Gu Zuguang, Eils Roland, Schlesner Matthias
Division of Theoretical Bioinformatics Heidelberg Center for Personalized Oncology (DKFZ-HIPO), German Cancer Research Center (DKFZ), Heidelberg, Germany.
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.
Bioinformatics. 2016 Sep 15;32(18):2847-9. doi: 10.1093/bioinformatics/btw313. Epub 2016 May 20.
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
Supplementary data are available at Bioinformatics online.
带有精心设计注释图形的平行热图对于高效可视化高维基因组数据中的模式和关系非常强大。在这里，我们展示了ComplexHeatmap软件包，它为定制热图、排列多个平行热图以及包含用户定义的注释图形提供了丰富的功能。我们用四个实际数据集展示了ComplexHeatmap轻松揭示多个信息源之间的模式和相关性的能力。
ComplexHeatmap软件包和文档可从Bioconductor项目免费获取：http://www.bioconductor.org/packages/devel/bioc/html/ComplexHeatmap.html
补充数据可在《生物信息学》在线获取。
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