| Literature DB >> 31028388 |
Feng-Cui Qian1, Xue-Cang Li1, Jin-Cheng Guo2, Jian-Mei Zhao1, Yan-Yu Li1, Zhi-Dong Tang1, Li-Wei Zhou1, Jian Zhang1, Xue-Feng Bai1, Yong Jiang1, Qi Pan1, Qiu-Yu Wang1,2, En-Min Li1, Chun-Quan Li1, Li-Yan Xu2, De-Chen Lin3.
Abstract
Super-enhancers (SEs) have prominent roles in biological and pathological processes through their unique transcriptional regulatory capability. To date, several SE databases have been developed by us and others. However, these existing databases do not provide downstream or upstream regulatory analyses of SEs. Pathways, transcription factors (TFs), SEs, and SE-associated genes form complex regulatory networks. Therefore, we designed a novel web server, SEanalysis, which provides comprehensive SE-associated regulatory network analyses. SEanalysis characterizes SE-associated genes, TFs binding to target SEs, and their upstream pathways. The current version of SEanalysis contains more than 330 000 SEs from more than 540 types of cells/tissues, 5042 TF ChIP-seq data generated from these cells/tissues, DNA-binding sequence motifs for ∼700 human TFs and 2880 pathways from 10 databases. SEanalysis supports searching by either SEs, samples, TFs, pathways or genes. The complex regulatory networks formed by these factors can be interactively visualized. In addition, we developed a customizable genome browser containing >6000 customizable tracks for visualization. The server is freely available at http://licpathway.net/SEanalysis.Entities:
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Year: 2019 PMID: 31028388 PMCID: PMC6602466 DOI: 10.1093/nar/gkz302
Source DB: PubMed Journal: Nucleic Acids Res ISSN: 0305-1048 Impact factor: 16.971