Differentially gene expression analysis with RNA-seq data is quite common nowadays, and there are pretty good Bioconductor packages for that: limma::voom, DESeq2 …
The code for that part is quite simple, being super quick to get a list of de-regulated genes.
What is the lying factor in figures?
It is the ratio between the difference of two numbers and the difference of the visualization of those two numbers. For instance:
You have two groups, each group is represented by 4 and 2.
One of my interest in science is finding new ways to visualize Big Data. Scientist are used to work with static visualization, that of course, is wonderful in the majority of the case.