EnrichedHeatmap

EnrichedHeatmap visualizes enrichment of genomic signals across specified target regions to reveal patterns in high-throughput sequencing and epigenomic datasets.

Key Features:

• Genomic signal enrichment visualization: Visualizes enrichment of signals across specified target regions to reveal spatial patterns.
• Normalization within target regions: Provides methods for normalizing genomic signals within target regions.
• Parallel heatmaps: Generates parallel heatmaps to compare and integrate multiple datasets simultaneously.
• Complex annotations: Supports adding complex annotations to integrate and summarize patterns and associations across datasets.
• Implementation: Implemented using the ComplexHeatmap package in R.
• Scalability to high-dimensional data: Applicable to high-dimensional genomic and epigenomic datasets derived from high-throughput sequencing.

Scientific Applications:

• High-throughput sequencing analysis: Visualizes enrichment patterns in datasets generated by high-throughput sequencing.
• Epigenomic integration: Integrates and visualizes relationships among DNA methylation and histone modifications.
• Transcriptomic association: Explores associations between gene expression and enrichment of genomic signals.
• Multi-omics comparison: Compares and integrates multiple genomic and epigenomic data types via parallel heatmaps and annotations.

Methodology:

Implemented using the ComplexHeatmap package in R; performs normalization of signals within target regions, generates parallel heatmaps, and supports complex annotations.