Using the Wash U Epigenome Browser to examine genome-wide sequencing data.

Area of Science:

• Genomics
• Epigenomics
• Bioinformatics

Background:

• Genomic and epigenomic data are rapidly accumulating.
• Effective visualization tools are crucial for data interpretation.
• Existing tools may lack comprehensive features for complex analyses.

Purpose of the Study:

• To describe the Wash U Epigenome Browser, a next-generation genomic data visualization system.
• To highlight its capabilities for hosting, displaying, and analyzing large-scale epigenomic datasets.
• To showcase its utility for integrating consortium and custom data.

Main Methods:

• The Browser hosts ENCODE and Roadmap Epigenomics data.
• It supports interactive data ordering, filtering, aggregation, and classification.
• Users can upload custom tracks for direct comparison with public data.
• Statistical tests can be performed on selected data subsets.

Main Results:

• The Browser provides interactive visualization of diverse sequencing-based datasets.
• It allows data exploration across the genome, gene sets, and pathways.
• Integration of custom data with consortium data is facilitated.
• The system supports complex data interrogation through metadata and feature sets.

Conclusions:

• The Wash U Epigenome Browser is a powerful and accessible tool for genomic and epigenomic research.
• It facilitates the derivation of biological insights from large datasets.
• Its interactive features and data integration capabilities enhance scientific discovery.