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Analysis of Hi-C Data for Discovery of Structural Variations in Cancer
2021Structural 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 +3 more
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Leveraging Hi-C Data to Detect Chromosomal Reorganizations
The three-dimensional (3D) organization of genomes refers to the spatial organization and folding of chromatin within the nucleus of cells. Over the years, the initial development and subsequent applications of chromosome capture techniques (3C) and their derivatives have permitted the study of the 3D genome organization at the deepest level of ...Lucía, Álvarez-González +1 more
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Deciphering 3D Organization of Chromosomes Using Hi-C Data
2018In order to interpret data from Hi-C studies genome-wide contact probability maps need to be translated into models of functional 3D genome organization. Here, we first present an overview of computational methods to analyze contact probability maps in terms of features such as the level and shape of compartmentalization.
Hofmann, A, Heermann, DW
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Hi-C sequencing data from cortex of laboratory rats
Abstract The three-dimensional conformation and packaging of chromosomes modulates the spatial organization of the nucleus, orchestrating DNA replication and repair, maintaining genome stability and integrity, and regulating gene expression. Hi-C methods provide high-resolution data on chromatin-to-chromatin interactions both within andPanjun Kim +4 more
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HiCTF:A Transformer Model for enhancing Hi-C data resolution
Proceedings of the 2023 10th International Conference on Biomedical and Bioinformatics Engineering, 2023Xuemin Zhao +2 more
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