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. 2016 Apr 14;6:24343. doi: 10.1038/srep24343

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Copyright © 2016, Macmillan Publishers Limited

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(A) The two steps needed to infer gene regulation from the DNA. In our model, the DNA composition is represented by the probabilistic levels of the H3K27ac signatures in mESC. Based on the sequence features of the H3K27ac, the H3K27ac signatures encoded in the DNA are predicted. The mRNA levels in mESC are predicted by combining the effects of arrangements of the H3K27ac signatures encoded in the DNA. The probabilistic H3K27ac signatures in 6 bp resolution are used for a predictive model of gene regulation in mESC. (B) Performance of the predictive model. The predicted mRNA levels (vertical axis) highly correlate with the mRNA levels measured using RNA-seq (horizontal axis) in mESC. Spearman’s rank correlation coefficient = 0.9, p-value ≈ 0. Color in density plot represents number of loci.