Transcriptome-wide analyses of gene expression in models of disease

    Research output: ThesisDoctoral Thesis

    538 Downloads (Pure)

    Abstract

    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.
    Original languageEnglish
    QualificationDoctor of Philosophy
    Awarding Institution
    • The University of Western Australia
    Award date2 Aug 2017
    DOIs
    Publication statusUnpublished - 2017

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