Proteogenomics 2: Database Search
proteomics-proteogenomics-dbsearch/galaxy-workflow-mouse-rnaseq-dbsearch
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flowchart TD 0["ℹ️ Input Dataset\nUniprot_cRAP_SAV_indel_translatedbed.FASTA"]; style 0 stroke:#2c3143,stroke-width:4px; 1["ℹ️ Input Collection\nMGF Collection"]; style 1 stroke:#2c3143,stroke-width:4px; 2["ℹ️ Input Dataset\nReference Protein Accessions"]; style 2 stroke:#2c3143,stroke-width:4px; 3["Identification Parameters"]; 4["Search GUI"]; 0 -->|output| 4; 3 -->|Identification_Parameters_File| 4; 1 -->|output| 4; 1e6409c7-5606-4399-9e7c-7d314f62faa7["Output\nSearch GUI on input dataset(s)"]; 4 --> 1e6409c7-5606-4399-9e7c-7d314f62faa7; style 1e6409c7-5606-4399-9e7c-7d314f62faa7 stroke:#2c3143,stroke-width:4px; 5["Peptide Shaker"]; 4 -->|searchgui_results| 5; a9c129c1-29e4-44dc-92ba-46dcbf621a69["Output\noutput_certificate"]; 5 --> a9c129c1-29e4-44dc-92ba-46dcbf621a69; style a9c129c1-29e4-44dc-92ba-46dcbf621a69 stroke:#2c3143,stroke-width:4px; 6ed85517-2c68-4c99-8b91-545d210ff76d["Output\nmzidentML"]; 5 --> 6ed85517-2c68-4c99-8b91-545d210ff76d; style 6ed85517-2c68-4c99-8b91-545d210ff76d stroke:#2c3143,stroke-width:4px; 31acbe56-7d85-4979-936a-737987acead7["Output\noutput_psm"]; 5 --> 31acbe56-7d85-4979-936a-737987acead7; style 31acbe56-7d85-4979-936a-737987acead7 stroke:#2c3143,stroke-width:4px; 6["mz to sqlite"]; 5 -->|mzidentML| 6; c4df335c-977b-4c07-92f5-5edb42ddeee9["Output\nMz to sqlite"]; 6 --> c4df335c-977b-4c07-92f5-5edb42ddeee9; style c4df335c-977b-4c07-92f5-5edb42ddeee9 stroke:#2c3143,stroke-width:4px; 7["Removing reference proteins"]; 5 -->|output_psm| 7; 5 -->|output_psm| 7; 2 -->|output| 7; 6ab25e80-3805-42c3-8895-550e278b2a3a["Output\nRemoving reference proteins"]; 7 --> 6ab25e80-3805-42c3-8895-550e278b2a3a; style 6ab25e80-3805-42c3-8895-550e278b2a3a stroke:#2c3143,stroke-width:4px; 8["Selecting sequence with length >6 and <30"]; 7 -->|output| 8; babe6986-f3d0-4687-93a1-d28fbaea1efa["Output\nSelecting sequence with length >6 and <30"]; 8 --> babe6986-f3d0-4687-93a1-d28fbaea1efa; style babe6986-f3d0-4687-93a1-d28fbaea1efa stroke:#2c3143,stroke-width:4px; 9["Peptides_for_BlastP_analysis"]; 8 -->|output| 9; d01167ef-d3f1-4dfd-89df-29a9c1e9acb8["Output\nPeptides_for_BlastP_analysis"]; 9 --> d01167ef-d3f1-4dfd-89df-29a9c1e9acb8; style d01167ef-d3f1-4dfd-89df-29a9c1e9acb8 stroke:#2c3143,stroke-width:4px;
Inputs
Input | Label |
---|---|
Input dataset | Uniprot_cRAP_SAV_indel_translatedbed.FASTA |
Input dataset collection | MGF Collection |
Input dataset | Reference Protein Accessions |
Outputs
From | Output | Label |
---|---|---|
toolshed.g2.bx.psu.edu/repos/galaxyp/peptideshaker/search_gui/4.0.41+galaxy1 | Search GUI | |
toolshed.g2.bx.psu.edu/repos/galaxyp/peptideshaker/peptide_shaker/2.0.33+galaxy1 | Peptide Shaker | |
toolshed.g2.bx.psu.edu/repos/galaxyp/mz_to_sqlite/mz_to_sqlite/2.1.1+galaxy0 | mz to sqlite | |
toolshed.g2.bx.psu.edu/repos/iuc/query_tabular/query_tabular/3.3.2 | Query Tabular | Removing reference proteins |
toolshed.g2.bx.psu.edu/repos/iuc/query_tabular/query_tabular/3.3.2 | Query Tabular | Selecting sequence with length >6 and <30 |
toolshed.g2.bx.psu.edu/repos/devteam/tabular_to_fasta/tab2fasta/1.1.1 | Tabular-to-FASTA | Peptides_for_BlastP_analysis |
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 |
---|---|---|---|
9 | e4ada1dac | 2025-05-07 17:55:33 | fix inputs and updates |
8 | 6474a188d | 2021-02-08 19:16:25 | Update galaxy-workflow-mouse_rnaseq_dbsearch.ga |
7 | 42e6b15fc | 2021-01-27 21:17:51 | Update galaxy-workflow-mouse_rnaseq_dbsearch.ga |
6 | 801137308 | 2021-01-27 21:03:27 | Update galaxy-workflow-mouse_rnaseq_dbsearch.ga |
5 | 667ff3de9 | 2020-01-22 10:59:29 | annotation |
4 | eb4d724e0 | 2020-01-15 10:41:35 | Workflow renaming |
3 | 361236c41 | 2019-04-04 09:00:14 | Changed format of workflows |
2 | 6eef55b7e | 2019-02-27 18:54:36 | Updated install_tutorial_requirements.sh + minor fixes (#1275) |
1 | 715d5f2ee | 2018-11-20 20:46:19 | fix folder names |
For Admins
Installing the workflow tools
wget https://training.galaxyproject.org/training-material/topics/proteomics/tutorials/proteogenomics-dbsearch/workflows/galaxy-workflow-mouse_rnaseq_dbsearch.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