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What we see in Hi-C: Introduction to chromatin biology and sequencing assays, Hi-C data browsing and feature extraction

Welcome to "What we see in Hi-C?" workshop!

This is a two-part intro to Hi-C data analysis:

  • Part I covers qualitative Hi-C data analysis in interactive browsers (higlass, resgen)
  • Part II shows how to use flexibility of Python programming for whole-genome visualization, compartments, domains and scaling analysis of Hi-C with Open2C tools.

Disclaimer: although we formally refer to whole-genome chromosome capture data as Hi-C, we will mostly work with Micro-C here.

To start, follow the instructions in What_we_see_in_Hi-C notebook.

Author: Aleksandra Galitsyna, based on the materials from Open2C and 4DN communities.

Note on releases:

First version of the workshop has been presented at the conference "Genome Architecture and Function" in Boston, 2024.

Next, the workshop waspresented at the conference "Physics Meets Genome" in Cargese, 2025.

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Materials for the workshop at Genome Architecture and Function 2024 Workshop

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