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;
  eed75f22-6849-4d8b-a244-42ff3e97340d["Output\nocc_out"];
  16 --> eed75f22-6849-4d8b-a244-42ff3e97340d;
  style eed75f22-6849-4d8b-a244-42ff3e97340d stroke:#2c3143,stroke-width:4px;
  17["GeoNearestNeighbor"];
  2 -->|output| 17;
  16 -->|output_dataset| 17;
  ab5e54f0-963b-4b3a-ba81-c444f8790cbc["Output\nocc_env_out"];
  17 --> ab5e54f0-963b-4b3a-ba81-c444f8790cbc;
  style ab5e54f0-963b-4b3a-ba81-c444f8790cbc stroke:#2c3143,stroke-width:4px;
  a919bc88-61bc-472a-a35d-a9c111d2597b["Output\ninfo_out"];
  17 --> a919bc88-61bc-472a-a35d-a9c111d2597b;
  style a919bc88-61bc-472a-a35d-a9c111d2597b stroke:#2c3143,stroke-width:4px;
  18["BRT tool prediction"];
  2 -->|output| 18;
  17 -->|occ_env_out| 18;
  6df145f8-c322-4101-918f-eb679020d521["Output\ncoll_pred"];
  18 --> 6df145f8-c322-4101-918f-eb679020d521;
  style 6df145f8-c322-4101-918f-eb679020d521 stroke:#2c3143,stroke-width:4px;
  228d9bc0-8d1b-4050-b3c1-786dc620260a["Output\ncoll_val"];
  18 --> 228d9bc0-8d1b-4050-b3c1-786dc620260a;
  style 228d9bc0-8d1b-4050-b3c1-786dc620260a stroke:#2c3143,stroke-width:4px;
  ae575cb4-5dcc-48a1-b942-b3425d045c75["Output\ncoll_distri"];
  18 --> ae575cb4-5dcc-48a1-b942-b3425d045c75;
  style ae575cb4-5dcc-48a1-b942-b3425d045c75 stroke:#2c3143,stroke-width:4px;
  6d044932-c18d-4bd1-b9de-0680a0e6d00e["Output\ncoll_plots"];
  18 --> 6d044932-c18d-4bd1-b9de-0680a0e6d00e;
  style 6d044932-c18d-4bd1-b9de-0680a0e6d00e stroke:#2c3143,stroke-width:4px;
  19["TaxaSeeker"];
  2 -->|output| 19;
  17 -->|occ_env_out| 19;
  18 -->|outputpred| 19;
  9ad5bfc7-4e4d-4b23-bca9-0993b8af1085["Output\nsummary"];
  19 --> 9ad5bfc7-4e4d-4b23-bca9-0993b8af1085;
  style 9ad5bfc7-4e4d-4b23-bca9-0993b8af1085 stroke:#2c3143,stroke-width:4px;
  083a1c89-3113-4705-96bf-bca220a54cb1["Output\ntaxa"];
  19 --> 083a1c89-3113-4705-96bf-bca220a54cb1;
  style 083a1c89-3113-4705-96bf-bca220a54cb1 stroke:#2c3143,stroke-width:4px;
  42440450-878c-4080-8dfb-8156f510fad9["Output\ntaxa_clean"];
  19 --> 42440450-878c-4080-8dfb-8156f510fad9;
  style 42440450-878c-4080-8dfb-8156f510fad9 stroke:#2c3143,stroke-width:4px;
  20["ClusterEstimate"];
  2 -->|output| 20;
  18 -->|outputpred| 20;
  19 -->|output2| 20;
  92ee6e6d-ba2b-4ac9-b550-5ef7e4118819["Output\nSIH_index"];
  20 --> 92ee6e6d-ba2b-4ac9-b550-5ef7e4118819;
  style 92ee6e6d-ba2b-4ac9-b550-5ef7e4118819 stroke:#2c3143,stroke-width:4px;
  8a468865-0d3c-4dc9-a623-dce18b0dd6ec["Output\ndata_to_clus"];
  20 --> 8a468865-0d3c-4dc9-a623-dce18b0dd6ec;
  style 8a468865-0d3c-4dc9-a623-dce18b0dd6ec stroke:#2c3143,stroke-width:4px;
  d2eda401-f4ab-4286-97b6-cb9d0b0c789b["Output\ndatabio_table"];
  20 --> d2eda401-f4ab-4286-97b6-cb9d0b0c789b;
  style d2eda401-f4ab-4286-97b6-cb9d0b0c789b stroke:#2c3143,stroke-width:4px;
  21["ClaraClust"];
  2 -->|output| 21;
  20 -->|output3| 21;
  20 -->|output2| 21;
  412cbb4d-4311-4344-a8a1-8398c4310c0a["Output\nSIH_plot"];
  21 --> 412cbb4d-4311-4344-a8a1-8398c4310c0a;
  style 412cbb4d-4311-4344-a8a1-8398c4310c0a stroke:#2c3143,stroke-width:4px;
  053f530b-ce75-42ee-9fbe-936c9c24a521["Output\ncluster_points"];
  21 --> 053f530b-ce75-42ee-9fbe-936c9c24a521;
  style 053f530b-ce75-42ee-9fbe-936c9c24a521 stroke:#2c3143,stroke-width:4px;
  7b37aca3-7c60-4bc2-969a-f690f1913cb1["Output\ncluster_info"];
  21 --> 7b37aca3-7c60-4bc2-969a-f690f1913cb1;
  style 7b37aca3-7c60-4bc2-969a-f690f1913cb1 stroke:#2c3143,stroke-width:4px;
  22["EcoMap"];
  21 -->|output2| 22;
  710b5075-ab58-43b0-ad7f-61e4c34dc02b["Output\neco_map"];
  22 --> 710b5075-ab58-43b0-ad7f-61e4c34dc02b;
  style 710b5075-ab58-43b0-ad7f-61e4c34dc02b 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