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RNA-Seq Analysis with R (Cohort 03)

Welcome to the RNA-Seq Analysis with R repository for Cohort 03! This repository contains all resources, scripts, and documentation to guide you through RNA-Seq analysis using R, from preprocessing to interpretation of results.

Course Overview

In this course, we cover the fundamentals of RNA-Seq analysis with a focus on differential gene expression analysis. Topics include:

  • Data preprocessing
  • Quality control
  • Normalization techniques
  • Statistical analysis
  • Biological interpretation

Throughout, we leverage key R packages such as DESeq2, edgeR, and limma for practical applications.

Prerequisites

Participants should have:

  • Basic knowledge of R programming.
  • Familiarity with fundamental concepts in bioinformatics and molecular biology.
  • Access to RStudio and required packages (see Installation).

Installation

To get started, clone this repository and install the required R packages. In R, run:

# Install required packages
install.packages(c("BiocManager", "tidyverse"))
BiocManager::install(c("DESeq2", "edgeR", "limma", "EnhancedVolcano"))