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.

Documentation

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