â€˜Omicsâ€ methods extensively characterize clinical specimens. The data from these increasingly sophisticated techniques can be correlated with clinical outcomes to identify candidate disease biomarkers and mechanisms, using intensive computational analytical methods. Recent discoveries using these tools have already changed our understanding of CF airway infection and inflammation. In this session, we will review the historical origins and recent progress in the study of the CF airway using these â€˜omics approaches. We will discuss how, by characterizing the CF airway microbiome, transcriptome, metabolome and inflammasome, these tools are providing fresh insights into CF lung disease.