[HTML][HTML] GILoop: robust chromatin loop calling across multiple sequencing depths on Hi-C data

F Wang, T Gao, J Lin, Z Zheng, L Huang, M Toseef, X Li… - Iscience, 2022 - cell.com
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 …

[HTML][HTML] A supervised learning framework for chromatin loop detection in genome-wide contact maps

TJ Salameh, X Wang, F Song, B Zhang… - Nature …, 2020 - nature.com
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 …

[HTML][HTML] DLoopCaller: A deep learning approach for predicting genome-wide chromatin loops by integrating accessible chromatin landscapes

S Wang, Q Zhang, Y He, Z Cui, Z Guo… - PLoS Computational …, 2022 - journals.plos.org
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 …

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 …

A Lightweight Framework For Chromatin Loop Detection at the Single‐Cell Level

F Wang, H Alinejad‐Rokny, J Lin, T Gao… - Advanced …, 2023 - Wiley Online Library
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 …

[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 …

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 …

[HTML][HTML] Mustache: multi-scale detection of chromatin loops from Hi-C and Micro-C maps using scale-space representation

A Roayaei Ardakany, HT Gezer, S Lonardi, F Ay - Genome biology, 2020 - Springer
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 …

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 …

Nucleotide sequence and DNaseI sensitivity are predictive of 3D chromatin architecture

J Schreiber, M Libbrecht, J Bilmes, WS Noble - BioRxiv, 2017 - biorxiv.org
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 …