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heiniglab / scPower

Experimental design framework for scRNAseq population studies (eQTL and DE)
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Publishing package to conda #25

Open Cem-Gulec opened 1 year ago

Cem-Gulec commented 1 year ago

This might be very helpful for other researchers possibly need a workaround if they are having trouble setting the package up in an R environment. One other alternative would be dockerizing the project, or doing both. Publishing it on conda is an ease of installation for end-users. Dockerizing it would ensure consistent behavior across all environments.

KatharinaSchmid commented 1 year ago

In general yes. But I think Bioconductor is the best place to submit our package to (I don't think that submitting it directly to conda would work). I have no experience with this, but feel free to do that, Cem ;)

Cem-Gulec commented 1 year ago

One time Korbinian had some problems with Bioconductor, this could be a workaround to his problem. I also have no experience, but this sounded interesting when we discussed.