Results 21 to 30 of about 2,360,372 (228)
Comparison of Normalization Methods for Hi-C Data [PDF]
BioTechniques, 2019 Hi-C has been predominately used to study the genome-wide interactions of genomes. In Hi-C experiments, it is believed that biases originating from different systematic deviations lead to extraneous variability among raw samples, and affect the reliability of downstream interpretations.
Hongqiang Lyu, Erhu Liu, Zhifang Wu
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Motif-Hi-C: A motif-based framework for rapid quality control of Hi-C data. [PDF]
aBIOTECHKong D +7 more
europepmc +2 more sources
Software tools for visualizing Hi-C data [PDF]
Genome Biology, 2016 Abstract Recently developed, high-throughput assays for measuring the three-dimensional configuration of DNA in the nucleus have provided unprecedented insights into the relationship between DNA 3D configuration and function. However, accurate interpretation of data from assays such as ChIA-PET and Hi-C is challenging because the data ...
Galip Gürkan Yardımcı +1 more
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VEHiCLE: a Variationally Encoded Hi-C Loss Enhancement algorithm for improving and generating Hi-C data [PDF]
Scientific Reports, 2021 Abstract Chromatin conformation plays an important role in a variety of genomic processes. Hi-C is one of the most popular assays for inspecting chromatin conformation. However, the utility of Hi-C contact maps is bottlenecked by resolution.
Max Highsmith, Jianlin Cheng
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Detecting community structures in Hi-C genomic data [PDF]
2016 Annual Conference on Information Science and Systems (CISS), 2016 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
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covNorm: An R package for coverage based normalization of Hi-C and capture Hi-C data
Computational and Structural Biotechnology Journal, 2021 Hi-C and capture Hi-C have greatly advanced our understanding of the principles of higher-order chromatin structure. In line with the evolution of the Hi-C protocols, there is a demand for an advanced computational method that can be applied to the various forms of Hi-C protocols and effectively remove innate biases. To resolve this issue, we developed
Kyukwang Kim, Inkyung Jung
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NeoHiC: A Web Application for the Analysis of Hi-C Data [PDF]
, 2020 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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Computational Processing and Quality Control of Hi-C, Capture Hi-C and Capture-C Data [PDF]
Genes, 2019 Hi-C, capture Hi-C (CHC) and Capture-C have contributed greatly to our present understanding of the three-dimensional organization of genomes in the context of transcriptional regulation by characterizing the roles of topological associated domains, enhancer promoter loops and other three-dimensional genomic interactions.
Peter Hansen +6 more
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Genome 3D structure in pig fetal muscle from Hi-C assays of Chromatin Conformation Capture
, 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
Data for the HAdV55 RNA-seq and Hi-C
, 2023 Analysis data for the RNA-seq and Hi-C about adenovirus and A549 cells ...
Kaiying Wang (14583608)
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