CCPlotR: an R package for the visualization of cell-cell interactions

Sarah Ennis; Pilib Ó Broin; Eva Szegezdi

doi:10.1093/bioadv/vbad130

CCPlotR: an R package for the visualization of cell-cell interactions

Bioinform Adv. 2023 Sep 20;3(1):vbad130. doi: 10.1093/bioadv/vbad130. eCollection 2023.

Authors

Sarah Ennis^{1

2

3}, Pilib Ó Broin^{1

2}, Eva Szegezdi^{1

3}

Affiliations

¹ The SFI Centre for Research Training in Genomics Data Science, Galway, H91 TK33, Ireland.
² Discipline of Bioinformatics, School of Mathematical & Statistical Sciences, University of Galway, Galway, H91 TK33, Ireland.
³ Apoptosis Research Centre, School of Biological & Chemical Sciences, University of Galway, Galway, H91 TK33, Ireland.

Abstract

Summary: We present CCPlotR-an R package that generates visualizations of cell-cell interactions. CCPlotR is designed to work with the output of tools that predict cell-cell interactions from single-cell gene expression data and requires only a table of predicted interactions as input. The package can generate a comprehensive set of publication-ready figures such as heatmaps, dotplots, circos plots and network diagrams, providing a useful resource for researchers working on cell-cell interactions.

Availability and implementation: CCPlotR is available to download and install from GitHub (https://github.com/Sarah145/CCPlotR) and comes with a toy dataset to demonstrate the different functions. Support for users will be provided via the GitHub issues tracker (https://github.com/Sarah145/CCPlotR/issues).