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Article Dans Une Revue Bioinformatics Advances Année : 2022

FlexDotPlot: a universal and modular dot plot visualization tool for complex multifaceted data

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Motivation: Dot plots are heatmap-like charts that provide a compact way to simultaneously display two quantitative information by means of dots of different sizes and colors. Despite the popularity of this visualization method, particularly in single-cell RNA-sequencing (scRNA-seq) studies, existing tools used to make dot plots are limited in terms of functionality and usability.Results: We developed FlexDotPlot, an R package for generating dot plots from multifaceted data, including scRNA-seq data. It provides a universal and easy-to-use solution with a high versatility. An interactive R Shiny application is also available allowing non-R users to easily generate dot plots with several tunable parameters.Availability and implementation: Source code and detailed manual are available on CRAN (stable version) and at https://github.com/Simon-Leonard/FlexDotPlot (development version). Code to reproduce figures is available at https://github.com/Simon-Leonard/FlexDotPlot_paper. A Shiny app is available as a stand-alone application within the package.Supplementary information: Supplementary data are available at Bioinformatics Advances online.
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hal-04147104 , version 1 (30-06-2023)

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Simon Leonard, Aurélie Lardenois, Karin Tarte, Antoine D. Rolland, Frédéric Chalmel. FlexDotPlot: a universal and modular dot plot visualization tool for complex multifaceted data. Bioinformatics Advances, 2022, 2 (1), pp.vbac019. ⟨10.1093/bioadv/vbac019⟩. ⟨hal-04147104⟩
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