Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 박현석 | * |
dc.date.accessioned | 2016-10-14T01:10:52Z | - |
dc.date.available | 2016-10-14T01:10:52Z | - |
dc.date.issued | 2016 | * |
dc.identifier.issn | 1676-5680 | * |
dc.identifier.other | OAK-19383 | * |
dc.identifier.uri | https://dspace.ewha.ac.kr/handle/2015.oak/232392 | - |
dc.description.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. | * |
dc.language | English | * |
dc.publisher | FUNPEC-EDITORA | * |
dc.subject | Chromatin maps | * |
dc.subject | Nucleotide frequency patterns | * |
dc.subject | Markov chain | * |
dc.subject | Noncoding DNA | * |
dc.subject | Computational epigenetics | * |
dc.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 | * |
dc.type | Article | * |
dc.relation.issue | 3 | * |
dc.relation.volume | 15 | * |
dc.relation.index | SCIE | * |
dc.relation.index | SCOPUS | * |
dc.relation.journaltitle | GENETICS AND MOLECULAR RESEARCH | * |
dc.identifier.doi | 10.4238/gmr.15039004 | * |
dc.identifier.wosid | WOS:000384881600108 | * |
dc.identifier.scopusid | 2-s2.0-84986296837 | * |
dc.author.google | Lee, K. -E. | * |
dc.author.google | Lee, E. -J. | * |
dc.author.google | Park, H. -S. | * |
dc.contributor.scopusid | 박현석(22433646000) | * |
dc.date.modifydate | 20240322133434 | * |