Recent research into structural variants (SVs) has established their importance to medicine
and molecular biology, elucidating their role in various diseases, regulation of gene …

Identifying structural variation (SV) is essential for genome interpretation but has been
historically difficult due to limitations inherent to available genome technologies. Detection …

The Hi-C technique has been shown to be a promising method to detect structural variations
(SVs) in human genomes. However, algorithms that can use Hi-C data for a full-range SV …

Persistent DNA double-strand breaks (DSBs) in neurons are an early pathological hallmark
of neurodegenerative diseases including Alzheimer's disease (AD), with the potential to …

Here, we introduce the 3D Genome Browser, http://3dgenome. org, which allows users to
conveniently explore both their own and over 300 publicly available chromatin interaction …

Recent efforts have shown that structural variations (SVs) can disrupt three-dimensional
genome organization and induce enhancer hijacking, yet no computational tools exist to …

Structural variants (SVs) can contribute to oncogenesis through a variety of mechanisms.
Despite their importance, the identification of SVs in cancer genomes remains challenging …

Fit-Hi-C is a programming application to compute statistical confidence estimates for Hi-C
contact maps to identify significant chromatin contacts. By fitting a monotonically non …

Genome-wide analysis methods, such as array comparative genomic hybridization (CGH)
and whole-genome sequencing (WGS), have greatly advanced the identification of structural …

The three-dimensional conformation of a genome can be profiled using Hi-C, a technique
that combines chromatin conformation capture with high-throughput sequencing. However …