The database provides annotation of enhancers in the human hg19 genome. The enhancers were predicted based on at least three independent high throughput experimental datasets (e.g. histone modification, eRNA, transcription factor binding and DHS). Currently, the database contains 2,534,123 enhancers for 76 cell lines and 29 tissues. The database allows users to (1) examine the experimental evidences for the predicted enhancers in a given genomic region; (2) compare the enhancers across different cell/tissue types; (3) identify the enhancers associated with a gene; (4) predict the genes regulated by a set of cis-regulatory elements.Cite us:
1. Tianshun Gao and Jiang Qian. EnhancerAtlas 2.0: an updated resource with enhancer annotation in 586 tissue/cell types across nine species. Nucleic Acids Res. 2019.
2. Tianshun Gao and Jiang Qian. EAGLE: An algorithm that utilizes a small number of genomic features to predict tissue/cell type-specific enhancer-gene interactions. PLoS Comput. Biol. 2019; https://doi.org/10.1371/journal.pcbi.1007436.
3. Tianshun Gao, Bing He, Sheng Liu, Heng Zhu, Kai Tan and Jiang Qian. EnhancerAtlas: a resource for enhancer annotation and analysis in 105 human cell/tissue types. Bioinformatics 2016; doi: 10.1093/bioinformatics/btw495.
※ Compare enhancers across cells:
※ Compare enhancers of gene across cells:
※ Generate enhancer-gene network:
※ Predict target genes for genomic regions (e.g. peaks from ChIP-Seq):