Abstract
Given the complexity of modern biological data it is essentially crucial to accord a consistent expounding. Interpreting such data into complex networks and visualizing them can reveal understanding of various processes in a cell. A consequence mapping of signal transduction processes to the spatial genome structure can benefit new insights in interaction detection in the spatial arrangement of genes. We present an approach for multiscale dynamic visualization of signal transduction processes with detailing of target-genes activation in spatial genome structure. The usage of this approach is demonstrated for the WNT signaling pathway in a human cell. We conclude with suggesting future research questions to improve our approach by considering new available data.
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