DESeq2 different datasets
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@sconosciuto-24102
Last seen 4.2 years ago

Hi all, we performed a RNA seq experiment to compare the same cell line treated with drug1 and drug2. Now we decided to compare these expression profiles to expression profile from untreated cell line but I am confused about the right approach. I would proceed by creating two different count matrices from salmon results, then merge them and import the final one in deseq2 (DESeqDataSetFromMatrix) considering to include in the final design formula the experiments from where the samples come from (design = ~condition + experiment ). Has it sense?

I tried to import with salmon all the files (those from drug1, drug2 and untreated) with tximport and to use a design formula considering the experiments (design = ~condition + experiment ). The point is that comparing drug1 vs drug2 return different results to those obtained by following the same approach but importing only salmon files from drug1 and drug2.

deseq2 • 907 views
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@mikelove
Last seen 1 day ago
United States

If you want to estimate two different effects, you would use ~experiment + experiment:condition, which will control for experiment differences at baseline and estimate two effects, see resultsNames(dds) afterward.

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Thanks for answering. Since now I am dealing with nested information in design formula I was considering to import with tximport only the drug1 qf files (coming from our experiments) and control qf files (downloaded). Then I can redo the same analysis importing only drug2 and control files. I think it is ok as workaround ..is it?

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You can do either. This is up to you as the analyst.

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Entering edit mode

Thanks for answering. Since now I am dealing with nested information in design formula I was considering to import with tximport only the drug1 qf files (coming from our experiments) and control qf files (downloaded). Then I can redo the same analysis importing only drug2 and control files. I think it is ok as workaround ..is it?

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