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- W2897594420 abstract "The non-coding DNA in eukaryotic genomes encodes a language that programs chromatin accessibility, transcription factor binding, and various other activities. The objective of this study was to determine the effect of the primary DNA sequence on the epigenomic landscape across a 200-base pair of genomic units by integrating 127 publicly available ChromHMM BED files from the Roadmap Genomics project. Nucleotide frequency profiles of 127 chromatin annotations stratified by chromatin variability were analyzed and integrative hidden Markov models were built to detect Markov properties of chromatin regions. Our aim was to identify the relationship between DNA sequence units and their chromatin variability based on integrated ChromHMM datasets of different cell and tissue types." @default.
- W2897594420 created "2018-10-26" @default.
- W2897594420 creator A5030510309 @default.
- W2897594420 date "2018-12-31" @default.
- W2897594420 modified "2023-10-03" @default.
- W2897594420 title "A Short Report on the Markov Property of DNA Sequences on 200-bp Genomic Units of Roadmap Genomics ChromHMM Annotations: A Computational Perspective" @default.
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- W2897594420 doi "https://doi.org/10.5808/gi.2018.16.4.e27" @default.
- W2897594420 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6440674" @default.
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