Národní úložiště šedé literatury Nalezeno 2 záznamů.  Hledání trvalo 0.01 vteřin. 
Typing of bacterial populations based on methylation site detection
Hlavatá, Kristína ; Sedlář, Karel (oponent) ; Škutková, Helena (vedoucí práce)
This bachelor’s thesis focuses on the detection of DNA methylations and the development of a methodology for typing bacterial strains. DNA methylations play a crucial role as a regulatory mechanism in the genome, influencing the final characteristics of organisms. We employed DeepSignal2 to detect methylation patterns in 10 strains of Klebsiella pneumoniae. Furthermore, we designed a typing method based on the identified methylations to categorize the bacterial strains. This thesis contributes to the improvement of our understanding of regulatory mechanisms in bacterial genomes and presents a novel approach for typing strains using DNA methylation patterns. It provides valuable insights into the characterization and classification of bacterial strains based on their methylomes.
Typing of bacterial populations based on methylation site detection
Hlavatá, Kristína ; Sedlář, Karel (oponent) ; Škutková, Helena (vedoucí práce)
This bachelor’s thesis focuses on the detection of DNA methylations and the development of a methodology for typing bacterial strains. DNA methylations play a crucial role as a regulatory mechanism in the genome, influencing the final characteristics of organisms. We employed DeepSignal2 to detect methylation patterns in 10 strains of Klebsiella pneumoniae. Furthermore, we designed a typing method based on the identified methylations to categorize the bacterial strains. This thesis contributes to the improvement of our understanding of regulatory mechanisms in bacterial genomes and presents a novel approach for typing strains using DNA methylation patterns. It provides valuable insights into the characterization and classification of bacterial strains based on their methylomes.

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