This is also seen in context with other factors that affect a food product, such as environment, feed, growing conditions, climate etc. The collective term for this research is systems biology. Modern measurement tools and methods are essential in this field. By using advanced techniques we can study genes, proteins, metabolites and phenotypes (quality). This is illustrated in the diagram. To be able to put the measurements (multiple responses) into an understandable context, we must use advanced computing tools. The data also often needs to be pre-processed using advanced methods before it can be interpreted.
In this area we are therefore developing:
- strategies for structuring experimental design for multiple responses
- models for pre-processing biological data, for biospectroscopy, proteomics, mass spectroscopy, chromatography and nuclear magnetic resonance
- multivariate methods for being able to connect various types of data
- methods for analysing time-dependent data on bacterial and cell growth
