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

From version 45.1
edited by robing
on 2020/04/24 12:34
Change comment: There is no comment for this version
To version 46.1
edited by robing
on 2020/04/24 12:42
Change comment: There is no comment for this version

Summary

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81 81  
82 82  * (((
83 83  **Build the Python environment**
84 -In the wavescalephant git repository, there is an environment file ([[pipeline/envs/wavescalephant_env.yaml>>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]]).
85 85  ##conda env create ~-~-file /envs/wavescalephant_env.yml##
86 86  
87 87  )))
88 88  * **Edit the settings**
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/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//.
90 90  
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/]]
95 -** stage01_data_entry: [[README.md>>https://drive.ebrains.eu/f/b46ffe259b3a4a51a277/]], [[config.yaml>>https://drive.ebrains.eu/f/8de751f48d7d47edaec1/]]
96 -** stage02_processing: [[README.md>>https://drive.ebrains.eu/f/7f19d89913624425bf63/]], [[config.yaml>>https://drive.ebrains.eu/f/b1607671f6f2468aa43c/]]
97 -** stage03_trigger_detection: [[README.md>>https://drive.ebrains.eu/f/94d12860dde84bbab7b1/]], [[config.yaml>>https://drive.ebrains.eu/f/6dfb712d5fa24f4f9fcf/]]
98 -** stage04_wavefront_detection: [[README.md>>https://drive.ebrains.eu/d/9c53abd5eaf543b28615/]], [[config.yaml>>https://drive.ebrains.eu/f/9534e46c4fae41c78f17/]]
99 -** 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]]
100 100  
101 101  * **Enter a dataset**
102 102  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.
103 -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/]]//
104 104  
105 105  * **Run the pipeline (-stages)**
106 106  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.