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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.
Úplný záznam
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.
Úplný záznam

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