Dive into a comprehensive tutorial on RNAseq analysis, covering essential topics from raw data processing to advanced bioinformatics techniques. Learn how to perform differential gene expression analysis using DESeq2, interpret log2 fold-change results, and conduct Gene Set Enrichment Analysis with a hands-on R tutorial. Explore data manipulation techniques in R tailored for bioinformatics applications, suitable for beginners. Discover the intricacies of Weighted Correlation Network Analysis (WGCNA) through a detailed walkthrough. Finally, gain insights into creating your own R package, empowering you to share your bioinformatics tools with the scientific community.
Overview
Syllabus
RNASeq Analysis | Differential Expressed Genes (DEGs) from FastQ.
Log2 fold-change & DESeq2 model in a nutshell.
Gene Set Enrichment Analysis (+ R tutorial).
Data manipulation in R (For Bioinformatics)| R tutorial | For beginner.
Weighted correlation network analysis (WGCNA) tutorial in R| PART I.
How to create your own package in R?.
Taught by
Liquid Brain
