e-learning
EncyclopeDIA
Abstract
Data Independent Acquisition (DIA) was introduced as a method to provide reproducible quantitative information as an improvement over the Data Dependent Acquisition (DDA). Despite the benefits of DIA, such as increased depth of coverage and lesser missing values, the computational analysis of the complicated and multiplexed data presents challenges. Therefore, with the rise of usage of this technique, rises a need for new and robust methods of 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 quantitative analysis using DIA data with the help of EncyclopeDIA?
- How to perform quantitation with or without Chromatogram Libraries?
Learning Objectives
- Understand the difference between DDA and DIA methods
- Performing quantitative analysis using DIA data
- Understand the purpose and benefits of using a Chromatogram Library for the detection of peptides
- You can use Bloom's Taxonomy to write effective learning objectives
Licence: Creative Commons Attribution 4.0 International
Keywords: DIA, Proteomics
Target audience: Students
Resource type: e-learning
Version: 9
Status: Active
Prerequisites:
Introduction to Galaxy Analyses
Learning objectives:
- Understand the difference between DDA and DIA methods
- Performing quantitative analysis using DIA data
- Understand the purpose and benefits of using a Chromatogram Library for the detection of peptides
- You can use Bloom's Taxonomy to write effective learning objectives
Date modified: 2024-09-30
Date published: 2021-06-21
Contributors: Emma Leith, James Johnson, Pratik Jagtap, Subina Mehta, Timothy J. Griffin
Scientific topics: Proteomics
Activity log
