WF1_Database_Generation_Workflow
proteomics-clinical-mp-1-database-generation/wf1-database-generation-workflow
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flowchart TD 0["ℹ️ Input Dataset\nHUMAN SwissProt Protein Database"]; style 0 stroke:#2c3143,stroke-width:4px; 1["ℹ️ Input Collection\nInput MGF files Dataset Collection"]; style 1 stroke:#2c3143,stroke-width:4px; 2["ℹ️ Input Dataset\nSpecies_UniProt_FASTA"]; style 2 stroke:#2c3143,stroke-width:4px; 3["ℹ️ Input Dataset\nContaminants cRAP Protein Database "]; style 3 stroke:#2c3143,stroke-width:4px; 4["Human UniProt Microbial Proteins cRAP for MetaNovo"]; 0 -->|output| 4; 2 -->|output| 4; 3 -->|output| 4; 286f5bd4-fb0d-4649-8dac-f191acc72722["Output\nHuman UniProt Microbial Proteins cRAP for MetaNovo"]; 4 --> 286f5bd4-fb0d-4649-8dac-f191acc72722; style 286f5bd4-fb0d-4649-8dac-f191acc72722 stroke:#2c3143,stroke-width:4px; 5["MetaNovo"]; 4 -->|output| 5; 1 -->|output| 5; 6["FASTA Merge Files and Filter Unique Sequences"]; 0 -->|output| 6; 5 -->|output_fasta| 6; 3 -->|output| 6; de57cd9d-ac05-4397-9d44-e65620913447["Output\nHuman UniProt Microbial Proteins (from MetaNovo) and cRAP "]; 6 --> de57cd9d-ac05-4397-9d44-e65620913447; style de57cd9d-ac05-4397-9d44-e65620913447 stroke:#2c3143,stroke-width:4px;
Inputs
Input | Label |
---|---|
Input dataset | HUMAN SwissProt Protein Database |
Input dataset collection | Input MGF files (Dataset Collection) |
Input dataset | Species_UniProt_FASTA |
Input dataset | Contaminants (cRAP) Protein Database |
Outputs
From | Output | Label |
---|---|---|
toolshed.g2.bx.psu.edu/repos/galaxyp/fasta_merge_files_and_filter_unique_sequences/fasta_merge_files_and_filter_unique_sequences/1.2.0 | FASTA Merge Files and Filter Unique Sequences | Human UniProt Microbial Proteins cRAP for MetaNovo |
toolshed.g2.bx.psu.edu/repos/galaxyp/metanovo/metanovo/1.9.4+galaxy4 | MetaNovo | |
toolshed.g2.bx.psu.edu/repos/galaxyp/fasta_merge_files_and_filter_unique_sequences/fasta_merge_files_and_filter_unique_sequences/1.2.0 | FASTA Merge Files and Filter Unique Sequences |
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 Workflow on the top menu bar of Galaxy. 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 | 9a94b97ce | 2024-08-08 11:22:48 | add workflow |
For Admins
Installing the workflow tools
wget https://training.galaxyproject.org/training-material/topics/proteomics/tutorials/clinical-mp-1-database-generation/workflows/WF1_Database_Generation_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