Dear Gordon,
Thanks for you reply!
I have done a MDS plots and BCV plot already (according to the manual).
Will this suffice?
Dear all,
I am conducting a QuantSeq analysis and in the manuals I find online one of the steps include making an MD-plot for every sample. This is considered data exploration as well as a quality control check, this of course sounds very informative, but as I have 600 samples, making a plot for every sample will be a lot of work.
Is this a necessary step and if so, are there any other methods that I could try?
Kind regards,
Barista
No, it is not a necessary step. I am the author of the plotMD function (and of the plotMA function before that) but I definitely wouldn't use it as a data exploration tool with 600 samples. The edgeR workflows and edgeR User's Guide illustrate more streamlined data exploration tools.
Dear Gordon,
Thanks for you reply!
I have done a MDS plots and BCV plot already (according to the manual).
Will this suffice?
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You can use Rscript to automate analysis like this, and save each to a file.
This might help get you started:
https://stackoverflow.com/questions/3301694/running-r-scripts-with-plots
Else, if you don't like that, then you can try a for loop in R saving each to a PDF.