Doctoral Theses

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Supervised and Unsupervised Methods for Transcriptional Sequencing Data.

Zach Maas, 2024

Investigating exogenous stressors impact on transcription in population with Down syndrome.

Jessica Westfall, 2023

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How transcription factors define cell identity and p53 defends the genome.

Taylor Jones, 2023

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Effects of aging on skeletal muscle stem cells revealed by single-cell transcriptomics and lineage tracing.

Jesse Kurland, 2023

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Gene Regulation Inference With Nascent RNA Transcription.

Rutendo Sigauke, 2023

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RNA Turnover and Trisomy: Inferring RNA Decay Rates Throughout the Interferon Response in Down Syndrome.

Samuel Hunter, 2023

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On the evolution of gene transcription regulation in metazoans.

Daniel Ramirez, 2023

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No place like home: Hair follicle stem cell’s departure from niche environment during aging.

Chi Zhang, 2022

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Responding to Emerging Infectious Diseases with Big Data, Rapid Diagnostics, and Stem Cell Technology.

Qing Yang, 2022

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Hide and Seq: Novel approaches to RNA-sequencing data with a focus on neurodegenerative disease.

Marko Melnick, 2021

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Mechanisms of Gene Regulation: Exploring the Activity ofTranscription Factors and Mediator Kinases.

Jonathan Rubin, 2020

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Inferring mechanisms of toxicity from differential genomicsand semantic knowledge representations.

Ignacio Tripodi, 2020

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Pathways of Adaptation: A large-scale expression and genotypic analysis of the influence of polyploidy on the evolution of yeast grown in a sub-optimal carbon source.

Amber Scott, 2017

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Stochastic modeling of RNA polymerase predicts transcription factor activity.

Joey Azofeifa, 2017

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A Computational and Evolutionary Approach to Understanding Cryptic Unstable Transcripts in Yeast.

Jessica Vera, 2016

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Cell-intrinsic mechanisms governing stem cell quiescence and regulating cancer progression in mammalian skin.

Li Wang, 2015

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Regulatory organization and transcriptional response of S. Chlorophenolicum.

Joe Rokicki, 2015

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Identification and characterization of functional regulatory variants in Saccharomyces cerevisiae.

Timothy Read, 2015

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A Simulation modeling framework to study transcriptional regulation through the dynamic changes in the configuration of DNA binding factors.

David Knox, 2015

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      Masters Theses

Efficient Algorithms for Large Data Sets of Genomic Sequences in Microbial Community Analysis.
David Knox, 2010

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      Undergraduate Theses

Exploring Transcriptional Regulation in Saccharomyces cerevisiae: from Binding Motifs to ncRNA.
Anna Lee, 2014

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Comparison of transcription factor binding sites from ChIP-seq experiments.
Colin Diesh, 2013

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Analysis of the Impact of Ploidy on the Genotypic Effects of Directed Evolution.
Phillip Richmond, 2012

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