FMRIprep 20.0.6-foss-2019a-Python-3.7.2

Unsupported: Use of this version of FMRIprep is not supported. More information on our Applications Support and Retention Policy.

There is a newer version of FMRIprep

FMRIprep is a functional magnetic resonance imaging (fMRI) data preprocessing pipeline that is designed to provide an easily accessible, state-of-the-art interface that is robust to variations in scan acquisition protocols and that requires minimal user input, while providing easily interpretable and comprehensive error and output reporting.

Accessing FMRIprep 20.0.6-foss-2019a-Python-3.7.2

To load the module for FMRIprep 20.0.6-foss-2019a-Python-3.7.2 please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):

module load bear-apps-unsupported/handbuilt/2019
module load FMRIprep/20.0.6-foss-2019a-Python-3.7.2

BEAR Apps Version

2019h

Extensions

  • bids-validator-1.5.2
  • fmriprep 20.0.6
  • indexed_gzip 1.1.0
  • lockfile 0.12.2
  • niflow-nipype1-workflows-0.0.4
  • nilearn 0.6.2
  • nitime 0.8.1
  • niworkflows 1.1.12
  • num2words 0.5.10
  • patsy 0.5.1
  • pybids 0.9.5
  • sdcflows 1.2.2
  • sklearn 0.0
  • smriprep 0.5.2
  • SQLAlchemy 1.3.16
  • svgutils 0.3.1
  • tedana 0.0.8
  • templateflow 0.5.2
  • transforms3d 0.3.1
  • versioneer 0.18

More Information

For more information visit the FMRIprep website.

Dependencies

This version of FMRIprep has a direct dependency on: AFNI/18.3.00-foss-2019a-Python-3.7.2 ANTs/3d41647-foss-2019a-Python-3.7.2 C3D/1.0.0 ConnectomeWorkbench/1.3.2-GCCcore-8.2.0 foss/2019a FreeSurfer/6.0.1-centos6_x86_64 FSL/5.0.11-foss-2019a-Python-3.7.2 ICA-AROMA/0.4.4-beta-foss-2019a-Python-3.7.2 Nipype/1.4.2-foss-2019a-Python-3.7.2 Python/3.7.2-GCCcore-8.2.0 PyYAML/5.1-GCCcore-8.2.0 scikit-image/0.15.0-foss-2019a-Python-3.7.2 scikit-learn/0.20.3-foss-2019a Seaborn/0.9.0-foss-2019a-Python-3.7.2 tqdm/4.33.0-foss-2019a-Python-3.7.2

Other Versions

These versions of FMRIprep are available on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs). These will be retained in accordance with our Applications Support and Retention Policy.

Last modified on 28th April 2020