NucHMM: a method for quantitative modeling of nucleosome organization identifying functional nucleosome states distinctly associated with splicing potentiality

Genome Biol. 2021 Aug 26;22(1):250. doi: 10.1186/s13059-021-02465-1.


We develop a novel computational method, NucHMM, to identify functional nucleosome states associated with cell type-specific combinatorial histone marks and nucleosome organization features such as phasing, spacing and positioning. We test it on publicly available MNase-seq and ChIP-seq data in MCF7, H1, and IMR90 cells and identify 11 distinct functional nucleosome states. We demonstrate these nucleosome states are distinctly associated with the splicing potentiality of skipping exons. This advances our understanding of the chromatin function at the nucleosome level and offers insights into the interplay between nucleosome organization and splicing processes.

Keywords: Hidden Markov model; Nucleosome organization; Splicing potentiality.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Cell Line
  • Exons / genetics
  • Genome, Human
  • Humans
  • Markov Chains
  • Nucleosomes / metabolism*
  • RNA Splicing / genetics*


  • Nucleosomes