scLang

A unified language for interacting with Seurat and SingleCellExperiment

Bioconductor version: 3.23 · Package version: 1.0.0

scLang is a suite for package development for scRNA-seq analysis. It offers functions that can operate on both Seurat and SingleCellExperiment objects. These functions are primarily aimed to help developers build tools compatible with both types of input.

Installation

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

BiocManager::install("scLang")

Details

Maintainer	Andrei-Florian Stoica <andreistoica@foxmail.com>
Author	Andrei-Florian Stoica [aut, cre] (ORCID: <https://orcid.org/0000-0002-5253-0826>)
License	MIT + file LICENSE
URL	https://github.com/andrei-stoica26/scLang
Bug Reports	https://github.com/andrei-stoica26/scLang/issues
Downloads rank	214
Source branch	RELEASE_3_23
biocViews	GeneExpression, SingleCell, Software, Visualization

Documentation

Introduction to scLang

Download

Follow the installation instructions to use this package in your R session.

Source package	scLang_1.0.0.tar.gz
Windows binary (x86_64)	scLang_1.0.0.zip
macOS binary (arm64)	scLang_1.0.0.tgz
macOS binary (x86_64)	scLang_1.0.0.tgz

Dependencies

Imports: dplyr, ggplot2, henna, methods, paletteer, rlang, S4Vectors, SeuratObject, SingleCellExperiment, stats, SummarizedExperiment

Suggests: BiocStyle, knitr, qs2, rmarkdown, scater, scRNAseq, Seurat, testthat (>= 3.0.0)

Reverse dependencies

Imports Me (2): GSABenchmark, hammers