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Author ORCID Identifier


Campus-Only Access for Five (5) Years

Document Type


Degree Name

Doctor of Philosophy (PhD)

Degree Program


Year Degree Awarded


Month Degree Awarded


First Advisor

Patrick Flaherty

Second Advisor

Peter Chien

Third Advisor

Leili Shahriyari

Fourth Advisor

Andreas Buttenschoen

Subject Categories

Applied Statistics | Bacteriology | Bioinformatics


Investigating the functions of genes under various conditions and their interacting networks is necessary for understanding the fundamental biological processes. In bacteria, large-scale genome-wide screening techniques like Transposon insertion sequencing (TIS) can link genes to phenotypes on a comprehensive level, thus a valuable tool in the functional annotation of genetic elements. Through this work, we propose a model-based framework that uses regularized negative binomial regression to estimate the change in transposon insertions attributable to gene-environment changes in a genetic interaction study without transformations or uniform normalization. We also propose a systematic multilevel analysis approach to dissect the genetic modulators of protein homeostasis in Caulobacter crescentus.


Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

Available for download on Sunday, May 26, 2024