Changes for page SGA2 SP3 UC002 KR3.2 - Slow Wave Analysis Pipeline
Last modified by robing on 2022/03/25 09:55
From version 47.1
edited by robing
on 2020/04/24 12:49
on 2020/04/24 12:49
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To version 56.1
edited by pierstanpaolucci
on 2020/04/26 13:49
on 2020/04/26 13:49
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... ... @@ -2,28 +2,34 @@ 2 2 ((( 3 3 (% class="container" %) 4 4 ((( 5 -= (% style="--darkreader-inline-color:inherit; color:inherit" %) [[INM-6/wavescalephant>>https://github.com/INM-6/wavescalephant]]Slow Wave Analysis Pipeline(%%) =5 += (% style="--darkreader-inline-color:inherit; color:inherit" %)Slow Wave Analysis Pipeline (SWAP)(%%) = 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 KR3.2: Integrating multi-scale data and the output of simulations in a reproducible and adaptable pipeline** 9 9 10 -Robin Gutzen^^1^^, Giulia De Bonis^^2^^, Elena Pastorelli^^2^^, Cristiano Capone^^2^^, 10 +Robin Gutzen^^1^^, Giulia De Bonis^^2^^, Elena Pastorelli^^2,3^^, Cristiano Capone^^2^^, 11 11 12 -Chiara De Luca^^2 ^^,Marco Celotto^^2^^, Michael Denker^^1^^, Sonja Grün^^1^^,12 +Chiara De Luca^^2,3^^, Michael Denker^^1^^, Sonja Grün^^1^^, 13 13 14 -Pier Stanislao Paolucci^^2^^, Andrew Davison^^ 3^^14 +Pier Stanislao Paolucci^^2^^, Andrew Davison^^4^^ 15 15 16 -Experiments: Francesco Pavone^^ 4^^, Maria-Victoria Sanchez-Vives^^5^^16 +Experiments: Anna Letizia Allegra Mascaro^^5,6^^, Francesco Resta^^5^^, Francesco Saverio Pavone^^5^^, Maria-Victoria Sanchez-Vives^^7,8^^ 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) Istituto Nazionale di Fisica Nucleare (INFN), Sezione di Roma, Rome, Italy,, 21 21 22 -,,3) Unitéde Neurosciences,Informationet Complexité, Neuroinformaticsgroup,CNRS FRE 3693,Gif-sur-Yvette,France,,22 +,,3) Ph.D. Program in Behavioural Neuroscience, “Sapienza” University of Rome, Rome, Italy,, 23 23 24 -,,4) LENS,UniversityofFlorence,50019Florence,Italy,,24 +,,4) Unité de Neurosciences, Information et Complexité, Neuroinformatics Group, CNRS FRE 3693, Gif-sur-Yvette, France,, 25 25 26 -,,5) Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain,, 26 +,,5) European Laboratory for Non-linear Spectroscopy (LENS), (% style="color:inherit" %)University of Florence, Florence, Italy(%%),, 27 + 28 +,,6) Istituto di Neuroscienze, CNR, Pisa, Italy,, 29 + 30 +,,7) Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain,, 31 + 32 +,,8) Institució Catalana de Recerca i Estudis Avanc ̨ats (ICREA), Barcelona, Spain,, 27 27 ))) 28 28 ))) 29 29 ... ... @@ -34,9 +34,9 @@ 34 34 == Flexible workflows to generate multi-scale analysis scenarios == 35 35 36 36 This Collab is aimed at experimental and computational neuroscientists interested in the usage of the [[Neo>>https://neo.readthedocs.io/en/stable/]] and [[Elephant>>https://elephant.readthedocs.io/en/latest/]] tools in performing data analysis of spiking data. 37 -Here, the collab illustrates the tool usage with regards to KR3.2, investigating sleep, anesthesia, and the transition to wakefulness. 43 +Here, the collab illustrates the tool usage with regards to the [[SGA2 SP3 UC002 KR3.2>>attach:https://drive.ebrains.eu/smart-link/17ac0d6e-e050-4a49-8ca2-e223b70a3121/]], investigating sleep, anesthesia, and the transition to wakefulness. 38 38 39 -[[image:https://github.githubassets.com/images/modules/logos_page/GitHub-Mark.png||height=" 25"style="float:left"width="25"]]//[[INM-6/wavescalephant>>https://github.com/INM-6/wavescalephant]]//45 +[[image:https://github.githubassets.com/images/modules/logos_page/GitHub-Mark.png||height="35" width="35"]][[INM-6/wavescalephant>>https://github.com/INM-6/wavescalephant]] 40 40 41 41 == How the Pipeline works == 42 42 ... ... @@ -93,16 +93,16 @@ 93 93 * **Edit the config files** 94 94 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//. 