Proteomics 2024
Welcome
Welcome to Proteomics 2024.
The course schedule can be found here
Pre-Workshop Materials
Pre-work including programs to install, tutorials, and readings can be found here.
AWS Module
Log into your Windows server at AWS
Class photo
CBW Proteomics Class of 2024
Proteomics Social
Data Download
Data files used for this workshop are available here:
Day 1
Module 1: Introduction to mass spectrometry and proteomics
Jennifer Geddes-McAlister
Module 1 Lecture Slides
Module 1 Lecture Recording
Module 2: Experimental design and analytical strategies
Florence Roux-Dalvai
Module 2 Lecture Slides
Module 2 Lecture Recording
Facility Tour
Module 3: Introduction to software platforms
Jennifer Geddes-McAlister
Module 3 Lecture Slides
Module 3 Lecture Recording
Day 2
Module 4: Data-Independent Acquisition (DIA) analysis
Florence Roux-Dalvai
Module 4 Lecture Slides
Module 4 Lecture Recording
Module 4 Lab Slides
Module 5: Best practices in data analysis, statistics, & visualization
Ben Muselius & Jennifer Geddes-McAlister
Module 5 Lecture Slides
Module 5 Lecture Recording
Module 5 Lab Slides: DIA-NN post-processing
Base R Cheat Sheet
Data Visualization Cheat Sheet
RMarkdown Cheat Sheet
Day 3
Module 6: Considerations and tools for complex datasets
Jennifer Geddes-McAlister
Module 6 Lecture Slides
Module 6 Lecture Recording
Module 7: Multi-omics integration & current and future advances of AI in proteomics
Marie Pier Scott-Boyer & Mickael Leclercq
Module 7.1 Lecture Slides: Multi-Omics Integration
Module 7.1 Lecture Recording
Module 7.2 Lecture Slides: Current and future advances of AI in proteomics Module 7.2 Lecture Recording