Launchcontainers: A Python tool for launching containerized analysis on HPC #44
Labels
git_skills:1_commit_push
git_skills:2_branches_PRs
hub:donostia_esp
modality:DWI
modality:fMRI
modality:MRI
programming:documentation
programming:Python
project_development_status:2_releases_existing
project_tools_skills:familiar
project_type:coding_methods
project_type:documentation
project
status:web_ready
tools:BIDS
topic:reproducible_scientific_methods
Title
Launchcontainers: A Python tool for launching containerized analysis on HPC
Leaders
Yongning Lei
email: [email protected]
Collaborators
No response
Brainhack Global 2023 Event
Brainhack Donostia
Project Description
Launchcontainers is a Python-based program built to automatically launch containerlized MRI processing pipelines. This program takes one config.ymal file, one container.json file, and one subject-session-list.txt file as inputs. Using 1 line of bash command, it will automatically send jobs to HPC clusters regarding your computing demands.
This program is well-suited for multi-subject, multi-scan datasets. And it will save a lot of time if you need analysis your entire dataset with different parameters multiple times.
In future versions, we are trying to add more functionality to this repository so that you can launch all the MRI data analysis pipelines such as Heudiconv, fMRIprep, pRF pipelines and etc. Please keep track of this repo and if you have any questions or suggestions, don't hesitate to contact Gari: [email protected] and Tiger: [email protected]
Link to project repository/sources
https://github.com/garikoitz/launchcontainers
Goals for Brainhack Global
Good first issues
Add heudiconv garikoitz/launchcontainers#28
add instructions and link to code to do NORDIC preprocessing garikoitz/launchcontainers#32
Communication channels
https://mattermost.bcbl.eu/bhdonostia/channels/launchcontainer
Skills
Onboarding documentation
https://docs.google.com/document/d/1XMmMpp3w7i2o8wVyHv_kUgoTgYVJ7n-qvgIQilfEBEU/edit?usp=sharing
What will participants learn?
Data to use
I will prepare the converted nifti DWI scan folder in BIDS format and zipped it for use
Number of collaborators
3
Credit to collaborators
Project contributers will be listed in the launchcontainer repo
Image
Type
documentation coding_methods
Development status
2_releases_existing
Topic
reproducible_scientific_methods
Tools
BIDS
Programming language
Python
Modalities
DWI
Git skills
1_commit_push, 2_branches_PRs
Anything else?
No response
Things to do after the project is submitted and ready to review.
Hi @brainhackorg/project-monitors my project is ready!
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