test commit

Author: oesteban

.github/workflows/deploy.yml

@@ -39,6 +39,6 @@ jobs:
     - name: Deploy
       run: |
         cd www/
-        find . -type f -exec git add {} +
+        echo -e "a\n*\nq\n"|git add -i
         git commit -am "auto: deploy new website"
         git push

docs/index.md

@@ -1,27 +1,27 @@
 The current neuroimaging workflow has matured into a large chain of processing and analysis steps involving a large number of experts, across imaging modalities and applications.
-The development and fast adoption of [_fMRIPrep_][1] have revealed that neuroscientists need tools that simplify their research workflow, provide visual reports and checkpoints, and engender trust in the tool itself.
-The _NiPreps (NeuroImaging Preprocessing toolS)_ framework extends _fMRIPrep_'s approach and principles to new imaging modalities.
-The vision for _NiPreps_ is to provide end-users (i.e., researchers) with applications that allow them to perform quality control smoothly and to prepare their data for modeling and statistical analysis.
+The development and fast adoption of [*fMRIPrep*][1] have revealed that neuroscientists need tools that simplify their research workflow, provide visual reports and checkpoints, and engender trust in the tool itself.
+The *NiPreps (NeuroImaging Preprocessing toolS)* framework extends *fMRIPrep*'s approach and principles to new imaging modalities.
+The vision for *NiPreps* is to provide end-users (i.e., researchers) with applications that allow them to perform quality control smoothly and to prepare their data for modeling and statistical analysis.
 
 ## Projects
 
-  * [_fMRIPrep_][1] ([GitHub](https://github.com/poldracklab/fmriprep)): fMRI Preprocessing
-  * [_dMRIPrep_][6] ([GitHub](https://github.com/nipreps/dmriprep)): dMRI Preprocessing
-  * [_sMRIPrep_][7] ([GitHub](https://github.com/poldracklab/smriprep)): Structural MRI Preprocessing
-  * [_MRIQC_][8] ([GitHub](https://github.com/poldracklab/mriqc)): MRI quality control
-  * [_SDCflows_][5] ([GitHub](https://github.com/nipreps/sdcflows)): Susceptibility-derived distortion correction (SDC) workflows
-  * [_NiWorkflows_][4] ([GitHub](https://github.com/nipreps/niworkflows)): General/miscellaneous workflow utilities
-  * [_TemplateFlow_][9]: A registry of neuroimaging templates and spatial mappings between them.
+  * [*fMRIPrep*][1] ([GitHub](https://github.com/poldracklab/fmriprep)): fMRI Preprocessing
+  * [*dMRIPrep*][6] ([GitHub](https://github.com/nipreps/dmriprep)): dMRI Preprocessing
+  * [*sMRIPrep*][7] ([GitHub](https://github.com/poldracklab/smriprep)): Structural MRI Preprocessing
+  * [*MRIQC*][8] ([GitHub](https://github.com/poldracklab/mriqc)): MRI quality control
+  * [*SDCflows*][5] ([GitHub](https://github.com/nipreps/sdcflows)): Susceptibility-derived distortion correction (SDC) workflows
+  * [*NiWorkflows*][4] ([GitHub](https://github.com/nipreps/niworkflows)): General/miscellaneous workflow utilities
+  * [*TemplateFlow*][9]: A registry of neuroimaging templates and spatial mappings between them.
 
 ## Overview of the framework
 
-The _NiPreps_ framework (Figure 1) encompasses a wide array of software projects organized into three layers of scientific software:
+The *NiPreps* framework (Figure 1) encompasses a wide array of software projects organized into three layers of scientific software:
 
-  * **Software infrastructure**: including quite mature projects such as [_NiPype_][2] and [_NiBabel_][3]; the standard specifications of the Brain Imaging Data Structure (BIDS, and BIDS-Derivatives); and some other tools such as _NiTransforms_ or _TemplateFlow_, under development.
+  * **Software infrastructure**: including quite mature projects such as [*NiPype*][2] and [*NiBabel*][3]; the standard specifications of the Brain Imaging Data Structure (BIDS, and BIDS-Derivatives); and some other tools such as *NiTransforms* or *TemplateFlow*, under development.
     These tools deliver low-level interfaces (e.g., data access to images and spatial transforms) and utilities (see Figure 1).
   * **Middleware**: these are utilities that generalize their functionalities across the end-user tools.
-    These utilities cover foundational processing methodologies (e.g., [_NiWorkflows_][4] and [_SDCflows_][5]), the crowdsourcing of metadata (e.g., _MRIQC Web-API_), and the support for deep learning models (_MRIQC-nets_).
-  * **End-user tools such as _fMRIPrep_**: Some existing end-user tools include _sMRIPrep (Structural MRI Preprocessing)_, which lies in between an end-user tool and middleware, as it is involved in higher-level tools such as _fMRIPrep_. Finally, quality control tools (e.g., _MRIQC_) to be executed before any preprocessing happens.
+    These utilities cover foundational processing methodologies (e.g., [*NiWorkflows*][4] and [*SDCflows*][5]), the crowdsourcing of metadata (e.g., *MRIQC Web-API*), and the support for deep learning models (*MRIQC-nets*).
+  * **End-user tools such as *fMRIPrep***: Some existing end-user tools include *sMRIPrep (Structural MRI Preprocessing)*, which lies in between an end-user tool and middleware, as it is involved in higher-level tools such as *fMRIPrep*. Finally, quality control tools (e.g., *MRIQC*) to be executed before any preprocessing happens.
 
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