Main content


Date created: | Last Updated:


Creating DOI. Please wait...

Create DOI

Category: Project

Description: Many researchers have shown that formal language theory is an appropriate tool in analyzing various biological sequences. Markov model is most closely related to regular grammars, because an n-gram is a subsequence of n items from a given sequence, and language models that are built from n-grams are actually (n-1)-order Markov models. We investigated whether some subsets of the annotated ENCODE /RoadmapGenomics 15-state model can be predicted by simply creating n-gram models of DNA sequences, in reverse. To achieve this, ChromHMM blocks of human genome were initially dissected into a nucleosome resolution of 200-bp units and, by analyzing the BED files of ChromHMM, each individual unit was assigned one dominant chromatin state.


Loading files...


Recent Activity

Loading logs...