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Gene Searching - Web Application
Stiborová, Lucie ; Koutný, Jiří (referee) ; Burgetová, Ivana (advisor)
The aim of my Bachelor's Thesis is to create a user interface and to implement the web application with the genes' searching. This is the educational application when each user has a possibility of entering own nucleotide sequences or selecting a redefined chain. This application has to be able to read, process and decide on the existence of a potential gene. On the base of this simple statistic method the result is given back to the user.
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Database System for Biological Data Management
Drlík, Radovan ; Burgetová, Ivana (referee) ; Jaša, Petr (advisor)
This thesis describes the problems of storage and management of biological data, particularly of Haloalkane Dehalogenase enzymes. Furthermore, the thesis aims at project HADES (HAloalkane DEhalogenase databaSe) initiated by protein engineering group of Loschmidt Laboratories, Masaryk University in Brno. This is a project whose main goal is simply to store, preserve and display a wide variety of proteins data. The result of this work is a flexible database system allowing easy extensibility and maintainability, which is built on technologies Apache, PostgreSQL and PHP using the Zend Framework.
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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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Techniques for Comparing Biological Sequences
Sladký, Roman ; Křivka, Zbyněk (referee) ; Burgetová, Ivana (advisor)
This work presents the building up of basic biological units DNA, RNA and proteins as well as their function. Provided data are kept in biological databases which are connected worldwide to supply preferable communication along with all kinds of available information to be used in the scientific research. The secret of alive is hidden in genes coded in sequences of nucleotides. Genes enable the creation of proteins which are made of sequences of amino-acids. The wide-spread methods of comparing these sequences are FASTA and BLAST algorithms. Their base is used for the PSProt program which is described in this work. PSProt program is the tool for comparing the sequences of proteins. First it is necessary to synthesise the protein from the DNA oligonucleotide because it codes the surveyed protein. The most similar proteins are searched out by heuristic of hitpoints, then their final score that is essential for aligning is modified by semiglobal alignment algorithm.
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