San Diego State University Gene Analysis Dataset Project
Now that you have a brief overview of RNA-seq analysis and one of the most popular bioinformatic softwares available, DESeq2, you will conduct your own demo analysis in order to get a sense of the entire process.
Use the DESeq2 tutorial to recreate the analysis with one of the following data sets:
data set 3
For submission, upload a DESeq2 results table in “.csv” format, with entries sorted by descending Log2FoldChange values and entries with adjusted p-value (padj) > 0.075 removed. Please make sure to annotate your “.rmd” document with what each function/tidbit of code is doing; you will be uploading this R markdown document as part of your notebook check 3.
