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

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, existin...

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Detalles Bibliográficos
Autores principales: Leonard, Simon, Lardenois, Aurélie, Tarte, Karin, Rolland, Antoine D, Chalmel, Frédéric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710660/
https://www.ncbi.nlm.nih.gov/pubmed/36699406
http://dx.doi.org/10.1093/bioadv/vbac019
Descripción
Sumario: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.