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STUDYING GENE ESSENTIALITY FROM TRANSPOSON-INSERTION SEQUENCING: STATISTICAL APPROACHES AND ANALYSIS
Author ORCID Identifier
https://orcid.org/0000-0002-9272-3438
AccessType
Campus-Only Access for Five (5) Years
Document Type
dissertation
Degree Name
Doctor of Philosophy (PhD)
Degree Program
Mathematics
Year Degree Awarded
2023
Month Degree Awarded
May
First Advisor
Patrick Flaherty
Second Advisor
Peter Chien
Third Advisor
Leili Shahriyari
Fourth Advisor
Andreas Buttenschoen
Subject Categories
Applied Statistics | Bacteriology | Bioinformatics
Abstract
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.
DOI
https://doi.org/10.7275/34526701
Recommended Citation
SARSANI, VISHAL KUMAR, "STUDYING GENE ESSENTIALITY FROM TRANSPOSON-INSERTION SEQUENCING: STATISTICAL APPROACHES AND ANALYSIS" (2023). Doctoral Dissertations. 2854.
https://doi.org/10.7275/34526701
https://scholarworks.umass.edu/dissertations_2/2854
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.