Course Description

Quantitative proteomics by mass spectrometry has become an essential tool for multi-omics studies aiming at answering important biological questions in a system-wide perspective. Proteomics data contain rich and deep information that can become challenging to extract, interpret, and interface with other experimental outcomes. This training course is aimed at researchers who are not expert in proteomics and want to integrate quantitative proteomics results into wider biomedical experiments. We will focus on quality control from an end-user perspective, link to the underlying genomic context, multivariate analysis, protein complexes investigation, and compare different platforms for biological interpretation.

Target Audience

This course is oriented towards biologists and bioinformaticians. The course will be of particular interest to researchers interested in biologically interpreting proteomics data, and to integrate it with other data types like genomics.

Detailed Program


QC of proteomics data

Wrap-up Tuesday

Networks: from quantitatives to biological insights


Wrap-up Wednesday

Quantitative clustering and Multivariate analysis

Wrap-up Thursday

Protein complexes

Wrap-up Thursday

Blind hackathon

Learning objectives

After the training, participants will be able to critically interpret results, troubleshoot analyses, and will be ready to successfully attend more specialized training e.g. in proteogenomics or biological network analysis.

The source for this course webpage is in github.

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