Thesis Details

Single-Cell Genotyping

Ph.D. Thesis Student: Vogel Ivan Academic Year: 2020/2021 Supervisor: Zendulka Jaroslav, doc. Ing., CSc.
Czech title
Single-Cell genotypování
Language
English
Abstract

Single-cell genotyping is a challenging part of genomics that deals with insufficient amount of DNA for analysis and methods that amplify the single cell DNA introduce bias in the data. This thesis maps the state of the art of bioinformatics analysis in genomics, particularly SNP array genotyping and proposes and implements original method for tackling the noise in the single-cell data. Moreover, few original algorithms for knowledge extraction from single cell data are presented and the functionality of the workflow is demonstrated on real data from products of female meiosis.

Keywords

genotyping, bulk DNA, single cell, machine learning, discriminant analysis, recombination, SNP array

Department
Department of Information Systems FIT BUT
Degree Programme
Computer Science and Engineering, Field of Study Computer Science and Engineering
Files
Status
defended
Date
12 October 2020
Citation
VOGEL, Ivan. Single-Cell Genotyping. Brno, 2020. Ph.D. Thesis. Brno University of Technology, Faculty of Information Technology. 2020-10-12. Supervised by Zendulka Jaroslav. Available from: https://www.fit.vut.cz/study/phd-thesis/657/
BibTeX 
@phdthesis{FITPT657,
    author = "Ivan Vogel",
    type = "Ph.D. thesis",
    title = "Single-Cell Genotyping",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2020,
    location = "Brno, CZ",
    language = "english",
    url = "https://www.fit.vut.cz/study/phd-thesis/657/"
}

Theses

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