Genomic HyperBrowser

Genomic HyperBrowser analyzes genomic track data to enable statistical processing and interpretation of genome-scale datasets such as ENCODE and Roadmap Epigenomics for hypothesis-driven investigation of genomic phenomena.

Key Features:

• Analysis of genomic tracks: Performs analysis and interpretation of genomic track data.
• Track representation: Represents genomic tracks as feature-specific coordinates relative to reference genome assemblies.
• Customizable processing and statistics: Provides an open-ended platform with customizable components for processing and statistical examination of tracks.
• Support for large-scale datasets: Targets genome-scale datasets including ENCODE and Roadmap Epigenomics.
• Hypothesis testing support: Enables formulation and statistical examination of falsifiable hypotheses using track data.

Scientific Applications:

• Gene regulation: Investigates relationships between genomic features and gene regulatory mechanisms.
• Disease associations: Examines associations between genomic features and disease-related loci.
• Epigenetic modifications: Analyzes patterns of epigenetic modifications across genomic tracks.
• Genome-scale exploration: Facilitates exploration of large-scale genomic datasets to derive biological insights.

Methodology:

Processing of genomic tracks represented as feature-specific coordinates relative to reference genome assemblies and statistical examination of these tracks to test falsifiable hypotheses.