Search for dissertations about: "polyadenylation"
Showing result 16 - 20 of 28 swedish dissertations containing the word polyadenylation.
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16. Viruses as a Model System for Studies of Eukaryotic mRNA Processing
Abstract : Viruses depend on their hosts for the production and spread of new virus particles. For efficient virus replication, the viral genes have adapted the strategy of being recognized and processed by the cellular biosynthetic machineries. Viruses therefore provide an important tool to study the cellular machinery regulating gene expression. READ MORE
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17. Gene Expression and DNA Methylation in Acute Lymphoblastic Leukemia
Abstract : Pediatric acute lymphoblastic leukemia (ALL) is the most common malignancy in children, which results from the malignant transformation of progenitor cells in the bone marrow into leukemic cells. The precise mechanisms for this transformation are not well defined, however recent studies suggest that aberrant regulation of gene expression or DNA methylation may play an important role. READ MORE
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18. ATPase dependent and independent roles of Brahma in transcription and pre-mRNA processing
Abstract : SWI/SNF is a chromatin-remodeling complex and Brahma (BRM) is the ATPase subunit of SWI/SNF. BRM regulates transcription by remodeling the nucleosomes at promoter regions. BRM is also associated with RNA and affects pre-mRNA processing together with other SWI/SNF subunits. READ MORE
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19. Data Analysis and Next Generation Sequencing : Applications in Microbiology
Abstract : Next Generation Sequencing (NGS) is a new technology that has revolutionized the way we study living organisms. Where previously only a few genes could be studied at a time through targeted direct probing, NGS offers the possibility to perform measurements for a whole genome at once. READ MORE
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20. Retroviral long Terminal Repeats; Structure, Detection and Phylogeny
Abstract : Long terminal repeats (LTRs) are non-coding repeats flanking the protein-coding genes of LTR retrotransposons. The variability of LTRs poses a challenge in studying them. Hidden Markov models (HMMs), probabilistic models widely used in pattern recognition, are useful in dealing with this variability. READ MORE