Changes for page SGA2 SP3 UC002 KR3.2 - Slow Wave Analysis Pipeline
Last modified by robing on 2022/03/25 09:55
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... ... @@ -5,21 +5,25 @@ 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: 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 in a reproducible and adaptable pipeline** 9 9 10 - TodiscussedAuthororders,contributions,...:10 +Robin Gutzen^^1^^, Giulia De Bonis^^2^^, Elena Pastorelli^^2^^, Cristiano Capone^^2^^, 11 11 12 - Experiments:...?12 +Chiara De Luca^^2^^, Marco Celotto^^2^^, Michael Denker^^1^^, Sonja Grün^^1^^, 13 13 14 - Implementation:Robin Gutzen^^1^^,ElenaPastorelli^^2^^, ...14 +Pier Stanislao Paolucci^^2^^, Andrew Davison^^3^^ 15 15 16 - Lead:MichaelDenker^^1^^,SonjaGrün^^1^^, Pier StanislaoPaolucci^^2^^, Andrew Davison?16 +Experiments: Francesco Pavone^^4^^, Maria-Victoria Sanchez-Vives^^5^^ 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) Dipartimento di Fisica, Università di Cagliari andINFN Sezione di Roma, Italy,,20 +,,2) INFN Sezione di Roma, Rome, Italy,, 21 21 22 - 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,, 23 23 ))) 24 24 ))) 25 25 ... ... @@ -51,7 +51,7 @@ 51 51 52 52 * Open the Drive from the left menu 53 53 * Select the folders //pipeline// and //datasets,// 54 -and the notebook// 58 +and the notebook// run_snakemake_in_collab.ipynb// 55 55 * Select 'Copy', and then 'My Library' from the dropdown 'Other Libraries' 56 56 57 57 ))) ... ... @@ -77,26 +77,26 @@ 77 77 78 78 * ((( 79 79 **Build the Python environment** 80 -In the wavescalephant git repository, there is an environment file ([[pipeline/envs/wavescalephant_env.y aml>>https://drive.ebrains.eu/f/efe2ecf0874d4402bb11/]]) specifying the required packages and versions. To build the environment, we recommend using conda ([[how to get started with conda>>https://docs.conda.io/projects/conda/en/latest/user-guide/getting-started.html]]).84 +In the wavescalephant git repository, there is an environment file ([[pipeline/envs/wavescalephant_env.yml>>https://drive.ebrains.eu/lib/905d7321-a16b-4147-8cca-31d710d1f946/file/pipeline/envs/wavescalephant_env.yml]]) specifying the required packages and versions. To build the environment, we recommend using conda ([[how to get started with conda>>https://docs.conda.io/projects/conda/en/latest/user-guide/getting-started.html]]). 81 81 ##conda env create ~-~-file /envs/wavescalephant_env.yml## 82 82 83 83 ))) 84 84 * **Edit the settings** 85 -The settings file specifies the path to the output folder, where results are saved to. Open the template file //[[pipeline/settings_template.py>>https://drive.ebrains.eu/ f/b6dbd9f15e4f4d97af17/]]//, set the ##output_path## to the desired path, and save it as //pipeline/settings.py//.89 +The settings file specifies the path to the output folder, where results are saved to. Open the template file //[[pipeline/settings_template.py>>https://drive.ebrains.eu/lib/905d7321-a16b-4147-8cca-31d710d1f946/file/pipeline/settings_template.py]]//, set the ##output_path## to the desired path, and save it as //pipeline/settings.py//. 86 86 87 87 * **Edit the config files** 88 88 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//. 89 89 //Links are view-only// 90 -** full pipeline:[[ README.md>>https://drive.ebrains.eu/ f/ec474df6919a4089832e/]], config.yaml91 -** stage01_data_entry: [[README.md>>https://drive.ebrains.eu/ f/b46ffe259b3a4a51a277/]], [[config.yaml>>https://drive.ebrains.eu/f/8de751f48d7d47edaec1/]]92 -** stage02_processing: [[README.md>>https://drive.ebrains.eu/ f/7f19d89913624425bf63/]], [[config.yaml>>https://drive.ebrains.eu/f/b1607671f6f2468aa43c/]]93 -** stage03_trigger_detection: [[README.md>>https://drive.ebrains.eu/ f/94d12860dde84bbab7b1/]], [[config.yaml>>https://drive.ebrains.eu/f/6dfb712d5fa24f4f9fcf/]]94 -** stage04_wavefront_detection: [[README.md>>https://drive.ebrains.eu/ d/9c53abd5eaf543b28615/]], [[config.yaml>>https://drive.ebrains.eu/f/9534e46c4fae41c78f17/]]95 -** stage05_wave_characterization: [[README.md>>https://drive.ebrains.eu/ f/4d79f3e314474c22a781/]], [[config.yaml>>https://drive.ebrains.eu/f/1689dda03be04251b85f/]]94 +** full pipeline:[[ README.md>>https://drive.ebrains.eu/lib/905d7321-a16b-4147-8cca-31d710d1f946/file/pipeline/README.md]], [[config.yaml>>https://drive.ebrains.eu/f/fd37c5dd8970444fa217/]] 95 +** stage01_data_entry: [[README.md>>https://drive.ebrains.eu/lib/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]] 96 +** stage02_processing: [[README.md>>https://drive.ebrains.eu/lib/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]] 97 +** stage03_trigger_detection: [[README.md>>https://drive.ebrains.eu/lib/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]] 98 +** stage04_wavefront_detection: [[README.md>>https://drive.ebrains.eu/lib/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]] 99 +** stage05_wave_characterization: [[README.md>>https://drive.ebrains.eu/lib/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]] 96 96 97 97 * **Enter a dataset** 98 98 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. 99 -For adding new datasets see //[[pipeline/stage01_data_entry/README.md>>https://drive.ebrains.eu/f/b46ffe259b3a4a51a277/]]// 103 +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/]]// 100 100 101 101 * **Run the pipeline (-stages)** 102 102 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. ... ... @@ -108,6 +108,8 @@ 108 108 109 109 == References == 110 110 115 +* 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. 111 111 112 112 == License (to discuss) == 113 113