Attention: The Keycloak upgrade has been completed. As this was a major upgrade, there may be some unexpected issues occurring. Please report any issues you find to support by using the contact form found at https://www.ebrains.eu/contact/. Thank you for your patience and understanding. 


Changes for page TVB PIPELINE

Last modified by ldomide on 2024/05/20 08:56
From version 7.1
edited by michaels
on 2020/05/06 09:11
Change comment: There is no comment for this version
To version 9.1
edited by michaels
on 2020/05/06 13:20
Change comment: There is no comment for this version

Summary

Details

Page properties
Content
... ... @@ -12,7 +12,7 @@
12 12  (((
13 13  (% class="col-xs-12 col-sm-8" %)
14 14  (((
15 -= What can I find here? =
15 +== What can I find here? ==
16 16  
17 17  * an IPython notebook that describes how to
18 18  ** use the TVB pipeline on one of the associated supercomputers using PyUnicore
... ... @@ -19,6 +19,15 @@
19 19  ** upload model data to the supercomputer
20 20  ** set up and run the pipeline
21 21  ** download processing results
22 +
23 +== How do I use it? ==
24 +
25 +* the pipeline is implemented by three Docker containers (mrtrix3_connectome, fmriprep and tvb_converter)
26 +* the containers are executed on supercomputers and operated via IPython notebooks
27 +* Find the notebook by clicking on "Drive" in the left menu. The notebook is located in the folder "notebooks"
28 +* To use the notebook, download it onto your local filesystem, create a new Collab and upload it there.
29 +* Then, head over to [[https:~~/~~/lab.ebrains.eu/>>url:https://lab.ebrains.eu/||rel=" noopener noreferrer" target="_blank"]] to edit and run your notebook.
30 +* Depending on whether you created a public or a private notebook it will be accessible in either "drive/Shared with all" or "drive/Shared with groups'"
22 22  )))
23 23  
24 24  
Public

TVB PIPELINE