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
Degree Programme
Files
Reason for publication postponement

The publication of the Doctoral Degree's thesis is in accordance with the provision of § 47b par. 4 of the Act no. 111/1998 Coll., about universities and about the change and supplementing other laws (Higher Education Act), as amended, delayed by 3 years. The reason for the delay of the publication is the protection of intellectual property of unpublished results of the student and the University of Copenhagen and the need for protection under the Act no. 121/2000 Coll. on Copyright, Rights Related to Copyright and on the Amendment of Certain Laws (Copyright Act).

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/"
}
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