Plotting TPM values - while learning how to melt data (John Rinn Computational Genomics Lab)

Let's find out how much genes changed in abundance (TPMs) during the treatment of Dox. We will also learn a key skill of pivoting data tables in R. This allows us to group by conditions and get average and standard deviation (error) from our replicates across time ! It's a bit tricky to get your head around at first (at least it was/still is for me). But absolutely a key concept to learn in R and we get to find new results too ! *** Oh and extra bonus material on how to make a function to bundle all the skills learned in this lesson. *** See next video and at the bottom of the RMD file on github. All data needed for this calls can be downloaded here: https://rinnformatics.colorado.edu/mouse_rnaseq/ John Rinn Github for this class: https://github.com/boulderrinnlab/MASTER_CLASS/blob/main/lessons/07_visualization_figures/04_TPM_plots.Rmd John Rinn CGL Website for this class: https://www.lncrna.io/cgl-level-7 -TPM Plots John Rinn BioFrontiers: https://www.colorado.edu/biofrontiers/john-rinn John Rinn Lab: lncRNA.io John Rinn Teaching: lncrna.io/teaching John Rinn University of Colorado Boulder Biochemistry: https://www.colorado.edu/biochemistry/john-rinn John Rinn Linkedin: https://www.linkedin.com/in/john-rinn/