Dissertation/Thesis Abstract

The author has requested that access to this graduate work be delayed until 2020-05-15. After this date, this graduate work will be available on an open access basis.
Genomic Insights: Comparative Genomics in the Big Data Age
by Haug-Baltzell, Asher K., Ph.D., The University of Arizona, 2018, 146; 10745700
Abstract (Summary)

Perhaps the most influential and pivotal discovery in biology was that genomes, the organism- specific DNA transmitted generation-to-generation, are the foundational “code of life” which contain the instructions necessary to form each and every living organism. Today, the rapid advancement of genome sequencing technology is providing scientists in many disciplines with an unprecedented toolkit for deep insights into how this code generates and maintains life on earth. It is upon this technical toolkit—the ability to decode genomic information—which this dissertation is built. This dissertation is not intended to answer a single question, but rather to highlight three original research articles in the field of comparative genomics and provide additional discussion into how they were enabled by a scientific training focused on building computational thinking and skills in addition to learning topical background knowledge. My goal here is multifaceted; primarily, I aim to help advance our scientific understanding of how evolution has shaped modern genomes, but in this process, I hope to also inspire my fellow scientists to more deeply integrate computational thinking into their biological research.

The included articles cover a broad range of topics, yet all stem from the unifying question “how can we effectively and efficiently compare genomes against each other, and what can we learn by performing these comparisons?”. Following a narrative introduction discussing the impact of genome sequencing technology on the field of biology and science as a whole (Chapter 1), a series of chapters guide the reader through three original research manuscripts. These manuscripts cover the development of a comparative genomics tool (Chapter 2), the discovery of an interesting aspect of dopamine receptor evolution (Chapter 3), and the dissection of a set of proposed genomic predictors in human disease treatment (Chapter 4). Next, a white paper styled discussion chapter investigates two specific aspects of computational thinking which are especially relevant to scientific researchers, especially in an era defined by “big data” (Chapter 5). The final conclusion (Chapter 6) ties the distinct parts together into a cohesive message, poses some thoughts on the future of genomic research, and discusses some of the ethical implications which stem from our growing knowledge of the genome.

Indexing (document details)
Advisor: Lyons, Eric H.
Commitee: McCarthy, Fiona M., Merchant, Nirav C., Sanderson, Michael J.
School: The University of Arizona
Department: Genetics
School Location: United States -- Arizona
Source: DAI-B 79/09(E), Dissertation Abstracts International
Source Type: DISSERTATION
Subjects: Genetics, Evolution and Development, Bioinformatics
Keywords: Bioinformatics, Comparative genomics, Dopamine receptor evolution, Evolution, Placebo effect, Synteny
Publication Number: 10745700
ISBN: 9780355952902
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