Abstract
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.
Keywords
BioconductorR packageAnnotationComputer scienceDocumentationVisualizationGraphicsSoftwareComputer graphicsData miningInformation retrievalArtificial intelligenceBiologyProgramming languageComputer graphics (images)
Affiliated Institutions
Related Publications
ShinyGO: a graphical gene-set enrichment tool for animals and plants
Abstract Motivation Gene lists are routinely produced from various omic studies. Enrichment analysis can link these gene lists with underlying molecular pathways and functional ...
Publication Info
- Year
- 2016
- Type
- article
- Volume
- 32
- Issue
- 18
- Pages
- 2847-2849
- Citations
- 9821
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
9821
OpenAlex
Cite This
Zuguang Gu,
Roland Eils,
Matthias Schlesner
(2016).
Complex heatmaps reveal patterns and correlations in multidimensional genomic data.
Bioinformatics
, 32
(18)
, 2847-2849.
https://doi.org/10.1093/bioinformatics/btw313
Identifiers
- DOI
- 10.1093/bioinformatics/btw313