Results 61 to 70 of about 20,056,738 (185)
Single‐Cell Hi‐C Technologies and Computational Data Analysis
Single‐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 +1 more source
Learning Micro-C from Hi-C with diffusion models.
In the last few years, Micro-C has shown itself as an improved alternative to Hi-C. It replaced the restriction enzymes in Hi-C assays with micrococcal nuclease (MNase), resulting in capturing nucleosome resolution chromatin interactions.
Tong Liu, Hao Zhu, Zheng Wang
doaj +1 more source
Detecting community structures in Hi-C genomic data [PDF]
Community detection (CD) algorithms are applied to Hi-C data to discover new communities of loci in the 3D conformation of human and mouse DNA. We find that CD has some distinct advantages over pre-existing methods: (1) it is capable of finding a variable number of communities, (2) it can detect communities of DNA loci either adjacent or distant in the
Irineo Cabreros +2 more
openaire +2 more sources
Dependencies AMReX: release 23.05 openPMD-api: release 0.15.1 What's Changed CI: macOS Only One by @ax3l in https://github.com/Hi-PACE/hipace/pull/881 On dev branch, we build on top of amrex dev branch by @MaxThevenet in https://github.com/Hi-PACE ...
Lehe, Remi +6 more
core +1 more source
Stabilization by fusion to the C-terminus of hyperthermophile Sulfolobus tokodaii RNase HI: a possibility of protein stabilization tag. [PDF]
RNase HI from the hyperthermophile Sulfolobus tokodaii (Sto-RNase HI) is stabilized by its C-terminal residues. In this work, the stabilization effect of the Sto-RNase HI C-terminal residues was investigated in detail by thermodynamic measurements of the
Kazufumi Takano +6 more
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NeoHiC: A Web Application for the Analysis of Hi-C Data [PDF]
High-throughput sequencing Chromosome Conformation Capture (Hi-C) allows the study of chromatin interactions and 3D chromosome folding on a larger scale. A graph-based multi-level representation of Hi-C data is essential for proper visualisation of the spatial pattern they represent, in particular for comparing different experiments or for re-mapping ...
D'Agostino D +3 more
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Background The four most commonly-mutated genes in clear cell renal cell carcinoma (ccRCC) tumors are BAP1, PBRM1, SETD2 and VHL. And, there are currently 14 known RCC germline variants that have been reproducibly shown to be associated with RCC risk ...
Jeanette E. Eckel-Passow +9 more
doaj +1 more source
On the relation of phase separation and Hi-C maps to epigenetics [PDF]
Abstract The relationship between compartmentalisation of the genome and epigenetics is long and hoary. In 1928 Heitz defined heterochromatin as the largest differentiated chromatin compartment in eukaryotic nuclei. Müller’s (1930) discovery of position-effect variegation (PEV) went on to show that heterochromatin is ...
Singh, Prim B., Newman, Andrew G.
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Hi-C library statistics for different datasets used in this paper.
Mapped read pairs denote the total number of Hi-C read pairs aligned before mapping quality filtering. Intra-contig read pairs account for the read pairs where both the reads align to same contig and inter-contig read pairs account for the read pairs ...
Arang Rhie (7296419) +7 more
core +1 more source
Integrative characterization of G-Quadruplexes in the three-dimensional chromatin structure
DNA molecules are highly compacted in the eukaryotic nucleus where distal regulatory elements reach their targets through three-dimensional chromosomal interactions.
Yue Hou +6 more
doaj +1 more source

