Building the SeqChromMM Markov property atlas of the human genome by analyzing the 200-bp units of the 15 different chromatin regions of ENCODE

Abstract

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.