brc_pipeline
The BRC Pipeline scripts are being released for processing magnetic resonance imaging (MRI) data. This processing pipeline could be applied to different modalities such as T1w/T2w MRI, diffusion MRI, and functional MRI datasets.
Science Score: 57.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 6 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Academic email domains
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✓Institutional organization owner
Organization spmic-uon has institutional domain (www.nottingham.ac.uk) -
○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (11.4%) to scientific vocabulary
Repository
The BRC Pipeline scripts are being released for processing magnetic resonance imaging (MRI) data. This processing pipeline could be applied to different modalities such as T1w/T2w MRI, diffusion MRI, and functional MRI datasets.
Basic Info
Statistics
- Stars: 16
- Watchers: 7
- Forks: 2
- Open Issues: 0
- Releases: 71
Metadata Files
README.md
BRC Pipeline
BRC Pipeline
The BRC Pipeline scripts are being released for processing magnetic resonance imaging (MRI) data. This processing pipeline could be applied to different modalities such as T1w/T2w MRI, diffusion MRI, and functional MRI datasets. Also, it can be used for functional connectivity and network analysis.
Installation
The instruction of step by step installation is available at the Release Notes, Installation, and Usage document for the current release.
Support
Before contacting us, please try the following:
- The wiki has tutorials on how to install and run the pipeline for different modalities.
- Common issues are described in the FAQ If that doesn't work, you can get in touch with us!
How do I cite the pipeline?
Each version of the pipeline has its own DOI. The above shiny badge shows the DOI of the last version. However, by clicking on this badge, you can find different DOIs of different versions. You can cite all versions by using the DOI 10.5281/zenodo.3624973. This DOI represents all versions, and will always resolve to the latest one.
Cite as:
Ali-Reza Mohammadi-Nejad, Stefan Pszczolkowski, Dorothee Auer, Stamatios Sotiropoulos. Multi-modal neuroimaging pipelines for data preprocessing. Zenodo. http://doi.org/10.5281/zenodo.3624973
Versions
- See the versions history page for details on releases.
Owner
- Name: SPMIC
- Login: SPMIC-UoN
- Kind: organization
- Location: The University of Nottingham
- Website: https://www.nottingham.ac.uk/research/groups/spmic/index.aspx
- Repositories: 10
- Profile: https://github.com/SPMIC-UoN
The Sir Peter Mansfield Imaging Centre
GitHub Events
Total
- Release event: 3
- Watch event: 2
- Push event: 3
- Gollum event: 1
- Create event: 3
Last Year
- Release event: 3
- Watch event: 2
- Push event: 3
- Gollum event: 1
- Create event: 3