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      heatmaply: an R package for creating interactive cluster heatmaps for online publishing

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          Abstract

          Summary

          heatmaply is an R package for easily creating interactive cluster heatmaps that can be shared online as a stand-alone HTML file. Interactivity includes a tooltip display of values when hovering over cells, as well as the ability to zoom in to specific sections of the figure from the data matrix, the side dendrograms, or annotated labels. Thanks to the synergistic relationship between heatmaply and other R packages, the user is empowered by a refined control over the statistical and visual aspects of the heatmap layout.

          Availability and implementation

          The heatmaply package is available under the GPL-2 Open Source license. It comes with a detailed vignette, and is freely available from: http://cran.r-project.org/package=heatmaply.

          Supplementary information

          Supplementary data are available at Bioinformatics online.

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          Most cited references4

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          The History of the Cluster Heat Map

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            Getting Things in Order: An Introduction to theRPackageseriation

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              Biochemistry. A postgenomic visual icon.

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                Author and article information

                Journal
                Bioinformatics
                Bioinformatics
                bioinformatics
                Bioinformatics
                Oxford University Press
                1367-4803
                1367-4811
                01 May 2018
                23 October 2017
                23 October 2017
                : 34
                : 9
                : 1600-1602
                Affiliations
                [1 ]Department of Statistics and Operations Research, Tel Aviv University, Tel Aviv 6997801, Israel
                [2 ]Fios Genomics, 9 Edinburgh Bioquarter, EH16 4UX, Scotland, UK
                [3 ]Department of Statistics, Hebrew University, Jerusalem 9190401, Israel
                [4 ]Department of Statistics, Iowa State University, 2438 Osborn Dr Ames, IA 50011-1090
                Author notes
                To whom correspondence should be addressed.
                Article
                btx657
                10.1093/bioinformatics/btx657
                5925766
                29069305
                759b753b-0163-4c26-b75c-4a8f69392b2c
                © The Author 2017. Published by Oxford University Press.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 13 April 2017
                : 28 September 2017
                : 17 October 2017
                Page count
                Pages: 3
                Funding
                Funded by: European Union Seventh Framework Programme 10.13039/100011102
                Award ID: FP7/2007–2013
                Award ID: 604102
                Categories
                Applications Notes
                Data and Text Mining

                Bioinformatics & Computational biology
                Bioinformatics & Computational biology

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