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5	5	= (% style="--darkreader-inline-color:inherit; color:inherit" %)Slow Wave Analysis Pipeline(%%) =
6	6
7	7	(% class="wikigeneratedid" id="HUseCaseSGA2-SP3-002:IntegratingmultiscaledataA0inareproducibleandadaptablepipeline" %)
8		-(% style="--darkreader-inline-color:inherit; color:inherit; font-size:24px" %)**Use Case SGA2-SP3-002 KR3.2: Integrating multi-scale data in a reproducible and adaptable pipeline**
	8	+(% style="--darkreader-inline-color:inherit; color:inherit; font-size:24px" %)**Use Case SGA2-SP3-002: Integrating multi-scale data in a reproducible and adaptable pipeline**
9	9
10		-Robin Gutzen^^1^^, Giulia De Bonis^^2^^, Elena Pastorelli^^2^^, Cristiano Capone^^2^^,
	10	+To be discussed Author orders, contributions,...:
11	11
12		-Chiara De Luca^^2^^, Marco Celotto^^2^^, Michael Denker^^1^^, Sonja Grün^^1^^,
	12	+Experiments: ...?
13	13
14		-Pier Stanislao Paolucci^^2^^, Andrew Davison^^3^^
	14	+Implementation: Robin Gutzen^^1^^, Elena Pastorelli^^2^^, ...
15	15
16		-Experiments: Francesco Pavone^^4^^, Maria-Victoria Sanchez-Vives^^5^^
	16	+Lead: Michael Denker^^1^^, Sonja Grün^^1^^, Pier Stanislao Paolucci^^2^^, Andrew Davison?
17	17
18	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	19
20		-,,2) INFN Sezione di Roma, Rome, Italy,,
	20	+,,2) Dipartimento di Fisica, Università di Cagliari and INFN Sezione di Roma, Italy,,
21	21
22		-,,3) Unité de Neurosciences, Information et Complexité, Neuroinformatics group, CNRS FRE 3693, Gif-sur-Yvette, France,,
23		-
24		-,,4) LENS, University of Florence, 50019 Florence, Italy,,
25		-
26		-,,5) Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain,,
	22	+
27	27	)))
28	28	)))
29	29
...	...	@@ -54,20 +54,19 @@
54	54	**Copy the collab drive to your personal drive space**
55	55
56	56	* Open the Drive from the left menu
57		-* Select the folders //pipeline// and //datasets,//
58		-and the notebook// run_snakemake_in_collab.ipynb//
	53	+* Select the folders //pipeline// and //datasets//
59	59	* Select 'Copy', and then 'My Library' from the dropdown 'Other Libraries'
60	60
61	61	)))
62	62	* **Start a Jupyter Hub instance **
63	63	In another browser tab, open [[https:~~/~~/lab.ebrains.eu>>https://lab.ebrains.eu]]
64		-
	59	+
65	65	* **Edit the config files**
66		-Each stage has a config file (//pipeline/<stage_name>/config.yaml//) 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 of each stage. The default values are set for an example dataset (ECoG, anesthetized mouse, [[IDIBAPS>>https://kg.ebrains.eu/search/?facet_type[0]=Dataset&q=sanchez-vives#Dataset/2ead029b-bba5-4611-b957-bb6feb631396]]]).
	61	+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 of each stage. The default values are set for an example dataset (ECoG, anesthetized mouse, [[IDIBAPS>>https://kg.ebrains.eu/search/?facet_type[0]=Dataset&q=sanchez-vives#Dataset/2ead029b-bba5-4611-b957-bb6feb631396]]]).
67	67
68	68	* **Run the notebook**
69	69	In the jupyter hub, navigate to //drive/My Libraries/My Library/pipeline/showcase_notebooks/run_snakemake_in_collab.ipynb//, or where you copied the //pipeline// folder to.
70		-Follow the notebook to install the required packages into your Python kernel, set the output path, and execute the pipeline with snakemake.
	65	+* Follow the notebook to install the required packages into your Python kernel, set the output path, and execute the pipeline with snakemake.
71	71
72	72	* **Coming soon**
73	73	** Use of KnowledgeGraph API
...	...	@@ -91,7 +91,7 @@
91	91	* **Edit the config files**
92	92	Each stage has a config file to specify which analysis/processing blocks to execute and which parameters to use. Edit the config template files //pipeline/stageXX_<stage_name>/config_template.yaml// according to your dataset and analysis goal, and save them as //pipeline/stageXX_<stage_name>/config.yaml//. A detailed description of the available parameter settings and their meaning is commented in the template files, and a more general description of the working mechanism of each stage can be found in the respective README file //pipeline/stageXX_<stage_name>/README.md//.
93	93	//Links are view-only//
94		-** full pipeline:[[ README.md>>https://drive.ebrains.eu/f/ec474df6919a4089832e/]], [[config.yaml>>https://drive.ebrains.eu/f/fd37c5dd8970444fa217/]]
	89	+** full pipeline:[[ README.md>>https://drive.ebrains.eu/f/ec474df6919a4089832e/]], config.yaml
95	95	** stage01_data_entry: [[README.md>>https://drive.ebrains.eu/f/b46ffe259b3a4a51a277/]], [[config.yaml>>https://drive.ebrains.eu/f/8de751f48d7d47edaec1/]]
96	96	** stage02_processing: [[README.md>>https://drive.ebrains.eu/f/7f19d89913624425bf63/]], [[config.yaml>>https://drive.ebrains.eu/f/b1607671f6f2468aa43c/]]
97	97	** stage03_trigger_detection: [[README.md>>https://drive.ebrains.eu/f/94d12860dde84bbab7b1/]], [[config.yaml>>https://drive.ebrains.eu/f/6dfb712d5fa24f4f9fcf/]]
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112	112
113	113	== References ==
114	114
115		-* De Bonis, Giulia, et al. "Analysis pipeline for extracting features of cortical slow oscillations." //Frontiers in Systems Neuroscience// 13 (2019): 70.
116		-* Celotto, Marco, et al. "Analysis and Model of Cortical Slow Waves Acquired with Optical Techniques." //Methods and Protocols// 3.1 (2020): 14.
117	117
118	118	== License (to discuss) ==
119	119