ggoncoplot

Spec sheet

Purpose

The R package creates interactive oncoplots to visualize mutation patterns across cancer patient cohorts.Read 12 Oct 2026 · selkamand.github.io

Audience

The maker presents the package as a way to make oncoplots more accessible to researchers working with cancer cohort mutation data.Read 12 Oct 2026 · selkamand.github.io

Integrations

The package is built on ggplot2 and uses ggiraph for interactive plots; the maker also acknowledges patchwork.Read 12 Oct 2026 · selkamand.github.io

Support

The project links users to GitHub to report bugs and provides a community contribution guide.Read 12 Oct 2026 · selkamand.github.io

Coloring

The package can automatically select accessible palettes for mutation consequence labels aligned with PAVE, Sequence Ontology, or MAF variant classifications.Read 12 Oct 2026 · selkamand.github.io

Customization

Users can select or exclude genes, set sample order, customize palettes, and provide pathway data.Read 12 Oct 2026 · selkamand.github.io

Dashboard type

staticRead 24 Sep 2026 · selkamand.github.io

Data scope

The maker describes use for noncoding features such as promoter or enhancer mutations and non-genomic entities such as microbiome data.Read 12 Oct 2026 · selkamand.github.io

Embedded dashboards

NoRead 24 Sep 2026 · selkamand.github.io

Features

Plots can include gene frequency and tumor mutation burden barplots, plus numeric or categorical sample metadata.Read 12 Oct 2026 · selkamand.github.io

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.Read 12 Oct 2026 · selkamand.github.io

Interactivity

Interactive mode supports tooltips, data linking, cross-selection across plots, and copying values when a plot tile is clicked.Read 12 Oct 2026 · selkamand.github.io

License and security

The package uses the MIT License, which disclaims warranties; the maker's pages opened provide no security certification or compliance claim.Read 12 Oct 2026 · selkamand.github.io

Limitations

Interactive responsiveness may slow as the samples-by-genes tile count grows, especially when tooltips contain substantial information.Read 12 Oct 2026 · selkamand.github.io

Output

The function returns a ggplot object or, in interactive mode, a girafe object.Read 12 Oct 2026 · selkamand.github.io

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.Read 12 Oct 2026 · selkamand.github.io

Platform

desktopRead 24 Sep 2026 · selkamand.github.io

Scheduled refresh

NoRead 24 Sep 2026 · selkamand.github.io

Plans and prices

Every ggoncoplot plan and price →

Where Specifiction places it

• Data Visualization Software#75 of 987.4