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    •   MOspace Home
    • University of Missouri-Columbia
    • Graduate School - Theses and Dissertations (MU)
    • Theses and Dissertations (MU)
    • Dissertations (MU)
    • 2012 Dissertations (MU)
    • 2012 MU dissertations - Freely available online
    • View Item
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    Computational methods for bacterial characterization and bacteria-host/environment interaction analyses

    Zhang, Chao
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    [PDF] research.pdf (2.451Mb)
    [PDF] short.pdf (8.919Kb)
    Date
    2012
    Format
    Thesis
    Metadata
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    Abstract
    With the rapid development of next-generation sequencing technologies, bacterial identification becomes a very important and essential step in processing genomic data, especially for metagenomic data. Many computational methods have been developed and some of them are widely used to address the problems in bacterial identification. First we review the algorithms of these methods, discuss their drawbacks, and propose future computational methods that use genomic data to characterize bacteria. Then, we tackle two specific computational problems in bacterial identification, namely, the detection of host-specific bacteria and the detection of disease-associated bacteria, by offering potential solutions as a starting point for those who are interested in the area. In addition, by utilizing our knowledge of H. pylori, we also predicted novel effectors for those known pathogens.
    URI
    https://hdl.handle.net/10355/36756
    https://doi.org/10.32469/10355/36756
    Degree
    Ph. D.
    Thesis Department
    Computer science (MU)
    Collections
    • Computer Science electronic theses and dissertations (MU)
    • 2012 MU dissertations - Freely available online

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