National Repository of Grey Literature 13 records found  previous11 - 13  jump to record: Search took 0.00 seconds. 
Consequences of an infectious disease on genetic information in DNA sequences in bats
Nováková, Markéta ; Martínková, Natália (advisor) ; Lučan, Radek (referee)
White­nose syndrome is an emerging fungal disease of bats causing massive die­offs in North American populations. The fungus causes lesions on bat skin, mainly on noses, ears and wing membranes. The infection by the fungus is accompanied by serious disruption of metabolism and hibernation physiology that is lethal to bats in North America. European bats seem to survive the disease in greater numbers. Since the fungus is probably of European origin, this study assumes that bats in Europe have developed inheritable defence mechanisms to the disease. The infection by the fungus serves as a strong selective pressure. We tested sequences of 7 genes for signs of positive selection using maximum likelihood approach. We detected past positive selection in the gene for transglutaminase 1.
Pozitive and negative selection of mitochondrial genome
Svoboda, Matěj ; Kupková, Kristýna (referee) ; Maděránková, Denisa (advisor)
The bachelor thesis engages with problematics of positive and negative selection of mitochondrial genome. Thesis is divided into two parts. First part grapples with theory and explanation of fundamental definitions, in particular understates mitochondrial genome, nucleotide mutation, positive and negative selection and furthermore evolution models. Second part focuses on processing mitochondrial DNA practically and on establishing functions in programming environment R. The emphasis is foremost on gene sequencing alignment and exploring substitutions. Consequently, obtained outcomes are contrasted with PAML and KaKs Calculator programme outcomes.
Artificial Immune Computational Systems
Neuwirth, David ; Schwarz, Josef (referee) ; Sekanina, Lukáš (advisor)
Artificial immune computational system is a relatively new branch in the area of computer systems. This bachelors thesis presents the fact that we can be inspired by biological immune systems and that we can use their attributes and principles in the artificial immune computational systems. On the following pages you can meet several examples, where and how the principles had been already used. The last part of this work is devoted to implementation of educational material into the lesson ( http://www.stud.fit.vutbr.cz/~xneuwi00/AIS/ ).

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