Examples#
This page includes examples of using Neurodocker to build containers with popular neuroimaging packages. The commands generate Dockerfiles. To generate Singularity recipes, simply replace
neurodocker generate docker
with
neurodocker generate singularity
To see the options for each package, please run
neurodocker generate docker --help
or
neurodocker generate singularity --help
Note
Neurodocker is meant to create command-line environments. At the moment, graphical user interfaces (like FreeView and FSLEyes) are not installed properly. It is possible that this will change in the future.
FSL#
Docker#
neurodocker generate docker \
--pkg-manager apt \
--base-image debian:buster-slim \
--fsl version=6.0.4 \
> fsl604.Dockerfile
docker build --tag fsl:6.0.4 --file fsl604.Dockerfile .
# Run fsl's bet program.
docker run --rm -it fsl:6.0.4 bet
AFNI#
Docker#
neurodocker generate docker \
--pkg-manager apt \
--base-image debian:buster-slim \
--afni method=binaries version=latest \
> afni-binaries.Dockerfile
docker build --tag afni:latest --file afni-binaries.Dockerfile .
This does not install AFNI’s R packages. To install relevant R things, use the following:
neurodocker generate docker \
--pkg-manager apt \
--base-image debian:buster-slim \
--afni method=binaries version=latest install_r_pkgs=true \
> afni-binaries-r.Dockerfile
docker build --tag afni:latest-with-r --file afni-binaries-r.Dockerfile .
One can also build AFNI from source. The code below builds the current master branch. Beware that this is AFNI’s bleeding edge!
neurodocker generate docker \
--pkg-manager apt \
--base-image debian:buster-slim \
--afni method=source version=master \
> afni-source.Dockerfile
docker build --tag afni:master --file afni-source.Dockerfile .
FreeSurfer#
Docker#
The FreeSurfer installation is several gigabytes in size, but sometimes, users just
the pieces for recon-all
. For this reason, Neurodocker provides a FreeSurfer
minified for recon-all
.
neurodocker generate docker \
--pkg-manager apt \
--base-image debian:buster-slim \
--freesurfer version=7.1.1-min \
> freesurfer7-min.Dockerfile
docker build --tag freesurfer:7.1.1-min --file freesurfer7-min.Dockerfile .
ANTS#
neurodocker generate docker \
--pkg-manager apt \
--base-image debian:buster-slim \
--ants version=2.3.4 \
> ants-234.Dockerfile
docker build --tag ants:2.3.4 --file ants-234.Dockerfile .
CAT12 —
CAT12 requires the MCR in the correction version. Miniconda and nipype is optional but recommended to use CAT12 from NiPype.
neurodocker generate docker \
--base-image ubuntu:16.04 \
--pkg-manager apt \
--mcr 2017b \
--cat12 version=r1933_R2017b \
--miniconda \
version=latest \
conda_install='python=3.8 traits nipype numpy scipy h5py scikit-image' \
> cat12-r1933_R2017b.Dockerfile
docker build --tag cat12:r1933_R2017b --file cat12-r1933_R2017b.Dockerfile .
SPM#
Note
Due to the version of the Matlab Compiler Runtime used, SPM12 should be used with a Debian Stretch base image.
neurodocker generate docker \
--pkg-manager apt \
--base-image debian:stretch-slim \
--spm12 version=r7771 \
> spm12-r7771.Dockerfile
docker build --tag spm12:r7771 --file spm12-r7771.Dockerfile .
Miniconda#
Docker with new conda
environment, python packages installed with conda
and pip
.
neurodocker generate docker \
--pkg-manager apt \
--base-image debian:buster-slim \
--miniconda \
version=latest \
env_name=env_scipy \
env_exists=false \
conda_install=pandas \
pip_install=scipy \
> conda-env.Dockerfile
docker build --tag conda-env --file conda-env.Dockerfile .
Nipype tutorial#
Docker#
neurodocker generate docker \
--pkg-manager apt \
--base-image neurodebian:stretch-non-free \
--arg DEBIAN_FRONTEND=noninteractive \
--install convert3d ants fsl gcc g++ graphviz tree \
git-annex-standalone vim emacs-nox nano less ncdu \
tig git-annex-remote-rclone octave netbase \
--spm12 version=r7771 \
--miniconda \
version=latest \
conda_install="python=3.8 pytest jupyter jupyterlab jupyter_contrib_nbextensions
traits pandas matplotlib scikit-learn scikit-image seaborn nbformat
nb_conda" \
pip_install="https://github.com/nipy/nipype/tarball/master
https://github.com/INCF/pybids/tarball/master
nilearn datalad[full] nipy duecredit nbval" \
--run 'jupyter nbextension enable exercise2/main && jupyter nbextension enable spellchecker/main' \
--run 'mkdir /data && chmod 777 /data && chmod a+s /data' \
--run 'mkdir /output && chmod 777 /output && chmod a+s /output' \
--user neuro \
--run-bash 'cd /data
&& datalad install -r ///workshops/nih-2017/ds000114
&& cd ds000114
&& datalad update -r
&& datalad get -r sub-01/ses-test/anat sub-01/ses-test/func/*fingerfootlips*' \
--run 'curl -fL https://files.osf.io/v1/resources/fvuh8/providers/osfstorage/580705089ad5a101f17944a9 -o /data/ds000114/derivatives/fmriprep/mni_icbm152_nlin_asym_09c.tar.gz
&& tar xf /data/ds000114/derivatives/fmriprep/mni_icbm152_nlin_asym_09c.tar.gz -C /data/ds000114/derivatives/fmriprep/.
&& rm /data/ds000114/derivatives/fmriprep/mni_icbm152_nlin_asym_09c.tar.gz
&& find /data/ds000114/derivatives/fmriprep/mni_icbm152_nlin_asym_09c -type f -not -name ?mm_T1.nii.gz -not -name ?mm_brainmask.nii.gz -not -name ?mm_tpm*.nii.gz -delete' \
--copy . "/home/neuro/nipype_tutorial" \
--user root \
--run 'chown -R neuro /home/neuro/nipype_tutorial' \
--run 'rm -rf /opt/conda/pkgs/*' \
--user neuro \
--run 'mkdir -p ~/.jupyter && echo c.NotebookApp.ip = \"0.0.0.0\" > ~/.jupyter/jupyter_notebook_config.py' \
--workdir /home/neuro/nipype_tutorial \
--entrypoint jupyter-notebook \
> nipype-tutorial.Dockerfile
docker build --tag nipype-tutorial .