Transcriptome-wide analyses of gene expression in models of disease

The computational analysis of transcriptome-wide RNA sequencing data sets provides the opportunity to investigate a wide array of post-transcriptional processes that modulate RNA metabolism and facilitate gene expression in the cell. In this thesis, I have applied various analytic methods to examine the consequences on gene expression of pathogenic mutations that disrupt proteins involved in the regulation of the nuclear and mitochondrial transcriptomes. The expression of genes from both of these genomes is integral to cellular function and their disruption in models of disease has been analysed computationally to uncover how they function.