Chromatin Structure and Dynamics: Recent Advancements
Recent advancements in the study of chromatin structure and dynamics have been nothing short of revolutionary, both in computational methodologies and experimental techniques. On the computational front, integrating machine learning and sophisticated algorithms has propelled our ability to model chromatin organization with unprecedented accuracy, unveiling intricate three-dimensional folding patterns and their functional implications. Experimentally, breakthroughs in high-resolution imaging techniques, such as super-resolution microscopy and Hi-C, have offered unparalleled glimpses into the spatial organization of chromatin at a finer scale. Collectively, these strides are reshaping our understanding of chromatin folding, paving the way for groundbreaking discoveries in genomics and cellular biology.
Guest Editors: Bin Zhang and Tamar Schlick, with JCP Editor John Straub.
