To that aim, systems biology will be applied. Systems biology aims at gathering informations on complex biological systems (for example, transcriptomics data) and to apply computational tools to better understand and predict whether and to which degrees these systems will react to perturbations. Based on "omics" data, systems biology gives a bigger picture of cellular events occurring during the course of AIT than approaches focusing on isolated gene candidates or signaling pathways. This systemic approach allows the building and inference of predictive gene expression networks that could not be determined using hypothesis-based approaches.