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 …

Associations of chromatin with the nuclear lamina, at the nuclear periphery, help shape the
genome in 3 dimensions. The genomic landscape of lamina-associated domains (LADs) is …

Background Genome structures are dynamic and non-randomly organized in the nucleus of
higher eukaryotes. To maximize the accuracy and coverage of three-dimensional genome …

Motivation Recent experiments have provided Hi-C data at resolution as high as 1 kbp.
However, 3D structural inference from high-resolution Hi-C datasets is often computationally …

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

Chromosome conformation capture technologies such as Hi-C are widely used to
investigate the spatial organization of genomes. Because genome structures can vary …

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 …

Background The development of chromosomal conformation capture techniques,
particularly, the Hi-C technique, has made the analysis and study of the spatial conformation …

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 …