Over the past decade, methods for predicting three-dimensional (3-D) chromosome and
genome structures have proliferated. This has been primarily due to the development of high …

In recent years, the use of integrative, information-driven computational approaches for
modeling the structure of biomolecules has been increasing in popularity. These are now …

Three-dimensional genome structures play a key role in gene regulation and cell functions.
Characterization of genome structures necessitates single-cell measurements. This has …

Several general principles of global 3D genome organization have recently been
established, including non-random positioning of chromosomes and genes in the cell …

Over the past decade, genome-wide assays for chromatin interactions in single cells have
enabled the study of individual nuclei at unprecedented resolution and throughput. Current …

High-resolution reconstruction of spatial chromosome organizations from chromatin contact
maps is highly demanded, but is hindered by extensive pairwise constraints, substantial …

The last two decades of work on chromosome conformation in eukaryotic nuclei have
revealed a complex and highly regulated hierarchy of architectural features, from self …

The new advances in various experimental techniques that provide complementary
information about the spatial conformations of chromosomes have inspired researchers to …

Decoding the spatial organizations of chromosomes has crucial implications for studying
eukaryotic gene regulation. Recently, chromosomal conformation capture based …

The problem of three-dimensional (3D) chromosome structure inference from Hi-C data sets
is important and challenging. While bulk Hi-C data sets contain contact information derived …