Metadata-Version: 2.4
Name: xnatqa
Version: 0.0.12
Summary: A workflow for automatically labeling and running QA on MRI scans within XNAT
Author-email: Kyle Kurkela <kkurkela@bu.edu>
License-Expression: MIT
Project-URL: Homepage, https://github.com/kakurk/auto_labeler
Project-URL: Issues, https://github.com/kakurk/auto_labeler/issues
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: xnattagger
Requires-Dist: yaxil
Requires-Dist: pyyaml
Requires-Dist: glob2
Dynamic: license-file

# xnatqa

A workflow built on top of the BOLDQC, ANATQC, yaxil, and xnattager packages from Harvard.

The goal of this workflow is to automatically tag all scans in a newly created scanning session within an XNAT instance as BOLD or ANAT and then automatically launching the BOLDQC and ANATQC routines for the respective scan types.

Please see BOLDQC, ANATQC, yaxil, and xnattager for more information.

BOLDQC and ANATQC are implemented as singularity containers that are housed as modules on the SCC. Recipies for building those containers can be found here and here.
