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Genotyping of Klebsiella pneumoniae isolates
Nykrýnová, Markéta ; Sedlář, Karel (referee) ; Maděránková, Denisa (advisor)
This master thesis deals with typing of Klebsiella pneumoniae isolates. The first part of the thesis introduces molecular typing methods. Then bacterial genomes and Klebsiella pneumoniae are characterized. Following part describes data validation, assembly of genomes and proposed algorithm for finding genes with high variability. In last part obtained results are presented and validated on other genomes of Klebsiella pneumoniae.
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MHC and KIR genotyping of macaques in HIV infection research
Matula, Jan ; Maděránková, Denisa (referee) ; Sedlář, Karel (advisor)
Modern research of viral diseases relies on genomic data processing. Not only is the sequence of a virus important, genomic sequence of specific receptors in affected organisms also plays an important role. In this paper, a novel package for processing of next generation sequencing data in infectious disease written using R/Bioconductor language is proposed. Functionality of the package, including implementation of advanced SSAHA algorithm for fast database searches, is demonstrated using genotyping of genes for MHC and KIR receptors of HIV positive macaques.
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Bipartite graphs for microbiome analysis
Šafárová, Marcela ; Provazník, Ivo (referee) ; Sedlář, Karel (advisor)
Microorganisms are all around us. Some of them even live in our body and are essential for our healthy being. Study of microbial communities based on their genetic content has become very popular with the development of new technologies, which enable easy reading of DNA or RNA. The key role of these studies is usually to characterize significant microbial patterns of an environment. However, currently used visualization tools have many drawbacks for such analyses. The subject of this thesis is to design a R/Bioconductor package for simple creation of bipartite graphs from microbial data. This type of visualization brings many advantages for microbiome analysis. Benefits of bipartite graphs are further demonstrated by analysis of main parameters affecting computer processing of microbial data.
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Mobile genetic elements detection by genomic signal processing
Nováková, Jarmila ; Sedlář, Karel (referee) ; Škutková, Helena (advisor)
Mobile genetic elements are occupied by this project. It is aimed at their features, which can be used for their detection. It also deals with issue of conversion of symbolic sequence into numerical form. Classifications of mobile genetic elements are explained, basic types of mobile genetic sequences are described, and principles of numerical maps and detection in symbolic represetation are also clarified. Conversion of symbolic genetical sequences by chosen numerical map and calculation of normalized correlation values for set of mobile genetic elements are compiled. Analysis of the mobile genetic elements properties is performed for design of detector. The library of themes is created at the end for usage by designed detector.
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Whole genome alignment using suffix trees
Klouba, Lukáš ; Sedlář, Karel (referee) ; Maděránková, Denisa (advisor)
The aim of this thesis is to create an algorithm that allows the alignment of the genome of two organisms by means of suffix structures and to implement it into the programming language environment R. The thesis deals with the description of the construction of the suffix structures and the methods of whole genome alignment. The result of the thesis is a functional algorithm for whole genome alignment by means of suffix structures implemented in the software environment R and its comparison with similar programs for the whole genome alignment.
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Modelling of Cell Colony Dynamics
Bělehrádek, Stanislav ; Škutková, Helena (referee) ; Sedlář, Karel (advisor)
The content of the thesis is a description of intracellular processes responsible for cell cycle regulation and reactions of cells to external and internal stimuli. Thoroughly described are important signaling pathways with appropriate methods, which can be used to simulate them in silico. From these cellular processes, a cell cycle model is created and implemented in a tool programmed in C ++ with OpenGL used for visualization. The model is then tested for various cell processes including HeLa cells growth. Finally, the results are compared with the behavior of living cells.
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Identification of LTR retrotransposons in human genome
Trott, Eduard ; Maděránková, Denisa (referee) ; Sedlář, Karel (advisor)
Cílem této práce je zpracování literární rešerše na téma vyhledávání LTR retrotranspozonů v lidském genomu. Práce popisuje možné problémy spojedné s danou tématikou a obsahuje implementaci nového vhodného algoritmu pro vyhledávání. Výsledky tohoto algoritmu, obsahující všechny nalezené LTRs byly statisticky porovnány s existujícími algoritmy pro vyhledávání nových retroelementů.
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Prediction of the replication origin in prokaryotic genomes
Lebó, Marko ; Maděránková, Denisa (referee) ; Sedlář, Karel (advisor)
This bachelor’s thesis deals with the problem of origin of replication (oriC) detection in genomes of prokaryotic organisms. It describes the differences in the processes of initiation of replication in organism of the both procaryotic domains – Bacteria and Archea. It describes the possibilities of conversion of DNA sequences into their numeric representaions and evaluates their application for oriC detection. Also, it describes different approaches in oriC detection and describes te functioning of already present programmes for oriC detection. Finally, it suggests a new tool for oriC detection in bacterial genomes – FindOri and discusses results, achieved during the testing of this tool.
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Methods for gene prediction in prokaryotic genomes
Nykrýnová, Markéta ; Sedlář, Karel (referee) ; Maděránková, Denisa (advisor)
This bachelor thesis deals with methods of gene prediction in prokaryotic genomes. First part of the thesis introduces prokaryotic cell, its genome, expression of genetic information and methods for gene prediction. Following part describes three software products for gene prediction. Chosen software was tested against specific genome and next chapter presents obtained results. The last part describes program called Gene_finder and its results.
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Methods of DNA tandem repeats analysis
Havlík, Kryštof ; Sedlář, Karel (referee) ; Maděránková, Denisa (advisor)
This work clarifies basics of the repetitive DNA and evaluates thee tandem repeats finders, which are accessible to public free of payment. Second part describes an algorithm used for searching tandem repeats, based on converting DNA string into numerical signal. Then follows signal processing using short-time Fourier transform, formation of spectrogram and analysis for evaluating position and content of repetitive areas. Result of this work is comparison of outcomes provided by public accessible programs with results of created program and review of advantages and disadvantages.
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