Published February 20, 2019
| Version v1.4.0
Software
Open
FCP-INDI/C-PAC: CPAC Version 1.4.0 Beta
Creators
- Steve Giavasis1
- Daniel Clark2
- Anibal Sólon1
- nrajamani3
- Ranjit
- Sharad Sikka3
- Zarrar Shehzad4
- John Pellman5
- Caroline Froehlich
- Ranjit Khanuja
- Brian Cheung6
- Cameron Craddock7
- Floris van Vugt
- Sebastian Urchs
- James Kent8
- Ilkay Isik9
- Daniel Lurie10
- Yaroslav Halchenko11
- Adam Liska12
- Rosalia Tungaraza
- joshua vogelstein13
- Asier Erramuzpe
- Aimi Watanabe
- Dan Kessler14
- Chris Gorgolewski15
- 1. Child Mind Institute
- 2. @LiveRamp
- 3. CYAN INC
- 4. Yale University
- 5. Columbia University Libraries @cul
- 6. UC Berkeley
- 7. Dell Medical School, University of Texas, Austin
- 8. @HBClab
- 9. Max Planck Institute for Empirical Aesthetic
- 10. University of California, Berkeley
- 11. Dartmouth College, @Debian, @DataLad, @PyMVPA, @fail2ban
- 12. University of Trento
- 13. johns hopkins university
- 14. University of Michigan
- 15. Stanford University
Description
Ease of Use
- Quick Start Guide. By pulling our Docker or Singularity container, you can kick off C-PAC with your dataset in minutes, without any prior package or library installations other than Docker or Singularity. More info available on our User Guide.
- Find it here: http://fcp-indi.github.io/docs/user/quick.html
New Features
- Turnkey Mode. For users who prefer not to make decisions regarding their pipeline, C-PAC now includes a pre-configured default pipeline that includes the most commonly used decisions. The pre-configured pipeline selections are described in the Quick-start guide under "Running Turnkey Mode".
- Nonparametric Permutation Inference. FMRIB's FSL Randomise has been integrated into C-PAC's suite of group-level analyses. You can use the already-existing FSL group-level presets or the group model builder to specify your model.
Improvements
- Early Access to the new C-PAC GUI. The first part of C-PAC's new graphical user interface (GUI) for generating and editing custom pipelines is available! All are encouraged to take a quick test-drive of the pipeline builder and let us know your thoughts. All feedback welcome on our forum.
- Get started: http://fcp-indi.github.io/docs/user/new_gui.html
- Group Model-Building Modularity. As part of an ongoing process of improving usability, C-PAC's group-level analysis model builder now offers more control over your model design. It is now easier to review changes to your design matrix before specifying contrasts.
- More info here: http://fcp-indi.github.io/docs/user/group_fsl_feat.html
Error Fixes
- An error preventing users from running only anatomical preprocessing has been fixed.
- An error in the Unpaired Two-Group Difference preset of the FSL Group Model Presets, which was causing certain covariate labels to occasionally be formatted improperly, has been fixed.
Coming Soon (Release 1.5 early 2019)
- More denoising options
- Quasi-periodic pattern (QPP) identification
- New Graphical User Interface (GUI) Upgrade
- Further modularity & usability improvements
Files
FCP-INDI/C-PAC-v1.4.0.zip
Files
(29.1 MB)
Name | Size | Download all |
---|---|---|
md5:3b7d778b7999d5c0cf5d256cf40a1f91
|
29.1 MB | Preview Download |
Additional details
Related works
- Is supplement to
- https://github.com/FCP-INDI/C-PAC/tree/v1.4.0 (URL)