Complex Heatmaps Reveal Patterns and Correlations in Multidimensional Genomic Data

Overview

Journal Bioinformatics

Publisher Oxford University Press

Specialty Biology

Date 2016 May 22

PMID 27207943

Citations 4111

Authors

Zuguang Gu

Roland Eils

Matthias Schlesner

Affiliations

Soon will be listed here.

Abstract

Unlabelled: 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.

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