RAEdb
RAEdb aggregates and organizes enhancers identified by high-throughput reporter assays to provide a centralized resource of quantitative enhancer activity data.
Key Features:
- Comprehensive Data Collection: Aggregates enhancers from eight distinct studies, predominantly derived from six human cell lines, totaling 538,320 enhancers.
- Activity Scoring System: Assigns an activity score to each enhancer based on quantitative reporter assay measurements, reflecting relative regulatory strength.
- Epromoter Identification: Identifies and stores 7,658 epromoters, defined as promoters that exhibit enhancer activity.
- Search Capabilities: Supports study-based filtering by species and cell line and enhancer/epromoter queries by genomic position, activity score, sequence characteristics, and associated genes.
- Genome Browser Integration: Includes a genome browser for visualization and comparison of enhancers in genomic context, enabling spatial analysis relative to other genetic elements.
Scientific Applications:
- Gene Regulation Studies: Enables investigation of regulatory networks using enhancer activity scores and epromoter data.
- Comparative Genomics: Facilitates comparisons across species and cell lines to identify conserved regulatory elements and evolutionary patterns.
- Functional Genomics: Supports design and interpretation of functional experiments by providing enhancer genomic positions and quantitative activity scores.
Methodology:
Data derive from high-throughput reporter assays that quantitatively measure enhancer activity across thousands of regulatory elements, and activity scores are calculated from those quantitative assessments.
Topics
Details
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 6/23/2019
- Last Updated:
- 6/16/2020
Operations
Publications
Cai Z, Cui Y, Tan Z, Zhang G, Tan Z, Zhang X, Peng Y. RAEdb: a database of enhancers identified by high-throughput reporter assays. Database. 2019;2019. doi:10.1093/database/bay140. PMID:30624654. PMCID:PMC6323319.
PMID: 30624654
PMCID: PMC6323319
Funding: - National Natural Science Foundation of China: 31500126
- Hunan Provincial Natural Science Foundation of China: 2018JJ3039
- National Key Plan for Scientific Research and Development of China: 2016YFC1200200, 2016YFD0500300
Documentation
Downloads
- Biological datahttp://www.computationalbiology.cn/RAEdb/download.html