Thesis Details

Bioinformatic Tool for Estimation of Abundances of Bacterial Functional Molecules in Biological Samples Based on 16S rRNA Metagenomic Data

Master's Thesis Student: Bieliková Michaela Academic Year: 2018/2019 Supervisor: Smatana Stanislav, Ing.
Czech title
Bioinformatický nástroj pro odhad abundance bakteriálních funkčních molekul v biologických vzorcích na základě metagenomických dat 16S rRNA
Language
English
Abstract

Humans are host to an enormous variety of microbes, bacterial, archaeal, fungal, and viral. Some of these can cause serious diseases, but others, particularly gut microbiome, are essential to human life. Unfortunately, gut microbiome is not well documented, since it contains thousands of different kinds of bacteria most of which cannot be cultivated in laboratories, and we do not know all of its functions. The recent solution to this problem seems to be high-throughput sequencing in combination with bioinformatics tools for functional profile prediction. In this thesis, bioinformatics tools for functional profile prediction will be introduces, along with their advantages and disadvantages. The goal of this thesis is to create a new tool for functional profile prediction, which can either employ a consensus of the existing tools, or can be a brand new tool inspired by these.

Keywords

bioinformatics, metagenomics, bacterial functional profile, KO profile, 16S rRNA, PiCRUST

Department
Degree Programme
Information Technology, Field of Study Bioinformatics and Biocomputing
Files
Status
defended, grade A
Date
20 June 2019
Reviewer
Committee
Sekanina Lukáš, prof. Ing., Ph.D. (DCSY FIT BUT), předseda
Grégr Matěj, 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
Matoušek Radomil, doc. Ing., Ph.D. (IACS FME BUT), člen
Ryšavý Ondřej, doc. Ing., Ph.D. (DIFS FIT BUT), člen
Citation
BIELIKOVÁ, Michaela. Bioinformatic Tool for Estimation of Abundances of Bacterial Functional Molecules in Biological Samples Based on 16S rRNA Metagenomic Data. Brno, 2019. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2019-06-20. Supervised by Smatana Stanislav. Available from: https://www.fit.vut.cz/study/thesis/21657/
BibTeX
@mastersthesis{FITMT21657,
    author = "Michaela Bielikov\'{a}",
    type = "Master's thesis",
    title = "Bioinformatic Tool for Estimation of Abundances of Bacterial Functional Molecules in Biological Samples Based on 16S rRNA Metagenomic Data",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2019,
    location = "Brno, CZ",
    language = "english",
    url = "https://www.fit.vut.cz/study/thesis/21657/"
}
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