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Biomedical Sciences Building

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  • Tran, L. (BMEB) – Polysome Shadowing: A Long-Read Sequencing Approach to Study Translation

    Biomedical Sciences Building 575 McLaughlin Drive

    Translation is a central and highly regulated step of gene expression, yet there are few quantitative, high-throughput tools to study translation. Existing methods such as sucrose gradients provide only bulk ribosome counts, while Ribo-Seq offers positional information in the genome but destroys long-range structure and transcript expression information. Because of these limitations, many fundamental questions […]

  • Shanks, C. (BMEB) – Development and Application of Local Ancestry Methods for Population Genomics

    Biomedical Sciences Building 575 McLaughlin Drive

    Local ancestry methods classify the segments of DNA inherited from a specific ancestry (e.g., African, East Asian, European), improving analyses of admixed populations. Aim 1 applies ancestry-specific analysis to more than 1000 whole genome sequences across Polynesia, revealing strong bottlenecks in the voyagers who settled both Hawaiʻi and Rapa Nui, and confirming frequencies of Mendelian […]

  • Leavitt, J. (BMEB) – Evolutionary Dynamics, Functional Adaptations in Stress Response, and Direct Detection of tRNA modifications in Archaea

    Biomedical Sciences Building 575 McLaughlin Drive

    Transfer RNA (tRNA) modifications are essential for structural integrity, decoding fidelity, and stress adaptation, yet their dynamics across phylogenetically distinct archaeal species and their functional roles during stress remain incompletely understood. This dissertation aims to address some of these gaps through a multi-scale investigation that spans the evolutionary dynamics, stress-responsive functions, and direct detection of […]

  • Katte, P. (BMEB) – Interactive and Scalable Frameworks for Pathogen Surveillance and Ancestral Recombination Graph

    Biomedical Sciences Building 575 McLaughlin Drive

    The explosive growth of genomic data, driven by advances in sequencing and inference technologies, presents both an opportunity and a challenge for evolutionary biology and public health. Existing visualization and analysis tools often fall short in handling the scale, complexity, and uncertainty of modern genomic datasets—especially in the areas of pathogen surveillance and ancestral recombination […]

Last modified: Oct 23, 2025