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Figure 1 | Genome Biology

Figure 1

From: EpiGRAPH: user-friendly software for statistical analysis and prediction of (epi)genomic data

Figure 1

Results screenshot of EpiGRAPH's statistical analysis identifying significant differences between the promoter regions of monoallelically versus biallelically expressed genes. Comparing the promoter regions of monoallelically expressed genes (class = 1) with those of biallelically expressed genes (class = 0), EpiGRAPH's statistical analysis detects highly significant differences in terms of chromatin structure and transcriptional activity. P-values in this table are based on the nonparametric Wilcoxon rank-sum test ('method' column). Multiple hypothesis testing was accounted for with both the highly conservative Bonferroni method ('sig bonf' column) and the false discovery rate method ('sig fdr' column). A global significance threshold of 5% was used in both cases. Attributes highlighted in red are discussed in the main text. An explanation of attribute names is available from the EpiGRAPH website [29].

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