Results 21 to 30 of about 41,584,039 (265)
Methods for comparative ChIA-PET and Hi-C data analysis. [PDF]
Methods, 2020 The three-dimensional architecture of chromatin in the nucleus is important for genome regulation and function. Advanced high-throughput sequencing-based methods have been developed for capturing chromatin interactions (Hi-C, genome-wide chromosome ...
Tang, Zhonghui +2 more
core +4 more sources
Polymer Folding Simulations from Hi-C Data
, 2021 In the absence of a clear molecular understanding of the mechanism that stabilizes specific contacts in interphasic chromatin, we resort to the principle of maximum entropy to build a polymeric model based on the Hi-C data of the specific system one ...
Guido Tiana +5 more
core +3 more sources
MHiC, an integrated user-friendly tool for the identification and visualization of significant interactions in Hi-C data [PDF]
BMC Genomics, 2020 Background Hi-C is a molecular biology technique to understand the genome spatial structure. However, data obtained from Hi-C experiments is biased. Therefore, several methods have been developed to model Hi-C data and identify significant interactions ...
Saman Khakmardan +4 more
doaj +2 more sources
Algorithmic considerations when analysing capture Hi-C data [version 2; peer review: 2 approved] [PDF]
Wellcome Open Research, 2022 Chromosome conformation capture methodologies have provided insight into the effect of 3D genomic architecture on gene regulation. Capture Hi-C (CHi-C) is a recent extension of Hi-C that improves the effective resolution of chromatin interactions by ...
Linden Disney-Hogg +2 more
doaj +2 more sources
Fine mapping chromatin contacts in capture Hi-C data [PDF]
BMC Genomics, 2019 Background Hi-C and capture Hi-C (CHi-C) are used to map physical contacts between chromatin regions in cell nuclei using high-throughput sequencing.
Christiaan Q Eijsbouts +3 more
doaj +3 more sources
Single‐Cell Hi‐C Technologies and Computational Data Analysis
Advanced ScienceSingle‐cell chromatin conformation capture (scHi‐C) techniques have evolved to provide significant insights into the structural organization and regulatory mechanisms in individual cells.
Madison A Dautle, Yong Chen
doaj +3 more sources
HiCUP: pipeline for mapping and processing Hi-C data [version 1; referees: 2 approved, 1 approved with reservations] [PDF]
F1000Research, 2015 HiCUP is a pipeline for processing sequence data generated by Hi-C and Capture Hi-C (CHi-C) experiments, which are techniques used to investigate three-dimensional genomic organisation.
Steven Wingett +6 more
doaj +3 more sources
Significance in scale space for Hi-C data. [PDF]
BioinformaticsAbstract Motivation Hi-C technology has been developed to profile genome-wide chromosome conformation. So far Hi-C data have been generated from a large compendium of different cell types and different tissue types. Among different chromatin conformation units, chromatin loops were found to play a key
Liu R, Zhang Z, Won H, Marron JS.
europepmc +4 more sources
Puzzle Hi-C: An accurate scaffolding software.
PLoS ONEHigh-quality, chromosome-scale genomes are essential for genomic analyses. Analyses, including 3D genomics, epigenetics, and comparative genomics rely on a high-quality genome assembly, which is often accomplished with the assistance of Hi-C data ...
Guoliang Lin +12 more
doaj +2 more sources
A Multigraph-Based Representation of Hi-C Data
Genes, 2022 Chromatin–chromatin interactions and three-dimensional (3D) spatial structures are involved in transcriptional regulation and have a decisive role in DNA replication and repair. To understand how individual genes and their regulatory elements function within the larger genomic context, and how the genome reacts to environmental stimuli, the linear ...
Diána Makai +3 more
openaire +3 more sources