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Metabolite Genome-Wide Association Studies Of Arabidopsis Thaliana
Schwarzerová, Jana
Current research based on the edge of bioinformatics and ecology engineering has hugepotential due to combination of laboratory analyses and advanced bioinformatics algorithms.The paper deals with a combination of GC-MS and LC-MS based metabolomic analysis for identificationand quantitation of metabolites in environmental perturbations with advanced bioinformaticsapproach of metabolite genome-wide association studies (mGWAS). This complex view is appliedto Arabidopsis thaliana. The main goal is to obtain genetic predictions focused on A. thalianaunder different environmental conditions. Currently, important ecological issues such as climatechange, pollution etc. have impact on the change of environment. It has a great effect on plantswhich serves as producers of oxygen or food. While simple observation reveals only a phenotypechange, changes in genotypes of organisms can be captured using mGWAS and further utilized inindustrial ecology and biotechnology.
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Utilization of GRID technology in processing of medical information
Kulhánek, Tomáš ; Šárek, Milan (advisor) ; Kittnar, Otomar (referee) ; Anjum, Ashiq (referee)
This thesis focuses on selected areas of biomedical research in order to benefit from current computational infrastructures established in scientific community in european and global area. The theory of computation, parallelism and distributed computing, with focus on grid computing and cloud computing, is briefly introduced. Exchange of medical images was studied and a seamless integration of grid-based PACS system was established with the current distributed system in order to share DICOM medical images. Voice science was studied and access to real-time voice analysis application via remote desktop technology was introduced using customized protocol to transfer sound recording. This brings a possibility to access current legacy application remotely by voice specialists. The systems biology approach within domain of human physiology and pathophysiology was studied. Modeling methodology of human physiology was improved in order to build complex models based on acausal and object-oriented modeling techniques. Methods for conducting a parameter study (especially parameter estimation and parameter sweep) were introduced using grid computing and cloud computing technology. The identification of parameters gain substantial speedup by utilizing cloud computing deployment when performed on medium complex models of...
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Functional genomic and pharmacogenomic analysis of metabolic syndrome aspects
Krupková, Michaela ; Šeda, Ondřej (advisor) ; Haluzík, Martin (referee) ; Polák, Jan (referee)
Metabolic syndrome is a prevalent disease characterized by concurrent manifestation of insulin resistance, obesity, dyslipidemia, hypertension and other hemodynamic and metabolic disorders. It has multifactorial type of inheritance and its resultant phenotype is determined by both environmental and genetic factors as well as their interactions. That is the main reason why comprehensive analysis of the genetic component of this syndrome is complicated in human population. Genetically designed experimental animal models are significant tools for analysis of genetic architecture of human complex conditions including the metabolic syndrome. The aim of this Thesis is utilization of functional and comparative genomic tools to uncover pathogenesis of metabolic syndrome aspects and their genetic determinants. We also studied pharmacogenetic interactions of these genetic determinants with drugs affecting particular components of the metabolic syndrome. Establishing and utilizing several genetically designed congenic rat strains, we undertook four different research projects focusing on pharmacogenetic interaction of all-trans retinoic acid and ondansetron with differential segment of rat chromosome 8, pharmacogenetic interaction of differential segment of rat chromosome 4 and dexamethasone, determining Plzf...
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Functional genomic and pharmacogenomic analysis of metabolic syndrome aspects
Krupková, Michaela ; Šeda, Ondřej (advisor) ; Haluzík, Martin (referee) ; Polák, Jan (referee)
Metabolic syndrome is a prevalent disease characterized by concurrent manifestation of insulin resistance, obesity, dyslipidemia, hypertension and other hemodynamic and metabolic disorders. It has multifactorial type of inheritance and its resultant phenotype is determined by both environmental and genetic factors as well as their interactions. That is the main reason why comprehensive analysis of the genetic component of this syndrome is complicated in human population. Genetically designed experimental animal models are significant tools for analysis of genetic architecture of human complex conditions including the metabolic syndrome. The aim of this Thesis is utilization of functional and comparative genomic tools to uncover pathogenesis of metabolic syndrome aspects and their genetic determinants. We also studied pharmacogenetic interactions of these genetic determinants with drugs affecting particular components of the metabolic syndrome. Establishing and utilizing several genetically designed congenic rat strains, we undertook four different research projects focusing on pharmacogenetic interaction of all-trans retinoic acid and ondansetron with differential segment of rat chromosome 8, pharmacogenetic interaction of differential segment of rat chromosome 4 and dexamethasone, determining Plzf...
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Utilization of GRID technology in processing of medical information
Kulhánek, Tomáš ; Šárek, Milan (advisor) ; Kittnar, Otomar (referee) ; Anjum, Ashiq (referee)
This thesis focuses on selected areas of biomedical research in order to benefit from current computational infrastructures established in scientific community in european and global area. The theory of computation, parallelism and distributed computing, with focus on grid computing and cloud computing, is briefly introduced. Exchange of medical images was studied and a seamless integration of grid-based PACS system was established with the current distributed system in order to share DICOM medical images. Voice science was studied and access to real-time voice analysis application via remote desktop technology was introduced using customized protocol to transfer sound recording. This brings a possibility to access current legacy application remotely by voice specialists. The systems biology approach within domain of human physiology and pathophysiology was studied. Modeling methodology of human physiology was improved in order to build complex models based on acausal and object-oriented modeling techniques. Methods for conducting a parameter study (especially parameter estimation and parameter sweep) were introduced using grid computing and cloud computing technology. The identification of parameters gain substantial speedup by utilizing cloud computing deployment when performed on medium complex models of...
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