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## micapipe/0.1.2 ## | ||
Short_description_of_container | ||
## micapipe/toolVersion ## | ||
Micapipe is a processing pipeline providing a robust framework to analyze multimodal MRI data. This pipeline integrates processing streams for T1-weighted, microstructure-sensitive, diffusion-weighted, and resting-state functional imaging to facilitate the development of multiscale models of neural organization. For this purpose, we leverage several specialized software packages to bring BIDS-formatted raw MRI data to fully-processed surface-based feature matrices. | ||
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Example: | ||
``` | ||
micapipe -h | ||
``` | ||
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More documentation can be found here: link_to_documentation | ||
More documentation can be found here: (https://micapipe.readthedocs.io/en/latest/pages/01.whatyouneed/index.html) | ||
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To run applications outside of this container: ml micapipe/0.1.2 | ||
To make the executables and scripts inside this container transparently available in the command line of environments where Neurocommand is installed: ml micapipe/toolVersion | ||
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Citation: | ||
``` | ||
Raúl R. Cruces, Jessica Royer, Peer Herholz, Sara Larivière, Reinder Vos de Wael, Casey Paquola, Oualid Benkarim, Bo-yong Park, Janie Degré-Pelletier, Mark Nelson, Jordan DeKraker, Ilana Leppert, Christine Tardif, Jean-Baptiste Poline, Luis Concha, Boris C. Bernhardt. (2022). Micapipe: a pipeline for multimodal neuroimaging and connectome analysis. NeuroImage, 2022, 119612, ISSN 1053-8119. doi: https://doi.org/10.1016/j.neuroimage.2022.119612 | ||
``` | ||
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License: | ||
Copyright 2022, micapipe Revision c403161d. | ||
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# this file should contain a functional test of the tool that makes it possible to test if everything was correctly installed | ||
micapipe --help |