Advancing transcriptome analysis in models of disease and ageing

RNA-sequencing technologies allow us to peak behind the curtain of biomolecular mechanisms which drive all known life on earth. The process of RNA synthesis is influenced by many factors, both intrinsic and extrinsic, on both micro and macro scales. In most RNA-sequencing experiments a component of a genetic pathway is manipulated after which changes on RNA abundances are investigated. In this thesis we examplify multiple RNA-sequencing experiments and reveal the dynamic range of information which can be taken from different experimental conditions using a rich toolbox of analytical methods.