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6	6
7	7	(% class="wikigeneratedid" id="HUseCaseSGA2-SP3-002:IntegratingmultiscaledataA0inareproducibleandadaptablepipeline" %)
8	8	(% style="color:inherit; font-size:24px" %)Use Case SGA2-SP3-002: Integrating multi-scale data in a reproducible and adaptable pipeline
9		-
10		-To be discussed Author order, contributions,...:
11		-
12		-Experiments: ...?
13		-
14		-Implementation: Robin Gutzen^^1,*^^, Elena Pastorelli^^2,*^^, ...
15		-
16		-Lead: Michael Denker^^1^^, Pier Stanislao Paolucci^^2^^
17		-
18		-,,1) Institute of Neuroscience and Medicine (INM-6) and Institute for Advanced Simulation (IAS-6) and JARA-Institute Brain Structure-Function Relationships (INM-10), Jülich Research Centre, Jülich, Germany,,
19		-
20		-,,2) Dipartimento di Fisica, Università di Cagliari and INFN Sezione di Cagliari, Italy,,
21		-
22		-
23	23	)))
24	24	)))
25	25
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27	27	(((
28	28	(% class="col-xs-12 col-sm-8" %)
29	29	(((
30		-== Flexible workflows to generate multi-scale analysis scenarios ==
	16	+= What can I find here? =
31	31
32		-This Collab is aimed at experimental and computational neuroscientists interested in the usage of the Neo and Elephant tools in performing data analysis of spiking data.
	18	+...
33	33
	20	+= Who has access? =
	21	+
	22	+Describe the audience of this collab.
	23	+
34	34	== Executing the pipeline ==
35	35
36	36	[[image:pipeline_flowchart.png]]
37	37
38		-=== In the collab (beta) ===
	28	+=== in the collab (beta) ===
39	39
40	40	* **Copy the collab drive to your drive space**
41	41	** Open the Drive from the left menu
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43	43	** Select 'Copy', and then 'My Library' from the dropdown 'Other Libraries'
44	44
45	45	* **Start a Jupyter Hub instance **
46		-In another browser, open [[https:~~/~~/lab.ebrains.eu>>https://lab.ebrains.eu]]
47		-
	36	+copy the URL to another browser page: 'jupyterhub-preview.apps-dev.hbp.eu'
	37	+
48	48	* **Edit the config files**
49	49	Each stage has a config file to specify which analysis/processing blocks to execute and which parameters to use. General and specific information about the blocks and parameters can found in the README and config files. The default values are set for an example dataset (ECoG, anesthetized mouse, IDIBAPS [ref]).
50	50	** stage01_data_entry: [README.md](), [config.yaml]()
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62	62	** Provenance Tracking
63	63	** HPC support
64	64
65		-=== Local execution ===
	55	+=== locally ===
66	66
67	67	* **Get the code**
68	68	The source code of the pipeline is available via Github: [INM-6/wavescalephant]('https:~/~/github.com/INM-6/wavescalephant') and can be cloned to your machine ([how to use Github]()).