Using large multivariate sequencing datasets from human studies of bacterial and viral infections we aim to identify and characterize the signatures of different diseases and understand the host-pathogen interplay throughout the infection, in the presence or absence of vaccine protection.

By improving the algorithmic approaches for designing studies, for identifying the underlying low-level variation and for the selection of differentially expressed components, we strive to increase the accuracy of predicted interactions either at transcriptional, post-transcriptional or protein levels.