Workflow constructed from history 'Computer assignment RNA seq analysis and visualisation -BMW2 - attempt 3'
transcriptomics-rna-seq-analysis-clustering-viz/rna-seq-analysis-and-visualisation
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flowchart TD 0["ℹ️ Input Dataset\np53_mock_1.csv"]; style 0 stroke:#2c3143,stroke-width:4px; 1["ℹ️ Input Dataset\np53_mock_2.csv"]; style 1 stroke:#2c3143,stroke-width:4px; 2["ℹ️ Input Dataset\np53_mock_3.csv"]; style 2 stroke:#2c3143,stroke-width:4px; 3["ℹ️ Input Dataset\np53_mock_4.csv"]; style 3 stroke:#2c3143,stroke-width:4px; 4["ℹ️ Input Dataset\np53_IR_1.csv"]; style 4 stroke:#2c3143,stroke-width:4px; 5["ℹ️ Input Dataset\np53_IR_2.csv"]; style 5 stroke:#2c3143,stroke-width:4px; 6["ℹ️ Input Dataset\np53_IR_3.csv"]; style 6 stroke:#2c3143,stroke-width:4px; 7["ℹ️ Input Dataset\np53_IR_4.csv"]; style 7 stroke:#2c3143,stroke-width:4px; 8["ℹ️ Input Dataset\nnull_mock_1.csv"]; style 8 stroke:#2c3143,stroke-width:4px; 9["ℹ️ Input Dataset\nnull_mock_2.csv"]; style 9 stroke:#2c3143,stroke-width:4px; 10["ℹ️ Input Dataset\nnull_IR_1.csv"]; style 10 stroke:#2c3143,stroke-width:4px; 11["ℹ️ Input Dataset\nnull_IR_2.csv"]; style 11 stroke:#2c3143,stroke-width:4px; 12["ℹ️ Input Dataset\nInput dataset"]; style 12 stroke:#2c3143,stroke-width:4px; 13["ℹ️ Input Dataset\nInput dataset"]; style 13 stroke:#2c3143,stroke-width:4px; 14["ℹ️ Input Dataset\nInput dataset"]; style 14 stroke:#2c3143,stroke-width:4px; 15["ℹ️ Input Dataset\nInput dataset"]; style 15 stroke:#2c3143,stroke-width:4px; 16["ℹ️ Input Dataset\nInput dataset"]; style 16 stroke:#2c3143,stroke-width:4px; 17["ℹ️ Input Dataset\nInput dataset"]; style 17 stroke:#2c3143,stroke-width:4px; 18["ℹ️ Input Dataset\nInput dataset"]; style 18 stroke:#2c3143,stroke-width:4px; 19["ℹ️ Input Dataset\nInput dataset"]; style 19 stroke:#2c3143,stroke-width:4px; 20["ℹ️ Input Dataset\nInput dataset"]; style 20 stroke:#2c3143,stroke-width:4px; 21["ℹ️ Input Dataset\nInput dataset"]; style 21 stroke:#2c3143,stroke-width:4px; 22["ℹ️ Input Dataset\nInput dataset"]; style 22 stroke:#2c3143,stroke-width:4px; 23["ℹ️ Input Dataset\nInput dataset"]; style 23 stroke:#2c3143,stroke-width:4px; 24["ℹ️ Input Dataset\nInput dataset"]; style 24 stroke:#2c3143,stroke-width:4px; 25["ℹ️ Input Dataset\nInput dataset"]; style 25 stroke:#2c3143,stroke-width:4px; 26["ℹ️ Input Dataset\nAnnotation file"]; style 26 stroke:#2c3143,stroke-width:4px; 27["ℹ️ Input Dataset\nheader"]; style 27 stroke:#2c3143,stroke-width:4px; 28["ℹ️ Input Dataset\nGSE71176_sample_metadata.txt"]; style 28 stroke:#2c3143,stroke-width:4px; 29["ℹ️ Input Dataset\nGSE71176_variable_metadata.txt"]; style 29 stroke:#2c3143,stroke-width:4px; 30["ℹ️ Input Dataset\nInput dataset"]; style 30 stroke:#2c3143,stroke-width:4px; 31["ℹ️ Input Dataset\nInput dataset"]; style 31 stroke:#2c3143,stroke-width:4px; 32["ℹ️ Input Dataset\nInput dataset"]; style 32 stroke:#2c3143,stroke-width:4px; 33["ℹ️ Input Dataset\nInput dataset"]; style 33 stroke:#2c3143,stroke-width:4px; 34["ℹ️ Input Dataset\nInput dataset"]; style 34 stroke:#2c3143,stroke-width:4px; 35["ℹ️ Input Dataset\nInput dataset"]; style 35 stroke:#2c3143,stroke-width:4px; 36["DESeq2"]; 18 -->|output| 36; 19 -->|output| 36; 20 -->|output| 36; 21 -->|output| 36; 24 -->|output| 36; 25 -->|output| 36; 14 -->|output| 36; 15 -->|output| 36; 16 -->|output| 36; 17 -->|output| 36; 22 -->|output| 