Results 241 to 250 of about 39,833,464 (257)

Insights from Hi-C data regarding the Pacific salmon louse (Lepeophtheirus salmonis) sex chromosomes. [PDF]

G3 (Bethesda)
Flores AM, Christensen KA, Siah A, Koop BF.   +3 more
europepmc   +1 more source

scHiClassifier: a deep learning framework for cell type prediction by fusing multiple feature sets from single-cell Hi-C data. [PDF]

Brief Bioinform
Zhou X, Wu H.
europepmc   +1 more source

Identifying TAD-like domains on single-cell Hi-C data by graph embedding and changepoint detection. [PDF]

Bioinformatics
Liu E, Lyu H, Liu Y, Fu L, Cheng X, Yin X.   +5 more
europepmc   +1 more source

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Hi-C Data Formats

2021
Processing, storing, and visualizing high-resolution Hi-C data required development of efficient data formats. A sparse matrix format saving only nonzero values has become the norm. A "zoomable" matrix style also became popular, storing multiple resolutions in a single file for interactive visualization.
openaire   +2 more sources

Methods to Assess the Reproducibility and Similarity of Hi-C Data

2021
Hi-C experiments are costly to perform and involve multiple complex experimental steps. Reproducibility of Hi-C data is essential for ensuring the validity of the scientific conclusions drawn from the data. In this chapter, we describe several recently developed computational methods for assessing reproducibility of Hi-C replicate experiments.
Tao, Yang, Xi, He, Lin, An, Qunhua, Li
openaire   +2 more sources

Processing and Analysis of Hi-C Data on Bacteria

2018
The study of three-dimensional genome organization has recently gained much attention in the context of novel techniques for detecting genome-wide contacts using next-generation sequencing. These genome-wide chromosome conformation capture-based methods, such as Hi-C, give a deep topological insight into the architecture of the genome inside the cell ...
Andreas, Hofmann, Dieter W, Heermann
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Methods for the Differential Analysis of Hi-C Data

2021
The 3D organization of chromatin within the nucleus enables dynamic regulation and cell type-specific transcription of the genome. This is true at multiple levels of resolution: on a large scale, with chromosomes occupying distinct volumes (chromosome territories); at the level of individual chromatin fibers, which are organized into compartmentalized ...
openaire   +2 more sources

3D Genome Reconstruction with ShRec3D+ and Hi-C Data

IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2018
Hi-C technology, a chromosome conformation capture (3C) based method, has been developed to capture genome-wide interactions at a given resolution. The next challenge is to reconstruct 3D structure of genome from the 3C-derived data computationally.
Jiangeng Li, Wei Zhang, Xiaodan Li
openaire   +3 more sources

The Hi-C sequencing data of sweetpotato

2023
The Hi-C sequencing data of ...
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Analysis of Hi-C Data for Discovery of Structural Variations in Cancer

2021
Structural variations (SVs) are large genomic rearrangements that can be challenging to identify with current short read sequencing technology due to various confounding factors such as existence of genomic repeats and complex SV structures. Hi-C breakfinder is the first computational tool that utilizes the technology of high-throughput chromatin ...
Fan, Song, Jie, Xu, Jesse, Dixon, Feng, Yue   +3 more
openaire   +2 more sources