Bioinformatics Workshop Series - Session 4 - Manipulate DESeq2’s results() and plot functions (In-Person)

Registration is required. View workshop details here.

Workshop Series: Introduction to bulk RNA-seq analysis - from counts to functional analysis

Summary:

The Bioinformatics Support Hub has designed this hands-on teaching series for researchers interested in learning the basic steps for re-analysis of publicly available bulk-RNAseq data. Over the next two months, you can learn basic concepts concerning genomic data annotation and vocabulary, where to find bulk RNAseq data to re-analyze, how to perform differential gene analysis in RStudio and with point-click proprietary software, how to visualize your results, how to find transcription factors that may be regulating differentially expressed genes, and finally, different approaches to perform gene pathway analysis. *Registrations for October sessions will open at the end of September.

Session 4. Manipulate DESeq2’s results() and plot functions

Join us for the third part on how to run a differential gene expression analysis with *DESeq2.

This session will focus on how to extract results when your study has more than two groups and how to use the basic plots available in DESeq2 package to visualize your data.

Be advised that in this session we will not cover how to import data into RStudio and setup a differential gene expression analysis with the R package DESeq2, which was the focus of the previous session.

You will learn how to:

• Use *DESeq2* function *resultsNames()* to retrieve the different comparisons that were setup in DESeq2 analysis design
• Use the argument *contrast = * within the function *results()* to retrieve the results of comparisons between specific groups in a study with 4 groups
• Use functions *plotPCA()*, *MAplot()* and *plot()* as basic tools to visualize data analyzed with DESeq2 package.

Requirements:

• Bring a laptop with R and RStudio installed and running.

Details:

Target audience: These classes are meant for novices in bulk RNAseq analysis, with none to minimal knowledge in R programming.

Seating – in-person classes are limited to 16 places.

Registrations - open to all interested. However, seating will be on a “first come, first served” basis.

Recording – we will record the sessions so you can follow asynchronously.