Multifactor Designs in DESeq2

This video will talk about advanced conditions and designs for differential expression analysis in DESeq2.
Created by: Sam Hunter 2022.
This video is part of the DnA Lab short read sequencing workshop run every summer in Boulder, Colorado. For more information go to dna.colorado.edu/education.html.

[@user-iy3dz8le6o]

Is day 7 where dispersion and other estimates explained uploaded anywhere? I would love to see know what is explained there.

[@hhhh56hh545]

hi, very well explained, thanks.
question:
I have a set of data which has this condition:
1. severe drought in short time
2. severe drought in long time
3. mild drought in short time
4. mild drought in long time
now, I want to make a meta data but I'm not sure whether I should make one single column which contains all the conditions and their controls
or I should make separate columns for short + long + severe + mild
any suggestion would be appreciated.

[@user-kh3zh4zq5k]

Hey! I also have similar case. Did you find a way to design your conditions? Thanks in advance!

[@xenial8605]

Hello! Thank you for your video this topic is definitely cause for confusion. I am stuck on chapter 8 and hoping you could clarify where my thinking error is?
I have an RNASeq exp with 3 time points and 3 treatment types+a control(DMSO).
I run DESeq() as below twice, once using the 24hour as a reference point and once for the 48hour.
I believe I should be extracting the same result below as you explain in your video (here treatment effect "Ibr" at 48 hours), but the results differ.
design