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Filtering by: Subject Benzene -- Data processing Remove constraint Subject: Benzene -- Data processing Advisor Cull, Paul Remove constraint Advisor: Cull, Paul

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  • Algorithms for string matching with applications in molecular biology

    Creator:
    Holloway, James Lee
    Abstract:
    As the volume of genetic sequence data increases due to improved sequencing techniques and increased interest, the computational tools available to analyze the data are becoming inadequate. This thesis seeks to improve a few of the computational methods available to access and analyze data in the genetic sequence databases. The...
    Resource Type:
    Dissertation
    Full Text:
    Abstract approved: Paul Cull. Abstract approved: Walter Rudd. As the volume of genetic sequence data

  • Visualization, implementation, and application of the Walking Tree heuristics for biological string matching

    Creator:
    Cavener, Jeffrey Douglas
    Abstract:
    Biologists need tools to see the structural relationships encoded in biological sequences (strings). The Walking Tree heuristics calculate some of these relationships. I have designed and implemented graphic presentations which allow the biologist (user) to see these relations. This thesis contains background information on the biological sequences and some background...
    Resource Type:
    Masters Thesis
    Full Text:
    obvious is the simple problem of storing masses of data. Megabytes, gigabytes and terabytes stream out

  • Walking tree methods for biological string matching

    Creator:
    Hsu, Tai C.
    Abstract:
    Approximate string matching is commonly used to align genetic sequences (DNA or RNA) to determine their shared characteristics. In contrast with the standard dynamic programming methods which use local edit distance models, the Walking Tree heuristic method was created to handle non-local changes, e.g., translocations, inversions, and duplications, altogether and...
    Resource Type:
    Dissertation
    Full Text:
    time and space complexities, and produced and analyzed data for the three Chapters, by redesigning the