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hiHMM: Bayesian non-parametric joint inference of chromatin state maps
Motivation: Genome-wide mapping of chromatin states is essential for defining regulatory elements and inferring their activities in eukaryotic genomes. A number of hidden Markov model (HMM)-based methods have been developed to infer chromatin state maps from genome-wide histone modification data for...
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| Publicado no: | Bioinformatics |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4481846/ https://ncbi.nlm.nih.gov/pubmed/25725496 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btv117 |
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