e-learning
Statistical analysis of DIA data
Abstract
This training covers the statistical analysis of data independent acquisition (DIA) mass spectrometry (MS) data, after successfull identification and quantification of peptides and proteins. We therefore recommend to first go through the DIA library generation tutorial as well as the DIA analysis tutorial, which teach the principles and characteristics of DIA data analysis.
About This Material
This is a Hands-on Tutorial from the GTN which is usable either for individual self-study, or as a teaching material in a classroom.
Questions this will address
- How to perform statistical analysis on DIA mass spectrometry data?
- How to detect and quantify differentially abundant proteins in a HEK-Ecoli Benchmark DIA datatset?
Learning Objectives
- Statistical analysis of a HEK-Ecoli Benchmark DIA dataset
- Understanding statistical approaches in proteomic analysis
- Using MSstats to find significantly dysregulated proteins in a Spike-in dataset
Licence: Creative Commons Attribution 4.0 International
Keywords: DIA, Proteomics
Competency level: •• Intermediate
Target audience: Students
Resource type: e-learning
Version: 9
Status: Active
Prerequisites:
- DIA Analysis using OpenSwathWorkflow
- Introduction to Galaxy Analyses
- Library Generation for DIA Analysis
Learning objectives:
- Statistical analysis of a HEK-Ecoli Benchmark DIA dataset
- Understanding statistical approaches in proteomic analysis
- Using MSstats to find significantly dysregulated proteins in a Spike-in dataset
Date modified: 2023-11-09
Date published: 2020-12-02
Authors: 
Melanie Föll, Matthias Fahrner
Contributors: Björn Grüning, Melanie Föll, Subina Mehta
Scientific topics: Proteomics
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