ggoncoplot
The facts below are what the maker publishes about ggoncoplot, checked and dated. Our editors have not written about it yet.
Plans and prices
From ggoncoplot's own pricing page, checked 12 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| ggoncoplot R package | Free | MIT-licensed software · install from R-universe or GitHub |
The facts
Each one read from ggoncoplot's own pages, with the date it was checked.
What it does
- Audience
- The maker presents the package as a way to make oncoplots more accessible to researchers working with cancer cohort mutation data.checked 12 Oct 2026
- Coloring
- The package can automatically select accessible palettes for mutation consequence labels aligned with PAVE, Sequence Ontology, or MAF variant classifications.checked 12 Oct 2026
- Customization
- Users can select or exclude genes, set sample order, customize palettes, and provide pathway data.checked 12 Oct 2026
- Dashboard type
- staticchecked 24 Sep 2026
- Data scope
- The maker describes use for noncoding features such as promoter or enhancer mutations and non-genomic entities such as microbiome data.checked 12 Oct 2026
- Embedded dashboards
- Nochecked 24 Sep 2026
- Features
- Plots can include gene frequency and tumor mutation burden barplots, plus numeric or categorical sample metadata.checked 12 Oct 2026
- Input
- It accepts a data frame, data.table, or tibble with one row per cohort mutation and columns for gene symbol and sample identifier; mutation type and tooltip columns are optional.checked 12 Oct 2026
- Integrations
- The package is built on ggplot2 and uses ggiraph for interactive plots; the maker also acknowledges patchwork.checked 12 Oct 2026
- Interactivity
- Interactive mode supports tooltips, data linking, cross-selection across plots, and copying values when a plot tile is clicked.checked 12 Oct 2026
- License and security
- The package uses the MIT License, which disclaims warranties; the maker's pages opened provide no security certification or compliance claim.checked 12 Oct 2026
- Limitations
- Interactive responsiveness may slow as the samples-by-genes tile count grows, especially when tooltips contain substantial information.checked 12 Oct 2026
- Output
- The function returns a ggplot object or, in interactive mode, a girafe object.checked 12 Oct 2026
- Performance
- The maker reports rendering an interactive oncoplot for 1,026 TCGA breast cancer samples in 0.81 seconds on a MacBook Pro with an M3 Pro chip and 18 GB RAM.checked 12 Oct 2026
- Purpose
- The R package creates interactive oncoplots to visualize mutation patterns across cancer patient cohorts.checked 12 Oct 2026
- Scheduled refresh
- Nochecked 24 Sep 2026
- Support
- The project links users to GitHub to report bugs and provides a community contribution guide.checked 12 Oct 2026
Where it runs
- Platform
- desktopchecked 24 Sep 2026
