docker image for the Pathways and Network Analysis CBW workshop
672
It is a base image built from bioc 3.19 , and R v4.4. For more info on bioconductor dockers see here or bioc 3.19 release notes,
and we added the set of packages:
To run this image run the following:
docker run -v "$(pwd)":/home/rstudio/projects -e PASSWORD=password -p 8787:8787
--add-host "localhost:###.###.###.###" risserlin/workshop_base_image:bioc3_19_R4_4
Update the localhost to map to your current IP address.
map your current working directory to the docker. (If you are using the cytoscpae workflow examples use "$(pwd)"/Cytoscape_workflows as the base directory).
Once the container is running, in your web browser, go to localhost:8787 and login with the username=rstudio , password=password
It is a base image built from bioc 3.16 , and R v4.2. For more info on bioconductor dockers see here or bioc 3.16 release notes,
and we added the set of packages:
To run this image run the following:
docker run -v "$(pwd)":/home/rstudio/projects -e PASSWORD=password -p 8787:8787
--add-host "localhost:###.###.###.###" risserlin/workshop_base_image:bioc3_16_R4_2
Update the localhost to map to your current IP address.
map your current working directory to the docker. (If you are using the cytoscpae workflow examples use "$(pwd)"/Cytoscape_workflows as the base directory).
Once the container is running, in your web browser, go to localhost:8787 and login with the username=rstudio , password=password
Content type
Image
Digest
sha256:b517a7b0e…
Size
2.2 GB
Last updated
over 1 year ago
docker pull risserlin/workshop_base_image