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Bioinformatic analysis of single nucleotide polymorphisms in the 1000 Genomes Project database
Parobková, Viktória ; Roy, Sudeep (oponent) ; Provazník, Ivo (vedoucí práce)
The whole-Genome sequencing and its variations discovery were challenging for many years. The knowledge of all genetic variations is remarkably beneficial in disease research. The bachelor thesis is dedicated to human genetic variations and its two main research projects, the HapMap Project and the 1000 Genomes Project which notably helped the disease analyses. The first part describes both Projects and the following part explains the structure of their databases and presents software which enables to browse and download data from these projects. At last, statistical, population and bioinformatic analyses are performed on structural variant dataset assembled by the 1000 Genomes Project.
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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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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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Molekulárna detekcia hepatitídy C u vybranej skupiny pacientov
KALINAYOVÁ, Daniela
Táto bakalárska práca sa zaoberá výskytom hepatitídy C a jeho detekciou zameranou na priamy dôkaz vírusu. Teoretická časť popisuje a rozdeľuje hepatitídu na akútnu a chronickú, zameriava sa na jej genetickú variabilitu a vysvetľuje ako sa tento vírus správa, prenáša a mutuje. Mutáciou vznikajú jeho ďalšie varianty, ktoré je potrebné od seba odlíšiť ak chceme nastaviť účinnú liečbu. Praktická časť nám podáva informácie o výskyte HCV medzi mužmi a ženami, ktorý sú prehľadne rozdelení v tabuľkách podľa roku narodenia, pozitivity a negativity. Zaoberá sa tiež aj dourčením daného genotypu/subtypu.
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Bioinformatic analysis of single nucleotide polymorphisms in the 1000 Genomes Project database
Parobková, Viktória ; Roy, Sudeep (oponent) ; Provazník, Ivo (vedoucí práce)
The whole-Genome sequencing and its variations discovery were challenging for many years. The knowledge of all genetic variations is remarkably beneficial in disease research. The bachelor thesis is dedicated to human genetic variations and its two main research projects, the HapMap Project and the 1000 Genomes Project which notably helped the disease analyses. The first part describes both Projects and the following part explains the structure of their databases and presents software which enables to browse and download data from these projects. At last, statistical, population and bioinformatic analyses are performed on structural variant dataset assembled by the 1000 Genomes Project.
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