Undergraduate Honors Theses

Thesis Defended

Spring 2019

Document Type

Thesis

Type of Thesis

Departmental Honors

Department

Chemistry

First Advisor

Dylan Taatjes

Second Advisor

Robert Parson

Third Advisor

Robin Dowell

Abstract

Transcription is a key biological process that converts DNA into RNA. There are a range of proteins involved in this process, and understanding the role that each plays in transcription leads to a better understanding of the process of transcription as a whole. Nascent sequencing is a technique for examining the behavior of RNA that is being actively transcribed by Polymerase II (PolII) in cells. Nascent sequencing is a powerful technique, but produces a tremendous amount of data which can be difficult to summarize effectively. This research focused on the optimization of existing computational techniques used for examining this large amount of data. Methods for Pause Index analysis, Metagene analysis, and Differential Expression analysis were examined and optimized, using a novel dataset in which the TAF1 subunit of the TFIID complex was removed from cells. Computational optimizations were successful, and resulted in significant speedups in computation as well as resolving issues inherent in the existing tools for the analyses considered.

Available for download on Saturday, October 03, 2020

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