CCPlotR: an R package for the visualization of cell-cell interactions.
- Resource Type
- Academic Journal
- Authors
- Ennis S; The SFI Centre for Research Training in Genomics Data Science, Galway, H91 TK33, Ireland.; Discipline of Bioinformatics, School of Mathematical & Statistical Sciences, University of Galway, Galway, H91 TK33, Ireland.; Apoptosis Research Centre, School of Biological & Chemical Sciences, University of Galway, Galway, H91 TK33, Ireland.; Ó Broin P; The SFI Centre for Research Training in Genomics Data Science, Galway, H91 TK33, Ireland.; Discipline of Bioinformatics, School of Mathematical & Statistical Sciences, University of Galway, Galway, H91 TK33, Ireland.; Szegezdi E; The SFI Centre for Research Training in Genomics Data Science, Galway, H91 TK33, Ireland.; Apoptosis Research Centre, School of Biological & Chemical Sciences, University of Galway, Galway, H91 TK33, Ireland.
- Source
- Publisher: Oxford University Press Country of Publication: England NLM ID: 9918282081306676 Publication Model: eCollection Cited Medium: Internet ISSN: 2635-0041 (Electronic) Linking ISSN: 26350041 NLM ISO Abbreviation: Bioinform Adv Subsets: PubMed not MEDLINE
- Subject
- Language
- English
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).
Competing Interests: None declared.
(© The Author(s) 2023. Published by Oxford University Press.)