Multi-scale chromatin state annotation using a hierarchical hidden Markov model

The impact of chromatin structure on gene expression makes it integral to our understanding of developmental and disease processes. Here, the authors introduce a hierarchical hidden Markov model to systematically annotate chromatin states at multiple length scales, and demonstrate its utility for th...

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Bibliographic Details
Main Authors: Eugenio Marco, Wouter Meuleman, Jialiang Huang, Kimberly Glass, Luca Pinello, Jianrong Wang, Manolis Kellis, Guo-Cheng Yuan
Format: Article
Language:English
Published: Nature Publishing Group 2017-04-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/ncomms15011