Results 11 to 20 of about 215,700 (227)
Comparison of normalization methods for Hi-C data [PDF]
BioTechniques, 2020 Hi-C has been predominately used to study the genome-wide interactions of genomes. In Hi-C experiments, it is believed that biases originating from different systematic deviations lead to extraneous variability among raw samples, and affect the ...
Hongqiang Lyu, Erhu Liu, Zhifang Wu
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BEKVAEM: INTEGRATIVE DATA EXPLORER FOR HI-C DATA
Journal of Bioinformatics and Genomics, 2019 Motivation: The browser-based visualization of Hi-C contact maps alongside complementary data tracks is a computationally challenging task and requires an efficient software implementation to run on small clients.
Андреас Хофманн +3 more
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Measuring the reproducibility and quality of Hi-C data
Genome Biology, 2019 Background 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.
Galip Gürkan Yardımcı +18 more
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Inferring chromosome radial organization from Hi-C data [PDF]
BMC Bioinformatics, 2020 Background The nonrandom radial organization of eukaryotic chromosome territories (CTs) inside the nucleus plays an important role in nuclear functional compartmentalization. Increasingly, chromosome conformation capture (Hi-C) based approaches are being
Priyojit Das +2 more
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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
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HiCeekR: A Novel Shiny App for Hi-C Data Analysis [PDF]
Frontiers in Genetics, 2019 The High-throughput Chromosome Conformation Capture (Hi-C) technique combines the power of the Next Generation Sequencing technologies with chromosome conformation capture approach to study the 3D chromatin organization at the genome-wide scale. Although
Lucio Di Filippo +5 more
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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
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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
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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.
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A Multigraph-Based Representation of Hi-C Data. [PDF]
Genes (Basel), 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 ...
Makai D, Cseh A, Sepsi A, Makai S.
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