Skip to content
/ C-PAC Public
forked from briancheung/C-PAC

Configurable Pipeline for the Analysis of Connectomes

License

Notifications You must be signed in to change notification settings

mattfeld/C-PAC

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

============================================================ C-PAC: Configurable Pipeline for the Analysis of Connectomes

DOI

A configurable, open-source, Nipype-based, automated processing pipeline for resting state fMRI data. Designed for use by both novice users and experts, C-PAC brings the power, flexibility and elegance of Nipype to users in a plug-and-play fashion; no programming required.

Website

The C-PAC website is located here: http://fcp-indi.github.com/

Installation

Installation instructions can be found within the user documentation: http://fcp-indi.github.io/docs/user/install.html

Documentation

User documentation can be found here: http://fcp-indi.github.com/docs/user/index.html

Developer documentation can be found here: http://fcp-indi.github.com/docs/developer/index.html

Discussion Forum

If you are stuck and need help or have any other questions or comments about C-PAC, there is a C-PAC discussion forum here: https://groups.google.com/forum/#!forum/cpax_forum

Issue Tracker and Bugs

This is an alpha version of C-PAC, which means that it is still under active development. As such, although we have done our best to ensure a stable pipeline, there will likely still be a few bugs that we did not catch. If you find a bug or would like to suggest a new feature, please open an issue on the the C-PAC Github issue tracker: https://github.com/FCP-INDI/C-PAC/issues?state=open

If you would like to suggest revisions to the user documentation, please open an issue on the C-PAC website's Github issue tracker: https://github.com/FCP-INDI/fcp-indi.github.com/issues

About

Configurable Pipeline for the Analysis of Connectomes

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Python 94.4%
  • HTML 3.5%
  • JavaScript 1.5%
  • Other 0.6%