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) orcid logoPratik Jagtap avatar Pratik Jagtap orcid logoMelanie Föll avatar Melanie Föll orcid logoSubina Mehta avatar Subina Mehta orcid logoTimothy J. Griffin avatar Timothy J. Griffin
Instructor(s) orcid logoAnna Syme avatar Anna Syme Gareth Price avatar Gareth Price Igor Makunin avatar Igor Makunin orcid logoMelanie Föll avatar Melanie Föll orcid logoPratik Jagtap avatar Pratik Jagtap orcid logoSubina Mehta avatar Subina Mehta orcid logoTimothy J. Griffin avatar Timothy J. Griffin

Need help with these tutorials?

Open Slack support channel for this track:   #gta_proteomics

Introduction

If you encounter any issue please ask us on Slack.

Lesson Slides Hands-on Recordings
Introduction to proteomics, protein identification, quantification and statistical modelling
MaxQuant and MSstats for the analysis of label-free data
label-free

Advanced analysis

If you encounter any issue please ask us on Slack.

Lesson Slides Hands-on Recordings
EncyclopeDIA
DIA
Proteogenomics 1: Database Creation
proteogenomics
Proteogenomics 3: Novel peptide analysis
proteogenomics
Metaproteomics tutorial
microgalaxy

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