Ecoregionalization workflow
ecology-Ecoregionalization_tutorial/ecoregionalization-workflow
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flowchart TD 0["ℹ️ Input Dataset\noccurrence.txt"]; style 0 stroke:#2c3143,stroke-width:4px; 1["ℹ️ Input Dataset\npivot_wider_jupytool_notebook.ipynb"]; style 1 stroke:#2c3143,stroke-width:4px; 2["ℹ️ Input Dataset\nceamarc_env.tsv"]; style 2 stroke:#2c3143,stroke-width:4px; 3["Advanced Cut"]; 0 -->|output| 3; 4["Column Regex Find And Replace"]; 3 -->|output| 4; 5["Column Regex Find And Replace"]; 4 -->|out_file1| 5; 6["Column Regex Find And Replace"]; 5 -->|out_file1| 6; 7["Column Regex Find And Replace"]; 6 -->|out_file1| 7; 8["Filter Tabular"]; 7 -->|out_file1| 8; 9["Column Regex Find And Replace"]; 8 -->|output| 9; 10["Column Regex Find And Replace"]; 9 -->|out_file1| 10; 11["Column Regex Find And Replace"]; 10 -->|out_file1| 11; 12["Column Regex Find And Replace"]; 11 -->|out_file1| 12; 13["Column Regex Find And Replace"]; 12 -->|out_file1| 13; 14["Merge Columns"]; 13 -->|out_file1| 14; 15["Advanced Cut"]; 14 -->|out_file1| 15; 16["Interactive JupyTool and notebook"]; 1 -->|output| 16; 15 -->|output| 16; 6ff6235b-676e-4715-b30d-80ed77bd62be["Output\nocc_out"]; 16 --> 6ff6235b-676e-4715-b30d-80ed77bd62be; style 6ff6235b-676e-4715-b30d-80ed77bd62be stroke:#2c3143,stroke-width:4px; 17["GeoNearestNeighbor"]; 2 -->|output| 17; 16 -->|output_dataset| 17; c10c4430-a835-4324-8922-5c55f820da75["Output\nocc_env_out"]; 17 --> c10c4430-a835-4324-8922-5c55f820da75; style c10c4430-a835-4324-8922-5c55f820da75 stroke:#2c3143,stroke-width:4px; 5c0d1bb8-bb33-41f6-bceb-cd97f17e43c2["Output\ninfo_out"]; 17 --> 5c0d1bb8-bb33-41f6-bceb-cd97f17e43c2; style 5c0d1bb8-bb33-41f6-bceb-cd97f17e43c2 stroke:#2c3143,stroke-width:4px; 18["BRT tool prediction"]; 2 -->|output| 18; 17 -->|occ_env_out| 18; 5be6adcc-e2d9-4055-85dd-d952ba9595c8["Output\ncoll_pred"]; 18 --> 5be6adcc-e2d9-4055-85dd-d952ba9595c8; style 5be6adcc-e2d9-4055-85dd-d952ba9595c8 stroke:#2c3143,stroke-width:4px; 00395b7e-c479-4b25-99dc-72996b4f3caa["Output\ncoll_val"]; 18 --> 00395b7e-c479-4b25-99dc-72996b4f3caa; style 00395b7e-c479-4b25-99dc-72996b4f3caa stroke:#2c3143,stroke-width:4px; f64a6096-33f5-4b0c-b287-71cebc29d375["Output\ncoll_distri"]; 18 --> f64a6096-33f5-4b0c-b287-71cebc29d375; style f64a6096-33f5-4b0c-b287-71cebc29d375 stroke:#2c3143,stroke-width:4px; 3c9ef7cc-aba7-4a02-ad86-0e63a1c195d2["Output\ncoll_plots"]; 18 --> 3c9ef7cc-aba7-4a02-ad86-0e63a1c195d2; style 3c9ef7cc-aba7-4a02-ad86-0e63a1c195d2 stroke:#2c3143,stroke-width:4px; 19["TaxaSeeker"]; 2 -->|output| 19; 17 -->|occ_env_out| 19; 18 -->|outputpred| 19; e59b97b7-e1d5-4a2f-8ab7-01441dbdb475["Output\nsummary"]; 19 --> e59b97b7-e1d5-4a2f-8ab7-01441dbdb475; style e59b97b7-e1d5-4a2f-8ab7-01441dbdb475 stroke:#2c3143,stroke-width:4px; 3dc6c8bb-0ce5-42ba-b01c-1ff8a8dc3d21["Output\ntaxa"]; 19 --> 3dc6c8bb-0ce5-42ba-b01c-1ff8a8dc3d21; style 3dc6c8bb-0ce5-42ba-b01c-1ff8a8dc3d21 stroke:#2c3143,stroke-width:4px; 4559f155-f980-4217-b775-791a1f871649["Output\ntaxa_clean"]; 19 --> 4559f155-f980-4217-b775-791a1f871649; style 4559f155-f980-4217-b775-791a1f871649 stroke:#2c3143,stroke-width:4px; 20["ClusterEstimate"]; 2 -->|output| 20; 18 -->|outputpred| 20; 19 -->|output2| 20; 244676a9-72a4-49d8-948f-084943fd43b0["Output\nSIH_index"]; 20 --> 244676a9-72a4-49d8-948f-084943fd43b0; style 244676a9-72a4-49d8-948f-084943fd43b0 stroke:#2c3143,stroke-width:4px; 5944df56-c068-4599-8065-ca06adec7676["Output\ndata_to_clus"]; 20 --> 5944df56-c068-4599-8065-ca06adec7676; style 