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http://hdl.handle.net/11375/30460
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DC Field | Value | Language |
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dc.contributor.advisor | Stone, Jonathon | - |
dc.contributor.author | Del Vecchio, Alexa | - |
dc.date.accessioned | 2024-10-24T14:21:49Z | - |
dc.date.available | 2024-10-24T14:21:49Z | - |
dc.date.issued | 2024 | - |
dc.identifier.uri | http://hdl.handle.net/11375/30460 | - |
dc.description.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. | en_US |
dc.language.iso | en | en_US |
dc.title | Computational Studies in Astrobiology: DNA & Exoplanets | en_US |
dc.type | Thesis | en_US |
dc.contributor.department | Biology | en_US |
dc.description.degreetype | Thesis | en_US |
dc.description.degree | Master of Science (MSc) | en_US |
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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