GigaScience-RNAseq-Optitype-seq2HLA-to-IEDB-alleles
proteomics-neoantigen-6-predicting-hla-binding/main-workflow
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flowchart TD 0["ℹ️ Input Dataset\nR1.fastq"]; style 0 stroke:#2c3143,stroke-width:4px; 1["ℹ️ Input Dataset\nR2.fastq"]; style 1 stroke:#2c3143,stroke-width:4px; 2["Optitype"]; 0 -->|output| 2; 1 -->|output| 2; cce6a623-1f69-47f9-af17-f6d147bc6494["Output\nOptiType_on_input_datasets_result"]; 2 --> cce6a623-1f69-47f9-af17-f6d147bc6494; style cce6a623-1f69-47f9-af17-f6d147bc6494 stroke:#2c3143,stroke-width:4px; c3aeb7f3-89e2-4b9b-b8af-481955d7de61["Output\nOptiType_on_input_datasets_coverage_plot"]; 2 --> c3aeb7f3-89e2-4b9b-b8af-481955d7de61; style c3aeb7f3-89e2-4b9b-b8af-481955d7de61 stroke:#2c3143,stroke-width:4px; 3["seq2HLA"]; 0 -->|output| 3; 1 -->|output| 3; be8e1b19-4a02-4d37-b716-355aac3466d6["Output\nseq2HLA_genotype_4digits"]; 3 --> be8e1b19-4a02-4d37-b716-355aac3466d6; style be8e1b19-4a02-4d37-b716-355aac3466d6 stroke:#2c3143,stroke-width:4px; 4["Reformated-Optitype-Data"]; 2 -->|result| 4; b359062d-bb66-4ad6-a4fe-a80c71671a6a["Output\nReformated-Optitype-Data"]; 4 --> b359062d-bb66-4ad6-a4fe-a80c71671a6a; style b359062d-bb66-4ad6-a4fe-a80c71671a6a stroke:#2c3143,stroke-width:4px; 5["IEDB_alleles"]; 4 -->|outfile| 5; 3 -->|c1_genotype4digits| 5; 865da3d9-67ed-44ef-b019-f489ad834188["Output\nIEDB_Optitype_alleles"]; 5 --> 865da3d9-67ed-44ef-b019-f489ad834188; style 865da3d9-67ed-44ef-b019-f489ad834188 stroke:#2c3143,stroke-width:4px; e7f83293-69fa-44c9-9627-904c2b0dde97["Output\nIEDB-Optitype-seq2HLA-alleles"]; 5 --> e7f83293-69fa-44c9-9627-904c2b0dde97; style e7f83293-69fa-44c9-9627-904c2b0dde97 stroke:#2c3143,stroke-width:4px; cc73bee6-39bd-44d3-915c-ef38d15fe3af["Output\nIEDB_seq2HLA_alleles"]; 5 --> cc73bee6-39bd-44d3-915c-ef38d15fe3af; style cc73bee6-39bd-44d3-915c-ef38d15fe3af stroke:#2c3143,stroke-width:4px;
Inputs
Input | Label |
---|---|
Input dataset | R1.fastq |
Input dataset | R2.fastq |
Outputs
From | Output | Label |
---|---|---|
toolshed.g2.bx.psu.edu/repos/iuc/optitype/optitype/1.3.5+galaxy0 | OptiType | Optitype |
toolshed.g2.bx.psu.edu/repos/iuc/seq2hla/seq2hla/2.3+galaxy0 | seq2HLA | seq2HLA |
toolshed.g2.bx.psu.edu/repos/bgruening/text_processing/tp_awk_tool/9.3+galaxy1 | Text reformatting | Reformated-Optitype-Data |
toolshed.g2.bx.psu.edu/repos/iuc/query_tabular/query_tabular/3.3.2 | Query Tabular | IEDB_alleles |
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 | 6e4ce4916 | 2024-11-14 15:41:21 | Made sure the order is right |
For Admins
Installing the workflow tools
wget https://training.galaxyproject.org/training-material/topics/proteomics/tutorials/neoantigen-6-predicting-hla-binding/workflows/main_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