Content Comparison

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1. Preparing your data. Two data files are needed for this analysis: a samples table and your count table

2. R packages

   1. Install required R packages (only need to run once) - after installation, we only need to load the packages. NOTE: If using an rVDI virtual machine, the R packages are already installed

   2. Load required R packages. Unlike installing the packages, this needs to be done every time you run the analysis

   3. Import your data files (count table and samples table) into R

3. Checking for outliers and batch effects

   1. PCA plot

   2. Pairwise samples heatmap

4. Identify differentially expressed (DE) genes using DESeq2

   1. Annotating your DE genes

   2. Volcano plot

   3. DE genes heatmap

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