Results 61 to 70 of about 41,584,039 (265)
Enrichment analysis of BT549 Hi-C data by g:Profiler.
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
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
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]
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.
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.
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
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
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
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

