This site is a development preview. As such the content and styling may not be final and is subject to change before going into production. To see more information about the redesign click here.

Menu

Documentation:

R / CRAN packages and documentation

Support

Please read the posting guide. Post questions about Bioconductor to one of the following locations:

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 (3.18)

scRNAseqApp is a Shiny app package that allows users to visualize single cell data interactively. It was modified from ShinyCell and repackaged to a tool to show multiple data. It can visulize the data with multiple information side by side.

Author: Jianhong Ou [aut, cre]

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

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

Installation

To install this package, start R (version "4.3") 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 1.1.9
In Bioconductor since BioC 3.17 (R-4.3) (< 6 months)
License GPL-3
Depends R (>= 4.3.0)
Imports bibtex, bslib, circlize, ComplexHeatmap, data.table, DT, GenomicRanges, GenomeInfoDb, ggdendro, ggforce, ggplot2, ggrepel, ggridges, grDevices, grid, gridExtra, hdf5r, htmltools, IRanges, jsonlite, magrittr, methods, patchwork, plotly, RColorBrewer, RefManageR, Rsamtools, rtracklayer, S4Vectors, scales, scrypt, Seurat, SeuratObject, shiny, shinyhelper, shinymanager, slingshot, SingleCellExperiment, sortable, stats, tools, xfun, xml2, utils
Linking To
Suggests rmarkdown, knitr, testthat, BiocStyle
System Requirements
Enhances celldex, future, SingleR, SummarizedExperiment, tricycle
URL https://github.com/jianhong/scRNAseqApp
Bug Reports https://github.com/jianhong/scRNAseqApp/issues
See More
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package scRNAseqApp_1.1.9.tar.gz
Windows Binary scRNAseqApp_1.1.9.zip
macOS Binary (x86_64) scRNAseqApp_1.1.9.tgz
macOS Binary (arm64) scRNAseqApp_1.1.9.tgz
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