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Bioconductor - scRNAseqApp

scRNAseqApp

This is the released version of scRNAseqApp; for the devel version, see scRNAseqApp.

A single-cell RNAseq Shiny app-package

Bioconductor version: Release (3.21)

The scRNAseqApp is a Shiny app package designed for interactive visualization of single-cell data. It is an enhanced version derived from the ShinyCell, repackaged to accommodate multiple datasets. The app enables users to visualize data containing various types of information simultaneously, facilitating comprehensive analysis. Additionally, it includes a user management system to regulate database accessibility for different users.

Author: Jianhong Ou [aut, cre] ORCID: 0000-0002-8652-2488

Maintainer: Jianhong Ou <jou at morgridge.org>

Citation (from within R, enter citation("scRNAseqApp")): Installation

To install this package, start R (version "4.5") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("scRNAseqApp")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("scRNAseqApp")
Details biocViews RNASeq, SingleCell, Software, Visualization Version 1.8.0 In Bioconductor since BioC 3.17 (R-4.3) (2 years) License GPL-3 Depends R (>= 4.3.0) Imports bibtex, bslib, circlize, ComplexHeatmap, colourpicker, data.table, DBI, DT, fs, GenomicRanges, GenomeInfoDb, ggdendro, ggforce, ggplot2, ggrepel, ggridges, grDevices, grid, gridExtra, htmltools, IRanges, jsonlite, Matrix, magrittr, methods, patchwork, plotly, RColorBrewer, RefManageR, rhdf5, Rsamtools, RSQLite, rtracklayer, S4Vectors, scales, scrypt, Seurat, SeuratObject, shiny, shinyhelper, shinymanager, slingshot, SingleCellExperiment, sortable, stats, tools, xfun, xml2, utils System Requirements URL https://github.com/jianhong/scRNAseqApp Bug Reports https://github.com/jianhong/scRNAseqApp/issues See More Package Archives

Follow Installation instructions to use this package in your R session.

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