Changes in version 0.1.0 (2026-09-04)                  

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.

Expression and abundance

  - 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.

Single-cell and spatial

  - 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.

Cohort and variant genomics

  - 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.

Sets, hierarchies and networks

  - 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.

Genome and chromatin

  - hic() -- Hi-C contact matrices with level-of-detail tiling.