Complex heatmaps reveal patterns and correlations in multidimensional genomic data

Z Gu, R Eils, M Schlesner - Bioinformatics, 2016 - academic.oup.com
Bioinformatics, 2016academic.oup.com
Parallel heatmaps with carefully designed annotation graphics are powerful for efficient
visualization of patterns and relationships among high dimensional genomic data. Here we
present the ComplexHeatmap package that provides rich functionalities for customizing
heatmaps, arranging multiple parallel heatmaps and including user-defined annotation
graphics. We demonstrate the power of ComplexHeatmap to easily reveal patterns and
correlations among multiple sources of information with four real-world datasets. Availability …
Abstract
Summary: Parallel heatmaps with carefully designed annotation graphics are powerful for efficient visualization of patterns and relationships among high dimensional genomic data. Here we present the ComplexHeatmap package that provides rich functionalities for customizing heatmaps, arranging multiple parallel heatmaps and including user-defined annotation graphics. We demonstrate the power of ComplexHeatmap to easily reveal patterns and correlations among multiple sources of information with four real-world datasets.
Availability and Implementation: The ComplexHeatmap package and documentation are freely available from the Bioconductor project: http://www.bioconductor.org/packages/devel/bioc/html/ComplexHeatmap.html.
Contact:  m.schlesner@dkfz.de
Supplementary information:  Supplementary data are available at Bioinformatics online.
Oxford University Press