scRNAseqApp

This is the development version of scRNAseqApp; for the stable release version, see scRNAseqApp.

A single-cell RNAseq Shiny app-package


Bioconductor version: Development (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: )

Maintainer: Jianhong Ou <jianhong.ou at duke.edu>

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")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

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")
scRNAseqApp Vignette HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews RNASeq, SingleCell, Software, Visualization
Version 1.7.6
In Bioconductor since BioC 3.17 (R-4.3) (1.5 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
Suggests rmarkdown, knitr, testthat, BiocStyle
Linking To
Enhances celldex, future, SingleR, SummarizedExperiment, tricycle
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package scRNAseqApp_1.7.6.tar.gz
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/scRNAseqApp
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/scRNAseqApp
Bioc Package Browser https://code.bioconductor.org/browse/scRNAseqApp/
Package Short Url https://bioconductor.org/packages/scRNAseqApp/
Package Downloads Report Download Stats