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Please use this identifier to cite or link to this item: 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

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Del Vecchio_Alexa_202409_MSc.pdf
Embargoed until: 2025-09-27
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