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Filtering by: Creator Bauer, Michael E. Remove constraint Creator: Bauer, Michael E. Advisor Megraw, Molly Remove constraint Advisor: Megraw, Molly Rights Statement In Copyright - Non-Commercial Use Permitted Remove constraint Rights Statement: In Copyright - Non-Commercial Use Permitted

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  • Investigating Transcriptional Control of Specialized Gene Expression in Plants

    Creator:
    Fraser, Valerie N.
    Abstract:
    Specialized or secondary metabolism is a collection of pathways and small molecules that, while beneficial to an organism, are not strictly necessary for survival. Plants use secondary metabolites to, among other things, attract pollinators, defend against biotic and abiotic stressors, and form symbioses. Natural products from plants have seen an...
    Resource Type:
    Dissertation
    Full Text:
    retired. To each of my committee members—Dr. John Fowler, Dr. Jeffrey Anderson, Dr. Michael Freitag

  • Computational Approaches for Understanding Combinatorial Gene Regulation

    Creator:
    Ansariola, Mitra
    Abstract:
    Gene regulation is a complex mechanism that controls the spatial and temporal expression of genes in a living cell. My dissertation studies focus on two problems. First, tissue-specific gene expression prediction from DNA sequence and chromatin state, and second, the accurate discovery of small over-represented regulatory circuits in gene regulatory...
    Resource Type:
    Dissertation
    Full Text:
    specific expression. However, relying only on DNase signals without also considering the e↵ect of direct

  • Toward a flexible and accurate approach to null network sampling

    Creator:
    Bright, Zachary A.
    Abstract:
    Null networks are a type of random graph that is favored for the analysis of a wide variety of real-world networks, including gene-regulatory networks, food webs, and species co-occurrence matrices. As a hypothesis-generating tool, null networks are invaluable because they can reveal network motifs and unusual large-scale properties of networks...
    Resource Type:
    Masters Thesis
    Full Text:
    Gene-Regulatory Networks . . . . . . . . . . . . . . . . 16 3.3.2 regulonDB GRN for E. coli