Hi-ChiP-ML

Hi-ChiP-ML is a machine learning-based software tool to analyze and characterize DNA folding patterns, mainly focusing on the structure and function of Topologically Associating Domains (TADs) identified through Hi-C experiments. TADs play a crucial role in gene expression regulation, and understanding their formation mechanisms is essential for insights into epigenetic regulation. Hi-ChiP-ML leverages the vast amount of data generated by recent technological advancements in epigenetics, including details on DNA binding proteins and the spatial organization of DNA, to provide a deeper understanding of TADs. By applying machine learning techniques to this complex data, Hi-ChiP-ML aims to elucidate the patterns and processes underlying the formation and function of TADs, contributing to our knowledge of chromosome structure and gene regulation.