Ecoregionalization workflow

ecology-Ecoregionalization_tutorial/ecoregionalization-workflow

Author(s)
Seguineau Pauline
version Version
1
last_modification Last updated
Sep 16, 2024
license License
MIT
galaxy-tags Tags

Features
Tutorial
hands_on Ecoregionalization workflow tutorial

Workflow Testing
Tests: ✅
Results: Not yet automated
FAIRness purl PURL
https://gxy.io/GTN:W00286
RO-Crate logo with flask Download Workflow RO-Crate Workflowhub cloud with gears logo View on WorkflowHub
Launch in Tutorial Mode question
galaxy-download Download
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

Tool Links
interactive_tool_jupyter_notebook
toolshed.g2.bx.psu.edu/repos/bgruening/text_processing/tp_cut_tool/9.3+galaxy1 View in ToolShed
toolshed.g2.bx.psu.edu/repos/devteam/merge_cols/mergeCols1/1.0.2 View in ToolShed
toolshed.g2.bx.psu.edu/repos/ecology/ecoregion_brt_analysis/ecoregion_brt_analysis/0.1.0+galaxy0 View in ToolShed
toolshed.g2.bx.psu.edu/repos/ecology/ecoregion_clara_cluster/ecoregion_clara_cluster/0.1.0+galaxy0 View in ToolShed
toolshed.g2.bx.psu.edu/repos/ecology/ecoregion_cluster_estimate/ecoregion_cluster_estimate/0.1.0+galaxy0 View in ToolShed
toolshed.g2.bx.psu.edu/repos/ecology/ecoregion_eco_map/ecoregion_eco_map/0.1.0+galaxy0 View in ToolShed
toolshed.g2.bx.psu.edu/repos/ecology/ecoregion_geonearestneighbor/ecoregion_GeoNearestNeighbor/0.1.0+galaxy0 View in ToolShed
toolshed.g2.bx.psu.edu/repos/ecology/ecoregion_taxa_seeker/ecoregion_taxa_seeker/0.1.0+galaxy0 View in ToolShed
toolshed.g2.bx.psu.edu/repos/galaxyp/regex_find_replace/regexColumn1/1.0.3 View in ToolShed
toolshed.g2.bx.psu.edu/repos/iuc/filter_tabular/filter_tabular/3.3.0 View in ToolShed

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
  1. 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
  2. Click on galaxy-upload Import at the top-right of the screen
  3. 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”
  4. 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