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C-PAC: Configurable Pipeline for the Analysis of Connectomes

DOI for "Moving Beyond Processing and Analysis-Related Variation in Neuroscience" DOI for "FCP-INDI/C-PAC: CPAC Version 1.0.0 Beta"

LGPL

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: https://fcp-indi.github.io/

How to Run

Instructions can be found within our quick-start guide: https://fcp-indi.github.io/docs/latest/user/quick

Documentation

User documentation can be found here: https://fcp-indi.github.io/docs/latest/user

Developer documentation can be found here: https://fcp-indi.github.io/docs/latest/developer

Documentation pertaining to this latest release can be found here: https://fcp-indi.github.io/docs/latest/user/release_notes/latest

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://neurostars.org/tag/cpac

Issue Tracker and Bugs

This is a beta 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.io/issues