Exploring chromatin hierarchical organization via Markov State Modelling

We propose a new computational method for exploring chromatin structural organization based on Markov State Modelling of Hi-C data represented as an interaction network between genomic loci. A Markov process describes the random walk of a traveling probe in the corresponding energy landscape, mimick...

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Detalles Bibliográficos
Autores principales: Tan, Zhen Wah, Guarnera, Enrico, Berezovsky, Igor N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6355033/
https://www.ncbi.nlm.nih.gov/pubmed/30596637
http://dx.doi.org/10.1371/journal.pcbi.1006686

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6355033/
https://www.ncbi.nlm.nih.gov/pubmed/30596637
http://dx.doi.org/10.1371/journal.pcbi.1006686

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