Copy of PeptideDataAnalysis (imported from uploaded file) 1.0
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Associated Tutorial
This workflows is part of the tutorial Peptide Library Data Analysis, available in the GTN
Thanks to...
Tutorial Author(s): Jayadev Joshi, Daniel Blankenberg
Steps
| ID | Name | Description |
|---|---|---|
| 0 | PDAUG Peptide Data Access | toolshed.g2.bx.psu.edu/repos/jay/pdaug_peptide_data_access/pdaug_peptide_data_access/0.1.0 |
| 1 | PDAUG TSVtoFASTA | toolshed.g2.bx.psu.edu/repos/jay/pdaug_tsvtofasta/pdaug_tsvtofasta/0.1.0 |
| 2 | PDAUG Peptide Sequence Analysis | toolshed.g2.bx.psu.edu/repos/jay/pdaug_peptide_sequence_analysis/pdaug_peptide_sequence_analysis/0.1.0 |
| 3 | PDAUG Sequence Property Based Descriptors | toolshed.g2.bx.psu.edu/repos/jay/pdaug_sequence_property_based_descriptors/pdaug_sequence_property_based_descriptors/0.1.0 |
| 4 | PDAUG Sequence Property Based Descriptors | toolshed.g2.bx.psu.edu/repos/jay/pdaug_sequence_property_based_descriptors/pdaug_sequence_property_based_descriptors/0.1.0 |
| 5 | PDAUG Fisher's Plot | toolshed.g2.bx.psu.edu/repos/jay/pdaug_fishers_plot/pdaug_fishers_plot/0.1.0 |
| 6 | AMP | toolshed.g2.bx.psu.edu/repos/jay/pdaug_addclasslabel/pdaug_addclasslabel/0.1.0 |
| 7 | TMP | toolshed.g2.bx.psu.edu/repos/jay/pdaug_addclasslabel/pdaug_addclasslabel/0.1.0 |
| 8 | PDAUG Merge Dataframes | toolshed.g2.bx.psu.edu/repos/jay/pdaug_merge_dataframes/pdaug_merge_dataframes/0.1.0 |
| 9 | PDAUG Basic Plots | toolshed.g2.bx.psu.edu/repos/jay/pdaug_basic_plots/pdaug_basic_plots/0.1.0 |
Outputs
| ID | Name | Description | Type |
|---|---|---|---|
| _anonymous_output_1 | #main/_anonymous_output_1 | n/a |
|
| _anonymous_output_2 | #main/_anonymous_output_2 | n/a |
|
| _anonymous_output_3 | #main/_anonymous_output_3 | n/a |
|
Version History
master
Creators and Submitter
Views: 2125 Downloads: 306 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.
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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!
