Comparison of Hi-C Experiments using Structural Similarity.
-
Updated
Jul 18, 2023 - Python
Comparison of Hi-C Experiments using Structural Similarity.
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 represses cohesin-dependent loop formation and safeguards E2F-independent transcription
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
Add a description, image, and links to the chromatin-organisation topic page so that developers can more easily learn about it.
To associate your repository with the chromatin-organisation topic, visit your repo's landing page and select "manage topics."