National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Metagenomic analysis of child gut microbioma
Zourková, Tereza ; Škutková, Helena (referee) ; Bartoň, Vojtěch (advisor)
The thesis is focused on the influence of the metagenome on child growth and the reasons for the usefulness of investigating the consequences of changes in the human intestinal microbiome. It also describes the general problematics of the microbiome and the history of its studies. The composition of the human intestinal microbiome and the connection with the immune system or, for example, hormone production, are also described here. The thesis also contains information on some methods of metagenome analysis, namely microscopic methods using previous cultivation, mass spectrometry and sequencing methods. The data analysis procedure using various bioinformatics software, with which the data were appropriately pre-processed, is also described here. Filtered data in this way are ready for the following metagenome profiling, which is also described here. At the end of the thesis, the profiling results are evaluated, based on which the course of changes in the microbiome during the aging of the child are estimated, which is the main goal of this bachelor's thesis.
The Effect Of Quality Trimming On Joining Paired-End Reads In Microbiome Data Analysis
Heřmánková, Kristýna
The main goal of microbiome research is to determine the microbial composition of atarget sample. In successfully performed research, a cause of a disease can be found or pathogensin an environmental sample can be revealed. The correct evaluation of microorganisms present inthe analysed sample is therefore required, but unfortunately not that often reached. The accuracy ofthe resulting composition can be affected already in pre-processing steps of the analysis. The frequentissue that can negatively affect the reliability of research is data loss. This loss is most commonin the case of the paired-end reading method. The occurrence of data loss can be caused by theneed of joining this pair of sequences into one continuous sequence. The need of joining reads withlow-quality ends together can lead to counts reduction of sequences in an available dataset, andtherefore unrealistic results can be obtained. This paper shows, how quality trimming can affect thenumber of lost sequences during the reads joining step.

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