EpiRegio
EpiRegio maps regulatory elements (REMs) and links chromatin accessibility variations to gene expression to characterize regulatory influences on protein-coding and non-protein coding genes across human primary cell types and tissues.
Key Features:
- Integration of Epigenomic and Gene Expression Data: Combines epigenomic data with gene expression profiles across human primary cell types and tissues to associate chromatin states with transcriptional output.
- Analysis of Regulatory Elements (REMs): Analyzes REMs for both protein-coding and non-protein coding genes, estimating element activity and cell type-specific contributions to target gene expression.
- Exploration of Genomic Regions: Enables examination of genomic regions for regulatory potential, including dissection of areas with overlapping REMs.
- Programmatic Access: Provides a REST API for automated querying and large-scale analyses.
Scientific Applications:
- GWAS Variant Interpretation: Facilitates interpretation of non-coding genomic variants from genome-wide association studies by linking variants to REMs and candidate target genes.
- Target Gene Identification: Supports identification and analysis of genes associated with REMs to elucidate regulatory relationships.
- Regulatory Mechanism Elucidation: Aids investigation of how variation in non-coding regions and chromatin accessibility contribute to changes in gene expression and influence phenotypic traits or disease states.
Methodology:
Integrates epigenomic and gene expression data, correlates variations in chromatin accessibility with changes in gene expression, estimates cell type-specific contributions of REMs to target gene expression, and examines overlapping REMs.
Topics
Details
- License:
- GPL-3.0
- Tool Type:
- api, web application
- Programming Languages:
- Python, JavaScript
- Added:
- 1/18/2021
- Last Updated:
- 3/8/2021
Operations
Publications
Baumgarten N, Hecker D, Karunanithi S, Schmidt F, List M, Schulz MH. EpiRegio: analysis and retrieval of regulatory elements linked to genes. Nucleic Acids Research. 2020;48(W1):W193-W199. doi:10.1093/nar/gkaa382. PMID:32459338. PMCID:PMC7319550.