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	Methods for prediction of RNA secondary structure Polzerová, Nikola ; Musilová, Jana (referee) ; Jurečková, Kateřina (advisor) This bachelor thesis discuss RNA secondary structure and it’s prediction in particular. It describes various secondary structure elements and presents some secondary structure prediction methods. Within the framework of bachelor thesis, three computational methods for secondary structure prediction were implemented in programming and numeric computing platform MATLAB. These methods are Nussinov algorithm, Zuker algorithm and Crumple method. Implemented algorithms approched the prediction in terms of base pair maximalization or free energy minimalization. Their function was verified on the created dataset and the results were compared with known secondary structures. Detailed record
	RNA secondary structure prediction Polzerová, Nikola ; Schwarzerová, Jana (referee) ; Jurečková, Kateřina (advisor) Sekundární struktura RNA se stala v posledních letech fenoménem. Hraje klíčovou roli v pochopení principů genové exprese a stability RNA, a také pokládá důležitý základ pro správnou predikci terciálních struktur. Proto dochází k velice rychlému rozvoji predikce pomocí výpočetních metod a také pomocí metod strojového učení. V rámci práce byly popsány nejčastěji citované metody strojového učení pro predikci sekundárních struktur RNA. Na základě získaných znalostí byla implementována reziduální neuronová síť. Implementovaná reziduální síť byla netrénována, validována a otestována na sekvencích z datasetu bpRNA-1m, jejichž sekundární struktury neobsahují pseudouzly. Detailed record
	Methods for prediction of RNA secondary structure Polzerová, Nikola ; Musilová, Jana (referee) ; Jurečková, Kateřina (advisor) This bachelor thesis discuss RNA secondary structure and it’s prediction in particular. It describes various secondary structure elements and presents some secondary structure prediction methods. Within the framework of bachelor thesis, three computational methods for secondary structure prediction were implemented in programming and numeric computing platform MATLAB. These methods are Nussinov algorithm, Zuker algorithm and Crumple method. Implemented algorithms approched the prediction in terms of base pair maximalization or free energy minimalization. Their function was verified on the created dataset and the results were compared with known secondary structures. Detailed record

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