Results 51 to 60 of about 39,833,464 (257)
Hi-C read-pair classifications.
, 2021 A reference-based classification scheme for read-pairs generated by the Hi-C protocol has previously been devised [11, 13]. Regardless of orientation, read-pairs are considered valid if two or more intervening enzymatic cut-site exist between them ...
Matthew Z. DeMaere (6404834) +1 more
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Inferential Structure Determination of Chromosomes from Single-Cell Hi-C Data. [PDF]
PLoS Computational Biology, 2016 Chromosome conformation capture (3C) techniques have revealed many fascinating insights into the spatial organization of genomes. 3C methods typically provide information about chromosomal contacts in a large population of cells, which makes it difficult
Simeon Carstens +2 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
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Hi-C analysis: from data generation to integration [PDF]
Biophysical 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
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Computational tools for Hi‐C data analysis
Quantitative 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
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Revisiting Assessment of Computational Methods for Hi-C Data Analysis. [PDF]
Int 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
PLoS 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
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Computational 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
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THUNDER: A reference-free deconvolution method to infer cell type proportions from bulk Hi-C data.
PLoS 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
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Computational 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
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