36; 23 -->|output| 36; 22 -->|output| 36; 23 -->|output| 36; 24 -->|output| 36; 25 -->|output| 36; 14 -->|output| 36; 15 -->|output| 36; 16 -->|output| 36; 17 -->|output| 36; 18 -->|output| 36; 19 -->|output| 36; 20 -->|output| 36; 21 -->|output| 36; 37["DESeq2"]; 22 -->|output| 37; 23 -->|output| 37; 24 -->|output| 37; 25 -->|output| 37; 14 -->|output| 37; 15 -->|output| 37; 16 -->|output| 37; 17 -->|output| 37; 18 -->|output| 37; 19 -->|output| 37; 20 -->|output| 37; 21 -->|output| 37; 18 -->|output| 37; 19 -->|output| 37; 20 -->|output| 37; 21 -->|output| 37; 24 -->|output| 37; 25 -->|output| 37; 14 -->|output| 37; 15 -->|output| 37; 16 -->|output| 37; 17 -->|output| 37; 22 -->|output| 37; 23 -->|output| 37; 38["Gene length and GC content"]; 26 -->|output| 38; 39["Filter"]; 36 -->|deseq_out| 39; 40["Table Compute"]; 36 -->|vst_out| 40; 41["Table Compute"]; 36 -->|vst_out| 41; 42["Volcano Plot"]; 37 -->|deseq_out| 42; 43["Join"]; 36 -->|deseq_out| 43; 38 -->|length| 43; 44["Sort"]; 39 -->|out_file1| 44; 45["Join"]; 36 -->|vst_out| 45; 40 -->|table| 45; 46["Compute"]; 43 -->|output| 46; 47["Annotate DESeq2/DEXSeq output tables"]; 26 -->|output| 47; 44 -->|outfile| 47; 48["Join"]; 45 -->|output| 48; 41 -->|table| 48; 49["Cut"]; 46 -->|out_file1| 49; 50["Cut"]; 46 -->|out_file1| 50; 51["Concatenate datasets"]; 27 -->|output| 51; 47 -->|output| 51; 52["Compute"]; 48 -->|output| 52; 53["goseq"]; 49 -->|out_file1| 53; 50 -->|out_file1| 53; 54["goseq"]; 49 -->|out_file1| 54; 50 -->|out_file1| 54; 55["Volcano Plot"]; 51 -->|out_file1| 55; 56["Cut"]; 51 -->|out_file1| 56; 57["Sort"]; 52 -->|out_file1| 57; 58["Select first"]; 57 -->|outfile| 58; 59["Cut"]; 58 -->|out_file1| 59; 60["Cut"]; 59 -->|out_file1| 60; 61["heatmap2"]; 59 -->|out_file1| 61; 62["heatmap2"]; 59 -->|out_file1| 62; 63["heatmap2"]; 59 -->|out_file1| 63; 64["Multivariate"]; 59 -->|out_file1| 64; 35 -->|output| 64; 60 -->|out_file1| 64; 65["Multivariate"]; 59 -->|out_file1| 65; 35 -->|output| 65; 60 -->|out_file1| 65;
Inputs
Input | Label |
---|---|
Input dataset | p53_mock_1.csv |
Input dataset | p53_mock_2.csv |
Input dataset | p53_mock_3.csv |
Input dataset | p53_mock_4.csv |
Input dataset | p53_IR_1.csv |
Input dataset | p53_IR_2.csv |
Input dataset | p53_IR_3.csv |
Input dataset | p53_IR_4.csv |
Input dataset | null_mock_1.csv |
Input dataset | null_mock_2.csv |
Input dataset | null_IR_1.csv |
Input dataset | null_IR_2.csv |
Input dataset | |
Input dataset | |
Input dataset | |
Input dataset | |
Input dataset | |
Input dataset | |
Input dataset | |
Input dataset | |
Input dataset | |
Input dataset | |
Input dataset | |
Input dataset | |
Input dataset | |
Input dataset | |
Input dataset | Annotation file |
Input dataset | header |
Input dataset | GSE71176_sample_metadata.txt |
Input dataset | GSE71176_variable_metadata.txt |
Input dataset | |
Input dataset | |
Input dataset | |
Input dataset | |
Input dataset | |
Input dataset |
Outputs
From | Output | Label |
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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 | 0d64e9c4d | 2025-05-28 10:30:14 | add workflow |
For Admins
Installing the workflow tools
wget https://training.galaxyproject.org/training-material/topics/transcriptomics/tutorials/rna-seq-analysis-clustering-viz/workflows/RNA_seq_analysis_and_visualisation.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