Award Date
August 2023
Degree Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Life Sciences
First Committee Member
Mira Han
Second Committee Member
Jeffrey Shen
Third Committee Member
Helen Wing
Fourth Committee Member
Fatma Nasoz
Fifth Committee Member
Hana Dobrovolny
Number of Pages
166
Abstract
As high throughput sequencing generates ever increasing amounts of genetic and epigenetic data new lines of inquiry open up in the field of genomic research. In this thesis, we discuss three ways in which we can utilize public databases of next generation genomic data in order to study areas of the genome previously ignored by traditional approaches. These include the study of linker regions between domains of proteins, indirect enhancers that do not strongly contact promoters of genes they regulate, and transposon-derived enhancer elements. The work uncovers many exceptions to known biological principles, and adds nuance to our understanding of genomic data.
Keywords
Bioinformatics; Chromatin; Enhancer; Machine Learning; Regulation; Transposon
Disciplines
Bioinformatics | Ecology and Evolutionary Biology | Evolution | Genetics
File Format
File Size
14680 KB
Degree Grantor
University of Nevada, Las Vegas
Language
English
Repository Citation
Barth, Dylan, "Sequestered Sequences: A Bioinformatic Approach to the Forgotten Genome" (2023). UNLV Theses, Dissertations, Professional Papers, and Capstones. 4814.
http://dx.doi.org/10.34917/36948164
Rights
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