FMRIprep 1.5.1-foss-2019a-Python-3.7.2

There is a newer install 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 1.5.1-foss-2019a-Python-3.7.2

To load the module for FMRIprep 1.5.1-foss-2019a-Python-3.7.2 please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load FMRIprep/1.5.1-foss-2019a-Python-3.7.2

BEAR Apps Version

2019a

Architectures

EL8-cascadelake — EL8-icelake — EL8-sapphirerapids

The listed architectures consist of two part: OS-CPU. The OS used is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.

Extensions

  • bids-validator-1.2.4
  • duecredit 0.7.0
  • fmriprep 1.5.1
  • grabbit 0.2.6
  • indexed_gzip 0.8.10
  • lockfile 0.12.2
  • nilearn 0.4.2
  • nitime 0.8.1
  • niworkflows 1.0.0
  • num2words 0.5.10
  • pybids 0.9.5
  • sklearn 0.0
  • smriprep 0.4.0
  • SQLAlchemy 1.3.11
  • svgutils 0.3.0
  • templateflow 0.4.1
  • 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 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/1.1.3-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 statsmodels/0.10.1-foss-2019a

Other Versions

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

Last modified on 29th November 2019