Results 21 to 30 of about 39,833,464 (257)
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
Computational analysis of hi-c data
, 2021 The chromatin organization in the 3D nuclear space is essential for genome functionality. This spatial organization encompasses different topologies at diverse scale lengths with chromosomes occupying distinct volumes and individual chromosomes folding ...
Forcato M., Bicciato S.
core +4 more sources
Measuring the reproducibility and quality of Hi-C data
Genome Biology, 2017 Hi-C is currently the most widely used assay to investigate the 3D organization of the genome and to study its role in gene regulation, DNA replication, and disease.
Qunhua Li +18 more
core +5 more sources
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
HiC4D: forecasting spatiotemporal Hi-C data with residual ConvLSTM. [PDF]
Brief Bioinform, 2023 The Hi-C experiments have been extensively used for the studies of genomic structures. In the last few years, spatiotemporal Hi-C has largely contributed to the investigation of genome dynamic reorganization.
Liu T, Wang Z.
europepmc +4 more sources
Comparison of computational methods for Hi-C data analysis [PDF]
Nature Methods, 2017 Hi-C is a genome-wide sequencing technique used to investigate 3D chromatin conformation inside the nucleus. Computational methods are required to analyze Hi-C data and identify chromatin interactions and topologically associating domains (TADs) from ...
Livi, Carmen Maria +11 more
core +7 more sources
Unsupervised embedding of single-cell Hi-C data [PDF]
Bioinformatics, 2018 Single-cell Hi-C (scHi-C) data promises to enable scientists to interrogate the 3D architecture of DNA in the nucleus of the cell, studying how this structure varies stochastically or along developmental or cell cycle axes.
Galip Gürkan Yardımcı +3 more
core +4 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