Search for dissertations about: "natural mutations"
Showing result 11 - 15 of 444 swedish dissertations containing the words natural mutations.
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11. Determinants of peptidyl-tRNA drop-off from E. coli Ribosomes : Effects of antibiotics, mutations and translation factors
Abstract : During protein synthesis, some peptidyl-tRNA molecules dissociate from the ribosomes and become hydrolysed by peptidyl-tRNA hydrolase (Pth). Two different in vitro systems, poly(U) and natural mRNA programmed ribosomes, have been used in order to determine dissociation (drop-off) rates of deacylated- and peptidyl-tRNAs from different sites on ribosomes. READ MORE
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12. Statistical assessment of somatic mutations and genomic variability using DNA sequence data
Abstract : The development of new DNA sequencing techniques have made it possible to generate high-resolution genomic data at an unprecedented pace. However, the high dimensionality in combination with the substantial levels of technical errors and biological variability make the analysis challenging. READ MORE
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13. Genetic variation in natural populations: a modeller's perspective
Abstract : Thanks to advances in genome sequencing, empirical patterns of within- and between-species genetic variation are readily available. By studying these patterns much has been learned about the evolutionary histories of species. But the causes and consequences of different evolutionary histories are still difficult to tell apart. READ MORE
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14. Statistical assessment of genomic variability in tumours and bacterial communities
Abstract : Current high-throughput DNA sequencing technologies have the ability to generate large amounts of high-resolution genomic data. The high dimensionality in combination with the substantial levels of technical errors and biological variability typically present in the data make, however, the analysis challenging. READ MORE
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15. Artificial neural networks in models of specialization and sympatric speciation
Abstract : This thesis deals with specialization and how it is linked to sympatric speciation. The trait driving specialization is a cue recognition trait modelled with artificial neural networks that exploiters use to discriminate beneficial resources from detrimental resources based on the signals of the resources. READ MORE