the bioinformatics chat

#30 Bayesian inference of chromatin structure from Hi-C data with Simeon Carstens

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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.

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)

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    the bioinformatics chatBy Roman Cheplyaka
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