A. Rychlý

With the onset of digital technologies, conveying information to the young generation is becoming evermore challenging, forcing us to explore alternative methods, such as using video games. A typical area that could benefit from innovation is geography, where we want to convey the relationship between selected geographical locations and related phenomena, such as flooding, global warming, criminality, or service availability. Appropriate visualization and interaction in an engaging environment can significantly increase the chance of this information being embraced. To address this, we present T erra T inker , an open‐source tool that transforms geospatial data into visualizations within the Minecraft video game. The interface of the tool enables users without extensive programming skills to adjust the visual appearance of the generated map according to their needs. The tool was tested and evaluated by visualization and geography experts, who gave us valuable feedback and confirmed the benefits and contributions of T erra T inker .

The spatial organization of chromatin fiber directly influences its function. However, the high visual complexity of chromatin spatial models makes the understanding of the structure extremely challenging. Therefore, genomic researchers still primarily rely on indirect analysis of chromatin through 2D views, missing the advantages that 3D visualization can offer. In this paper, we first analyze the task space of genomic research and identify biological domain tasks that can benefit from dedicated spatial representations. We organize these tasks into four categories: tasks related to structural features, additional meta‐data, structural relationships, and comparative tasks. We analyze these tasks in terms of their complexity, co‐dependence, and potential benefits of 3D‐based solutions. Secondly, we present four newly designed visual representations of chromatin 3D structure, focused on enhancing the understanding of structural features and solving relationships tasks. These include the hierarchical nature of spatial chromatin sub‐units, their visual abstractions, spatial interactions, and a cumulative representation of chromatin dynamic behavior. We also include feedback from four domain researchers and discuss future steps necessary to make spatial representations valid and valuable part of genomic research.