Comparison of Hi-C Experiments using Structural Similarity.
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Updated
Jul 18, 2023 - Python
Comparison of Hi-C Experiments using Structural Similarity.
Repository associated to the scientific publication: Low input capture Hi-C (liCHi-C) identifies promoter-enhancer interactions at high-resolution
HiCBricks offers user-friendly and efficient solutions for handling large high-resolution Hi-C datasets. The package provides a R/Bioconductor framework with the bricks to build more complex data analysis pipelines and algorithms.
Identification of dynamic changes in chromatin conformation is a fundamental task in genetics. In 2020, Galan et al. presented CHESS (Comparison of Hi-C Experiments using Structural Similarity), a novel computational algorithm designed for systematic identification of structural differences in chromatin-contact maps. Using CHESS, the same group …
The code from the paper "Benchmark of software tools for prokaryotic chromosomal interaction domain identification"
RB loss modulates chromatin organization by regulating cohesin-dependent loops and enhancer-promoter interactions
Repository associated to the scientific publication: Three-Dimensional Epigenome Roadmap of Human B-cell Differentiation Uncovers Mechanisms of Humoral Immunity and Oncogenesis
WIP. This project aims to quantify the information in genome architecture data. An extensive chromatin toymodel is used for internal method development
a tool for the analysis of multiplexed FISH (Fluorescence In Situ Hybridization) data
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