Nature Communications (Feb 2016)

Probabilistic modelling of chromatin code landscape reveals functional diversity of enhancer-like chromatin states

  • Jian Zhou,
  • Olga G. Troyanskaya

DOI
https://doi.org/10.1038/ncomms10528
Journal volume & issue
Vol. 7, no. 1
pp. 1 – 9

Abstract

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The chromatin functional state can be derived from the binding patterns of chromatin factors. Here, Zhou and Troyanskaya report a data-driven probabilistic modelling of dependencies between chromatin factors that can divide enhancer-like chromatin states into three functionally distinct groups.