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

Chromatin-state analysis is widely applied in the studies of development and diseases. However, existing methods operate at a single length scale, and therefore cannot distinguish large domains from isolated elements of the same type. To overcome this limitation, we present a hierarchical hidden Mar...

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Detalles Bibliográficos
Autores principales: Marco, Eugenio, Meuleman, Wouter, Huang, Jialiang, Glass, Kimberly, Pinello, Luca, Wang, Jianrong, Kellis, Manolis, Yuan, Guo-Cheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5385569/
https://www.ncbi.nlm.nih.gov/pubmed/28387224
http://dx.doi.org/10.1038/ncomms15011

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5385569/
https://www.ncbi.nlm.nih.gov/pubmed/28387224
http://dx.doi.org/10.1038/ncomms15011

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