Functional interpretation of metabolomics and transcriptomics data

Technological developments in recent years have led to increasingly larger data sets with good quality information to characterize samples and processes. Inherent to this a cost reprocessing shift has taken place, from measuring to the analysis of the data.

The speed and efficiency in combination with the quality / innovation of the data analysis in the future will determine the price competitiveness of RIKILT in the research market. For the enhancement of the speed and efficiency of the data analysis further automation is required. By increasing the quality and innovation of the data analysis the biological interpretation is of importance.

The aim of this project is an improved interpretation in the biological / toxic effects of thousands of metabolites / residues / contaminants and / or messenger RNAs, using database linkage, metabolite and gene set enrichment analysis. In addition, a number of data processing and interpretation of biological tools automated.