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Comparison of mitochondrial DNA for species identification
Labounek, René ; Provazník, Ivo (referee) ; Maděránková, Denisa (advisor)
The work deals with the method of recognizing species on the analysis of mitochondrial DNA segment. This analysis and classification using segment gene called CO1 in literatures such as barcode of life. In the beginning of work is analyzed the mitochondrial theory of heredity and conditions of formation of barcode. Practical use is based on this theory in creating database of barcodes generated to different animal species. Data used for creating the library are drawn from public databases NCBI and BOLD Systems. The next part of this work concerns about methods of comparison of the individual barcodes to the others and especially to the barcode of human. Three main computing methods were used tore these analyses: Needleman-Wunsch algorithm, Smith- Waterman algorithm and comparison of similarities using distance matrix. This work also concerns about transformation of DNA molecule sequences from symbols to numeric formats, which is required for the distance matrix comparison method. Algorithms for searching for a barcode of a species and vice versa were created to ease the work with data.
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Clustering of Protein Sequences Based on Primary Structure of Proteins
Jurásek, Petr ; Stryka, Lukáš (referee) ; Burgetová, Ivana (advisor)
This master's thesis consider clustering of protein sequences based on primary structure of proteins. Studies the protein sequences from they primary structure. Describes methods for similarities in the amino acid sequences of proteins, cluster analysis and clustering algorithms. This thesis presents concept of distance function based on similarity of protein sequences and implements clustering algorithms ANGES, k-means, k-medoids in Python programming language.
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Clustering of Protein Sequences Based on Primary Structure of Proteins
Jurásek, Petr ; Stryka, Lukáš (referee) ; Burgetová, Ivana (advisor)
This master's thesis consider clustering of protein sequences based on primary structure of proteins. Studies the protein sequences from they primary structure. Describes methods for similarities in the amino acid sequences of proteins, cluster analysis and clustering algorithms. This thesis presents concept of distance function based on similarity of protein sequences and implements clustering algorithms ANGES, k-means, k-medoids in Python programming language.
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Comparison of mitochondrial DNA for species identification
Labounek, René ; Provazník, Ivo (referee) ; Maděránková, Denisa (advisor)
The work deals with the method of recognizing species on the analysis of mitochondrial DNA segment. This analysis and classification using segment gene called CO1 in literatures such as barcode of life. In the beginning of work is analyzed the mitochondrial theory of heredity and conditions of formation of barcode. Practical use is based on this theory in creating database of barcodes generated to different animal species. Data used for creating the library are drawn from public databases NCBI and BOLD Systems. The next part of this work concerns about methods of comparison of the individual barcodes to the others and especially to the barcode of human. Three main computing methods were used tore these analyses: Needleman-Wunsch algorithm, Smith- Waterman algorithm and comparison of similarities using distance matrix. This work also concerns about transformation of DNA molecule sequences from symbols to numeric formats, which is required for the distance matrix comparison method. Algorithms for searching for a barcode of a species and vice versa were created to ease the work with data.
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