practical knowledge about advanced bioinformatics methods that leverage long-read sequencing data to study chromatin structure and gene regulation mechanisms.

Syllabus

Computational analysis of DNA methylation from long-read sequencing

Taught by

Labroots

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