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Author ORCID Identifier
Campus-Only Access for Five (5) Years
Doctor of Philosophy (PhD)
Year Degree Awarded
Month Degree Awarded
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.
SARSANI, VISHAL KUMAR, "STUDYING GENE ESSENTIALITY FROM TRANSPOSON-INSERTION SEQUENCING: STATISTICAL APPROACHES AND ANALYSIS" (2023). Doctoral Dissertations. 2854.
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Available for download on Sunday, May 26, 2024