The non-coding DNA in eukaryotic genomes encodes a language which programs 
chromatin accessibility, transcription factor binding, and various other 
activities. The objective of this short report was to determine the impact of 
primary DNA sequence on the epigenomic landscape across 200-base pair genomic 
units by integrating nine publicly available ChromHMM Browser Extensible Data 
files of the Encyclopedia of DNA Elements (ENCODE) project. The nucleotide 
frequency profiles of nine chromatin annotations with the units of 200 bp were 
analyzed and integrative Markov chains were built to detect the Markov 
properties of the DNA sequences in some of the active chromatin states of 
different ChromHMM regions. Our aim was to identify the possible relationship 
between DNA sequences and the newly built chromatin states based on the 
integrated ChromHMM datasets of different cells and tissue types.