Complex heatmaps reveal patterns and correlations in multidimensional genomic data | Zendy

Zuguang Gu | Zendy; Roland Eils | Zendy; Matthias Schlesner | Zendy

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Complex heatmaps reveal patterns and correlations in multidimensional genomic data

Author(s) -

Zuguang Gu,

Roland Eils,

Matthias Schlesner

Publication year - 2016

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btw313

Subject(s) - bioconductor , r package , annotation , computer science , documentation , visualization , graphics , software , computer graphics , data mining , information retrieval , artificial intelligence , biology , programming language , computer graphics (images) , biochemistry , gene

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.

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