EpiCompare

EpiCompare identifies and characterizes genomic regions with tissue- or cell type-specific epigenomic features to pinpoint regulatory promoters and enhancers unique to specific human tissues and cell types.


Key Features:

  • Integration with Roadmap Epigenomics Data: Leverages the Human Reference Epigenome Map from the Roadmap Epigenomics Consortium comprising thousands of genome-wide epigenomic datasets to annotate regulatory elements such as promoters and enhancers across human tissues and cell types.
  • Dynamic comparison: Allows selection of specific combinations of epigenomes to compare tissue- and cell type-specific epigenomic patterns.
  • Classification algorithms: Applies classification algorithms to identify genomic regions that are unique to or shared among selected tissue and cell types.
  • Data input support: Supports analysis using publicly available Roadmap Epigenomics data and user-provided datasets.
  • Quality assessment: Provides quality assessment metrics for predicted tissue- or cell type-specific epigenomic regions.
  • Visualization: Enables visualization and further exploration of results within the WashU Epigenome Browser.

Scientific Applications:

  • Lineage-specific regulatory element discovery: Detection of lineage-specific enhancers and other regulatory elements implicated in cell type identity.
  • Regulatory genomics of differentiation: Comparative epigenomic analysis to investigate regulatory features underlying tissue and cell type differentiation and function.

Methodology:

Selects specific combinations of epigenomes and applies classification algorithms to identify regions with unique or common epigenomic features.

Topics

Details

License:
Unlicense
Maturity:
Mature
Cost:
Free of charge
Tool Type:
command-line tool, web application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R
Added:
7/7/2019
Last Updated:
11/24/2024

Operations

Data Inputs & Outputs

Publications

He Y, Wang T. EpiCompare: an online tool to define and explore genomic regions with tissue or cell type-specific epigenomic features. Bioinformatics. 2017;33(20):3268-3275. doi:10.1093/bioinformatics/btx371. PMID:28605501. PMCID:PMC5860030.

PMID: 28605501
PMCID: PMC5860030
Funding: - National Institutes of Health: R01ES024992, R01HG007175, R01HG007354, U01CA200060, U01HG009391, U24ES026699

Documentation

Links