Proteomics
Learn all about proteomics and how to analyze data in Galaxy. Start with the tutorial at your own pace. If you need support contact us via the Slack Channel gta_proteomics.
| Organisers(s) |
 
Pratik Jagtap
Melanie Föll
Subina Mehta
Timothy J. Griffin
|
| Instructor(s) |
Anna Syme
Gareth Price
Igor Makunin
Melanie Föll
Pratik Jagtap
Subina Mehta
Timothy J. Griffin
|
Need help with these tutorials?
Open Slack support channel for this track: comment #gta_proteomicsIntroduction
If you encounter any issue please ask us on Slack.
| Lesson | Slides | Hands-on | Recordings |
|---|---|---|---|
|
Introduction to proteomics, protein identification, quantification and statistical modelling
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| MaxQuant and MSstats for the analysis of label-free data |
Advanced analysis
If you encounter any issue please ask us on Slack.
| Lesson | Slides | Hands-on | Recordings |
|---|---|---|---|
| EncyclopeDIA | |||
| Proteogenomics 1: Database Creation | |||
| Proteogenomics 3: Novel peptide analysis | |||
| Metaproteomics tutorial |
Clinical Metaproteomics
This learning path aims to teach you the basics of how to perform metaproteomics analysis of the clinical data within the Galaxy platform. You will learn how to use Galaxy for analysis and will be guided through the most common first steps of any metaproteomics database generation to searching the database, verifying the proteins/peptides, and data analysis. If you encounter any issue please ask us on Slack.
Clinical metaproteomics workflows