Python packages for scRNA-seq data analysis for the Immune Reference Map
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To use this container after pulling you have to run the following command (you might need sudo privileges):
docker run -it --rm -p 7777:7777 -p 7878:7878 \
--volume $HOME:/home/host_home \
--workdir /home/host_home \
--entrypoint /usr/bin/bash \
--user root \
gnasello/scimm-env:latest
Command shortcut to start jupyter lab inside the container:
jl
Command shortcut to start RStudio Server inside the container:
rs
To login in RStudio server use the following credentials:
username: rstudio
password: rstudio
You will create new files and directories as root. Thus, if you want to allow any further user to access everything you created in the current directory, type the following command:
chmod -R 777 ./
Docker container built on gabnasello/datascience-env
Conda environments added:
scImm
name: scImm
channels:
- conda-forge
dependencies:
- python=3.8
- leidenalg
- pip
- pip:
# works for regular pip packages
- scarches
- protobuf==3.20.1
You find instructions to build this Docker Image in this GitHub page.
Content type
Image
Digest
Size
2.7 GB
Last updated
over 4 years ago
docker pull gnasello/scimm-env