Results 51 to 60 of about 41,584,039 (265)

Genome 3D structure in pig fetal muscle from Hi-C assays of Chromatin Conformation Capture

open access: yes, 2021
Comparative analysis of the genome 3D structure during late development in pig between 90 days and 110 days of gestation using Hi-C experiments of High-throughput Chromatin Conformation Capture. Data are Hi-C count matrices at 200kb resolution (bin size).
Vialaneix, Nathalie, Foissac, Sylvain
core   +1 more source

HCMB: A stable and efficient algorithm for processing the normalization of highly sparse Hi-C contact data

open access: yesComputational and Structural Biotechnology Journal, 2021
The high-throughput genome-wide chromosome conformation capture (Hi-C) method has recently become an important tool to study chromosomal interactions where one can extract meaningful biological information including P(s) curve, topologically associated ...
Honglong Wu   +5 more
doaj   +1 more source

Hi-C_E8.5_mouse_hearts_WT-DKO

open access: yes, 2023
Hi-C with WT and U1U2-DKO E8.5 mouse hearts was performed. The NGS data are used for paper publication. The resourse is shared here for more researches.
Chen Li (14812087)
core   +1 more source

Hi-C analysis: from data generation to integration [PDF]

open access: yesBiophysical Reviews, 2018
In the epigenetics field, large-scale functional genomics datasets of ever-increasing size and complexity have been produced using experimental techniques based on high-throughput sequencing. In particular, the study of the 3D organization of chromatin has raised increasing interest, thanks to the development of advanced experimental techniques.
Pal, Koustav   +2 more
openaire   +3 more sources

Hi-C interaction map on GM12878 HiC data.

open access: yes, 2022
Heatmap showing the raw read count of interactions at 5k bins of chr21 (36000kb to 39500kb) (same region as S10 Fig in the cLoops paper [43] on the GM12878 Hi-C dataset in Rao et al. [5]. The heatmap is colored based on the log of read count. Significant
Hamid Alinejad-Rokny (518381)   +6 more
core   +1 more source

Computational tools for Hi‐C data analysis

open access: yesQuantitative Biology, 2017
BackgroundIn eukaryotic genome, chromatin is not randomly distributed in cell nuclei, but instead is organized into higher‐order structures. Emerging evidence indicates that these higher‐order chromatin structures play important roles in regulating genome functions such as transcription and DNA replication.
Zhijun Han, Gang Wei
openaire   +1 more source

Scool: a new data storage format for single-cell Hi-C data

open access: yes, 2020
MotivationSingle-cell Hi-C research currently lacks an efficient, easy to use and shareable data storage format. Recent studies have used a variety of sub-optimal solutions: publishing raw data only, text-based interaction matrices, or reusing ...
Grüning, Björn   +7 more
core   +1 more source

MaxHiC: A robust background correction model to identify biologically relevant chromatin interactions in Hi-C and capture Hi-C experiments.

open access: yesPLoS Computational Biology, 2022
Hi-C is a genome-wide chromosome conformation capture technology that detects interactions between pairs of genomic regions and exploits higher order chromatin structures.
Hamid Alinejad-Rokny   +6 more
doaj   +1 more source

Enrichment analysis of TOP2A2B_bothcontrol_30 Hi-C data by g:Profiler.

open access: yes, 2023
Enrichment analysis of TOP2A2B_bothcontrol_30 Hi-C data by g:Profiler.
Ryo Ishibashi (288701)
core   +1 more source

THUNDER: A reference-free deconvolution method to infer cell type proportions from bulk Hi-C data.

open access: yesPLoS Genetics, 2022
Hi-C data provide population averaged estimates of three-dimensional chromatin contacts across cell types and states in bulk samples. Effective analysis of Hi-C data entails controlling for the potential confounding factor of differential cell type ...
Bryce Rowland   +9 more
doaj   +1 more source

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