scRNAseqApp
A single-cell RNAseq Shiny app-package
Bioconductor version: Release (3.20)
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] 
Maintainer: Jianhong Ou <jianhong.ou at duke.edu>
citation("scRNAseqApp")):
Installation
To install this package, start R (version "4.4") 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")| scRNAseqApp Vignette | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | RNASeq, SingleCell, Software, Visualization |
| Version | 1.6.0 |
| 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, GenomicRanges, GenomeInfoDb, ggdendro, ggforce, ggplot2, ggrepel, ggridges, grDevices, grid, gridExtra, htmltools, IRanges, jsonlite, 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_1.6.0.tar.gz |
| Windows Binary (x86_64) | |
| macOS Binary (x86_64) | scRNAseqApp_1.6.0.tgz |
| macOS Binary (arm64) | scRNAseqApp_1.5.22.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 |