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Using Markov chains of nucleotide sequences as a possible precursor to predict functional roles of human genome: a case study on inactive chromatin regions

Title
Using Markov chains of nucleotide sequences as a possible precursor to predict functional roles of human genome: a case study on inactive chromatin regions
Authors
Lee, K. -E.Lee, E. -J.Park, H. -S.
Ewha Authors
박현석
SCOPUS Author ID
박현석scopus
Issue Date
2016
Journal Title
GENETICS AND MOLECULAR RESEARCH
ISSN
1676-5680JCR Link
Citation
vol. 15, no. 3
Keywords
Chromatin mapsNucleotide frequency patternsMarkov chainNoncoding DNAComputational epigenetics
Publisher
FUNPEC-EDITORA
Indexed
SCIE; SCOPUS WOS scopus
Abstract
Recent advances in computational epigenetics have provided new opportunities to evaluate n-gram probabilistic language models. In this paper, we describe a systematic genome-wide approach for predicting functional roles in inactive chromatin regions by using a sequence-based Markovian chromatin map of the human genome. We demonstrate that Markov chains of sequences can be used as a precursor to predict functional roles in heterochromatin regions and provide an example comparing two publicly available chromatin annotations of large-scale epigenomics projects: ENCODE project consortium and Roadmap Epigenomics consortium.
DOI
10.4238/gmr.15039004
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엘텍공과대학 > 컴퓨터공학과 > Journal papers
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