Understanding 3D genome structure is crucial to learn how chromatin folds and how genes are regulated through the spatial organization of regulatory elements. Various technologies have been developed to investigate genome architecture. These technologies include ligation-based 3C Methodologies such as Hi-C and Micro-C, ligation-based pull-down methods like Proximity Ligation-Assisted ChIP-seq (PLAC Seq) and Paired-end tag sequencing (ChIA PET), and ligation-free methods like Split-Pool Recognition of Interactions by Tag Extension (SPRITE) and Genome Architecture Mapping (GAM). Although these technologies have provided great insight into chromatin organization, a systematic evaluation of these technologies is lacking. Among these technologies, Hi-C has been one of the most widely used methods to map genome-wide chromatin interactions for over a decade. To understand how the choice of experimental parameters determines the ability to detect and quantify the features of chromosome folding, we have first systematically evaluated two critical parameters in the Hi-C protocol: cross-linking and digestion of chromatin. We found that different protocols capture distinct 3D genome features with different efficiencies depending on the cell type (Chapter 2). Use of the updated Hi-C protocol with new parameters, which we call Hi-C 3.0, was subsequently evaluated and found to provide the best loop detection compared to all previous Hi-C protocols as well as better compartment quantification compared to Micro-C (Chapter 3). Finally, to understand how the aforementioned technologies (Hi-C, Micro-C, PLAC-Seq, ChIA-PET, SPRITE, GAM) that measure 3D organization could provide a comprehensive understanding of the genome structure, we have performed a comparison of these technologies. We found that each of these methods captures different aspects of the chromatin folding (Chapter 4). Collectively, these studies suggest that improving the 3D methodologies and integrative analyses of these methods will reveal unprecedented details of the genome structure and function.

This master's work was focused on the assessment of sexual dimorphism of external and internal morphology of frontal bone. Sexual diagnosis based on external surface of frontal bones and volume and surface of frontal sinuses was carried out using geometric morphometrics methods. Our approach used anonimized CT scans of 103 skulls from recent Czech population, from which 3D models of frontal bones and frontal sinuses were created. At first the analysis was aimed at studying form and shape of external surface of frontal bone. Our methodology is based on the work of Musilová et al. (2016) that estimates sex using exocranial surface of the entire skull. We analyzed variability and tested differences in males and females frontal bones. The main target of this work was sex classification. The highest success rate acquired 86,41 % with the first 20 main components of form. The following part of this study was focused on sex estimation using the methodology developed by Bulut et al. (2016), which was applied in Turkish population. This method classified Czech males and females with accuracy 70,87 %. In order to complete sex determination based on the frontal bone we also used classification of the radius of the frontal bone curvature with success rate of 77,66 %. The attention was also paid to studying...