Search for dissertations about: "sequence repeats"
Showing result 1 - 5 of 69 swedish dissertations containing the words sequence repeats.
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1. Software Tools and Algorithms for Shotgun Sequence Assembly
Abstract : During the last ten years, a genomics revolution has changed the ways biological research is carried out. The draft sequence of the human genome is available, as well as the sequence of 84 other completed genomes. READ MORE
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2. Intrinsic disorder and tandem repeats - match made in evolution : Computational studies of molecular evolution
Abstract : Proteins are both the building blocks and workers of the cell, carrying out most of the important functions. For a long time, their structure has been regarded as the primary factor for their function, but intrinsically disordered proteins demonstrate an alternative to this paradigm. READ MORE
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3. A Genetic Survey of the Pathogenic Parasite Trypanosoma cruzi
Abstract : Trypanosoma cruzi, the causative agent of Chagas´ disease, is an evolutionarily ancient species with distinct biological and immunological characteristics. A fundamental understanding of the basic biology of the parasite is necessary in order to develop reliable therapeutic and prophylactic agents against T. cruzi. We have, as a part of the T. READ MORE
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4. On diverse biophysical aspects of genetics : from the action of regulators to the characterization of transcripts
Abstract : Genetics is among the most rewarding fields of biology for the theoretically inclined, offering both room and need for modeling approaches in the light of an abundance of experimental data of different kinds. Many aspects of the field are today understood in terms of physical and chemical models, joined by information theoretical descriptions. READ MORE
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5. 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