Probabilistic modelling of chromatin code landscape reveals functional diversity of enhancer-like chromatin states
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.
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| Autores principales: | , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Nature Portfolio
2016
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/e3fb02d41eed42099ca98ac42107e3ab |
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| Sumario: | 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. |
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