Enhort

Enhort analyzes genomic position datasets by statistically correlating position profiles such as protein binding, virus integration, DNA methylation, and transcription factor binding sites with diverse genomic annotations.

Key Features:

• Statistics-based genome browser: Performs genome-wide statistical analysis of genomic position datasets rather than single-locus inspection.
• Multi-position analysis: Analyzes multiple genomic positions simultaneously to identify collective enrichment and distribution patterns.
• Background model adjustment: Adjusts background models according to specific experimental conditions and scientific questions.
• Annotation integration: Integrates and correlates genomic positions with diverse genomic annotations to contextualize positional signals.
• Support for positional profiles: Processes position profiles derived from protein binding, virus integration, DNA methylation, and transcription factor binding sites.
• Statistical analyses: Provides comprehensive statistical analyses of positional enrichment and associations.
• Visualizations: Generates visualizations that depict positional distributions and statistical relationships.

Scientific Applications:

• Virus integration site profiling: Characterizes integration site preferences and enrichment patterns of viral integration events.
• Protein binding analysis: Assesses distribution and enrichment of protein-DNA interaction sites across the genome.
• Transcription factor binding site analysis: Evaluates positional patterns and associations of transcription factor binding sites with genomic features.
• DNA methylation positional analysis: Analyzes methylation site distributions and their correlations with genomic annotations.
• Genomic annotation correlation: Correlates position profiles with diverse annotations to investigate genome functionality and regulatory mechanisms.

Methodology:

Uses a statistics-based genome browser approach that analyzes multiple genomic positions simultaneously, adjusts background models to experimental conditions, correlates positions with genomic annotations, and produces statistical analyses and visualizations.