Results 61 to 70 of about 41,584,039 (265)

Enrichment analysis of BT549 Hi-C data by g:Profiler.

open access: yes, 2023
Enrichment analysis of BT549 Hi-C data by g:Profiler.
Ryo Ishibashi (288701)
core   +1 more source

Effective normalization for copy number variation in Hi-C data

open access: yesBMC Bioinformatics, 2018
Background Normalization is essential to ensure accurate analysis and proper interpretation of sequencing data, and chromosome conformation capture data such as Hi-C have particular challenges. Although several methods have been proposed, the most widely
Nicolas Servant   +4 more
doaj   +1 more source

HiC-GNN: A generalizable model for 3D chromosome reconstruction using graph convolutional neural networks

open access: yesComputational and Structural Biotechnology Journal, 2023
Chromosome conformation capture (3 C) is a method of measuring chromosome topology in terms of loci interaction. The Hi-C method is a derivative of 3 C that allows for genome-wide quantification of chromosome interaction.
Van Hovenga   +2 more
doaj   +1 more source

Revisiting Assessment of Computational Methods for Hi-C Data Analysis. [PDF]

open access: yesInt J Mol Sci, 2023
The performances of algorithms for Hi-C data preprocessing, the identification of topologically associating domains, and the detection of chromatin interactions and promoter–enhancer interactions have been mostly evaluated using semi-quantitative or synthetic data approaches, without utilizing the most recent methods, since 2017.
Yang J, Zhu X, Wang R, Li M, Tang Q.
europepmc   +3 more sources

Enrichment analysis of Capan-1 Hi-C data by g:Profiler.

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

DeepHiC: A generative adversarial network for enhancing Hi-C data resolution.

open access: yesPLoS Computational Biology, 2020
Hi-C is commonly used to study three-dimensional genome organization. However, due to the high sequencing cost and technical constraints, the resolution of most Hi-C datasets is coarse, resulting in a loss of information and biological interpretability ...
Hao Hong   +14 more
doaj   +1 more source

Hi-C assembly result

open access: yes, 2019
Hi-C assembly ...
Lingqing Wu (5802524)
core   +1 more source

"Mirror reads" in Hi-C data

open access: yesGenomics and Computational Biology, 2017
The detailed analysis of chromatin structure has been enabled due to rapid development of chromosome conformation capture techniques. One of the most popular and widespread variations is high throughput conformation capture, or Hi-C, based on paired-end sequencing.
Aleksey Aleksandrovich Gavrilov   +4 more
openaire   +1 more source

HiGlass: web-based visual exploration and analysis of genome interaction maps

open access: yesGenome Biology, 2018
We present HiGlass, an open source visualization tool built on web technologies that provides a rich interface for rapid, multiplex, and multiscale navigation of 2D genomic maps alongside 1D genomic tracks, allowing users to combine various data types ...
Peter Kerpedjiev   +16 more
doaj   +1 more source

HPTAD: A computational method to identify topologically associating domains from HiChIP and PLAC-seq datasets

open access: yesComputational and Structural Biotechnology Journal, 2023
High-throughput chromatin conformation capture technologies, such as Hi-C and Micro-C, have enabled genome-wide view of chromatin spatial organization.
Jonathan Rosen   +6 more
doaj   +1 more source

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