title: Complex heatmaps reveal patterns and correlations in multidimensional genomic data.
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.html
  
  
  
  m.schlesner@dkfz.de
  
  
  
  Supplementary data are available at Bioinformatics online.
authors.affiliation: Division of Theoretical Bioinformatics Heidelberg Center for Personalized Oncology (DKFZ-HIPO), German Cancer Research Center (DKFZ), Heidelberg, Germany.
authors.forename: Zuguang
authors.initials: Z
authors.lastname: Gu
authors.affiliation: Division of Theoretical Bioinformatics Heidelberg Center for Personalized Oncology (DKFZ-HIPO), German Cancer Research Center (DKFZ), Heidelberg, Germany Department for Bioinformatics and Functional Genomics, Institute for Pharmacy and Molecular Biotechnology (IPMB) and BioQuant, Heidelberg University, Heidelberg, Germany.
authors.forename: Roland
authors.initials: R
authors.lastname: Eils
authors.affiliation: Division of Theoretical Bioinformatics.
authors.forename: Matthias
authors.initials: M
authors.lastname: Schlesner
mesh_terms: D003196:Computer Graphics; D015870:Gene Expression; D023281:Genomics; D006801:Humans; D053858:Metabolic Networks and Pathways; D012984:Software