Thesis Details

Klasifikace malých nekódujících RNA

Master's Thesis Student: Žigárdi Tomáš Academic Year: 2014/2015 Supervisor: Vogel Ivan, Ing.
English title
Classification of Small Noncoding RNAs
Language
Czech
Abstract

This masters's thesis contains description of designed and implemented tool for classification of plant microRNA without genome. Properties of mature and star sequences in microRNA duplexes are used. Implemented method is based on clustering of RNA sequences (with CD-HIT) to mainly reduce their count. Selected representants from each clusters are classified using support vector machine. Performance of classification is more than 96% (based oncross-validation method using the training data).

Keywords

small noncoding RNAs, miRNA, central dogma of molecular biology, CD-HIT, next-generation sequencing, sequences clustering, cross-validation, support vector machine, classification of plant miRNA, duplex

Department
Department of Information Systems FIT BUT
Degree Programme
Information Technology, Field of Study Bioinformatics and Biocomputing
Files
Status
defended, grade D
Date
24 June 2015
Reviewer
Martínek Tomáš, doc. Ing., Ph.D.
Committee
Sekanina Lukáš, prof. Ing., Ph.D. (DCSY FIT BUT), předseda
Bartík Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
Holík Lukáš, doc. Mgr., Ph.D. (DITS FIT BUT), člen
Martínek Tomáš, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Šaloun Petr, doc. RNDr., Ph.D. (VŠB-TUO), člen
Zbořil František, doc. Ing., Ph.D. (DITS FIT BUT), člen
Citation
ŽIGÁRDI, Tomáš. Klasifikace malých nekódujících RNA. Brno, 2015. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2015-06-24. Supervised by Vogel Ivan. Available from: https://www.fit.vut.cz/study/thesis/17473/
BibTeX 
@mastersthesis{FITMT17473,
    author = "Tom\'{a}\v{s} \v{Z}ig\'{a}rdi",
    type = "Master's thesis",
    title = "Klasifikace mal\'{y}ch nek\'{o}duj\'{i}c\'{i}ch RNA",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2015,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/17473/"
}

Theses

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