pegi3s/r_sva
SVA (https://www.bioconductor.org/packages/release/bioc/html/sva.htm) docker image.
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This image allows the usage of the SVA Bioconductor package, a package that contains several functions for removing batch effects and other unwanted variation in high-throughput experiment
The image includes, among others, the following packages:
r_sva
image in LinuxYou should adapt and run the following command: docker run --rm -it -v /your/data/dir:/data pegi3s/r_sva Rscript /data/script.R
In this command, you should replace:
/your/data/dir
to point to the directory that contains the input files you want to analyze and the R script to be executed.script.R
to the actual name of your script using sva (i.e. containing library("sva")
).r_sva
image in WindowsPlease note that data must be under the same drive than the Docker Toolbox installation (usually C:
) and in a folder with write permissions (e.g. C:/Users/User_name/
).
You should adapt and run the following command: docker run --rm -it -v "/c/Users/User_name/dir/":/data pegi3s/r_sva Rscript /data/script.R
docker pull pegi3s/r_sva