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. 2019 Oct 31;48(D1):D198–D203. doi: 10.1093/nar/gkz1028

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© The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

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Figure 1. — Database content and construction. SEA v. 3.0 takes advantage of available public H3K27ac, BRD4, Med1 and p300 ChIP-Seq datasets to identify super-enhancers in different cell types/tissues/diseases of 11 species. It excludes peaks located within ±2 kb of any RefSeq annotated gene promoter or peaks overlapping with ENCODE blacklisted genomic regions. Multiple track types are used for genomic visualization including functional components generated by Hi-C datasets. Shannon Entropy is used to calculate and evaluate the cell type specificity of super-enhancers, and all data are accessible through the download page.