There might be a lot of files stored on your computer after you’ve taken the course, depending on how many modules you’ve gone through. Here are instructions for how to remove them.
All the tutorials depend on you cloning the workshop-reproducible-research
GitHub repo. This can be removed like any other directory; via Finder, Explorer or rm -rf workshop-reproducible-research
. Note that this will also delete hidden directories such as .git
, which contains the history of the repo.
1 Conda
Several of the tutorials use Conda for installing packages. This amounts to about 2.6 GB if you’ve done all the tutorials. If you plan on using Conda in the future you can remove just the packages, or you can remove everything including Conda itself.
In order to remove all your environments, you first need to list them:
conda env list
For each of the environments except “base” run the following:
conda remove -n <envname> --all
And, finally:
conda clean --all
If you also want to remove Conda itself (i.e. removing all traces of Conda), you should first reverse the installation, this part should be run with conda
:
conda init --reverse
Now find the path where Conda is installed. Look for the row “base environment”:
conda info | grep "base environment"
This should say something like:
base environment : /Users/<user>/condaforge (writable).
Then remove the entire Miniforge directory:
rm -rf /Users/<user>/miniforge3
2 Snakemake
Snakemake is installed via Conda and will be removed if you follow the instructions in the Conda section above. Note that Snakemake also generates a hidden .snakemake
directory in the directory where it’s run. You can remove this with the following:
rm -rf workshop-reproducible-research/tutorials/snakemake/.snakemake
3 Nextflow
Since we installed Nextflow using Conda we can remove it in the same way as above. You may also want to remove the results/
and work/
directories, which you can do like so:
rm -rf workshop-reproducible-research/tutorials/nextflow/results
rm -rf workshop-reproducible-research/tutorials/nextflow/work
4 Jupyter
Jupyter is installed via Conda and will be removed if you follow the instructions in the Conda section above.
5 Docker
Docker is infamous for quickly taking up huge amounts of space, and some maintenance is necessary every now and then. Here is how to uninstall Docker completely. Let’s start by removing individual images and containers:
# Remove unused images
docker image prune
# Remove stopped containers
docker container prune
# Remove unused volumes (not used here, but included for reference)
docker volume prune
# Stop and remove ALL containers
docker container rm $(docker container ls -a -q)
# Remove ALL images
docker image rm $(docker image ls -a -q)
Removing Docker itself works differently on the three operating systems, which is described below:
5.1 MacOS
Click the Docker icon in the menu bar (upper right part of the screen) and select “Preferences”. In the upper right corner, you should find a little bug icon. Click on that icon and select “Reset to factory defaults”. You may have to fill in your password. Then select “Uninstall”. Once it’s done uninstalling, drag the Docker app from Applications to Trash.
5.2 Linux
If you’ve installed Docker with apt-get
, uninstall it like this:
apt-get purge docker-ce
Images, containers, and volumes are not automatically removed. To delete all of them:
rm -rf /var/lib/docker
5.3 Windows
Uninstall Docker for Windows (on Windows 10) or Docker Toolbox (on Windows 7) via Control Panel > Programs > Programs and Features. Docker Toolbox will also have installed Oracle VM VirtualBox, so uninstall that as well if you’re not using it for other purposes.