Predicting chromatin organization using histone marks

Genome Biol. 2015 Aug 14;16(1):162. doi: 10.1186/s13059-015-0740-z.

Abstract

Genome-wide mapping of three dimensional chromatin organization is an important yet technically challenging task. To aid experimental effort and to understand the determinants of long-range chromatin interactions, we have developed a computational model integrating Hi-C and histone mark ChIP-seq data to predict two important features of chromatin organization: chromatin interaction hubs and topologically associated domain (TAD) boundaries. Our model accurately and robustly predicts these features across datasets and cell types. Cell-type specific histone mark information is required for prediction of chromatin interaction hubs but not for TAD boundaries. Our predictions provide a useful guide for the exploration of chromatin organization.

Publication types

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

MeSH terms

  • Cell Line
  • Chromatin / chemistry
  • Chromatin / metabolism*
  • Chromatin Immunoprecipitation
  • Computer Simulation
  • High-Throughput Nucleotide Sequencing
  • Histone Code*
  • Humans
  • Regulatory Sequences, Nucleic Acid
  • Sequence Analysis, DNA

Substances

  • Chromatin