Focuses on integrating experimentally and computationally identified super-enhancers and annotating their potential roles in the regulation of cell identity gene expression in a cell type-specific manner. The current release of SEA incorporates 83 996 super-enhancers computationally or experimentally identified in 134 cell types/tissues/diseases, including human (75 439, three of which were experimentally identified), mouse (5879, five of which were experimentally identified), Drosophila melanogaster (1774) and Caenorhabditis elegans (904). To facilitate data extraction, SEA supports multiple search options, including species, genome location, gene name, cell type/tissue and super-enhancer name. The response provides detailed (epi)genetic information, incorporating cell type specificity, nearby genes, transcriptional factor binding sites, CRISPR/Cas9 target sites, evolutionary conservation, SNPs, H3K27ac, DNA methylation, gene expression and TF ChIP-seq data. Moreover, analytical tools and a genome browser were developed for users to explore super-enhancers and their roles in defining cell identity and disease processes in depth.
College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China; School of Life Science and Technology, State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, China
SEA funding source(s)
National Natural Science Foundation of China [31371334, 61403112, 81573021 and 61402139]; Natural Science Foundation of Heilongjiang Province [ZD2015003]; Innovation and Technology special Fund for researchers of Harbin Science and Technology Bureau [2015RAXXJ052]; Innovation Research Fund for Graduate Students of Harbin Medical University [YJSCX2014–23HYD]