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. 2022 Feb 7;38(5):1460-1462.
doi: 10.1093/bioinformatics/btab806.

Make Interactive Complex Heatmaps in R

Affiliations

Make Interactive Complex Heatmaps in R

Zuguang Gu et al. Bioinformatics. .

Abstract

Summary: Heatmap is a powerful visualization method on two-dimensional data to reveal patterns shared by subsets of rows and columns. In this work, we introduce a new R package InteractiveComplexHeatmap that brings interactivity to the widely used ComplexHeatmap package. InteractiveComplexHeatmap is designed with an easy-to-use interface where static complex heatmaps can be directly exported to an interactive Shiny web application only with one additional line of code. InteractiveComplexHeatmap also provides flexible functionalities for integrating interactive heatmap widgets to build more complex and customized Shiny web applications.

Availability and implementation: The InteractiveComplexHeatmap package and documentations are freely available from the Bioconductor project: https://bioconductor.org/packages/InteractiveComplexHeatmap/. A complete and printer-friendly version of the documentation can also be found in Supplementary File S1.

Supplementary information: Supplementary data are available at Bioinformatics online.

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Figures

Fig. 1.
Fig. 1.
An interactive heatmap application for visualizing results from a differential gene expression analysis. The interactive version of this example can be generated by the function interactivate()

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References

    1. Babicki S. et al. (2016) Heatmapper: web-enabled heat mapping for all. Nucleic Acids Res., 44, W147–W153. - PMC - PubMed
    1. Fernandez N.F. et al. (2017) Clustergrammer: a web-based heatmap visualization and analysis tool for high-dimensional biological data. Sci. Data, 4, 170151. - PMC - PubMed
    1. Galili T. et al. (2018) heatmaply: an R package for creating interactive cluster heatmaps for online publishing. Bioinformatics, 34, 1600–1602. - PMC - PubMed
    1. Gu Z. et al. (2016) Complex heatmaps reveal patterns and correlations in multidimensional genomic data. Bioinformatics, 32, 2847–2849. - PubMed
    1. Gu Z. et al. (2018) EnrichedHeatmap: an R/Bioconductor package for comprehensive visualization of genomic signal associations. BMC Genomics, 19, 234. - PMC - PubMed

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