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Updated SSOT/CI-based documentation for the Configurable Pipeline for the Analysis of Connectomes.

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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

This version of the C-PAC website is located here: https://fcp-indi.github.io/cpac-docs

Discussion Forum

If you are stuck and need help or have any other questions or comments about C-PAC please contribute to the C-PAC discussion forum on Neurostars.

Issue Trackers

This is a beta version of C-PAC, which means that it is still under active development. 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 an edit or new feature, please open an issue on one of our issue trackers.

If you would like to suggest revisions to the user documentation, please open an issue on the C-PAC website's GitHub issue tracker.

Editing

See CONTRIBUTING for editing and contributing guidelines.

Contributors

Tamsin Rogers
Tamsin Rogers

💻 🤔 🚇
Steve Giavasis
Steve Giavasis

🤔
Jon Cluce
Jon Cluce

🤔 🔧
birajstha
birajstha

🤔

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Updated SSOT/CI-based documentation for the Configurable Pipeline for the Analysis of Connectomes.

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