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http://hdl.handle.net/11375/30460
Title: | Computational Studies in Astrobiology: DNA & Exoplanets |
Authors: | Del Vecchio, Alexa |
Advisor: | Stone, Jonathon |
Department: | Biology |
Publication Date: | 2024 |
Abstract: | Large data sets are challenging to analyze, let alone interpret. Computation can meet the challenge. This sandwich thesis describes two computational studies: 1) simulations involving hypothetical genetic codes and 2) reducing high-dimensional extrasolar data. In the first study, I investigate the role of terminator codons in mutation error minimization. In the second study, I use Principal Component Analysis to explore data for celestial objects classified as exoplanets. I conclude that 1) the inclusion of terminator codons in error minimization analyses involving penalties provide further insight on their possible role in genetic code evolution while still producing a low ranking when penalties are minimal and 2) that the outlying situation of Fomalhaut B vindicates prior suspicions as to its planetary status. |
URI: | http://hdl.handle.net/11375/30460 |
Appears in Collections: | Open Access Dissertations and Theses |
Files in This Item:
File | Description | Size | Format | |
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Del Vecchio_Alexa_202409_MSc.pdf | 19.48 MB | Adobe PDF | View/Open |
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