95 95 //Links are view-only// 96 -** full pipeline:[[ b/905d7321-a16b-4147-8cca-31d710d1f946/file/pipeline/README.md]], [[config.yaml>>https://drive.ebrains.eu/f/fd37c5dd8970444fa217/]]97 -** stage01_data_entry: [[README.md>>https://drive.ebrains.eu/li b/905d7321-a16b-4147-8cca-31d710d1f946/file/pipeline/stage01_data_entry/README.md]], [[config.yaml>>https://drive.ebrains.eu/lib/905d7321-a16b-4147-8cca-31d710d1f946/file/pipeline/stage01_data_entry/config_template.yaml]]98 -** stage02_processing: [[README.md>>https://drive.ebrains.eu/li b/905d7321-a16b-4147-8cca-31d710d1f946/file/pipeline/stage02_processing/README.md]], [[config.yaml>>https://drive.ebrains.eu/lib/905d7321-a16b-4147-8cca-31d710d1f946/file/pipeline/stage02_processing/config_template.yaml]]99 -** stage03_trigger_detection: [[README.md>>https://drive.ebrains.eu/li b/905d7321-a16b-4147-8cca-31d710d1f946/file/pipeline/stage03_trigger_detection/README.md]], [[config.yaml>>https://drive.ebrains.eu/lib/905d7321-a16b-4147-8cca-31d710d1f946/file/pipeline/stage03_trigger_detection/config_template.yaml]]100 -** stage04_wavefront_detection: [[README.md>>https://drive.ebrains.eu/li b/905d7321-a16b-4147-8cca-31d710d1f946/file/pipeline/stage04_wavefront_detection/README.md]], [[config.yaml>>https://drive.ebrains.eu/lib/905d7321-a16b-4147-8cca-31d710d1f946/file/pipeline/stage04_wavefront_detection/config_template.yaml]]101 -** stage05_wave_characterization: [[README.md>>https://drive.ebrains.eu/li b/905d7321-a16b-4147-8cca-31d710d1f946/file/pipeline/stage05_wave_characterization/README.md]], [[config.yaml>>https://drive.ebrains.eu/lib/905d7321-a16b-4147-8cca-31d710d1f946/file/pipeline/stage05_wave_characterization/config_template.yaml]]102 +** full pipeline: [[README.md>>https://drive.ebrains.eu/smart-link/d2e93a2a-09f6-4dce-982d-0370953a4da8/]], [[config.yaml>>https://drive.ebrains.eu/smart-link/7948fbb3-bf8a-4785-9b28-d5c15a1aafa7/]] 103 +** stage01_data_entry: [[README.md>>https://drive.ebrains.eu/smart-link/896f8880-a7d1-4a30-adbf-98759860fed5/]], [[config.yaml>>https://drive.ebrains.eu/smart-link/d429639d-b76e-4093-8fad-a25463d41edc/]] 104 +** stage02_processing: [[README.md>>https://drive.ebrains.eu/smart-link/01f21fa5-94f7-4883-8388-cc50957f9c81/]], [[config.yaml>>https://drive.ebrains.eu/f/b1607671f6f2468ahttps://drive.ebrains.eu/smart-link/02a3f92c-dc7d-4b33-94f5-91b00db060d5/a43c/]] 105 +** stage03_trigger_detection: [[README.md>>https://drive.ebrains.eu/smart-link/18d276cd-a691-4ee1-81c6-7978cef9c1b4/]], [[config.yaml>>https://drive.ebrains.eu/smart-link/76adbb12-7cb4-42df-9fd5-735927ea3ba8/]] 106 +** stage04_wavefront_detection: [[README.md>>https://drive.ebrains.eu/smart-link/a8e80096-06a0-4ff4-b645-90e134e46ac5/]], [[config.yaml>>https://drive.ebrains.eu/smart-link/6b0b233f-30b7-4bbd-8564-1abebd27ea6d/]] 107 +** stage05_wave_characterization: [[README.md>>https://drive.ebrains.eu/smart-link/3009a214-a11f-424c-8a6e-13e7506545eb/]], [[config.yaml>>https://drive.ebrains.eu/smart-link/471001d5-33f5-488e-a9a4-f03b190e3da7/]] 102 102 103 103 * **Enter a dataset** 104 104 There are two test datasets in the collab drive (IDIBAPS and LENS) for which there are also corresponding config files and scripts in the data_entry stage. So, these datasets are ready to be used and analyzed. 105 -For adding new datasets see //[[pipeline/stage01_data_entry/README.md>>https://drive.ebrains.eu/ f/b46ffe259b3ahttps://drive.ebrains.eu/lib/905d7321-a16b-4147-8cca-31d710d1f946/file/pipeline/stage01_data_entry/README.md4a51a277/]]//111 +For adding new datasets see //[[pipeline/stage01_data_entry/README.md>>https://drive.ebrains.eu/smart-link/d2e93a2a-09f6-4dce-982d-0370953a4da8/]]// 106 106 107 107 * **Run the pipeline (-stages)** 108 108 To run the pipeline with snakemake ([intro to snakemake]()) activate the Python environment ##conda activate wavescalephant_env,## make sure you are in the working directory `pipeline/`, and call ##snakemake## to run the entire pipeline. ... ... @@ -114,8 +114,8 @@ 114 114 115 115 == References == 116 116 117 -* De Bonis, Giulia, et al. "Analysis pipeline for extracting features of cortical slow oscillations." //Frontiers in Systems Neuroscience// 13 (2019): 70. 118 118 * Celotto, Marco, et al. "Analysis and Model of Cortical Slow Waves Acquired with Optical Techniques." //Methods and Protocols// 3.1 (2020): 14. 124 +* De Bonis, Giulia, et al. "Analysis pipeline for extracting features of cortical slow oscillations." //Frontiers in Systems Neuroscience// 13 (2019): 70. 119 119 120 120 == License (to discuss) == 121 121