Research reveals an intriguing pattern: complex traits are influenced by a multitude of genes. While certain key genes and regulatory regions directly impact certain traits, there are numerous other genomic regions that make smaller contributions. Remarkably, when these contributions from various regions accumulate, they result in significant variations in the observed trait. To truly grasp the intricate relationship between genes and traits, we must consider the bigger picture. Rather than focusing on a select few genes, we recognise the importance of including the majority of genomic regions in our models.

Our aim is to understand the relationship between genes and observable traits through Whole Cell Modelling. The main objective is to explain the variations in traits by developing Whole Cell Models that combine mechanistic modelling with statistical and machine learning techniques.