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Methodology of historical bricks and masonry tests
Bartoň, Vojtěch ; Anton, Ondřej (referee) ; Cikrle, Petr (advisor)
This diploma thesis is focused on methodology for sorting of solid fired bricks for reconstruction of historical buildings. The theorethical part of this thesis includes description of production technology of solid fired bricks and diagnostic methods. In practical part there are these methods aplied on the solid fired bricks, which are intended for reconstruction of the bridge in Sedlec. There are monitored changes in structure of solid fired bricks caused by repeated freezing and defrosting. This changes are monitored by resonant frequency method and ultasonic pulse method.
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The impact of cannabidiol consumption on oral microbiome composition
Richweissová, Viktória ; Bartoň, Vojtěch (referee) ; Čejková, Darina (advisor)
The composition of oral microbiome plays a significant role in maintaining both oral, and overall systemic health. When in equilibrium, the oral microbiome maintains the oral cavity in health. However, certain ecological shifts in the microbiota allow pathogens to manifest and cause various oral and systemic diseases. The analysis of the oral microbiome makes it possible to define the role of its components in health and disease, and the effect of various therapeutic techniques on its composition. This bachelor's thesis investigates the possible effect of toothpaste with cannabidiol on oral microbiome. The aim of this work is the bioinformatics analysis of oral microbiome communities before and after using CBD toothpaste using pipeline QIIME 2.
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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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Mobile application for depressive states monitoring
Kamenská, Veronika ; Bartoň, Vojtěch (referee) ; Škutková, Helena (advisor)
The bachelor thesis named Mobile application for monitoring of depressive states has the goal of creating a functional mobile application using the MIT app inventor. This application offers several tests used to determine the user's mental state and options for sending the data. Part of the thesis is also the development of computer software using Python. This software can be used by psychologists to view and evaluate the patient's mental state. To streamline work between consultations, a part of the thesis also aims to create a PC software that uses the data gathered by the application to help psychologists evaluate the condition. And at the end of the work, to statistically evaluate the test results obtained during the winter semester of 2020.
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Numerical representations of protein sequences for classification
Bartoň, Vojtěch ; Škutková, Helena (referee) ; Maděránková, Denisa (advisor)
Todays we have the opportunity to analyze huge sets of genomics and proteomics data. In my bachaleor thesis I introduce a few numerical alternatives to represent proteins. The usage of numerical representations opened the way to analyze proteomics data as digital signals, which bring us quantity of new possibilities how to process the protein. In my thesis I compare a few numerical representation with standard taxonomy and with symbolic representation too.
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Preliminary survey and assessment the building before renovation
Bartoň, Vojtěch ; Stehlík, Michal (referee) ; Cikrle, Petr (advisor)
This bachelor thesis deals with the construction and technical survey of a masonry building with cast iron columns. Construction-technical survey was carried out, due to the planned conversion of the building into a apartment building with public services. The thesis contains description of construction and technological survey and diagnostic methods, which includes evaluation of essential characteristics of masonry structures and cast iron columns. The practical part contains processing of diagnostic survey. Its result is determination of material and geometric characteristics of the structure.
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Gene identification in nanopore squiggles
Talanin, Nikita ; Nykrýnová, Markéta (referee) ; Bartoň, Vojtěch (advisor)
Nanopore sequencing is a new and rapidly developing technology that allows for the direct sequencing of single-stranded DNA and RNA in real-time. The result of the sequencing is the so-called squiggle, which is a time series of current intensities as nucleotides pass through the nanopore. Identifying genes in these squiggles is a crucial step for the utilization of this data in genomic studies. This bachelor's thesis focuses on the development and testing of a method for automatic gene identification in squiggles from nanopore sequencing. The aim was to create a system capable of quickly and accurately identifying genes in squiggles, thereby supporting further analysis and interpretation of nanopore sequencing data. The method utilizes Convolutional Neural Networks (CNN), which have been successfully used in many other areas of bioinformatics. A large dataset of squiggles, labeled according to the gene they represent, was used to train the model. The results show that the system can identify genes in squiggles with a certain level of accuracy and can be an effective tool for nanopore sequencing data analysis
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Gene identification in nanopore squiggles
Talanin, Nikita ; Nykrýnová, Markéta (referee) ; Bartoň, Vojtěch (advisor)
Nanopore sequencing is a new and rapidly developing technology that allows for the direct sequencing of single-stranded DNA and RNA in real-time. The result of the sequencing is the so-called squiggle, which is a time series of current intensities as nucleotides pass through the nanopore. Identifying genes in these squiggles is a crucial step for the utilization of this data in genomic studies. This bachelor's thesis focuses on the development and testing of a method for automatic gene identification in squiggles from nanopore sequencing. The aim was to create a system capable of quickly and accurately identifying genes in squiggles, thereby supporting further analysis and interpretation of nanopore sequencing data. The method utilizes Convolutional Neural Networks (CNN), which have been successfully used in many other areas of bioinformatics. A large dataset of squiggles, labeled according to the gene they represent, was used to train the model. The results show that the system can identify genes in squiggles with a certain level of accuracy and can be an effective tool for nanopore sequencing data analysis
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