Complex heatmaps reveal patterns and correlations in multidimensional genomic data

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ID: 289262
2016
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Abstract
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.The ComplexHeatmap package and documentation are freely available from the Bioconductor project: http://www.bioconductor.org/packages/devel/bioc/html/ComplexHeatmap.htmlm.schlesner@dkfz.deSupplementary data are available at Bioinformatics online.
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openalex_W2406250479 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Zuguang Gu, Roland Eils, Matthias Schlesner
Journal BMC Bioinformatics
Year 2016
DOI
10.1093/bioinformatics/btw313
URL
https://academic.oup.com/bioinformatics/article-pdf/32/18/2847/24406805/btw313.pdf
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