Last modified by robing on 2022/03/25 09:55

From version 51.1
edited by robing
on 2020/04/24 16:42
Change comment: There is no comment for this version
To version 52.1
edited by robing
on 2020/04/24 16:47
Change comment: There is no comment for this version

Summary

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99 99  * **Edit the config files**
100 100  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//.
101 101  //Links are view-only//
102 -** full pipeline: [[README.md>>https://drive.ebrains.eu/smart-link/896f8880-a7d1-4a30-adbf-98759860fed5/]], [[config.yaml>>https://drive.ebrains.eu/lib/905d7321-a16b-4147-8cca-31d710d1f946/file/pipeline/config_template.yaml]]
103 -** stage01_data_entry: [[README.md>>https://drive.ebrains.eu/smart-link/896f8880-a7d1-4a30-adbf-98759860fed5/]], [[config.yaml>>https://drive.ebrains.eu/f/8de751f48d7d47edaec1/]]
104 -** stage02_processing: [[README.md>>https://drive.ebrains.eu/f/7f19d89913624425bf63/]], [[config.yaml>>https://drive.ebrains.eu/f/b1607671f6f2468aa43c/]]
105 -** stage03_trigger_detection: [[README.md>>https://drive.ebrains.eu/f/94d12860dde84bbab7b1/]], [[config.yaml>>https://drive.ebrains.eu/f/6dfb712d5fa24f4f9fcf/]]
106 -** stage04_wavefront_detection: [[README.md>>https://drive.ebrains.eu/d/9c53abd5eaf543b28615/]], [[config.yaml>>https://drive.ebrains.eu/f/9534e46c4fae41c78f17/]]
107 -** stage05_wave_characterization: [[README.md>>https://drive.ebrains.eu/f/4d79f3e314474c22a781/]], [[config.yaml>>https://drive.ebrains.eu/f/1689dda03be04251b85f/]]
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/]]
108 108  
109 109  * **Enter a dataset**
110 110  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.
111 -For adding new datasets see //[[pipeline/stage01_data_entry/README.md>>https://drive.ebrains.eu/f/b46ffe259b3a4a51a277/]]//
111 +For adding new datasets see //[[pipeline/stage01_data_entry/README.md>>https://drive.ebrains.eu/smart-link/d2e93a2a-09f6-4dce-982d-0370953a4da8/]]//
112 112  
113 113  * **Run the pipeline (-stages)**
114 114  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.