The three-dimensional chromatin structure is intricate, dynamic, and essential principles for gene regulation. Chromosomal conformation capture approaches and high-edge microscopic imaging techniques following with bioinformatics data processing, analysis methods, databases and visualization, especially machine learning prediction methods have unveiled the mechanism of interconnection between genome organization and nuclear architecture. The structure transitions of 3D chromatin can vary in different stages of cell development and differentiation, which related to dysregulation in disease. This special issue aims to establish a platform for quantitative researchers who are interested in unsolved questions in the 3D genome field through developing new biotechnology or bioinformatics methods, especially machine learning methods, which help further understand the roles of 3D genome organization principles in gene regulation, cell fate and cell function in physiology and disease.

We are excited to announce that Invited Editors for Quantitative Biology have been set up on May, 2021. They will take responsibilities for some work of the journal including Identifying new topics for special issues, promoting the journal to their colleagues and peers, and speeding up the review process, etc. All members are listed below.