Thesis Details
Single-Cell Genotyping
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.
genotyping, bulk DNA, single cell, machine learning, discriminant analysis, recombination, SNP array
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 The reason for the delay of the publication is the protection of intellectual property of unpublished results of the student and the University of Copenhagen and the need for protection under the Act no. 121/2000 Coll.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).
@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/"
}