The enrolment is done by the D-BIOL study administration.
Analysis of Signaling Networks by Mass Spectrometry
Permission from lecturers required for all students.
Block course in the 3rd quarter of the spring semester (ideally in combination with block course. 551-0352-00 in the 2nd quarter of the spring semester)
This course provides the theoretical and practical basis for the biochemical and computational analysis of signaling networks using quantitative mass spectrometry and advanced statistical methods.
In this course we will introduce basic and emerging techniques to study dynamic signalling networks using state of the art quantitative mass spectrometry techniques. This will involve the systematic characterization of signaling networks by affinity purification and phospho-peptide enrichment combined with quantitative mass spectrometry. We will also introduce and apply computational tools for statistical analysis, data visualization and network inference to build new hypothesis on the basis of the obtained data.
Prerequisites / Notice
This course requires a basic knowledge in mass spectrometry based proteomics and experience in computational data processing using R or MatLab. Ideally this course should be combined with course 551-0352-00L "Protein Analysis by Mass Spectrometry".
Performance assessment information (valid until the course unit is held again)