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STUDYING GENE ESSENTIALITY FROM TRANSPOSON-INSERTION SEQUENCING: STATISTICAL APPROACHES AND ANALYSIS
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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.
Type
campusfive
dissertation
dissertation
Date
2023-05
Publisher
Degree
License
License
http://creativecommons.org/licenses/by/4.0/
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Journal Issue
Embargo Lift Date
2024-05-26T00:00:00-07:00