Enhanced cross-omics visualizations in toxicogenomics
In this project the main objective is to obtain more insight in the biological processes underlying the exposure of a cell model to a (toxic) substance. These biological processes are often dynamic, and thus their activity should be monitored at multiple time points. Therefore, this dynamic activity will be captured by monitoring gene expression, miRNA and epigenetic changes at multiple time points using RNA-seq and MeDIP-seq. In addition, multiple phenotypic endpoints are being measured as well in these time-series experiments.
Different statistical and mathematical models as well as visualization tools will be applied to achieve the objective. Developing or improving/adjusting methods for data integration, capturing time dependencies/time delays and causality will be part of this project.