Let's analyze our RNAseq data in TPM (transcripts per million). John Rinn Computational Genomics Lab

TPM Time ! Up until now we have been using counts data to analyze our data but now we will explore TPMs (Transcripts Per Million). This is a measure of "how much" of a given gene is expressed at each time point. It's typically used to measure how much a gene changes in abundance after dox exposure and the variance of that change.
John Rinn Computational Genomics Lab Website:
www.lncrna.io/...
John Rinn Github for this class:
github.com/bou...
John Rinn Lab website:
lncrna.io
John Rinn University of Colorado Boulder Biofrontiers
John Rinn University of Colorado Boulder Biochemistry:
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[@diegobotto6245]

this is waaay to advanced for me

[@rinnformatics5606]

I am sorry to hear that,, but I still think you can do it ! It will help a lot if you do all the previous lesson in Lv5 - if you already did maybe just stick to the counts tables that covers all the lessons except the one you mentioned ! Also the counts table to load are now ready for counts and TPM they are here: lncrna.io/teaching Enjoy John Rinn