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ggoncoplot

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ggoncoplot R package

Free

MIT-licensed software · install from R-universe or GitHub

Every plan, in full

On the record

Audience
The maker presents the package as a way to make oncoplots more accessible to researchers working with cancer cohort mutation data.selkamand.github.io · read 12 Oct 2026
Coloring
The package can automatically select accessible palettes for mutation consequence labels aligned with PAVE, Sequence Ontology, or MAF variant classifications.selkamand.github.io · read 12 Oct 2026
Customization
Users can select or exclude genes, set sample order, customize palettes, and provide pathway data.selkamand.github.io · read 12 Oct 2026
Dashboard type
staticselkamand.github.io · read 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.selkamand.github.io · read 12 Oct 2026
Embedded dashboards
Noselkamand.github.io · read 24 Sep 2026
Features
Plots can include gene frequency and tumor mutation burden barplots, plus numeric or categorical sample metadata.selkamand.github.io · read 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.selkamand.github.io · read 12 Oct 2026
Integrations
The package is built on ggplot2 and uses ggiraph for interactive plots; the maker also acknowledges patchwork.selkamand.github.io · read 12 Oct 2026
Interactivity
Interactive mode supports tooltips, data linking, cross-selection across plots, and copying values when a plot tile is clicked.selkamand.github.io · read 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.selkamand.github.io · read 12 Oct 2026
Limitations
Interactive responsiveness may slow as the samples-by-genes tile count grows, especially when tooltips contain substantial information.selkamand.github.io · read 12 Oct 2026
Output
The function returns a ggplot object or, in interactive mode, a girafe object.selkamand.github.io · read 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.selkamand.github.io · read 12 Oct 2026
Platform
desktopselkamand.github.io · read 24 Sep 2026
Purpose
The R package creates interactive oncoplots to visualize mutation patterns across cancer patient cohorts.selkamand.github.io · read 12 Oct 2026
Scheduled refresh
Noselkamand.github.io · read 24 Sep 2026
Support
The project links users to GitHub to report bugs and provides a community contribution guide.selkamand.github.io · read 12 Oct 2026

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