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Fourier transformation for exon prediction
Rusina, Michal ; Škutková, Helena (referee) ; Maděránková, Denisa (advisor)
In this bachelor thesis there are described the methods of the prediction of exon. The first part is aimed at the difference between the prokaryotic and eukaryotic organisms, the description of the DNA structure and the explanation of the terms exon and intron. The second section of the theoretic part includes four methods of the prediction of exons namely dynamic programming, neural networks, hidden Markov models and discrete Fourier transform. In the practical part there was created the program called Predikce_exonu that searches exons in nucleotide sequences and works on the principle of the Fourier transform. This algorithm together with 3 freely available programs was tested on 25 sequences and the success of their prediction was described by sensitivity and specificity.
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Bioinformatics of human genome
Kupková, Karolína ; Provazník, Ivo (referee) ; Maděránková, Denisa (advisor)
Bachelor thesis deals with DNA segments containing only adenine and guanine. The theoretical part describes the structure and composition of deoxyribonucleic acid, chromosomes and genes. There are basic informations about chimpanzees and the human genome and conformations of the chains containing adenine with guanine. The practical part consists of a program that searches for the required sections in sequence, it displays and saves it. The thesis includes analysis of genes which are common for humans and chimpanzees, which were analyzed to determine randomness, functionality a preserving of these sections.
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Fuzzy classification of DNA sequences
Těthal, Jiří ; Maděránková, Denisa (referee) ; Škutková, Helena (advisor)
The work deals with the fuzzy classification of DNA sequences. In the first part the theory summarized information about Fuzzy logic and methods of its use in the classification of biological sequence data. The second part is practically deal with the classification algorithm for assessing the similarity of sequences. Specifically, the dividing of coding and non-coding parts of the sequence and the use of fuzzy classification in DNA barcoding.
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Fourier transformation for exon prediction
Rusina, Michal ; Škutková, Helena (referee) ; Maděránková, Denisa (advisor)
In this bachelor thesis there are described the methods of the prediction of exon. The first part is aimed at the difference between the prokaryotic and eukaryotic organisms, the description of the DNA structure and the explanation of the terms exon and intron. The second section of the theoretic part includes four methods of the prediction of exons namely dynamic programming, neural networks, hidden Markov models and discrete Fourier transform. In the practical part there was created the program called Predikce_exonu that searches exons in nucleotide sequences and works on the principle of the Fourier transform. This algorithm together with 3 freely available programs was tested on 25 sequences and the success of their prediction was described by sensitivity and specificity.
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|
|
Bioinformatics of human genome
Kupková, Karolína ; Provazník, Ivo (referee) ; Maděránková, Denisa (advisor)
Bachelor thesis deals with DNA segments containing only adenine and guanine. The theoretical part describes the structure and composition of deoxyribonucleic acid, chromosomes and genes. There are basic informations about chimpanzees and the human genome and conformations of the chains containing adenine with guanine. The practical part consists of a program that searches for the required sections in sequence, it displays and saves it. The thesis includes analysis of genes which are common for humans and chimpanzees, which were analyzed to determine randomness, functionality a preserving of these sections.
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Fuzzy classification of DNA sequences
Těthal, Jiří ; Maděránková, Denisa (referee) ; Škutková, Helena (advisor)
The work deals with the fuzzy classification of DNA sequences. In the first part the theory summarized information about Fuzzy logic and methods of its use in the classification of biological sequence data. The second part is practically deal with the classification algorithm for assessing the similarity of sequences. Specifically, the dividing of coding and non-coding parts of the sequence and the use of fuzzy classification in DNA barcoding.
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