5944df56-c068-4599-8065-ca06adec7676 stroke:#2c3143,stroke-width:4px; da04aa4f-5918-4a61-a00a-3079a0d71824["Output\ndatabio_table"]; 20 --> da04aa4f-5918-4a61-a00a-3079a0d71824; style da04aa4f-5918-4a61-a00a-3079a0d71824 stroke:#2c3143,stroke-width:4px; 21["ClaraClust"]; 2 -->|output| 21; 20 -->|output3| 21; 20 -->|output2| 21; 204989a4-baaa-4810-8c73-b45826cae22c["Output\nSIH_plot"]; 21 --> 204989a4-baaa-4810-8c73-b45826cae22c; style 204989a4-baaa-4810-8c73-b45826cae22c stroke:#2c3143,stroke-width:4px; ff383b84-a1bd-4044-956f-7d99c733adb7["Output\ncluster_points"]; 21 --> ff383b84-a1bd-4044-956f-7d99c733adb7; style ff383b84-a1bd-4044-956f-7d99c733adb7 stroke:#2c3143,stroke-width:4px; 3f17d8b9-7578-4cd9-8eb4-a288584d4a7c["Output\ncluster_info"]; 21 --> 3f17d8b9-7578-4cd9-8eb4-a288584d4a7c; style 3f17d8b9-7578-4cd9-8eb4-a288584d4a7c stroke:#2c3143,stroke-width:4px; 22["EcoMap"]; 21 -->|output2| 22; 6a2b7d9a-76ec-4e3e-a61e-7b34bb255bb1["Output\neco_map"]; 22 --> 6a2b7d9a-76ec-4e3e-a61e-7b34bb255bb1; style 6a2b7d9a-76ec-4e3e-a61e-7b34bb255bb1 stroke:#2c3143,stroke-width:4px;
Inputs
Input | Label |
---|---|
Input dataset | occurrence.txt |
Input dataset | pivot_wider_jupytool_notebook.ipynb |
Input dataset | ceamarc_env.tsv |
Outputs
From | Output | Label |
---|---|---|
interactive_tool_jupyter_notebook | Interactive JupyTool and notebook | |
toolshed.g2.bx.psu.edu/repos/ecology/ecoregion_geonearestneighbor/ecoregion_GeoNearestNeighbor/0.1.0+galaxy0 | GeoNearestNeighbor | |
toolshed.g2.bx.psu.edu/repos/ecology/ecoregion_brt_analysis/ecoregion_brt_analysis/0.1.0+galaxy0 | BRT tool prediction | |
toolshed.g2.bx.psu.edu/repos/ecology/ecoregion_taxa_seeker/ecoregion_taxa_seeker/0.1.0+galaxy0 | TaxaSeeker | |
toolshed.g2.bx.psu.edu/repos/ecology/ecoregion_cluster_estimate/ecoregion_cluster_estimate/0.1.0+galaxy0 | ClusterEstimate | |
toolshed.g2.bx.psu.edu/repos/ecology/ecoregion_clara_cluster/ecoregion_clara_cluster/0.1.0+galaxy0 | ClaraClust | |
toolshed.g2.bx.psu.edu/repos/ecology/ecoregion_eco_map/ecoregion_eco_map/0.1.0+galaxy0 | EcoMap |
Tools
To use these workflows in Galaxy you can either click the links to download the workflows, or you can right-click and copy the link to the workflow which can be used in the Galaxy form to import workflows.
Importing into Galaxy
Below are the instructions for importing these workflows directly into your Galaxy server of choice to start using them!Hands On: Importing a workflow
- Click on galaxy-workflows-activity Workflows in the Galaxy activity bar (on the left side of the screen, or in the top menu bar of older Galaxy instances). You will see a list of all your workflows
- Click on galaxy-upload Import at the top-right of the screen
- Provide your workflow
- Option 1: Paste the URL of the workflow into the box labelled “Archived Workflow URL”
- Option 2: Upload the workflow file in the box labelled “Archived Workflow File”
- Click the Import workflow button
Below is a short video demonstrating how to import a workflow from GitHub using this procedure:
Video: Importing a workflow from URL
Version History
Version | Commit | Time | Comments |
---|---|---|---|
1 | 106094184 | 2024-06-19 12:40:35 | Update workflow |
For Admins
Installing the workflow tools
wget https://training.galaxyproject.org/training-material/topics/ecology/tutorials/Ecoregionalization_tutorial/workflows/Ecoregionalization_workflow.ga -O workflow.ga workflow-to-tools -w workflow.ga -o tools.yaml shed-tools install -g GALAXY -a API_KEY -t tools.yaml workflow-install -g GALAXY -a API_KEY -w workflow.ga --publish-workflows