Work

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

Year: 2022

Type: article

Abstract: 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: online.

Source: Bioinformatics Advances

DOI: 10.1093/bioadv/vbac019

Authors: Simon Leonard, Aurélie Lardenois, Karin Tarte, Antoine D Rolland, Frédéric Chalmel