[HTML][HTML] GILoop: robust chromatin loop calling across multiple sequencing depths on Hi-C data
Graph and image are two common representations of Hi-C cis-contact maps. Existing
computational tools have only adopted Hi-C data modeled as unitary data structures but …
computational tools have only adopted Hi-C data modeled as unitary data structures but …
[HTML][HTML] A supervised learning framework for chromatin loop detection in genome-wide contact maps
Accurately predicting chromatin loops from genome-wide interaction matrices such as Hi-C
data is critical to deepening our understanding of proper gene regulation. Current …
data is critical to deepening our understanding of proper gene regulation. Current …
[HTML][HTML] DLoopCaller: A deep learning approach for predicting genome-wide chromatin loops by integrating accessible chromatin landscapes
In recent years, major advances have been made in various chromosome conformation
capture technologies to further satisfy the needs of researchers for high-quality, high …
capture technologies to further satisfy the needs of researchers for high-quality, high …
CD-Loop: a chromatin loop detection method based on the diffusion model
J Shen, Y Wang, J Luo - Frontiers in Genetics, 2024 - frontiersin.org
Motivation In recent years, there have been significant advances in various chromatin
conformation capture techniques, and annotating the topological structure from Hi-C contact …
conformation capture techniques, and annotating the topological structure from Hi-C contact …
A Lightweight Framework For Chromatin Loop Detection at the Single‐Cell Level
Abstract Single‐cell Hi‐C (scHi‐C) has made it possible to analyze chromatin organization
at the single‐cell level. However, scHi‐C experiments generate inherently sparse data …
at the single‐cell level. However, scHi‐C experiments generate inherently sparse data …
[HTML][HTML] DeepHiC: A generative adversarial network for enhancing Hi-C data resolution
H Hong, S Jiang, H Li, G Du, Y Sun, H Tao… - PLoS computational …, 2020 - journals.plos.org
Hi-C is commonly used to study three-dimensional genome organization. However, due to
the high sequencing cost and technical constraints, the resolution of most Hi-C datasets is …
the high sequencing cost and technical constraints, the resolution of most Hi-C datasets is …
HiCARN: resolution enhancement of Hi-C data using cascading residual networks
P Hicks, O Oluwadare - Bioinformatics, 2022 - academic.oup.com
Motivation High throughput chromosome conformation capture (Hi-C) contact matrices are
used to predict 3D chromatin structures in eukaryotic cells. High-resolution Hi-C data are …
used to predict 3D chromatin structures in eukaryotic cells. High-resolution Hi-C data are …
[HTML][HTML] Mustache: multi-scale detection of chromatin loops from Hi-C and Micro-C maps using scale-space representation
We present Mustache, a new method for multi-scale detection of chromatin loops from Hi-C
and Micro-C contact maps. Mustache employs scale-space theory, a technical advance in …
and Micro-C contact maps. Mustache employs scale-space theory, a technical advance in …
HiCBridge: Resolution enhancement of hi-c data using direct diffusion bridge
J Kim, JC Ye - 2024 - openreview.net
Hi-C analysis provides valuable insights into the spatial organization of chromatin, which
affects many aspects of genomic processes. However, the usefulness of Hi-C is hindered by …
affects many aspects of genomic processes. However, the usefulness of Hi-C is hindered by …
Nucleotide sequence and DNaseI sensitivity are predictive of 3D chromatin architecture
Recently, Hi-C has been used to probe the 3D chromatin architecture of multiple organisms
and cell types. The resulting collections of pairwise contacts across the genome have …
and cell types. The resulting collections of pairwise contacts across the genome have …