'Biomarkers4Paris' Workflow 3.0
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Run on GalaxyBiomarker candidate identification
Associated Tutorial
This workflows is part of the tutorial Biomarker candidate identification, available in the GTN
Thanks to...
Tutorial Author(s): Florence Combes, David Christiany, Valentin Loux, Yves Vandenbrouck
Steps
| ID | Name | Description |
|---|---|---|
| 0 | Build tissue-specific expression dataset | toolshed.g2.bx.psu.edu/repos/proteore/proteore_tissue_specific_expression_data/retrieve_from_hpa/2019.02.27 |
| 1 | Build tissue-specific expression dataset | toolshed.g2.bx.psu.edu/repos/proteore/proteore_tissue_specific_expression_data/retrieve_from_hpa/2019.02.27 |
| 2 | Filter by keywords and/or numerical value | toolshed.g2.bx.psu.edu/repos/proteore/proteore_filter_keywords_values/MQoutputfilter/2019.03.05 |
| 3 | Venn diagram | toolshed.g2.bx.psu.edu/repos/proteore/proteore_venn_diagram/Jvenn/2018.12.18 |
| 4 | Cut | toolshed.g2.bx.psu.edu/repos/bgruening/text_processing/tp_cut_tool/1.0.0 |
| 5 | Filter by keywords and/or numerical value | toolshed.g2.bx.psu.edu/repos/proteore/proteore_filter_keywords_values/MQoutputfilter/2019.03.05 |
| 6 | Add expression data | toolshed.g2.bx.psu.edu/repos/proteore/proteore_expression_rnaseq_abbased/rna_abbased_data/2019.03.07 |
| 7 | Filter by keywords and/or numerical value | toolshed.g2.bx.psu.edu/repos/proteore/proteore_filter_keywords_values/MQoutputfilter/2019.03.05 |
| 8 | ID Converter | toolshed.g2.bx.psu.edu/repos/proteore/proteore_id_converter/IDconverter/2019.01.28 |
| 9 | Add protein features | toolshed.g2.bx.psu.edu/repos/proteore/proteore_prot_features/prot_features/2019.01.18 |
| 10 | Filter by keywords and/or numerical value | toolshed.g2.bx.psu.edu/repos/proteore/proteore_filter_keywords_values/MQoutputfilter/2019.03.05 |
| 11 | Get MS/MS observations in tissue/fluid | toolshed.g2.bx.psu.edu/repos/proteore/proteore_ms_observation_pepatlas/retr_pepatlas1/2019.02.01.1 |
| 12 | Filter by keywords and/or numerical value | toolshed.g2.bx.psu.edu/repos/proteore/proteore_filter_keywords_values/MQoutputfilter/2019.03.05 |
Version History
master
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Views: 1073 Downloads: 171 Runs: 0
Created: 2nd Jun 2025 at 10:51
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Teams: Galaxy Training Network
Organizations: Galaxy
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Galaxy is an open, web-based platform for accessible, reproducible, and transparent computational biological research.
- Accessible: Users can easily run tools without writing code or using the CLI; all via a user-friendly web interface.
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Teams: Galaxy Training Network, usegalaxy-eu, Intergalactic Workflow Commission (IWC)
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The Galaxy Training Network (GTN) is a collection of hands-on tutorials that are designed to be interactive and are built around Galaxy.
These tutorials can be used for learning and teaching how to use Galaxy for general data analysis, as well as a wide array of hands-on tutorials covering specific domains such as assembly, RNA-Seq analysis, deep learning, climate analysis, and more!
