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ChromHMM: Automating chromatin-state …
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WebFeb 28, 2012 · To address this challenge, we developed ChromHMM, an automated computational system for learning chromatin states, characterizing their biological functions and correlations with large-scale... WebChromHMM is a multivariate hidden Markov model trained on histone modifications to identify chromatin states, including enhancers. ChromHMM integrates multiple chromatin datasets such as ChIP-Seq data of various histone modifications to discover the number of recurring patterns of marks in the genome. Enrichments of different biological states ... WebChromHMM provides an automated enrichment analysis of the resulting annotations to facilitate the functional interpretations of each chromatin state. ChromHMM is distinguished by its modeling emphasis on combinations of marks, its tight integration with downstream functional enrichment analyses, its speed, and its ease of use. fnf play for free snokido