Introduction to Proteomics Data Analysis and Beyond

Course Description

This three day bioinformatics training course provides an introduction to the analysis of proteomics data.
The course consists of lectures tailored to introduce the bioinformatics and statistics involved in the following proteomics
experiments:

• protein identification
• experimental design
  
• label free quantification
  
• pull down experiments

Learning Objectives

At the end of the course, the participants will:

• understand the similarities and differences between protein
  identification, quantification and pull down experiments
  
• know what to expect - understand the opportunities and limits of a
  proteomics experiment
• asses and interpret the results from a proteomics experiment
• apply over-representation analysis (ORA) or gene set enrichment
  analysis (GSEA) to generate biological insights
• formulate a well designed proteomics experiment for a meaningful research question
  

Course Program

• Quality control metrics and visualisations
• Protein identification, models of peptide spectrum matches,
  inference of proteins, controlling the error probability.
• Bioinformatics for pull down experiments
• Principles of Linear Modelling - application to Label Free data analysis 
• Basics of experimental design

Important facts and how to apply

Language

The course will be entirely taught in English.

Participants

The course is limited to 10 participants only.

Target audience and prerequisites

Applicants should be FGCZ users that have used the FGCZ services in proteomics or have proteomics data generation ongoing at the FGCZ.
Participants should bring their own laptop (only a few laptop computers are available for the ones who cannot bring one).

Cost

Please refer to the main page of the bioinformatics courses.