ComplexHeatmap
ComplexHeatmap visualizes high-dimensional genomic data as parallel heatmaps with customizable annotation graphics to facilitate detection of patterns and relationships across multiple data sources.
Key Features:
- Customizable Heatmap Design: Allows extensive tailoring of heatmap aesthetics to meet specific visualization requirements.
- Parallel Arrangement of Multiple Heatmaps: Supports arranging multiple heatmaps in parallel for direct comparison across datasets.
- User-Defined Annotation Graphics: Enables incorporation of custom annotation graphics to add contextual information to heatmaps.
Scientific Applications:
- Pattern and Correlation Discovery: Reveals patterns and correlations among multiple sources of genomic information through visual comparison.
- Comparative Genomic Visualization: Facilitates side-by-side comparison of different high-dimensional genomic datasets to inform analyses.
Methodology:
Integration of multiple genomic data sources into parallel heatmaps annotated with user-defined graphics.
Topics
Collections
Details
- License:
- GPL-2.0
- Tool Type:
- command-line tool, library
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 1/17/2017
- Last Updated:
- 1/13/2019
Operations
Publications
Gu Z, Eils R, Schlesner M. Complex heatmaps reveal patterns and correlations in multidimensional genomic data. Bioinformatics. 2016;32(18):2847-2849. doi:10.1093/bioinformatics/btw313. PMID:27207943.
PMID: 27207943