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SEanalysis: a web tool for super-enhancer associated regulatory analysis

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 analy...

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Autores principales: Qian, Feng-Cui, Li, Xue-Cang, Guo, Jin-Cheng, Zhao, Jian-Mei, Li, Yan-Yu, Tang, Zhi-Dong, Zhou, Li-Wei, Zhang, Jian, Bai, Xue-Feng, Jiang, Yong, Pan, Qi, Wang, Qiu-Yu, Li, En-Min, Li, Chun-Quan, Xu, Li-Yan, Lin, De-Chen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6602466/
https://www.ncbi.nlm.nih.gov/pubmed/31028388
http://dx.doi.org/10.1093/nar/gkz302
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author Qian, Feng-Cui
Li, Xue-Cang
Guo, Jin-Cheng
Zhao, Jian-Mei
Li, Yan-Yu
Tang, Zhi-Dong
Zhou, Li-Wei
Zhang, Jian
Bai, Xue-Feng
Jiang, Yong
Pan, Qi
Wang, Qiu-Yu
Li, En-Min
Li, Chun-Quan
Xu, Li-Yan
Lin, De-Chen
author_facet Qian, Feng-Cui
Li, Xue-Cang
Guo, Jin-Cheng
Zhao, Jian-Mei
Li, Yan-Yu
Tang, Zhi-Dong
Zhou, Li-Wei
Zhang, Jian
Bai, Xue-Feng
Jiang, Yong
Pan, Qi
Wang, Qiu-Yu
Li, En-Min
Li, Chun-Quan
Xu, Li-Yan
Lin, De-Chen
author_sort Qian, Feng-Cui
collection PubMed
description 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.
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spelling pubmed-66024662019-07-05 SEanalysis: a web tool for super-enhancer associated regulatory analysis Qian, Feng-Cui Li, Xue-Cang Guo, Jin-Cheng Zhao, Jian-Mei Li, Yan-Yu Tang, Zhi-Dong Zhou, Li-Wei Zhang, Jian Bai, Xue-Feng Jiang, Yong Pan, Qi Wang, Qiu-Yu Li, En-Min Li, Chun-Quan Xu, Li-Yan Lin, De-Chen Nucleic Acids Res Web Server Issue 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. Oxford University Press 2019-07-02 2019-04-27 /pmc/articles/PMC6602466/ /pubmed/31028388 http://dx.doi.org/10.1093/nar/gkz302 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ 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.
spellingShingle Web Server Issue
Qian, Feng-Cui
Li, Xue-Cang
Guo, Jin-Cheng
Zhao, Jian-Mei
Li, Yan-Yu
Tang, Zhi-Dong
Zhou, Li-Wei
Zhang, Jian
Bai, Xue-Feng
Jiang, Yong
Pan, Qi
Wang, Qiu-Yu
Li, En-Min
Li, Chun-Quan
Xu, Li-Yan
Lin, De-Chen
SEanalysis: a web tool for super-enhancer associated regulatory analysis
title SEanalysis: a web tool for super-enhancer associated regulatory analysis
title_full SEanalysis: a web tool for super-enhancer associated regulatory analysis
title_fullStr SEanalysis: a web tool for super-enhancer associated regulatory analysis
title_full_unstemmed SEanalysis: a web tool for super-enhancer associated regulatory analysis
title_short SEanalysis: a web tool for super-enhancer associated regulatory analysis
title_sort seanalysis: a web tool for super-enhancer associated regulatory analysis
topic Web Server Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6602466/
https://www.ncbi.nlm.nih.gov/pubmed/31028388
http://dx.doi.org/10.1093/nar/gkz302
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