Module: Proteomics Basics

Get up to speed with the basics of proteomics in Galaxy to get the most out of the GCC2022 proteomics training sessions!

Introduction to proteomics, protein identification, quantification and statistical modelling

Description:	This lecture will provide an introduction to mass spectrometry (MS) based proteomics analysis. Slides created by Melanie Föll.
Length:	20 minutes
Captions:	Melanie Föll
Created:	15 February 2021
Materials:	Slides: Version in Video \| Latest Version
Support:	Slack: #proteomics_introduction Slack Invite Gitter Galaxy Help Forum
Learning Objectives:

Go to the video page to see all versions.

MaxQuant and MSstats for the analysis of label-free data

Description:	Modern mass spectrometry-based proteomics enables the identification and quantification of thousands of proteins. Therefore, quantitative mass spectrometry represents an indispensable technology for biological and clinical research. Statistical analyses are required for the unbiased answering of scientific questions and to uncover all important information in the proteomic data. In this training we will cover the full analysis workflow from label-free, data dependent acquisition (DDA) raw data to statistical results. We’ll use two popular quantitative proteomics software: MaxQuant and MSstats.
Length:	1 hour
Captions:	Melanie Föll
Created:	15 February 2021
Materials:	Tutorial: Version in Video \| Latest Version FAQs Galaxy History of this tutorial
Support:	Slack: #proteomics_maxquant-msstats-dda-lfq Slack Invite Gitter Galaxy Help Forum
Supported Servers:	Known Working UseGalaxy.eu ⭐️ Possibly Working UseGalaxy.be UseGalaxy.no UseGalaxy.org (Main) UseGalaxy.org.au
Learning Objectives:	Learn how to use MaxQuant and MSstats for the analysis of label-free shotgun (DDA) data

Go to the video page to see all versions.