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Dynamic Model for Production of Polyhydroxyalkanoates by Thermophilic Bacterium S. thermodepolymerans
Křápková, Monika ; Šafránek, David (referee) ; Sedlář, Karel (advisor)
Tato diplomová práce se zabývá rekonstrukcí dynamického modelu produkce polyhydroxyalkanoátů (PHA) termofilní bakterií Schlegelella thermodepolymerans. První kapitola poskytuje čtenářům krátký úvod do systémové biologie a matematické teorie grafů. Na ni navazuje druhá kapitola zabývající se různými přístupy v dynamickém modelování, včetně běžně používaných nástrojů pro dynamickou analýzu komplexních systémů. Třetí kapitola pak sleduje další pojmy a možnosti týkající se analýzy modelu. Následující kapitola se zaměřuje na metabolomiku a často používané laboratorní techniky a pátá kapitola je pak věnována polyhydroxyalkanoátům, zejména jejich chemické struktuře a vlastnostem. V kapitole šesté je navržen obecný booleovský model pro produkci PHA termofilními bakteriemi. Kapitola sedmá se poté zaměřuje na zdokonalení modelu se zaměřením na S. thermodepolymerans. Výsledný dynamický model je podroben analýze a výsledky jsou diskutovány.
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Character-based methods for DNA barcoding
Kalianková, Kateřina ; Sedlář, Karel (referee) ; Maděránková, Denisa (advisor)
This work deals with character-based DNA barcoding. DNA barcoding and character-based DNA barcoding methods are described in the introduction. Another part contains information of method CAOS (Characteristic Attributes Organization) and method BLOG (Barcoding with LOGic). Programs are described in the practical part. The end contains results.
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Management tool for sequence types database of pathogenic bacteria
Františová, Zuzana ; Maděránková, Denisa (referee) ; Sedlář, Karel (advisor)
The objective of this bachelor thesis is to design and create a management tool for sequence types database of pathogenic bacteria. The basis of this thesis is the designing a transfer key for the new molecular technique for typing of bacteria, which was created in cooperation with Centre of Molecular Biology and Gene Therapy, Department of Internal Medicine – Haematooncology, University Hospital Brno. The new method is based on translation sequence type to appropriate melt type. In the first two chapters, the advantages and disadvantages of the most used methods in molecular biology and the most favorite typing methods are discussed. Another three chapters introduce designing of the transfer key, its implementation in the MATLAB environment and the final management tool consisted of two programmes. The first program includes transfer key computation and the second program allows particular melt type and appropriate sequence types retrieval, which is an easy way to compare sequential and PCR data.
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Mapping techniques for reference-based genome assembly
Petrovský, Jan ; Sedlář, Karel (referee) ; Bartoň, Vojtěch (advisor)
The bachelor thesis deals with the tools used to map the genome to the reference sequence. The theoretical part describes the currently used sequencing technologies, whether the first generation or the latest technologies of the third generation, an overview of the tools used for de novo genome construction, approaches and tools used for mapping to the reference, the ART program and related data formats. The practical part consists of creating a test dataset of NGS data and creating appropriate metrics to evaluate the quality of the mapping and their subsequent usage on the chosen mapping tools.
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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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Identification of non-coding RNAs of Clostridium beijerinckii NRRL B-598 using RNA-Seq data
Pomykalová, Barbora ; Sedlář, Karel (referee) ; Jurečková, Kateřina (advisor)
This bachelor thesis contains short introduction into bacterial small non-coding RNA problematic. It is oriented on their features and functions in organisms, especially in bacteria Clostridium beijerinckii NRRL B-598. Bachelor thesis also contains description of various laboratory methods for gene expression determination and suggests a detection method for small non-coding RNA in bacteria Clostridium beijerinckii NRRL B-598. Suggested method works with data, which were obtained by RNA-Seq technology. Within the framework of the bachelor thesis was suggested method implemented in programming and numeric computing platform MATLAB and its results were discussed.
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Digital processing of plant genomes
Jugas, Robin ; Škutková, Helena (referee) ; Sedlář, Karel (advisor)
This work continues in development of DNA numerical representation’s field in the recent years. The aim of this bachelor thesis is to work out an overview of numerical representations of DNA sequences and to describe the differences and properties of nuclear and mitochondrial genetic code focused on plants. Final objective is analysis of usability these signal’s representations for classification of organisms. The theoretical part is focused on description of biological facts, overview of conversion methods of DNA sequences into signals, the methods of organisms classification and the DTW algorithm. The practical part contain the created GUI application for organism classification based on numerical sequences and the analysis of usability these numerical representations for classification. The outputs of cluster analysis of numerical sequences are compared with the phylogenetic tree.
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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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The use of genomic signal compression for classification and identification of organisms
Sedlář, Karel ; Vítek, Martin (referee) ; Škutková, Helena (advisor)
Modern classification of organisms is performed on molecular data. These methods rely on multiple alignment of sequences of characters which make them computationally demanding. Only small parts of genomes can be compared in reasonable time. In this paper, the novel algorithm based on conversion of the whole genome sequences to cumulative phase signals is presented. Dyadic wavelet transform is used for lossy compression of signals by redundant frequency bands elimination. Signal classification is then performed as a cluster analysis using Euclidian metrics where multiple alignment is replaced by dynamic time warping.
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Properties of current signals in nanopore sequencing
Plocková, Veronika ; Nykrýnová, Markéta (referee) ; Sedlář, Karel (advisor)
Oxford Nanopore technologies brought new and revolutionary technology in the field of DNA sequencing. Their sequencing device measures changes in the electric current flowing through pores together with DNA. This work aims to describe differences between raw signals produced by various sequencing kits and sequencing flowcells while sequencing several different bacteria. Two datasets combining five different organisms, two sequencing kits, and two types of flowcells were used to analyze various statistical parameters that would be suitable for the description of current signals gathered from nanopores. Finally, the samples were classified using the k-means algorithm and the results were discussed.
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