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First release.
Fifteen GPU- and canvas-accelerated visualization widgets, built on a
shared JavaScript core and exposed to R through
htmlwidgets. Every widget renders in the RStudio Viewer, R
Markdown, Quarto and Shiny, and every one ships a matching
*Output() / render*() pair for classic Shiny
apps.
volcano() – differential expression, effect size
against significance.bioheatmap() (alias heatmap_plotomics()) –
large sample-by-gene matrices. Named to avoid masking
stats::heatmap().clustermap() – expression matrix with row and column
dendrograms.dotplot() – marker genes by group, dot area for the
fraction expressing and colour for the level.violin() – one row per feature, one violin per group.
violin_density() computes the densities in R.embedding() – UMAP, t-SNE and PCA scatter at several
hundred thousand points. A factor color column pins the
legend order and keeps unused levels, the way drop = FALSE
does in ggplot2.spatial() – measurements at their slide coordinates
over the histology image, with image and spots sharing one fit so they
cannot drift apart on resize.oncoplot() – the cohort alteration landscape, with
mutation-burden and per-gene frequency barplots and clinical annotation
strips. oncoplot_memo_sort() produces the conventional
column order.lollipop() – variants along a protein over its domain
architecture.km() – Kaplan-Meier curves with censoring ticks,
confidence bands and a number-at-risk table. Accepts a
survival::survfit object directly.bioprofile() – grouped categorical profile, built for
the 96-context mutational signature layout.upset() – set intersections for the many-set case.
upset_intersections() computes exclusive intersections, so
columns sum to the union rather than double-counting.treemap() – hierarchical gene-set and pathway
composition.network() – large biological networks, with directed
edges, per-edge colour and node-click selection that pushes the clicked
id to input$<outputId>_selected in Shiny.hic() – Hi-C contact matrices with level-of-detail
tiling.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.