GREAP
GREAP performs comprehensive annotation and enrichment analysis of human genomic regions to identify regulatory elements and quantify their statistical enrichment.
Key Features:
- Extensive Reference Sets: Supports 85,370 genomic region reference sets comprising 634,681,107 regions across 11 data types, including super enhancers, transcription factors, and accessible chromatin.
- Annotation and Enrichment Analysis: Provides annotation of genomic regions and enrichment testing using the hypergeometric test to assess significance.
- Locus Overlap Analysis: Performs locus overlap analysis to evaluate overlaps between different genomic loci.
- Genome Track Integration: Supports integration of over 400 million genome tracks for association with annotated region sets.
Scientific Applications:
- Regulatory Element Identification: Identify regulatory elements associated with specific genomic functions through annotation and enrichment of region sets.
- Interaction and Overlap Analysis: Analyze overlaps and interactions among diverse genomic region types using locus overlap analysis.
- Super-enhancer and Transcription Factor Studies: Investigate the roles of super enhancers and transcription factors in gene regulation via annotation and enrichment analysis.
Methodology:
Enrichment significance is evaluated with the hypergeometric test; overlaps are assessed via locus overlap analysis; the system integrates 85,370 reference region sets (634,681,107 regions) across 11 data types and supports over 400 million genome tracks.
Topics
Details
- License:
- Other
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Java, JavaScript
- Added:
- 10/13/2022
- Last Updated:
- 11/24/2024
Operations
Publications
Yang Y, Qian F, Li X, Li Y, Zhou L, Wang Q, Zhou X, Zhang J, Song C, Yu Z, Cui T, Feng C, Zhu J, Shang D, Liu J, Sun M, Zhang Y, Tang H, Li C. GREAP: a comprehensive enrichment analysis software for human genomic regions. Briefings in Bioinformatics. 2022;23(5). doi:10.1093/bib/bbac329. PMID:35959979.