Mass spectrometry data processing
In this training session we start by reviewing the types of mass spectrometer, and what the properties of their output data are. Out of our understanding of the data, we learn to extract meaningful interpretations.
- Obtain a good understanding of the origins and properties of mass spec data
- Obtain an understanding of the processing of mass spec data, aimed at identifying and quantifying peptides and proteins
- Gain sufficient understanding of the software tools and database used, and of the issues and caveats involved, to critically analyse and assess results from mass spectrometry based proteomics experiments
A basic understanding of mass spectrometry as applied to peptides and proteins is required by the participants.
Dr. Lennart Martens is Professor of Systems Biology at Ghent University, and Group Leader of the Computational Omics and Systems Biology (CompOmics) group at VIB.
Lieven Clement is Associate Professor of Statistical Genomics at Ghent University.
09h30 - 11h00: Search engines (LM)
11h00 - 11h15: Break
11h15 - 12h00: Practical 1.3 - search engines + questions
12h00 - 12h30: Other identification strategies
12h30 - 13h30: Lunch
13h30 - 14h30: Identification reliability and protein inference
14h30 - 15h15: practical 1.4 & 1.5: identification reliability and protein inference
15h15 - 15h30: Break
15h30 - 16h00: MS1 Quantification with moFF
16h00 - 17h00: Practical: moFF
9u30-10u15: Preprocessing & Differential Analysis of experiments with simple designs
10u15-11u15: Tutorial 2.3: Impact of different summarisation methods
11u30-12u30: Tutorial 2.4 - Tutorial 2.5
13u30-14u30: Statistical Inference & Analysis of Experiments with Factorial Designs
14u30-15u30: Tutorial 3.3: Impact of Blocking
15u45 - 16u30: Tutorial 3.4: Statistical inference for experiments with multiple factors
16u30 - 17u00: Wrap-up and Questions
Tel: +32 9 244 66 11