Music Stage 2 - Inferring cellular proportions
single-cell-bulk-deconvolution-evaluate/deconv-eval-stage-2-deconv
Launch in Tutorial Mode
question
galaxy-download Download
galaxy-download Download
flowchart TD 0["ℹ️ Input Collection\nPseudobulk - A"]; style 0 stroke:#2c3143,stroke-width:4px; 1["ℹ️ Input Collection\nPseudobulk - B"]; style 1 stroke:#2c3143,stroke-width:4px; 2["ℹ️ Input Collection\nESet Reference scRNA-seq"]; style 2 stroke:#2c3143,stroke-width:4px; 3["ℹ️ Input Parameter\nCell Types Label from scRNA dataset"]; style 3 fill:#ded,stroke:#393,stroke-width:4px; 4["ℹ️ Input Parameter\nSamples Identifer from scRNA dataset"]; style 4 fill:#ded,stroke:#393,stroke-width:4px; 5["ℹ️ Input Parameter\nCell types to use from scRNA dataset"]; style 5 fill:#ded,stroke:#393,stroke-width:4px; 6["ℹ️ Input Collection\nActuals - B"]; style 6 stroke:#2c3143,stroke-width:4px; 7["ℹ️ Input Collection\nActuals - A"]; style 7 stroke:#2c3143,stroke-width:4px; 8["Combine Matrices"]; 0 -->|output| 8; 1 -->|output| 8; 9["Get phenotype names"]; 8 -->|output| 9; 10["Construct Expression Set Object"]; 8 -->|output| 10; 9 -->|outfile| 10; 11["MuSiC Deconvolution"]; 10 -->|out_rds| 11; 5 -->|output| 11; 3 -->|output| 11; 4 -->|output| 11; 2 -->|output| 11; 5eeea4d0-88b4-49e2-99b0-66a2ea93119b["Output\nMuSiC Deconvolution on input dataset(s): Proportion Matrices"]; 11 --> 5eeea4d0-88b4-49e2-99b0-66a2ea93119b; style 5eeea4d0-88b4-49e2-99b0-66a2ea93119b stroke:#2c3143,stroke-width:4px; 12["Transpose inferred cell proportions"]; 11 -->|props| 12; 13["B_inferred"]; 12 -->|out_file| 13; 14["A_inferred"]; 12 -->|out_file| 14; 15["B_proportions_actual-infer"]; 13 -->|output| 15; 6 -->|output| 15; 16["A_proportions_actual-infer"]; 14 -->|output| 16; 7 -->|output| 16; 17["B - Music Results"]; 15 -->|outfile| 17; d495cd0f-623b-4f59-a4e9-94f498c75fa2["Output\nB - Music Results"]; 17 --> d495cd0f-623b-4f59-a4e9-94f498c75fa2; style d495cd0f-623b-4f59-a4e9-94f498c75fa2 stroke:#2c3143,stroke-width:4px; 18["B - NNLS Results"]; 15 -->|outfile| 18; a81645e1-84b0-4b12-a608-722040f58e11["Output\nB - NNLS Results"]; 18 --> a81645e1-84b0-4b12-a608-722040f58e11; style a81645e1-84b0-4b12-a608-722040f58e11 stroke:#2c3143,stroke-width:4px; 19["A - Music Results"]; 16 -->|outfile| 19; e9dc2c1e-1c9e-40cc-8288-d1a5bdf651fe["Output\nA - Music Results"]; 19 --> e9dc2c1e-1c9e-40cc-8288-d1a5bdf651fe; style e9dc2c1e-1c9e-40cc-8288-d1a5bdf651fe stroke:#2c3143,stroke-width:4px; 20["A - NNLS Results"]; 16 -->|outfile| 20; 9fcde9e0-cdcc-401b-8157-65340694268b["Output\nA - NNLS Results"]; 20 --> 9fcde9e0-cdcc-401b-8157-65340694268b; style 9fcde9e0-cdcc-401b-8157-65340694268b stroke:#2c3143,stroke-width:4px;
Inputs
Input | Label |
---|---|
Input dataset collection | Pseudobulk - A |
Input dataset collection | Pseudobulk - B |
Input dataset collection | ESet Reference scRNA-seq |
Input parameter | Cell Types Label from scRNA dataset |
Input parameter | Samples Identifer from scRNA dataset |
Input parameter | Cell types to use from scRNA dataset |
Input dataset collection | Actuals - B |
Input dataset collection | Actuals - A |
Outputs
From | Output | Label |
---|---|---|
Input parameter | Cell Types Label from scRNA dataset | |
Input parameter | Samples Identifer from scRNA dataset | |
Input parameter | Cell types to use from scRNA dataset | |
toolshed.g2.bx.psu.edu/repos/bgruening/music_construct_eset/music_construct_eset/0.1.1+galaxy4 | Construct Expression Set Object | |
toolshed.g2.bx.psu.edu/repos/bgruening/music_deconvolution/music_deconvolution/0.1.1+galaxy4 | MuSiC Deconvolution | |
Cut1 | Cut | B - Music Results |
Cut1 | Cut | B - NNLS Results |
Cut1 | Cut | A - Music Results |
Cut1 | Cut | A - NNLS Results |
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 |
---|---|---|---|
4 | b65673b62 | 2025-01-17 16:21:06 | add workflow testing |
3 | 34d7ecdab | 2025-01-16 14:53:12 | add a licence to the workflows |
2 | 83ea1db0b | 2025-01-16 14:46:00 | add author metadata to workflows |
1 | 1d02ea013 | 2025-01-16 12:04:13 | add workflow files |
For Admins
Installing the workflow tools
wget https://training.galaxyproject.org/training-material/topics/single-cell/tutorials/bulk-deconvolution-evaluate/workflows/deconv-eval-stage-2-deconv.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