Results 31 to 40 of about 20,056,738 (185)

GrapHi-C: graph-based visualization of Hi-C datasets

open access: yesBMC Research Notes, 2018
Objectives Hi-C is a proximity-based ligation reaction used to detect regions of the genome that are close in 3D space (or “interacting”). Typically, results from Hi-C experiments (contact maps) are visualized as heatmaps or Circos plots.
Kimberly MacKay   +2 more
doaj   +1 more source

SRHiC: A Deep Learning Model to Enhance the Resolution of Hi-C Data

open access: yesFrontiers in Genetics, 2020
Hi-C data is important for studying chromatin three-dimensional structure. However, the resolution of most existing Hi-C data is generally coarse due to sequencing cost.
Zhilan Li, Zhiming Dai, Zhiming Dai
doaj   +1 more source

Hi-C as a new technique for detecting large-scale SVs.

open access: yes, 2023
(A) The expected alteration to chromatin interaction frequencies for different types of SVs. (B) The Hi-C map is shown a validated deletion event in K562 cell line.
Junping Li (614144)   +2 more
core   +1 more source

Additional file 3 of Characterizing chromatin interactions of regulatory elements and nucleosome positions, using Hi-C, Micro-C, and promoter capture Micro-C

open access: yes, 2022
Additional file 3: Table S2. Topologically Associating Domains (TADs) identified from this study. (A) TAD statistics of Hi-C, Micro-C, and promoter capture Micro-C data.
Zexun Wu (15169523)   +2 more
core   +1 more source

Influence of human peripheral blood samples preprocessing on the quality of Hi-C libraries

open access: yesВавиловский журнал генетики и селекции, 2023
The genome-wide variant of the chromatin conformation capture technique (Hi-C) is a powerful tool for revealing patterns of genome spatial organization, as well as for understanding the effects of their disturbance on disease development. In addition, Hi-
M. M. Gridina   +8 more
doaj   +1 more source

Revisiting the use of structural similarity index in Hi-C [PDF]

open access: yesNature Genetics, 2021
Abstract Identification of dynamic changes in chromatin conformation is a fundamental task in genetics. In 2020, Galan et al. 1 presented CHESS (Comparison of Hi-C Experiments using Structural Similarity), a novel computational algorithm designed for systematic identification of ...
Hanjun Lee   +3 more
openaire   +2 more sources

Metagenomic chromosome conformation capture (meta3C) unveils the diversity of chromosome organization in microorganisms

open access: yeseLife, 2014
Genomic analyses of microbial populations in their natural environment remain limited by the difficulty to assemble full genomes of individual species.
Martial Marbouty   +5 more
doaj   +1 more source

Modeling the 3D genome of plants

open access: yesNucleus, 2021
Chromosomes are the carriers of inheritable traits and define cell function and development. This is not only based on the linear DNA sequence of chromosomes but also on the additional molecular information they are associated with, including the ...
Marco Di Stefano, Hans-Wilhelm Nützmann
doaj   +1 more source

Hi-C 2.0: An optimized Hi-C procedure for high-resolution genome-wide mapping of chromosome conformation [PDF]

open access: yesMethods, 2016
ABSTRACT Chromosome conformation capture-based methods such as Hi-C have become mainstream techniques for the study of the 3D organization of genomes. These methods convert chromatin interactions reflecting topological chromatin structures into digital information (counts of pair-wise interactions). Here, we describe an updated protocol
Houda Belaghzal   +2 more
openaire   +3 more sources

Hi-PACE/hipace: v23.07

open access: yes, 2023
Dependencies AMReX: release 23.07 openPMD-api: release 0.15.1 What's Changed Replace rho field with rho - jz/c by @AlexanderSinn in https://github.com/Hi-PACE/hipace/pull/940 CI: apt retry and new Easyinstall link by @AlexanderSinn in https://github.com/
Lehe, Remi   +6 more
core   +1 more source

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