hiHMM: Bayesian non-parametric joint inference of chromatin state maps
نویسندگان
چکیده
منابع مشابه
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 an individual genome. To perform a principled comparison of evolutionarily distant epigenomes, we...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2015
ISSN: 1460-2059,1367-4803
DOI: 10.1093/bioinformatics/btv117