DIA_Analysis_OSW
proteomics-DIA_Analysis_OSW/galaxy-workflow--dia-training-using-hek-ecoli-3-eg-data-
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flowchart TD 0["ℹ️ Input Dataset\nInput exp. design annotation"]; style 0 stroke:#2c3143,stroke-width:4px; 1["ℹ️ Input Dataset\niRTassays.tsv"]; style 1 stroke:#2c3143,stroke-width:4px; 2["ℹ️ Input Dataset\nSpectral library"]; style 2 stroke:#2c3143,stroke-width:4px; 3["ℹ️ Input Collection\n”Input Dataset Collection”"]; style 3 stroke:#2c3143,stroke-width:4px; 4["msconvert"]; 3 -->|output| 4; 5["OpenSwathWorkflow"]; 4 -->|output| 5; 2 -->|output| 5; 1 -->|output| 5; 6["PyProphet merge"]; 5 -->|out_osw| 6; 2 -->|output| 6; 7["PyProphet score"]; 6 -->|output| 7; 8["PyProphet peptide"]; 7 -->|output| 8; 9["PyProphet peptide"]; 8 -->|output| 9; 10["PyProphet protein"]; 9 -->|output| 10; 11["PyProphet protein"]; 10 -->|output| 11; 12["PyProphet export"]; 0 -->|output| 12; 11 -->|output| 12; 13["Ecoli protein expression matrix"]; 12 -->|protein_signal| 13;
Inputs
Input | Label |
---|---|
Input dataset | Input exp. design annotation |
Input dataset | iRTassays.tsv |
Input dataset | Spectral library |
Input dataset collection | "Input Dataset Collection" |
Outputs
From | Output | Label |
---|---|---|
Input dataset | Input exp. design annotation | |
Input dataset | iRTassays.tsv | |
Input dataset | Spectral library | |
Input dataset collection | "Input Dataset Collection" | |
toolshed.g2.bx.psu.edu/repos/galaxyp/msconvert/msconvert/3.0.19052.1 | msconvert | |
toolshed.g2.bx.psu.edu/repos/galaxyp/openms_openswathworkflow/OpenSwathWorkflow/2.5+galaxy0 | OpenSwathWorkflow | |
toolshed.g2.bx.psu.edu/repos/galaxyp/pyprophet_merge/pyprophet_merge/2.1.4.0 | PyProphet merge | |
toolshed.g2.bx.psu.edu/repos/galaxyp/pyprophet_score/pyprophet_score/2.1.4.2 | PyProphet score | |
toolshed.g2.bx.psu.edu/repos/galaxyp/pyprophet_peptide/pyprophet_peptide/2.1.4.0 | PyProphet peptide | |
toolshed.g2.bx.psu.edu/repos/galaxyp/pyprophet_peptide/pyprophet_peptide/2.1.4.0 | PyProphet peptide | |
toolshed.g2.bx.psu.edu/repos/galaxyp/pyprophet_protein/pyprophet_protein/2.1.4.0 | PyProphet protein | |
toolshed.g2.bx.psu.edu/repos/galaxyp/pyprophet_protein/pyprophet_protein/2.1.4.0 | PyProphet protein | |
toolshed.g2.bx.psu.edu/repos/galaxyp/pyprophet_export/pyprophet_export/2.1.4.1 | PyProphet export | |
Grep1 | Select | Ecoli protein expression matrix |
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:
Version History
Version | Commit | Time | Comments |
---|---|---|---|
2 | 15a13c366 | 2020-12-02 17:50:43 | updated workflow annotation and name |
1 | e8f20c190 | 2020-12-02 17:31:58 | generated three tutorials on DIA data analysis in galaxy |
For Admins
Installing the workflow tools
wget https://training.galaxyproject.org/training-material/topics/proteomics/tutorials/DIA_Analysis_OSW/workflows/Galaxy-Workflow-_DIA_Training_using_HEK_Ecoli_3_EG_data_.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