Functional Genomics Analysis: RNA-Seq, ChIP-Seq & DNA Methylation with R

Understanding complex genomic datasets is crucial in modern biological research. This course provides a clear path to analyzing key functional genomics data types, enabling you to derive meaningful biological insights from raw sequencing reads. By the end of this course, you will be equipped to process, analyze, and interpret RNA-Seq, ChIP-Seq, and DNA methylation data. What you'll learn: * Understand the core principles and experimental designs of RNA-Seq, ChIP-Seq, and DNA methylation. * Learn foundational R programming skills specifically tailored for biological data analysis. * Apply essential Bioconductor packages for preprocessing and quality control of genomic data. * Practice common workflows for differential expression analysis using RNA-Seq data. * Analyze ChIP-Seq data to identify and interpret protein-DNA interaction sites. * Interpret DNA methylation data to understand epigenetic regulation and its biological implications. * Implement reproducible analysis practices in R for robust and shareable genomic workflows. This course begins with an introduction to foundational concepts and R programming, then systematically guides you through the analytical pipelines for each functional genomics data type, culminating in practical interpretation skills. This course is designed for beginners in bioinformatics, molecular biology, and life sciences who wish to gain practical skills in genomic data analysis. No prior experience with R or genomics is required. Begin your journey into the exciting world of functional genomics data analysis today.