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; f480241e-929f-400e-822e-5e18312f7ecd["Output\nocc_out"]; 16 --> f480241e-929f-400e-822e-5e18312f7ecd; style f480241e-929f-400e-822e-5e18312f7ecd stroke:#2c3143,stroke-width:4px; 17["GeoNearestNeighbor"]; 2 -->|output| 17; 16 -->|output_dataset| 17; d3a2d8fe-0e1f-4b0b-918b-2d54fe5eca27["Output\nocc_env_out"]; 17 --> d3a2d8fe-0e1f-4b0b-918b-2d54fe5eca27; style d3a2d8fe-0e1f-4b0b-918b-2d54fe5eca27 stroke:#2c3143,stroke-width:4px; 07023ca1-5bac-4381-b21c-f6303dd3ff96["Output\ninfo_out"]; 17 --> 07023ca1-5bac-4381-b21c-f6303dd3ff96; style 07023ca1-5bac-4381-b21c-f6303dd3ff96 stroke:#2c3143,stroke-width:4px; 18["BRT tool prediction"]; 2 -->|output| 18; 17 -->|occ_env_out| 18; 8a8c09fa-d774-419e-8059-009eed0f08b1["Output\ncoll_pred"]; 18 --> 8a8c09fa-d774-419e-8059-009eed0f08b1; style 8a8c09fa-d774-419e-8059-009eed0f08b1 stroke:#2c3143,stroke-width:4px; 3af0a342-88e8-43d3-b7a3-4316ebd6a4cc["Output\ncoll_val"]; 18 --> 3af0a342-88e8-43d3-b7a3-4316ebd6a4cc; style 3af0a342-88e8-43d3-b7a3-4316ebd6a4cc stroke:#2c3143,stroke-width:4px; ce2d07cd-203d-40db-a3da-4cf0fc511b00["Output\ncoll_distri"]; 18 --> ce2d07cd-203d-40db-a3da-4cf0fc511b00; style ce2d07cd-203d-40db-a3da-4cf0fc511b00 stroke:#2c3143,stroke-width:4px; c4ec097f-dedc-4eb4-8290-22315b48cd85["Output\ncoll_plots"]; 18 --> c4ec097f-dedc-4eb4-8290-22315b48cd85; style c4ec097f-dedc-4eb4-8290-22315b48cd85 stroke:#2c3143,stroke-width:4px; 19["TaxaSeeker"]; 2 -->|output| 19; 17 -->|occ_env_out| 19; 18 -->|outputpred| 19; 4808441d-e4e0-445c-8361-c260a92f7fef["Output\nsummary"]; 19 --> 4808441d-e4e0-445c-8361-c260a92f7fef; style 4808441d-e4e0-445c-8361-c260a92f7fef stroke:#2c3143,stroke-width:4px; 188bcadb-262e-4845-b671-28fe9fbe3da1["Output\ntaxa"]; 19 --> 188bcadb-262e-4845-b671-28fe9fbe3da1; style 188bcadb-262e-4845-b671-28fe9fbe3da1 stroke:#2c3143,stroke-width:4px; 2a5dac2b-3955-4aab-98a5-58a50db6afb3["Output\ntaxa_clean"]; 19 --> 2a5dac2b-3955-4aab-98a5-58a50db6afb3; style 2a5dac2b-3955-4aab-98a5-58a50db6afb3 stroke:#2c3143,stroke-width:4px; 20["ClusterEstimate"]; 2 -->|output| 20; 18 -->|outputpred| 20; 19 -->|output2| 20; 16462bcc-afeb-416a-8253-67682cefbd83["Output\nSIH_index"]; 20 --> 16462bcc-afeb-416a-8253-67682cefbd83; style 16462bcc-afeb-416a-8253-67682cefbd83 stroke:#2c3143,stroke-width:4px; 1fa33693-5bc5-4196-8b37-ce27797e76fe["Output\ndata_to_clus"]; 20 --> 1fa33693-5bc5-4196-8b37-ce27797e76fe; style 1fa33693-5bc5-4196-8b37-ce27797e76fe stroke:#2c3143,stroke-width:4px; 33899744-d084-4fca-a76f-7415ede6f14c["Output\ndatabio_table"]; 20 --> 33899744-d084-4fca-a76f-7415ede6f14c; style 33899744-d084-4fca-a76f-7415ede6f14c stroke:#2c3143,stroke-width:4px; 21["ClaraClust"]; 2 -->|output| 21; 20 -->|output3| 21; 20 -->|output2| 21; b9e309eb-f4d4-41cb-a443-bb4b284e52e2["Output\nSIH_plot"]; 21 --> b9e309eb-f4d4-41cb-a443-bb4b284e52e2; style b9e309eb-f4d4-41cb-a443-bb4b284e52e2 stroke:#2c3143,stroke-width:4px; 3333fbdf-0c4f-47de-ad61-1f7912ef665e["Output\ncluster_points"]; 21 --> 3333fbdf-0c4f-47de-ad61-1f7912ef665e; style 3333fbdf-0c4f-47de-ad61-1f7912ef665e stroke:#2c3143,stroke-width:4px; d444edaa-9151-4ace-afb1-979392997535["Output\ncluster_info"]; 21 --> d444edaa-9151-4ace-afb1-979392997535; style d444edaa-9151-4ace-afb1-979392997535 stroke:#2c3143,stroke-width:4px; 22["EcoMap"]; 21 -->|output2| 22; 48b16d51-5494-40df-8c9a-6e2f23d0bad3["Output\neco_map"]; 22 --> 48b16d51-5494-40df-8c9a-6e2f23d0bad3; style 48b16d51-5494-40df-8c9a-6e2f23d0bad3 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