This thesis consists of a statistical analysis (both theoretical and numerical) of mutations in viral RNA sequences, using the Sars-Cov2 database. The RNA sequences are compared by using the typical tools of information theory: entropy, relative entropy, and mutual information. Eventually, a simple model of the mutation mechanism is developed by using the Markov chains model inspired by the Ehrenfest urn model.
La tesi consiste in un' analisi statistica (teorica e numerica) di mutazioni di sequenze di RNA virale, usando il database del Sars-Cov2. Si confrontano le sequenze di RNA usando strumenti tipici della teoria dell'informazione, quali entropia, entropia relativa e mutua informazione. Infine, si vuole costruire un modello semplice del meccanismo delle mutazioni attraverso il modello delle catene di Markov simile al modello delle urne di Ehrenfest.
Uno studio statistico delle mutazioni di sequenze di RNA virale
DALLA POZZA, LAURA
2022/2023
Abstract
This thesis consists of a statistical analysis (both theoretical and numerical) of mutations in viral RNA sequences, using the Sars-Cov2 database. The RNA sequences are compared by using the typical tools of information theory: entropy, relative entropy, and mutual information. Eventually, a simple model of the mutation mechanism is developed by using the Markov chains model inspired by the Ehrenfest urn model.File | Dimensione | Formato | |
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https://hdl.handle.net/20.500.12608/53395