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Iteratively randomly pooling scRNA-seq expressing a given gene from different numbers of cells and running DESeq2 with fdrtools correction to determine how many times which genes come out as enriched with said gene
Part of the final project for an Intro to Bioinformatics graduate course. Using RStudio I ran DESeq2 to show differentially expressed genes between control mice and mice infected with RSV.
Performed a differential gene expression analysis with RNA-seq that compares the expression in human control breast cancer cell lines with lines treated by silencing the NRDE2 gene. A Salmon + tximport + DESeq2 workflow was conducted to pursue this.