I Introduction
Workshop Info
Data and Compute Setup
II Modules
Module 1: Introduction to Mass Spectrometry and Proteomics
- Lecture
Module 2: Experimental Design and Analytical Strategies
- Lecture
Module 3: Introduction to Software Platforms
- Lecture
Module 4: Data-Independent Acquisition (DIA) Analysis
- Lecture
- Lab
Module 5: Best Practices in Data Analysis, Statistics, and Visualization
- Lecture
- Lab
- Cheat Sheets
Module 6: Considerations and Tools for Complex Datasets
- Lecture
Module 7: Multi-omics Integration & Current and Future Advances of AI in Proteomics
- Lecture

Proteomics 2024

Module 5: Best Practices in Data Analysis, Statistics, and Visualization