Národní úložiště šedé literatury Nalezeno 2 záznamů.  Hledání trvalo 0.00 vteřin. 
Processing of Unique Molecular Identifiers without Mapping to a Reference Genome
Barilíková, Lujza ; Demko, Martin (oponent) ; Sedlář, Karel (vedoucí práce)
The main purpose of this thesis is to design a new algorithm for processing unique molecular identifiers (UMIs) without mapping to a reference genome. These random oligonucleotide sequences are attracting an increasing interest due to its ability to facilitate PCR error and bias recognition. Since there has been a rapid rise in the use of next-generation sequencing (NGS) technologies, great effort has been put into the development of tools for data analysis. At present, tools to solve these errors are usually relative time-consuming and complex due to computationally demanding alignment. The most important limitation of these tools lies in the fact that multi-mapping reads are allowed when processing duplicates. These reads are usually ignored and may lead to a reduction of quantitative accuracy and cause misleading interpretation of sequencing results. In order to solve this problem, a new approach is introduced in this thesis, which allows estimating the absolute number of unique molecules with relatively fast and reliable performance.
Processing of Unique Molecular Identifiers without Mapping to a Reference Genome
Barilíková, Lujza ; Demko, Martin (oponent) ; Sedlář, Karel (vedoucí práce)
The main purpose of this thesis is to design a new algorithm for processing unique molecular identifiers (UMIs) without mapping to a reference genome. These random oligonucleotide sequences are attracting an increasing interest due to its ability to facilitate PCR error and bias recognition. Since there has been a rapid rise in the use of next-generation sequencing (NGS) technologies, great effort has been put into the development of tools for data analysis. At present, tools to solve these errors are usually relative time-consuming and complex due to computationally demanding alignment. The most important limitation of these tools lies in the fact that multi-mapping reads are allowed when processing duplicates. These reads are usually ignored and may lead to a reduction of quantitative accuracy and cause misleading interpretation of sequencing results. In order to solve this problem, a new approach is introduced in this thesis, which allows estimating the absolute number of unique molecules with relatively fast and reliable performance.

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2 Demko, Marián
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