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.

PMID: 32459338
PMCID: PMC7319550
Funding: - Deutsches Zentrum für Herz-Kreislaufforschung: 81Z0200101 - Deutsche Forschungsgemeinschaft: DFG SFB/TRR 267

Documentation

Links