We analyzed the publicly available ChromHMM BED files of the ENCODE project and 
tested the Markov properties of the different chromatin states in the human 
genome. Nucleotide frequency profiles of regional chromatin segmentations were 
analyzed, and Markov chains were built to detect Markov properties in the 
chromatin states of different ChromHMM regions. By estimating the transition 
probabilities of 200-base pair nucleotide sequences of the human genome, we 
constructed a nucleotide-sequence-based Markovian chromatin map called 
SeqChromMM.