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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Main Authors: | Eugenio Marco, Wouter Meuleman, Jialiang Huang, Kimberly Glass, Luca Pinello, Jianrong Wang, Manolis Kellis, Guo-Cheng Yuan |
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Format: | article |
Language: | EN |
Published: |
Nature Portfolio
2017
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Online Access: | https://doaj.org/article/2004377ed7d24b28b5e7aa6b466a4072 |
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