Workflows
These workflows are associated with Exome sequencing data analysis for diagnosing a genetic disease
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.
Exome Seq Training Pre-Mapped W Cached Ref
Wolfgang Maier
Last updated Jul 19, 2023
Launch in Tutorial Mode
License:
MIT
Tests: ✅
Results: Not yet automated
flowchart TD 0["ℹ️ Input Dataset\nFather data"]; style 0 stroke:#2c3143,stroke-width:4px; 1["ℹ️ Input Dataset\nMother data"]; style 1 stroke:#2c3143,stroke-width:4px; 2["ℹ️ Input Dataset\nProband data"]; style 2 stroke:#2c3143,stroke-width:4px; 3["ℹ️ Input Dataset\nPEDigree data"]; style 3 stroke:#2c3143,stroke-width:4px; 4["Samtools view"]; 0 -->|output| 4; 5["Samtools view"]; 1 -->|output| 5; 6["Samtools view"]; 2 -->|output| 6; 7["RmDup"]; 4 -->|outputsam| 7; 8["RmDup"]; 5 -->|outputsam| 8; 9["RmDup"]; 6 -->|outputsam| 9; 10["FreeBayes"]; 7 -->|output1| 10; 8 -->|output1| 10; 9 -->|output1| 10; 11["bcftools norm"]; 10 -->|output_vcf| 11; 12["SnpEff eff:"]; 11 -->|output_file| 12; 974b6b15-ccf7-4fe8-8a71-2b3fe8b45272["Output\nsnpeff_variant_stats"]; 12 --> 974b6b15-ccf7-4fe8-8a71-2b3fe8b45272; style 974b6b15-ccf7-4fe8-8a71-2b3fe8b45272 stroke:#2c3143,stroke-width:4px; 083b9686-5c6d-495f-9257-7243896e64d7["Output\nnormalized_snpeff_annotated_variants"]; 12 --> 083b9686-5c6d-495f-9257-7243896e64d7; style 083b9686-5c6d-495f-9257-7243896e64d7 stroke:#2c3143,stroke-width:4px; 13["GEMINI load"]; 12 -->|snpeff_output| 13; 3 -->|output| 13; 14["GEMINI inheritance pattern"]; 13 -->|outfile| 14; c5a64822-3c68-495e-b2fd-4642b1aabb5a["Output\ncandidate_mutations"]; 14 --> c5a64822-3c68-495e-b2fd-4642b1aabb5a; style c5a64822-3c68-495e-b2fd-4642b1aabb5a stroke:#2c3143,stroke-width:4px;
Exome Seq Training Full W Cached Ref
Wolfgang Maier
Last updated Jul 19, 2023
Launch in Tutorial Mode
License:
MIT
Tests: ✅
Results: Not yet automated
flowchart TD 0["ℹ️ Input Dataset\nfather_R1"]; style 0 stroke:#2c3143,stroke-width:4px; 1["ℹ️ Input Dataset\nfather_R2"]; style 1 stroke:#2c3143,stroke-width:4px; 2["ℹ️ Input Dataset\nmother_R1"]; style 2 stroke:#2c3143,stroke-width:4px; 3["ℹ️ Input Dataset\nmother_R2"]; style 3 stroke:#2c3143,stroke-width:4px; 4["ℹ️ Input Dataset\nproband_R1"]; style 4 stroke:#2c3143,stroke-width:4px; 5["ℹ️ Input Dataset\nproband_R2"]; style 5 stroke:#2c3143,stroke-width:4px; 6["ℹ️ Input Dataset\nPEDigree data"]; style 6 stroke:#2c3143,stroke-width:4px; 7["FastQC"]; 0 -->|output| 7; 8["FastQC"]; 1 -->|output| 8; 9["Map with BWA-MEM"]; 0 -->|output| 9; 1 -->|output| 9; 10["FastQC"]; 2 -->|output| 10; 11["FastQC"]; 3 -->|output| 11; 12["Map with BWA-MEM"]; 2 -->|output| 12; 3 -->|output| 12; 13["FastQC"]; 4 -->|output| 13; 14["FastQC"]; 5 -->|output| 14; 15["Map with BWA-MEM"]; 4 -->|output| 15; 5 -->|output| 15; 16["Samtools view"]; 9 -->|bam_output| 16; 17["Samtools view"]; 12 -->|bam_output| 17; 18["MultiQC"]; 7 -->|text_file| 18; 8 -->|text_file| 18; 10 -->|text_file| 18; 11 -->|text_file| 18; 13 -->|text_file| 18; 14 -->|text_file| 18; de867748-890a-454c-baf3-6a9313269975["Output\nmultiqc_input_data"]; 18 --> de867748-890a-454c-baf3-6a9313269975; style de867748-890a-454c-baf3-6a9313269975 stroke:#2c3143,stroke-width:4px; 19["Samtools view"]; 15 -->|bam_output| 19; 20["RmDup"]; 16 -->|outputsam| 20; 21["RmDup"]; 17 -->|outputsam| 21; 22["RmDup"]; 19 -->|outputsam| 22; 23["FreeBayes"]; 20 -->|output1| 23; 21 -->|output1| 23; 22 -->|output1| 23; 24["bcftools norm"]; 23 -->|output_vcf| 24; 25["SnpEff eff:"]; 24 -->|output_file| 25; 4aab5884-4099-4e41-a82d-c4e1ff19609f["Output\nsnpeff_variant_stats"]; 25 --> 4aab5884-4099-4e41-a82d-c4e1ff19609f; style 4aab5884-4099-4e41-a82d-c4e1ff19609f stroke:#2c3143,stroke-width:4px; e5a2fbc7-acdd-4782-822a-91568cb8d5b8["Output\nnormalized_snpeff_annotated_variants"]; 25 --> e5a2fbc7-acdd-4782-822a-91568cb8d5b8; style e5a2fbc7-acdd-4782-822a-91568cb8d5b8 stroke:#2c3143,stroke-width:4px; 26["GEMINI load"]; 25 -->|snpeff_output| 26; 6 -->|output| 26; 27["GEMINI inheritance pattern"]; 26 -->|outfile| 27; 07bd4bba-e7d9-48a8-b812-5dc2b07712bd["Output\ncandidate_mutations"]; 27 --> 07bd4bba-e7d9-48a8-b812-5dc2b07712bd; style 07bd4bba-e7d9-48a8-b812-5dc2b07712bd stroke:#2c3143,stroke-width:4px;
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: