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SEA version 3.0: a comprehensive extension and update of the Super-Enhancer archive.
Chen, Chuangeng; Zhou, Dianshuang; Gu, Yue; Wang, Cong; Zhang, Mengyan; Lin, Xiangyu; Xing, Jie; Wang, Hongli; Zhang, Yan.
Afiliación
  • Chen C; School of Life Science and Technology, Computational Biology Research Center, Harbin Institute of Technology, Harbin 150001, China.
  • Zhou D; School of Life Science and Technology, Computational Biology Research Center, Harbin Institute of Technology, Harbin 150001, China.
  • Gu Y; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
  • Wang C; School of Life Science and Technology, Computational Biology Research Center, Harbin Institute of Technology, Harbin 150001, China.
  • Zhang M; School of Life Science and Technology, Computational Biology Research Center, Harbin Institute of Technology, Harbin 150001, China.
  • Lin X; School of Life Science and Technology, Computational Biology Research Center, Harbin Institute of Technology, Harbin 150001, China.
  • Xing J; School of Life Science and Technology, Computational Biology Research Center, Harbin Institute of Technology, Harbin 150001, China.
  • Wang H; School of Life Science and Technology, Computational Biology Research Center, Harbin Institute of Technology, Harbin 150001, China.
  • Zhang Y; School of Life Science and Technology, Computational Biology Research Center, Harbin Institute of Technology, Harbin 150001, China.
Nucleic Acids Res ; 48(D1): D198-D203, 2020 01 08.
Article en En | MEDLINE | ID: mdl-31667506
ABSTRACT
Super-enhancers (SEs) are critical for the transcriptional regulation of gene expression. We developed the super-enhancer archive version 3.0 (SEA v. 3.0, http//sea.edbc.org) to extend SE research. SEA v. 3.0 provides the most comprehensive archive to date, consisting of 164 545 super-enhancers. Of these, 80 549 are newly identified from 266 cell types/tissues/diseases using an optimized computational strategy, and 52 have been experimentally confirmed with manually curated references. We now support super-enhancers in 11 species including 7 new species (zebrafish, chicken, chimp, rhesus, sheep, Xenopus tropicalis and stickleback). To facilitate super-enhancer functional analysis, we added several new regulatory datasets including 3 361 785 typical enhancers, chromatin interactions, SNPs, transcription factor binding sites and SpCas9 target sites. We also updated or developed new criteria query, genome visualization and analysis tools for the archive. This includes a tool based on Shannon Entropy to evaluate SE cell type specificity, a new genome browser that enables the visualization of SE spatial interactions based on Hi-C data, and an enhanced enrichment analysis interface that provides online enrichment analyses of SE related genes. SEA v. 3.0 provides a comprehensive database of all available SE information across multiple species, and will facilitate super-enhancer research, especially as related to development and disease.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Elementos de Facilitación Genéticos / Bases de Datos de Ácidos Nucleicos Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Nucleic Acids Res Año: 2020 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Elementos de Facilitación Genéticos / Bases de Datos de Ácidos Nucleicos Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Nucleic Acids Res Año: 2020 Tipo del documento: Article País de afiliación: China