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Fig. 4 | BMC Bioinformatics

Fig. 4

From: HOME: a histogram based machine learning approach for effective identification of differentially methylated regions

Fig. 4

Quality assessment of CH-DMRs predicted in mammalian WGBS data. (a) Genome browser representation of the quality and boundary accuracy of HOME predicted CH context DMRs for neurons (NeuN+) and glia (NeuN-) methylation data. Top panel represents hyper-methylated DMRs in NeuN+ and bottom panel represents hypo-methylated DMRs in NeuN+. (b) Heatmap of methylation level difference for hyper-methylated HOME DMRs and hypo-methylated HOME DMRs. (c) Biological annotations of hypo-methylated HOME DMRs in NeuN+ cells displaying the top 20 terms using the mouse phenotype annotation and the MGI gene expression annotation (neuron, or glia, and brain tissue related terms are highlighted in orange)

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BMC Bioinformatics

ISSN: 1471-2105

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