THIS REPO IS ARCHIVED, PLEASE GO TO https://hbctraining.github.io/main FOR CURRENT LESSONS.
Audience | Computational Skills | Prerequisites | Duration |
---|---|---|---|
Biologists | Beginner/Intermediate | None | 3-day workshop (~19.5 hours of trainer-led time) |
This repository has teaching materials for a 3-day, hands-on Introduction to R and differential gene expression (DGE) analysis workshop. The workshop will introduce participants to the basics of R and RStudio and their application to differential gene expression analysis on RNA-seq count data.
R is a simple programming environment that enables the effective handling of data, while providing excellent graphical support. RStudio is a tool that provides a user-friendly environment for working with R. Together, R and RStudio allow participants to wrangle data, plot, and use DESeq2 to obtain lists of differentially expressed genes from RNA-seq count data.
This workshop is intended to provide both basic R programming knowledge AND its application. Participants should be interested in:
These materials are developed for a trainer-led workshop, but also amenable to self-guided learning.
All the files used for the above lessons are linked within as needed.
These materials have been developed by members of the teaching team at the Harvard Chan Bioinformatics Core (HBC). 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.