Public | Automated Build

Last pushed: 5 months ago
Short Description
Linux env with Python, Nipype, FSL and AFNI and some very nice interactive notebooks to learn Nipype
Full Description

Nipype Tutorial Notebooks

This is the Nipype Tutorial in Notebooks. There are multiple ways of how you can profit from this tutorial:

  1. Nipype Tutorial Homepage: You can find all notebooks used in this tutorial on this homepage.
  2. Nipype Course: Run the notebooks of this tutorial in an interactive docker image and on real example data. The nipype course is the best interactive way to learn Nipype.
  3. Your own Nipype environment: The Dockerfiles for the nipype course are based on the level3 version of the Nipype Environment. If you want to use docker for your own analysis, that is not based on some example dataset, you can adapt the Dockerfile from this tutorial to the level that you need, and than run it on your own system.

Feedback, Help & Support

If you want to help with this tutorial or have any questions, fell free to fork the repo of the Notebooks or interact with other contributors on the slack channel brainhack.slack.com/messages/nipype/. If you have any questions or found a problem, open a new issue on github.

Thanks and Acknowledgment

A huge thanks to Michael Waskom, Oscar Esteban, Chris Gorgolewski and Satrajit Ghosh for their input to this tutorial!

Docker Pull Command
Owner
miykael
Source Repository

Comments (0)