Welcome to nf-scil
! A Nextflow modules and workflows repository for neuroimaging
maintained by the SCIL team. The
primary focus of the library is to provide pre-built processes and processing sequences for
diffusion Magnetic Resonance Imaging, optimized for Nextflow DLS2, based on open-source
technologies and made easily available to pipeline's developers through the nf-core
framework.
- Using modules from nf-scil
- Developing in nf-scil
To import modules from nf-scil
, you first need to install nf-core
on your system (can be done simply using pip install nf-core
). Once done, nf-scil
modules are imported using this command :
nf-core modules \
--git-remote https://github.com/scilus/nf-scil.git \
install <category>/<tool>
where you input the <tool>
you want to import from the desired <category>
. To get
a list of the available modules, run :
nf-core modules \
--git-remote https://github.com/scilus/nf-scil.git \
list remote
- Python ≥ 3.8, < 3.13
- Java Runtime ≥ 11, ≤ 17
- On Ubuntu, install
openjdk-jre-<version>
packages
- On Ubuntu, install
- Nextflow ≥ 21.04.3
- Node ≥ 14 and Prettier (seel below)
Important
Nextflow might not detect the right Java virtual machine
by default, more so if
multiple versions of the runtime are installed. If so, you need to set the environment
variable JAVA_HOME
to target the right one.
- Linux : look in
/usr/lib/jvm
for a folder namedjava-<version>-openjdk-<platform>
and use it asJAVA_HOME
. - MacOS : if the
Java jvm
is the preferential one, useJAVA_HOME=$(/usr/libexec/java_home)
. Else, look into/Library/Java/JavaVirtualMachines
for the folder with the correct runtime version (namedjdk<inner version>_1<runtime version>.jdk
) and use the following :/Library/Java/JavaVirtualMachines/dk<inner version>_1<runtime version>.jdk/Contents/Home
.
The project uses poetry to manage python dependencies. To install it using pipx, run the following commands :
pip install pipx
pipx ensurepath
pipx install poetry
Note
If the second command above fails, pipx
cannot be found in the path. Prepend the
second command with $(which python) -m
and rerun the whole block.
Warning
Poetry doesn't like when other python environments are activated around it. Make
sure to deactivate any before calling poetry
commands.
Once done, install the project with :
poetry install
Important
Make sure no python environment is activated before running commands !
The project scripts and dependencies can be accessed using :
poetry shell
which will activate the project's python environment in the current shell.
Note
You will know the poetry environment is activated by looking at your shell. The
input line should be prefixed by : (nf-scil-tools-py<version>)
, with <version>
being the actual Python version used in the environment.
To exit the environment, simply enter the exit
command in the shell.
Important
Do not use traditional deactivation (calling deactivate
), since it does not relinquish
the environment gracefully, making it so you won't be able to reactivate it without
exiting the shell.
First install the nf-scil-extensions
package. You can find it easily on the extension
marketplace.
The devcontainer
definition for the project contains all required dependencies and setup
steps are automatically executed. Open the cloned repository in VS Code and click on the
arrow box in the lower left corner, to get a prompt to Reopen in container
. The procedure
will start a docker build, wait for a few minutes and enjoy your fully configured development
environment.
-
Available in the container :
nf-scil
,nf-core
all accessible through the terminal, which is configured to load thepoetry
environment in shells automaticallygit
,git-lfs
,github-cli
curl
,wget
,apt-get
nextflow
,docker
,tmux
-
Available in the VS Code IDE through extensions :
- Docker images and containers management
- Python and C++ linting, building and debugging tools
- Github Pull Requests management
- Github flavored markdown previewing
If you want to propose a new module
to the repository, follow the guidelines in the
module creation documentation. we follow standards closely
aligned with nf-core
, with some exceptions on process atomicity and how test data is
handled. Modules that don't abide to them won't be accepted and PR containing them will
be closed automatically.
Tests are run through nf-core
, using the command :
nf-core modules \
--git-remote https://github.com/scilus/nf-scil.git \
test <category/tool>
The tool can be omitted to run tests for all modules in a category.
To install Prettier for the project, you need to have node
and npm
installed on your system to at least version 14. On Ubuntu, you can do it using snap :
sudo snap install node --classic
However, if you cannot install snap, or have another OS, refer to the official documentation for the installation procedure.
Under the current configuration for the Development Container, for this project, we use the following procedure, considering ${NODE_MAJOR}
is at least 14 for Prettier :
curl -fsSL https://deb.nodesource.com/setup_${NODE_MAJOR}.x | bash - &&\
apt-get install -y nodejs
npm install --save-dev --save-exact prettier
echo "function prettier() { npm exec prettier $@; }" >> ~/.bashrc