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Searching adenine and guanine rich regions
Vlachynská, Alžběta ; Provazník, Ivo (referee) ; Maděránková, Denisa (advisor)
This work deals with searching adenine and guanine rich regions. Their finding which determines the randomness and functionality may lead to better understanding genetic data storage in DNA sequences. The first part of the work describes the chemical composition and structure of DNA, its replication, transcription and translation. It contains the basic information about the genome. The next chapter deals with numerical representation of DNA sequences, necessary for a computer processing. Nucleotide density is a method suitable for searching adenine and guanine rich regions. The practical part of the work is an application designed and implmented in MATLAB environment. The last part is the analysis of human, chimpanzee and mice genes.
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Photosynthetic cell suspension cultures quantitative image data processing
Vlachynská, Alžběta ; Búzová,, Diana (referee) ; Červený,, Jan (advisor)
This work was carried out in collaboration with the Department of Adaptive Biotechnologies, Global Change Research Centre AS CR. It deals with the quantitative analysis of photosynthetic cell cultures. It uses images captured by a confocal fluorescent microscope to the automatic determining the number of cells in the sample. The work consists of a theoretical analysis, which briefly describes fluorescence and confocal microscopy. It also concisely introduces a microscope Leica TCS SP8 X, which I used to scan data. One capture is devoted to the theory of digital image processing. The second part deskribes the development of algorithm for processing 3D data and simplified algorithm for processing 2D data and its program implementations in a programming environment MATLAB R2013b. Grafical user interface is explained in detail. Done measurement are presented at the conclusion. It mentions compiled sample preparation protocol. The results of the program are compared with manual counting. Number of cells per 1 ml are determined by created program in samples of cell cultures Chenopodium rubrum (Cr) and Solanum lycopersicum (To).
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Searching adenine and guanine rich regions
Vlachynská, Alžběta ; Provazník, Ivo (referee) ; Maděránková, Denisa (advisor)
This work deals with searching adenine and guanine rich regions. Their finding which determines the randomness and functionality may lead to better understanding genetic data storage in DNA sequences. The first part of the work describes the chemical composition and structure of DNA, its replication, transcription and translation. It contains the basic information about the genome. The next chapter deals with numerical representation of DNA sequences, necessary for a computer processing. Nucleotide density is a method suitable for searching adenine and guanine rich regions. The practical part of the work is an application designed and implmented in MATLAB environment. The last part is the analysis of human, chimpanzee and mice genes.
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Photosynthetic cell suspension cultures quantitative image data processing
Vlachynská, Alžběta ; Búzová,, Diana (referee) ; Červený,, Jan (advisor)
This work was carried out in collaboration with the Department of Adaptive Biotechnologies, Global Change Research Centre AS CR. It deals with the quantitative analysis of photosynthetic cell cultures. It uses images captured by a confocal fluorescent microscope to the automatic determining the number of cells in the sample. The work consists of a theoretical analysis, which briefly describes fluorescence and confocal microscopy. It also concisely introduces a microscope Leica TCS SP8 X, which I used to scan data. One capture is devoted to the theory of digital image processing. The second part deskribes the development of algorithm for processing 3D data and simplified algorithm for processing 2D data and its program implementations in a programming environment MATLAB R2013b. Grafical user interface is explained in detail. Done measurement are presented at the conclusion. It mentions compiled sample preparation protocol. The results of the program are compared with manual counting. Number of cells per 1 ml are determined by created program in samples of cell cultures Chenopodium rubrum (Cr) and Solanum lycopersicum (To).
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