Topic: biological experiments

This hands-on course focuses on analysing, interpreting and statistically evaluating quantitative proteomics data. Researchers with basic mass-spectrometry knowledge learn how stable-isotope labelling and label-free approaches support biological experiments, and how to select suitable hardware, software and analysis strategies. Computer-based practicals and group exercises develop skills for handling quantitative data, while lectures connect protein regulation, cellular communication, functional and chemical proteomics, and post-translational modifications. A dedicated session examines practic

The “soft, active, and living matter” community has grown tremendously in recent years, conducting exciting research at the interface between soft matter and biological systems. But are all living systems also soft matter systems? Do the ideas of function (or purpose) in biological systems require us to introduce deep new ideas into the framework of soft matter theories? Does the (often) qualitatively different character of data in biological experiments require us to change the types of experiments we conduct and the goals of our theoretical treatments? Eight speakers will anchor the worksho