(2024) Proteomics: Laval, QC

Life science researchers explore changes in protein production across diverse biological systems in the context of health and disease, as well as general perturbations and mechanisms of regulation. Investigations of total proteomes, post-translational modifications, signaling cascades, extracellular environments, interactomes, and clinical applications will be discussed. The CBW course covers important topics, including mass spectrometry instrumentation, proteomics data collection and processing, statistical analysis, and data visualization and interpretation. In-depth instruction via seminars combined with hands-on practical tutorials with provided datasets will be explored to assist with learning diverse bioinformatics platforms and pipelines for comprehensive and robust proteomics data analysis. 

CNPN members are eligible for a $50 subsidy. For more information and instructions on how to claim this subsidy, email support@bioinformatics.ca.

Participants will gain practical experience and skills to be able to:

• Design optimal proteomics experiments for protein identification across diverse sample sets
• Process proteomics datasets in a robust and reproducible manner
• Use multiple software platforms for data processing, analysis, and visualization
• Demonstrate best practices in proteomics data analysis
• Generate informative and reproducible visualizations
• Interpret and describe proteomics experimental findings

Beginner/Intermediate; Graduate students; Post-doctoral fellows; Clinical/Research; Life Science domain. 

General knowledge of R will be beneficial but not required. 

You will also require your own laptop computer. Minimum requirements: 1024×768 screen resolution, 1.5GHz CPU, 2GB RAM, 10GB free disk space, recent versions of Windows, Mac OS X or Linux (Most computers purchased in the past 3-4 years likely meet these requirements). 

This workshop requires participants to complete pre-workshop tasks and readings.