Hi-C is a sequencing-based assay that provides information about the 3-dimensional organization of the genome.

In this episode, Simeon Carstens explains how heapplied the Inferential Structure Determination (ISD) framework to build a 3Dmodel of chromatin and fit that model to Hi-C data using Hamiltonian MonteCarlo and Gibbs sampling.

Links:

• Bayesian inference of chromatin structure ensembles from population Hi-C data (Simeon Carstens, Michael Nilges, Michael Habeck)
• Inferential Structure Determination of Chromosomes from Single-Cell Hi-C Data (Simeon Carstens, Michael Nilges, Michael Habeck)