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Home > the bioinformatics chat > #30 Bayesian inference of chromatin structure from Hi-C data with Simeon Carstens
Podcast: the bioinformatics chat
Episode:

#30 Bayesian inference of chromatin structure from Hi-C data with Simeon Carstens
Category: Science & Medicine
Duration: 01:05:42
Publish Date: 2019-02-27 13:00:00
Description:

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 he applied the Inferential Structure Determination (ISD) framework to build a 3D model of chromatin and fit that model to Hi-C data using Hamiltonian Monte Carlo and Gibbs sampling.

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