Publication:
STUDYING GENE ESSENTIALITY FROM TRANSPOSON-INSERTION SEQUENCING: STATISTICAL APPROACHES AND ANALYSIS

Simple item page
dc.contributor.advisorPatrick Flaherty
dc.contributor.advisorPeter Chien
dc.contributor.advisorLeili Shahriyari
dc.contributor.advisorAndreas Buttenschoen
dc.contributor.authorSARSANI, VISHAL KUMAR
dc.contributor.departmentUniversity of Massachusetts Amherst
dc.date2023-09-24T09:49:18.000
dc.date.accessioned2024-04-26T16:01:07Z
dc.date.available2024-05-26T00:00:00Z
dc.date.issued2023-05-26
dc.date.submittedMay
dc.date.submitted2023
dc.description.abstractInvestigating 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.
dc.description.degreeDoctor of Philosophy (PhD)
dc.description.departmentMathematics
dc.description.embargo2024-05-26T00:00:00-07:00
dc.identifier.doihttps://doi.org/10.7275/34526701
dc.identifier.orcidhttps://orcid.org/0000-0002-9272-3438
dc.identifier.urihttps://hdl.handle.net/20.500.14394/19229
dc.relation.urlhttps://scholarworks.umass.edu/cgi/viewcontent.cgi?article=3896&context=dissertations_2&unstamped=1
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.source.statuspublished
dc.subjectTransposon insertion sequencing
dc.subjectProtein Homeostasis
dc.subjectCaulobacter crescentus
dc.subjectRegularized negative binomial GLM
dc.subjectKnockoffs
dc.subjectApplied Statistics
dc.subjectApplied Statistics
dc.subjectBacteriology
dc.subjectBioinformatics
dc.titleSTUDYING GENE ESSENTIALITY FROM TRANSPOSON-INSERTION SEQUENCING: STATISTICAL APPROACHES AND ANALYSIS
dc.typecampusfive
dc.typearticle
dc.typedissertation
digcom.contributor.authorisAuthorOfPublication|email:vishal.statgen@gmail.com|institution:University of Massachusetts Amherst|SARSANI, VISHAL KUMAR
digcom.date.embargo2024-05-26T00:00:00-07:00
digcom.identifierdissertations_2/2854
digcom.identifier.contextkey34526701
digcom.identifier.submissionpathdissertations_2/2854
dspace.entity.typePublication
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Vishal_Dissertation_Revised.pdf
Size:
48.44 MB
Format:
Adobe Portable Document Format
Name: Vishal_Dissertation_Revised.pdf
Size: 48.44 MB
Kind: Adobe PDF
Collections
Dissertations