GSuite HyperBrowser

GSuite HyperBrowser enables integrated acquisition, interoperable GSuite representation, and comparative statistical analysis of genomic and epigenomic track collections from ENCODE and Roadmap Epigenomics mapped to the human reference genome to study functional genomic elements across cell types.

Key Features:

• Data Handling and Representation: Manages genomic track collections using the GSuite tabular format to ensure interoperable representation of tracks mapped to the human reference genome.
• Computational and Statistical Methodology: Implements computational and statistical approaches for comparative and confirmatory analyses across multiple and disparate data sources.
• Generic Analytical Framework: Provides a set of generic questions and supports exploration of statistical measures and null models for contrasting analyses across tissues or diseases.
• Integrative Analysis Capabilities: Combines streamlined data acquisition, interoperable dataset representation, and customizable statistical analysis to enable integrative genomic and epigenomic investigations.

Scientific Applications:

• Comparative Genomic/Epigenomic Analysis: Comparative analysis of genomic and epigenomic tracks across different tissues or disease states.
• Large-Scale Data Integration: Integration and analysis of large-scale datasets from ENCODE and Roadmap Epigenomics to characterize functional genomic elements.
• Confirmatory Cross-Source Analysis: Cross-validation and confirmatory analyses of findings across disparate public genomic data sources.

Methodology:

Applies computational and statistical approaches for comparative and confirmatory analyses on GSuite-formatted genomic track collections, including exploration of statistical measures and null models.