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User: stefanie.graindorge

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Posts by stefanie.graindorge

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Comment: C: DEseq2 - minimum number of genes
... Oh so bad idea :( So in summary, I will check if there is a peak of genes around LFC 0 and if this is the case I can assume the analysis will be ok. And if not I will have to see how to normalise the data differently to compare the samples. Thanks a lot for your quick answers.   ...
written 4 months ago by stefanie.graindorge0
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Comment: C: DEseq2 - minimum number of genes
... I can't say for sure. There will probably be some genes with LFC around 0. It is a new experiment and we have no clue about how these genes are going to behave between the two conditions... Do you think we should add some "fake" counts with a LFC of 0 to better fit the null hypothesis of DEseq2 ? ...
written 4 months ago by stefanie.graindorge0
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DEseq2 - minimum number of genes
... Hi all, I will have to perform a differential expression analysis on RNA-seq data obtained from purified chloroplasts. That means that the mapping will be done on the chloroplastic genome (around 80 genes) and so the DE analysis. I was wondering if there is a minimum number of genes to be conside ...
deseq2 written 4 months ago by stefanie.graindorge0 • updated 4 months ago by Michael Love22k

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