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@ktpolanski proposed to streamline the pre-processing step to something like a module/wrapper so that a user can essentially do something like: container run dandelion-preprocess -o [OPTIONS] on/this/folder/here
This should solve some of the installation issues that required 'advanced' knowledge of how to set up a working R, python environment that pointed to the dependencies and reference databases.
Reference databases and environmental variables are also set-up so no need to mess around with profile scripts.
Can add in a option to specify user-supplied database to overwrite the container's
This needs a clever system to do multi-sample preprocessing, especially for the reassign_alleles step
current proposal is to have a text file containing columns specifying the sample id, prefixes/suffixes to add to the fasta and a column indicating if a sample is meant to be combined for reassign_alleles or not.
trim back on softwares
the image might be too big (1.5gb) and i should look into removing some potentially unnecessary softwares for the build.
I think it probably won't change much though because gcc is required to build the R packages.
How does one set this up? hmm.
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