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. 2021 Oct 1;11:19545. doi: 10.1038/s41598-021-98889-7

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© The Author(s) 2021

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Panel of active and repressive actors in mESCs generated by SeqCode. For each ChIP-seq signal and corresponding set of target genes, the average distribution (produceTSSplots) and heatmap (produceTSSmaps) around the TSS, average distribution along the gene body (produceGENEplots), average distribution (producePEAKplots) and heatmap (producePEAKmaps) around the center of the peaks, genome distribution of each set of peaks (genomeDistribution), and ChIP-seq levels normalized by the total number of reads (recoverChIPlevels) are shown for 100 highly expressed genes (more than 1000 RPKMs; red), 100 moderately expressed genes (100–500 RPKMs; yellow) and 100 silenced genes (0–1 RPKMs; blue). Raw data were retrieved from^32,33,37,38. Target genes of each ChIP-seq were identified with the matchpeaksgenes routine.