https://mitraak.r-universe.devRecent package updates in mitraakR-universehttps://github.com/mitraak.pnghttps://mitraak.r-universe.devThu, 22 Oct 2026 21:59:19 GMTapratim.mitra@gmail.com (Apratim Mitra)Interactive and modular shiny app for single-cell and spatial transcriptomic data exploration and management. Visualize cell clusters or groups using interactive cell embeddings, e.g. UMAP or t-SNE, or spatial views. Explore cell composition and quality control metrics using the metadata viewer module. Investigate the effect of clustering resolutions or compare annotation sources using cluster tree. Visualize gene expression using cell embeddings or in spatial context with feature plots and coexpression plots or in cell clusters using dotplots, violin plots. Manage marker tables from single-cell or pseudo-bulk analyses and track genes of interest using the gene scratchpad. Choose interesting cells with lasso selection directly from interactive plots and export for downstream analysis. Slice and dice datasets with custom filters based on cell metadata, gene expression or lasso selections. Efficiently handle large datasets using custom downsampling controls. CascadeR has cross-ecosystem compatibility with support for Seurat, SingleCellExperiment and AnnData objects. In addition, the app includes an integrated platform to manage multiple projects and user access that can be run on a central server to share with collaborators.https://github.com/r-universe/biocstaging/actions/runs/39962841171Thu, 22 Oct 2026 21:59:19 GMTcascadeR0.99.1successhttps://biocstaging.r-universe.devhttps://github.com/BiocStaging/cascadeRcascadeR.RmdcascadeR.htmlcascadeR2026-09-18 22:52:462026-10-22 21:35:07apratim.mitra@gmail.com (Apratim Mitra)Highly interactive & modular shiny app to explore three facets of RNA-Seq analysis: differential expression (DE), functional enrichment and pattern analysis. Several visualizations are implemented to provide a wide-ranging view of data sets. For DE analysis, we provide PCA plot, MA plot, Upset plot & heatmaps, in addition to a highly customizable gene plot. Seven different visualizations are available for functional enrichment analysis, and we also support gene pattern analysis. Genes of interest can be tracked across all modules using the gene scratchpad. In addition, carnation provides an integrated platform to manage multiple projects and user access that can be run on a central server to share with collaborators.https://github.com/r-universe/bioc/actions/runs/38647824480Wed, 14 Oct 2026 19:24:06 GMTcarnation1.1.2successhttps://bioc.r-universe.devhttps://github.com/bioc/carnationcarnation.Rmdcarnation.htmlcarnation - airway tutorial2025-03-13 14:53:242026-04-28 17:36:44