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资源说明：Configurable Pipeline for the Analysis of Connectomes
C-PAC: Configurable Pipeline for the Analysis of Connectomes ============================================================ [](https://doi.org/10.1101/2021.12.01.470790) [](https://doi.org/10.5281/zenodo.164638) 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 and here: https://github.com/FCP-INDI/.github/blob/primary/CONTRIBUTING.md 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://groups.google.com/forum/#!forum/cpax_forum 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
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