pilmbc211 RNAseq analyais II

This workshop will show the most common functions used during differential expression analysis and how to automatize into the analysis with a template.

Audience Computational skills required Duration
Biologists Beginner/Intermediate R 3-hour workshop (~3 hours of trainer-led time)

Learning Objectives

  • Common functions used for differential expression (DE) analysis:
    • Load files
    • DE analysis
  • Automatize the analysis

Contents

Lessons Estimated Duration
Setting up 15 min
Load Data 30 min
Differential Expression report 60 min
Automatize reports 30 min

Dataset

All the files used for the above lessons are linked within, but can also be accessed here. Download the full project to start.

Installation Requirements

Download the most recent versions of R and RStudio for your laptop:

Install the required R packages by running the following code in RStudio:

install.packages("devtools")
download.file("https://raw.githubusercontent.com/pilm-bioinformatics/templates-rmd-de/master/config/install.R", "install.R")
source("install.R")

These materials have been developed by members of the teaching team at the PILM - MIT Bioinformatics Core (PILMBC). These are open access materials distributed under the terms of the Creative Commons Attribution license (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.