Dear all,
I wish to use DESeq to analyse a RNAseq dataset composed of 16 libraries under a design with two crossed fixed factors (2 levels each) and a random factor (pop). In other words, I xwould like to apply function nbinomGLMTest with the following design:
count~factor1*factor2 +1|pop
Alternatively, if random factors cannot be accounted for, I might apply:
count~factor1 * factor2 + factor2/pop
How should I prepare the datafile for such a design? Is there a possibility to include columns to assign counts to the factors levels?
Should I normalize considering all combinations of the two fixed factors (4 conditions in all)?
Thanks in advance for any help
Marie-Agnès
I wish to use DESeq to analyse a RNAseq dataset composed of 16 libraries under a design with two crossed fixed factors (2 levels each) and a random factor (pop). In other words, I xwould like to apply function nbinomGLMTest with the following design:
count~factor1*factor2 +1|pop
Alternatively, if random factors cannot be accounted for, I might apply:
count~factor1 * factor2 + factor2/pop
How should I prepare the datafile for such a design? Is there a possibility to include columns to assign counts to the factors levels?
Should I normalize considering all combinations of the two fixed factors (4 conditions in all)?
Thanks in advance for any help
Marie-Agnès
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