National Repository of Grey Literature 3 records found  Search took 0.00 seconds. 
Reconstruction of DNA Sequences Containing Repetitive Patterns
Dvořáček, Vojtěch ; Vogel, Ivan (referee) ; Martínek, Tomáš (advisor)
This bachelor thesis focuses on reconstruction of repetitive patterns in DNA sequences. Although it is motivated by need to create automated tool for telomere characterization in plant  genomes, its goal is creating general solution of given problem. Suggested solution is based on k-mer analysis, which is alignment free method. Its greatest advantage lies in possibility to reconstruct repetitive patterns from NGS sequencing data. Within the scope of this work was designed and iplemented solution, which is able to automatically estiamte suitable parametres for k-mer analysis from input data and optimize them by local state space search method.
Vývoj molekulárních markerů pro chromozom W u modráska \kur{Polyommatus icarus}
HRUBÁ, Monika
This thesis focuses on development of molecular markers for the W chromosome in the blue butterfly Polyommatus icarus. In this blue butterfly, karyotype races with different constitution of the neo-sex chromosomes were reported. The markers were used for PCR sexing of the early developmental stages to obtain sex-specific total RNA samples for testing a role of sexually antagonistic selection in fixation of neo-sex chromosomes.
Reconstruction of DNA Sequences Containing Repetitive Patterns
Dvořáček, Vojtěch ; Vogel, Ivan (referee) ; Martínek, Tomáš (advisor)
This bachelor thesis focuses on reconstruction of repetitive patterns in DNA sequences. Although it is motivated by need to create automated tool for telomere characterization in plant  genomes, its goal is creating general solution of given problem. Suggested solution is based on k-mer analysis, which is alignment free method. Its greatest advantage lies in possibility to reconstruct repetitive patterns from NGS sequencing data. Within the scope of this work was designed and iplemented solution, which is able to automatically estiamte suitable parametres for k-mer analysis from input data and optimize them by local state space search method.

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